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International Journal of Engineering Research and Development
ISSN: 2278-067X, Volume 1, Issue 2 (May 2012), PP.55-69
www.ijerd.com

    Effect of Co-pesticide on Adsorption- Desorption Process on
                          Agricultural Soils
                                               Rounak M. Shariff
        Department of Chemistry, College of Science / University of Salahaddine-Erbile, Kurdistan Region, Iraq



Abstract––This work aim is to study the effect of different co-pesticides as Atrazine and propanil on adsorption processes
on agricultural soil samples. The co-pesticides as Atrazine on adsorption behavior of metolachlor [ 2-chloro-N- (2-ethyl-
6-methylphenyl)-N-(2-methoxy-1-methylethyl) acetamide)] which is nonionic herbicide, and propanil on adsorption
behavior of 2,4-D (2,4- dichlorophenoxyacetic acid) as anionic herbicide have been preformed, using batch equilibrium
experiments on six agricultural soil samples. Linear and Freundlich models were used to describe the competitive
sorption between the pair herbicides. Variation in adsorption affinities of the soils to the pesticides was observed.
Freundlich coefficient KF values for adsorption process varied between 0.079 - 2.282 mlg-1 and 0.058- 0.720 mlg-1 for
metolachlor/atrazine and 2, 4-D/propanil respectively. The sorption strength of the herbicides decreased with increasing
solution concentration. A nonionic surfactant was tested for its desorption potential and was found to be fairly effective at
critical micelles concentration cmc concentration with removal of more than 65% sorbed pair competitive herbicides.
Freundlich coefficient for desorption process KFdes for desorption process varied between 0.209- 0.523 and 0.926- 1.296
mlg-1 for metolachlor/atrazine and 2,4-D/propanil respectively. To investigate the effect of adsorption-desorption in the
presence of cmc concentration of the nonionic surfactant for each pesticide alone also performed by using batch
equilibrium experiments on six agricultural soil samples. The Freundlich coefficient KF in the presence of the nonionic
surfactant for metolachlor and 2,4-D ranged between 0.337-0.437 and 0.001-1.012 mlg-1 for adsorption processes. The
Freundlich coefficient KFdes values for desorption process in presence of the nonionic surfactant ranged from 0.209 to
0.689 mlg-1 and 0.238 to 1.442 mlg-1 for metolachlor and 2,4-D respectively.

Keywords––Atrazine, 2, 4-D, HPLC, Metalachlor Propanil.

                                                I. INTRODUCTION
      Co-application of herbicides to soil created competitive sorption between the two herbicide producing smaller
partition coefficients than for separate each herbicide. The herbicides co-application on agricultural fields has the
potential to increase the mobility of these herbicides in soil, thereby also increasing the risk for groundwater concentration
[1&2]. Contamination of these compounds with soil and drinking water has been generally recognized as dangerous [3].
Two major factors known to influence sorption of pesticides are soil properties and molecular characteristics. Sorption of
neutral organic pesticides, as atrazine depends primarily on soil organic carbon (OC) content [4]. Sorption determines
whether the pesticide will persist, be transported, and pollute the underlying ground water [5]. Strongly adsorbed and
persistent pesticides that have large (Koc) values are likely to remain near the soil surface. In contrast, weakly adsorbed
but persistent pesticides (small Koc) may be readily leached through the soil and more likely to contaminate ground water
[6]. Kinetic data, which are measured infrequently, have the advantage of taking into account possible time-dependent
reactions for adsorption, release, or desorption. Non-equilibrium conditions may be caused by the heterogeneity of
sorption sites and slow diffusion to sites within the soil matrix, or organic matter [7]. Batch equilibrium experiments and
Freundlich values are usually obtained for such competes for sorption sites in soil [8]. The selected herbicides co-
application atrazine [9&10] and metolachlor [11] to soil. Each herbicides were persistence in the soil, its soluble in water,
and poorly bound to most soils so it leaching down towards the ground water. The two nonionic herbicides were
essentially slightly decreased and desorption amount increase little. Propanil [10&12] and 2, 4-D [11] herbicides co-
application to soil. The effects of propanil on the sorption of anionic herbicides are possibly caused by the enhancement
of electrostatic repulsion by pre-sorbed anionic herbicide/propanil and competition for sorption on interior sorption sites
of soil particles which probably leads to small smaller partition coefficients. Employing of surfactant as batch washing
techniques is an ex-situ process in which the contaminated soil is first excavated [13], which cause higher desorption for
the herbicides.

                                      II. MATERIALS AND METHODS
2.1 SOLIS
          Fresh soil samples were taken from six soil samples were collected from six main agricultural, representing a
range of physico-chemical properties. Subsamples of homogenized soils were analyzed for moisture content, organic
matter content, particle size distribution, texture, pH, loss on ignition and exchangeable basic cations the detail were
characterized in previous article[14].




                                                             55
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils

2.2 MATERIALS
          Analytical grad substituted with following purities expressed in weight percent Metolachlor (purity 97.8%), and
2, 4-D (purity 98%) atrazine (purity 99.2%), propanil (purity 99.7%) respectively. Were all purchased from Riedal-de
Haen, Sigma-Aldrich company ltd. A nonionic surfactant TritonX-100 (TX-100), its chemical name is [Octylphenol
ethoxcylate] surfactant, its Empirical formula is (C 8H17C6H4O(CH2CH2O)NH); where N=9.5, its molecular weight is 625
g mol-1, and its critical micelles concentration cmc concentration 0.0002M was obtained from Fluka AG, Buchs SG, and
were used without further treatments. All chemicals used were of analytical grade reagents and used without pre-
treatments. Standard stock solutions of the pesticides were prepared in deionised water.

2.3 ADSORPTION-DESORPTION EXPERIMENTS
           Adsorption of the pesticides from aqueous solution was determined at temperature (25±1 C˚) employing a
standard batch equilibrium method. Duplicate air-dried soil samples were equilibrated with different pesticide
concentrations (1, 2, 4 and 8 µg ml -1) were for metolachlor/Atrazine 2,4-D/propanil, which the ratio of each pair were 1:1.
The samples plus blanks (no pesticide) and control (no soil) were thermostated and placed in shaker for 0.5, 1, 3, 6, 9, 12
and 24h for metolachlor/Atrazine and 0.5, 1, 1.5,2, 2.5, 3, 3.5, 4, 6 and 24h for 2,4-D/propanil. The tubes were centrifuged
for 20 min. at 3000 rpm. One ml of the clear supernatant was removed and analyzed for the pesticide concentration.
Pesticide identification was done by PerkinElmer series 200 USA family high performance liquid chromatography
(HPLC) for each pesticide concentration. The detailed information about the soil characteristics and their sorption process
has been reported in previous work [11]. Desorption processes were done as each test tube was placed in a thermostated
shaker at (25±1 C˚) after equilibration for sufficient time as mentioned above with different pesticide concentrations (1, 2,
4 and 8 µg ml-1) the samples were centrifuged, 5ml of supernatant was removed from the adsorption equilibrium solution
and immediately replaced by 5ml of a nonionic surfactant at cmc concentration and this repeated for four times [15].
Adsorption-desorption of two pesticides each alone done in presence of nonionic surfactant at cmc concentration as
mentioned above [16]. The resuspended samples were shaken for mentioned time previously for the kinetic study for each
pesticide.

                                               III. DATA ANALYSIS
3.1 ADSRPTION-DESORPTION ISOTHERM
3. 2.1 DISTRIBUTION COEFFICIENT
The distribution coefficient (Kd) was calculated by the using the following expression [17].

  C s  K d Ce
                                 (1)

The distribution coefficient (Kd) was calculated by taking the ratio of adsorption concentration in soil (C s) and equilibrium
concentration in solution (Ce), and averaged across all equilibrium concentration to obtain a single estimate of K d of the
pesticides demonstrated in (Table 1-4)

3. 2.1 FREUNDLICH COEFFICIENT
Adsorption isotherm parameters were calculated using the linearized form of Freundlich equation [17]


                  1                          (2)
log Cs  log K F  log Ce
                  n
Cs and Ce were defined previously, KF is Freundlich adsorption coefficients, and n is a linearity factor, it is also known as
adsorption intensity, 1/n is the slope and logKF is the intercept of the straight line resulting from the plot of logC s versus
logCe as shown in fig 1-4 . The values of KF and 1/n calculated from this regression equation showed that Freundlich
adsorption model effectively describes isotherms for the pesticides in all cases. Desorption isotherms of the pesticides
were fitted to the linearzed form of the Freundlich equation [18].



                                  1
  log C s  log K Fdes               log Ce        (3)
                                 ndes
Where Cs is the amount of pesticides still adsorbed (μg g-1), Ce is the equilibrium concentration of pesticides in solution
after desorption (μg mL-1), and KFdes (μg g1-nfdes /mlnfdes g-1) and nfdes are two characteristic constants of the pesticides
desorption [19]. The value of the KFdes and nfdes constants of the pesticides demonstrated in (Table1-4).




                                                             56
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils

3. 3 HYSTERESIS COEFFICIENT
         A study of the pesticides desorption isotherms show positive hysteresis coefficients H 1 on the six selected soil
samples. Hysteresis coefficients (H1) can be determined by using the following equation [18].
               na
     H1                                     (4)
              ndes
Where na and ndes are Ferundlich adsorption and desorption constants, respectively, indicating the greater or lesser
irreversibility of adsorption in all samples, the highest values corresponding for which the highest adsorption constant was
obtained. The coefficient H1 is a simple one and easy to use, Data in table 5&6 demonstrated H 1 values for metolachlor,
and 2, 4-D respectively. The extent of hysteresis was quantified by using hysteresis coefficient (ω), it was defined on the
discrepancy between the sorption and desorption isotherms, and calculated by using Freundlich parameters estimated
from sorption and desorption isotherms separately, (ω) expressed as [20].


          na
 (           1) x100                     (5)
         ndes

Recently Zhu et. al [21] proposed an alternative hysteresis coefficient )λ( based on the difference in the areas between
adsorption and desorption isotherms, they derived the following expression for the parameter λ for the traditional
isotherms.


       na  1
                                      (6)
  (           1) x100
      ndes  1

3. 4 ORGANIC MATTER NORMALIZED ADSORPTION COEFFICIENT
          The linear or distribution coefficient (Kd) is related to soil organic carbon (OC) and soil organic matter (OM) by
the following equations [22].

               %OM
 %OC                               (7)
               1.724


              100K d                (8)
  K OM 
              %OM

             100K d
  K OC                              (9)
              %OC

                                      IV. RESULTS AND DISCUSSION
          The Kd values for adsorption process for metolachlor/atrazine varied between 1.384 - 2.832 mlg-1 while the
regression coefficient R2 value ranging from 0.705 to 0.895 with standard error S.E. value between 0.012 – 0.096. The Kd
values for adsorption process for 2,4-D/propanil varied between 2.209- 5.542 mlg-1, while the value of R2 ranging from
0.704 to 0.783 with standard error S.E. value between 0.019 – 0.058, the regression equations relating that the highest
values are the most fitted model. The competitive effect of pair pesticides sorption by soil generally decreased with
increasing initial herbicide concentrations because of the saturation of sorption sites in soil, our results agreed with
research [2].The each two pair pesticides are widely used for pest control in agricultural crops[23&24].

          The desorption experiments were conducted with a nonionic surfactant TritonX-100 at concentration 0.1cmc,
cmc and 20cmc on metolachlor and 2,4-D sorbed soil corresponding to initial concentration 4 μg mL-1 the comparative
results shown in table 7, present that the degree of desorption of each pesticides from soil into surfactant solution was 46
% for 0.1cmc concentration; 65% for cmc concentration and 68% for 20cmc concentration. The cmc concentration gave
the best results as there was only a normal increase in desorption at the concentration of 3%. So the used surfactant
                                                            57
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils

solution is therefore fairly effective in desorption of metolachlor and 2, 4-D from the contaminated soil. The dynamics are
believed to be highly related to the adsorption of the four herbicides used, could be partially explained by the unoccupied
sites in each soil more by the total sorption capacity [25]. Although results of the research showing an important role to
the organic matter in the adsorption process[26]. Another explanation of the mechanism for adsorption process was the
formation of adducts between the pair herbicide used and the and the constituent of the soil [27].

           The Kd values for desorption process in the presence of cmc concentration of the surfactant varied between for
metolachlor/atrazine 3.498- 14.43 mlg-1 while the value of R2 ranging from 0.726 to 0.957 with standard error S.E. value
between 0.016 – 0.090. The Kd values for desorption process in the presence of cmc concentration of the surfactant for
2,4-D/propanil varied between 18.25- 52.46 mlg-1 while the value of R2 ranging from 0.763 to 0.996 with standard error
S.E. value between 0.005 – 0.091. The Ferundlich nonlinear sorption isotherm showed a good fit to the measured data for
all soil samples for metolachlor/atrazine and 2,4-D/propanil. The KF values for adsorption process for
metolachlor/atrazine varied between 0.079 - 2.282 mlg-1 , the R2 value ranging from 0.758 to 0.889 with S.E. 0.032-
0.039 and the value of the nonlinearity reneging between nF 1.515-2.392. The KF values for adsorption process for2,4-
D/propanil 0.058- 0.720 mlg-1, the R2 value ranging from 0.799 to 0.987 with S.E. 0.032-0.038 and the value of the
nonlinearity reneging between nF 0.543-2.198. The values of KF less for the two pair as the two pesticides were used
alone. Freundlich coefficient for desorption process KFdes for metolachlor/atrazine in the presence of cmc concentration of
the surfactant varied between 0.209- 0.523 mlg-1 the R2 value ranging from 0.770 to 0.941 with S.E. 0.044-0.054, the
values of nFdes 1.209-3.968. The KFdes for 2, 4-D/propanil in the presence of cmc concentration of the surfactant between
0.926- 1.296 mlg-1 the R2 value ranging from 0.725 to 0.996 with S.E. 0.068-0.083, values of nFdes 0.588-1.342. The Kd
values for adsorption process in the presence of cmc concentration of the surfactant varied between for metolachlor
1.000- 1.226 mlg-1 while the value of R2 ranging from 0.703 to 0.901 with standard error S.E. value between 0.154 –
0.252. The Kd values for adsorption process in the presence of cmc concentration of the surfactant for 2,4-D varied
between 1.332- 3.712 mlg-1 while the value of R 2 ranging from 0.693 to 0.965 with standard error S.E. value between
0.025 – 0.068. The Kd values for desorption process in the presence of cmc concentration of the surfactant varied between
for metolachlor 4.431- 13.01 mlg-1 while the value of R 2 ranging from 0.768 to 0.957 with standard error S.E. value
between 0.010 – 0.031. The Kd values for desorption process in the presence of cmc concentration of the surfactant for
2,4-D varied between 1.081- 57.48 mlg-1 while the value of R2 ranging from 0.707 to 0.965 with standard error S.E. value
between 0.023 – 0.086. The KF values for adsorption process in the presence of cmc concentration of the surfactant for
metolachlor varied between 0.337 - 0.437 mlg-1 , the R2 value ranging from 0.752 to 0.880 with S.E. 0.041-0.049 and the
value of the nonlinearity reneging between nF 1.600-2.387. The KF values for adsorption process in the presence of cmc
concentration of the surfactant for 2, 4-D 0.001- 1.012 mlg-1, the R2 value ranging from 0.849 to 0.992 with S.E. 0.0324-
0.039 and the value of the nonlinearity reneging between n F 0.808-2.028. Freundlich coefficient for desorption process
KFdes for metolachlor in the presence of cmc concentration of the surfactant varied between 0.209- 0.689 mlg-1 the R2
value ranging from 0.776 to 0.998 with S.E. 0.027-0.063, the values of nFdes 0.709-1.828. The KFdes for 2, 4-D in the
presence of cmc concentration of the surfactant 0.238- 1.442 mlg-1 the R2 value ranging from 0.735 to 0.976 with S.E.
0.021-0.089 ,the values of nFdes 0.888-1.486. The size of the organic is considered to play an important role in its rate of
adsorption, Baily and white 1970[28]. et. al. summarized the of molecular size as follows: a)Adsorption of noneletrolytes
by nonpolar adsorbents increases as molecular weights of the substances increases. b) Van der Waals forces of adsorption
increases with increasing molecular size. c) Adsorption decreases because of steric hindrance. The evidence available also
shows the presence of a maximum limit in molecular size in adsorption of organic compounds. Larger molecules (chain
length greater than five units) may be adsorbed only in the presence of excess water. However very large molecules
difficulties in adsorption due to adverse molecular configuration. The use of mixture for the each pair herbicides, This
indicated that atrazine and propanil competed with the two herbicides for sorption sites in soil[29]. The differences in
adsorption coefficient between samples were statistically significant, for soils with organic content for that readily sorbed
propanil than the other, thereby being more competitive in soils with greater soil organic matter content. The Ferundlich
slope of the isotherm was always less than unity and indicating that the affinity between the herbicides used alone and soil
was greatest at initial herbicides concentrations and decreased as increasing the herbicides concentrations [30].

          Data in table 5 demonstrated H1 values for metolachlor/atrazine and 2,4-D/propanil from the selected soil
samples in the range from 0.615-1.751 and 0.594-2.524 respectively. The calculated values of hysteresis coefficient (ω)
for adsorption-desorption of for metolachlor/atrazine and 2, 4-D/propanil on the selected soil samples ranged from -43 to -
75 and from -41 to 152 respectively. Whereas hysteresis coefficient (ω) is only applicable for the traditional type
isotherms of the successive desorption [31&32]. The hysteresis coefficient (λ) for metolachlor/atrazine and 2,4-D/propanil
from the selected soil samples were ranged from -10 to 148         and from 29 to 1662 respectively. The H1 values for
metolachlor and 2, 4-D alone in the presence of cmc surfactant as summarized in table 6 from the selected soil samples in
the range from 1.144-2.687 and 0.869-2069 respectively, indicating an increase in the irreversibility of the adsorption of
herbicide as the clay content increases, and indicate the increased difficulty of the sorbed analytic to desorbed from the
matrix. The calculated values of hysteresis coefficient (ω) for adsorption-desorption of for metolachlor and 2,4-D on the
selected soil samples ranged from 14 to 169 and from -13 to -107 respectively. The hysteresis coefficient (λ) for
metolachlor and 2, 4-D from the selected soil samples were ranged from -40 to -94 and from -6 to 1441 respectively.




                                                            58
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils

                                                    V. CONCLUSION
           The using of each pair of herbicides metolachlor/atrazine and 2,4-D/propanil may increase herbicides leaching
to depth relative to the use of each one alone on the six agricultural soil samples. The cmc concentration gave the best
results in desorption. So the used surfactant solution is therefore fairly effective in desorption of metolachlor, 2, 4-D from
the contaminated soil and for each pair.

                                           VI. ACKNOWLEDGEMENTS
         The authors wish to thank all the chemistry staff in Salahaddin University. I express my gratitude to Assit proff
Dr. Kasim.


                                                       REFERENCES
[1]       Farenhorst A and Bowman B. T., Competitive sorption of atrazine and metolachlor in soil, Journal of Science and health, 33,
          1998, 671-682.
[2]       Annemieke Farenhorst and Brent Prokopowich. The effect of propanil Co-application on 2,4-D sorption by soil . Journal of
          environmental science and health part b-pesticides, food contaminants, and agricultural wastes. 38(6), 2003, 713-721.
[3]       Pimentel, D., and L. Levitan, Amounts applied and amounts reaching pests, Bioscience, 36, 1986, 86-91.
[4]       Madhun, Y. A., V. H. Freed, J. L., and Fang, Sorption of bromacilm chlortoluron, and diuron by soils, Soil Sci. Soc. Am. J,
          50, 1986, 1467-1471.
[5]       Rao, P. S. C. , A. G. Hornsby. 1983. Behavior of pesticides in soils and water. Soil Sci. Fact Sheet SL40. Univ. of Florida,
          Gainesville.
[6]       E. Barriuso, Ch. Feller, R.Calvet and C.Cerri. Sorption of atrazine, terbutryn and 2,4-D herbicides in two Brazilian Oxisols.
          Elesevier Science Pulishers B. V.,Amsterdam, 53, 1992, 155-167.
[7]       P. Nkedi – kizza, D. Shinde, M. R.Savabi, Y. Ouyang, and L. Nieves. Sorption kinetics and equlibria of organic pesticides in
          cabonatic soils from south Florida. J. Environ. Qual, 35, 2006, 268-276.
[8]       Hamaker J W., The Application of Mathematical Modeling to the Soil Persistence and Accumulation of Pesticides, Proc.
          BCPC Symposium, Persistence of Inscticide and Herbicides, 1967, 181-199.
[9]       Benny Chefetz, Sorption of Phenantgrene and Atrazine by Plant Cuticular fractions, Environmental Toxicology and
          Chemistry, 22, 2003, 2492-2498.
[10]      Kafia M. Shareef and Rounak M. Shariff, Adsorption of Herbicides on eight Agricultural Soils, J. of university of anbar for
          pure science, 3, 2009, 67-75.
[11]      Rounak M. Shariff. “Adsorption-Desorption of Metolachlor and 2,4-D on Agricultural Soils”. International Journal of
          Scientific & Engineering Research, 2, 2011, 1-8.
[12]      Jack R. Plimmer, Philip C. Kearney, Hideo Chisaka, Joseph B. Yount, and Ute I. Klingebiel. 1,3 - Bis (3,4-dichlorophenol)
          triazene from propanil in soils.J. AG, FOOD CHEM.,18( 5), 1970,859-865.
[13]      DiCesare, D., and J. A. Simth. 1994. Surfactant effects on desorption of nonionic compounds. Rev. Environ. Contam. Toxicol.
          134:1-29.
[14]      M. Rounak Shariff., Compost Adsorption Desorption of Picloram in the Presence of Surfactant on Six Agricultural Soils,
          International Journal of Scientific & Engineering Research, 2(5), 2011,2229-5518.
[15]      Mohammed A Ali and Peter J. Baugh, Sorption, Desorption Studies of Six Pyerethroids and Mirex on Soils using GC/ MS -
          NICI , Internet. J. Environ. Anal. Chem., 83(11),2003, 923-933.
[16]      E. Iglesias-Jimenez, M. J. Sanchez-Martin, M.Sanchez-Camazano, Pesticide adsorption in a soil – water system in the
          presence of surfactants, Chemosphere, 32(9), 1996, 1771-1782.
[17]      OP Banasal., Kinetics of interaction of three carbamate pesticides with Indian soils: Aligrah district, Pest Manag Sci., 60,
          2004, 1149-1155.
[18]      R. A. Griffin and J. J. Jurinak, Test of a New Model for the Kinetics of Adsorption-Desorption Processes, Soil Sci Soc. Amer.
          Proc., 37,1973, 869-872.
[19]      Zhu, H., and H. M. selim, Hysteretic of metolachlor Adsorption - desorption in soil, J. Soil. Sci Qual.,165, 2000, 632-645.
[20]      Cass T. Miller and Joseph A. Pedlt, Sorption-Desorption Hysteresis and A biotic Degradation of Lindane in a Surface
          Material, Environ. Sci. Technol, 26, 1992, 1417-1427.
[21]      H. M. Selim and H. Zhu, Organic Compounds in Environment Atrazine Sorption-Desorption Hysteriesis by Sugarcane Mulch
          Residue, J. Environ. Qual., 34, 2005, 325-335.
[22]      Adlophe Monkiedje and Micheal Spiteller. fungicides, mefenoxam and meta laxly, and their acid metabolite in typical
          Cameroonian and German soils, chemospher,49(6) 2002, 659-668.
[23]      T. Sismanoglu, A. Ercage, S. Pura and E. Ercage, Kinetics and isotherms of Dazomet Adsorption on Natural Adsorbents, J.
          Braz. Chem. Soc., 15(5), 2004, 669-675.
[24]      Miels Henrik Spliid, Arne Helweggcnol and Kiesten Helnrichson "Leaching and degradation of 21 pesticides inafull -scale
          model biobed" 2006. Interscices.
[25]      Thanh H. Dao, Competitive anion sorption effects on dairy wast water dissolved phosphorus extraction with zeolite-based
          sorbents, Food, Agriculture & Environment,3(4), 200,3263-269.
[26]      Marcelo Kogan, Alejandia Metz and Rodrigo Ortega. , Adsorption of glyphosate in chilecan and its relationship with
          unoccupied phosphaste binding sites, Pesq agropes bras .Brasili, 38(4), 2003, 513-519.
[27]      Baoshan Xing, Joseph J. Pingnatello, and Barbara Giglitti. Competitive sorption between atrazine and other organic
          compounds in soils and model sorbents . Environ. Sci. Techno, 30, 1996, 2432-2440
[28]      Bailey, G. W. And J. L. White "Factors influencing the adsorption and movement of pesticides in soils "Springs New York
          .1970. vol 30 : 29-92.
[29]      Daniel Said- Pullicino, Giovanni Gigliotti, and Alfred J. Vella, Environmental of triasulfuran in soils Amended with
          municipal waste compost, J. Environ. Qual. ,33, 2004, 1743-1751.
[30]      Elsayed A. Elkhatib, A. M. Mahdy and N. H. Bbrakat, Thermodynamics of copper desorption from soils as affected by citrate
          and succinate, Soil & water Res., 2 ,(4), 2007,135-140.

                                                                59
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils

[31]     Cludio A. Spadotto and Arthur G. Hornsby, organic compounds in the environment soil sorption of acidic pesticides:
         modeling pH effects, Environ Qual. 32, 2003, 949-956.

  Table 1: Adsorption of the co-application metolachlor/atrazine and their desorption in the presence of TritonX-100 at
         cmc concentration, the linear and Freundlich models isotherm parameters on the selected soil samples.
         Ads-des Models




                                                   Parameter
                                                               Soils


                                                               S1      S2         S3      S4        S5        S6
                          Ads.Distr. coffi.




                                              Kd (calc)        2.832   1.618      1.599   1.384     1.870     1.956

                                              S.E              0.075   0.072      0.096   0.012     0.075     0.095

                                              R2               0.705   0.821      0.794   0.890     0.893     0.755

                                              KOC(mL/g)        101     156        50      59        98        130

                                              KOM(mL/g)        1.744   2.685      0.863   1.013     1.684     2.235
                          Freundlich (ads)




                                              KF(mL/g)         0.079   0.199      0.233   0.282     0.155     0.218

                                              S.E              0.034   0.037      0.038   0.039     0.032     0.035

                                              nF               2.392   1.515      1.761   1.789     1.563     2.257

                                              R2               0.864   0.835      0.810   0.889     0.776     0.758

                                              Kd (calc)        4.158   8.386      3.498   14.43     6.116     4.366
                          Des.Distr. coffi.




                                              S.E              0.019   0.027      0.023   0.016     0.090     0.024

                                              R2               0.940   0.780      0.957   0.780     0.759     0.726

                                              KFdes(mL/g)      0.244   0.461      0.209   0.464     0.523     0.252
                          Freundlich(des)




                                              S.E              0.044   0.046      0.045   0.054     0.051     0.047

                                              nF               1.366   2.463      1.178   2.463     1.209     3.968

                                              R2               0.941   0.838      0.906   0.838     0.913     0.770




                                                                             60
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils

Table 2: Adsorption of metolachlor alone and it’s desorption in the presence of TritonX-100 at cmc concentration, the
                  linear and Freundlich models isotherm parameters on the selected soil samples.




            Ads-des Models


                                     Parameter
                                                         Soils




                                                         S1        S2           S3      S4         S5         S6
            Ads.Distr. coffi.




                                Kd (calc)                1.142     1.160        1.099   1.000      1.226      1.014

                                S.E                      0.252     0.127        0.122   0.242      0.154      0.250

                                R2                       0.741     0.800        0.901   0.703      0.777      0.721

                                KOC(mL/g)                40.8      112          34      42         64         67

                                KOM(mL/)                 0.703     1.924        0.593   0.732      1.104      1.158
            Freundlich (ads)




                                KF(mL/g)                 0.385     0.340        0.348   0.419      0.337      0.437

                                S.E                      0.045     0.042        0.041   0.045      0.043      0.049

                                nF                       2.092     1.718        1.600   2.387      1.905      2.325

                                R2                       0.771     0.880        0.879   0.856      0.854      0.752
            Des.Distr. coffi




                                Kd (calc)                11.11     13.01        4.431   7.109      8.069      12.17

                                S.E                      0.016     0.017        0.031   0.027      0.012      0.010

                                R2                       0.868     0.768        0.859   0.781      0.957      0.811
            Freundlich(des)




                                KFdes(mL/g)              0.658     0.659        0.209   0.488      0.614      0.689

                                S.E                      0.057     0.063        0.044   0.027      0.062      0.061

                                nF                       1.828     0.987        1.178   2.049      0.709      1.451

                                R2                       0.981     0.803        0.906   0.776      0.998      0.856




                                                                           61
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils

Table 3: Adsorption of the co-application of 2,4-D/propanil and their desorption in the presence of TritonX-100 at cmc
          concentration, the linear and Freundlich models isotherm parameters on the selected soil samples.


        Ads-des Models




                                                  Parameter
                                                              Soils



                                                              S1       S2        S3      S4        S5        S6
                         Ads.Distr. coffi.




                                             Kd (calc)        2.678   3.362      2.209   5.542     4.565     3.519

                                             S.E              0.058   0.019      0.064   0.029     0.035     0.033

                                             R2               0.704   0.783      0.771   0.742     0.728     0.737

                                             KOC(mL/g)        96      324        69      235       238       233

                                             KOM(mL/g)        1.649   5.578      1.191   4.055     4.112     4.020
                         Freundlich (ads)




                                             KF(mL/g)         0.720   0.100      0.135   0.203     0.122     0.058

                                             S.E              0.034   0.035      0.033   0.038     0.036     0.037

                                             nF               0.543   1.484      1.988   2.151     2.198     1.795


                                             R2               0.799   0.987      0.920   0.872     0.935     0.806

                                             Kd (calc)        18.25   30.15      27.56   28.04     52.46     21.56
                         coffi.
                         Des.Distr.




                                             S.E              0.091   0.074      0.033   0.005     0.027     0.035


                                             R2               0.835   0.838      0.912   0.996     0.763     0.828
                         Freundlich(des)




                                             KFdes(mL/g)      0.926   1.296      1.096    1.131    1.291     1.022

                                             S.E              0.068   0.079      0.074   0.073     0.083     0.069

                                             nF               0.914   0.588      1.114   1.043     1.342     0.968

                                             R2               0.782   0.932      0.891   0.996     0.725     0.897




                                                                            62
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils

Table 4: Adsorption of 2,4-D alone and its desorption in the presence of TritonX-100 at cmc concentration, the linear
                     and Freundlich models isotherm parameters on the selected soil samples.



          Ads-des Models




                                                    Parameter
                                                                Soils



                                                                S1      S2           S3      S4      S5      S6
                           Ads.Distr. coffi.




                                               Kd (calc)        1.332   1.801        1.401   3.712   3.037   2.212

                                               S.E              0.068   0.025        0.067   0.042   0.041   0.033

                                               R2               0.965   0.791        0.977   0.693   0.825   0.703

                                               KOC(mL/g)        48      173          44      158     159     147


                                               KOM(mL/g)        0.820   2.988        0.756   2.716   2.736   2.527
                           Freundlich (ads)




                                               KF(mL/g)         0.253   1.012        0.266   0.059   0.001   0.110

                                               S.E              0.038   0.036        0.037   0.039   0.035   0.034

                                               nF               1.420   0.808        1.678   2.028   1.838   1.773

                                               R2               0.930   0.977        0.992   0.905   0.849   0.922

                                               Kd (calc)        1.081   21.27        13.54   16.77   57.48   27.954
                           Des.Distr. coffi.




                                               S.E              0.056   0.029        0.060   0.086   0.028   0.023

                                               R2               0.965   0.932        0.888   0.707   0.838   0.802
                           Freundlich(des)




                                               KFdes(mL/g)      0.238   1.031        0.754   0.784   1.442   1.064

                                               S.E              0.038   0.067        0.021   0.026   0.089   0.071

                                               nFdes            1.443   0.929        1.504   1.486   0.888   1.340


                                               R2               0.976   0.927        0.999   0.735   0.796   0.932




                                                                                63
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils

Table 5: Hysteresis effect for the co-application of each pair metolachlor/atrazine, and 2,4-D/propanil on the selected soil
                                                          samples.



              Soil
                                          Metolachlor /atrazine                  2,4-D/propanil

                                          H1        ω         λ                  H1            ω          λ



         S1                               1.751     75        184                0.594         -41        29


         S2                               0.615     -39       109                2.524         152        1196


         S3                               1.495     49        -10                1.785         79         712



         S4                               0.726     -27       63                 2.062         106        457


         S5                               1.293     29        237                1.638         64         958

         S6                               0.569     -43       16                 1.854         85         1662



              Table 6:Hysteresis effect for metolachlor and, 2,4-D each one alone on the selected soil samples.
                          Soil




                                           metolachlor                   2,4-D

                                           H1        ω            λ      H1              ω           λ



                     S1                    1.144     14           71     0.984           -2          -6


                     S2                    1.740     74           94     0.869           -13         2


                     S3                    1.358     36           - 40   1.116           12          183


                     S4                    1.164     16           16     1.365           37          1228


                     S5                    2.687     169          82     2.069           107         1441

                     S6                    1.602     60           58     1.323           32          867




                                                                  64
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils

Table 7:Desorption data at initial sorbate concentration 4 µg ml-1 and pH=6 for metolachlor and, 2,4-D each one alone at
                                            different surfactant concentration.

                         Metolachlor at      different    Surfactant
                         Concentration                                 2,4-D at different Surfactant Concentration
       Agitation
       Time (h)          0.1cmc        cmc        20cmc                0.1cmc          cmc          20cmc

       0.5               15.99         19.55      21.66                12.56           16.43        18.87

       1                 19.11         30.78      36.25                16.32           27.45        33.31

       2                 26.65         40.23      43.27                23.32           37.13        40.67

       3                 37.68         46.74      47.34                34.22           43.11        44.87

       4                 40.43         48.86      50.22                37.34           44.23        47.89

       6                 41.56         50.44      51.46                38.17           47.55        48.43

       24                41.65         50.89      51.85                38.74           47.74        48.89




             a-




                                                             65
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils




           b-



Fig. 1: Fitted Ferundlich model for co-application of metolachlor/atrazine (a) adsorption (b) desorption isotherm in the
             presence of nonionic surfactant on selected soil samples (♦ S1, ■ S2, ▲ S3, x S4, * S5, ●S6).




           a-




                                                          66
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils




          b-



Fig. 2: Fitted Ferundlich model for metolachlor alone in presence of nonionic surfactant (a) adsorption (b) desorption
                          isotherm selected soil samples (♦ S1, ■ S2, ▲ S3, x S4, * S5, ●S6).




          a-




                                                         67
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils




            b-

Fig. 3: Fitted Ferundlich model for co-application of 2,4-D/propanile (a) adsorption (b) desorption isotherm in the
presence of nonionic surfactant on selected soil samples (♦ S 1, ■ S2, ▲ S3, x S4, * S5, ●S6).




            a-




                                                           68
Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils




         b-

Fig. 4: Fitted Ferundlich model for 2,4-D alone in the presence of nonionic surfactant (a) adsorption (b) desorption
                      isotherm on selected soil samples (♦ S1, ■ S2, ▲ S3, x S4, * S5, ●S6).




                                                        69

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  • 1. International Journal of Engineering Research and Development ISSN: 2278-067X, Volume 1, Issue 2 (May 2012), PP.55-69 www.ijerd.com Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils Rounak M. Shariff Department of Chemistry, College of Science / University of Salahaddine-Erbile, Kurdistan Region, Iraq Abstract––This work aim is to study the effect of different co-pesticides as Atrazine and propanil on adsorption processes on agricultural soil samples. The co-pesticides as Atrazine on adsorption behavior of metolachlor [ 2-chloro-N- (2-ethyl- 6-methylphenyl)-N-(2-methoxy-1-methylethyl) acetamide)] which is nonionic herbicide, and propanil on adsorption behavior of 2,4-D (2,4- dichlorophenoxyacetic acid) as anionic herbicide have been preformed, using batch equilibrium experiments on six agricultural soil samples. Linear and Freundlich models were used to describe the competitive sorption between the pair herbicides. Variation in adsorption affinities of the soils to the pesticides was observed. Freundlich coefficient KF values for adsorption process varied between 0.079 - 2.282 mlg-1 and 0.058- 0.720 mlg-1 for metolachlor/atrazine and 2, 4-D/propanil respectively. The sorption strength of the herbicides decreased with increasing solution concentration. A nonionic surfactant was tested for its desorption potential and was found to be fairly effective at critical micelles concentration cmc concentration with removal of more than 65% sorbed pair competitive herbicides. Freundlich coefficient for desorption process KFdes for desorption process varied between 0.209- 0.523 and 0.926- 1.296 mlg-1 for metolachlor/atrazine and 2,4-D/propanil respectively. To investigate the effect of adsorption-desorption in the presence of cmc concentration of the nonionic surfactant for each pesticide alone also performed by using batch equilibrium experiments on six agricultural soil samples. The Freundlich coefficient KF in the presence of the nonionic surfactant for metolachlor and 2,4-D ranged between 0.337-0.437 and 0.001-1.012 mlg-1 for adsorption processes. The Freundlich coefficient KFdes values for desorption process in presence of the nonionic surfactant ranged from 0.209 to 0.689 mlg-1 and 0.238 to 1.442 mlg-1 for metolachlor and 2,4-D respectively. Keywords––Atrazine, 2, 4-D, HPLC, Metalachlor Propanil. I. INTRODUCTION Co-application of herbicides to soil created competitive sorption between the two herbicide producing smaller partition coefficients than for separate each herbicide. The herbicides co-application on agricultural fields has the potential to increase the mobility of these herbicides in soil, thereby also increasing the risk for groundwater concentration [1&2]. Contamination of these compounds with soil and drinking water has been generally recognized as dangerous [3]. Two major factors known to influence sorption of pesticides are soil properties and molecular characteristics. Sorption of neutral organic pesticides, as atrazine depends primarily on soil organic carbon (OC) content [4]. Sorption determines whether the pesticide will persist, be transported, and pollute the underlying ground water [5]. Strongly adsorbed and persistent pesticides that have large (Koc) values are likely to remain near the soil surface. In contrast, weakly adsorbed but persistent pesticides (small Koc) may be readily leached through the soil and more likely to contaminate ground water [6]. Kinetic data, which are measured infrequently, have the advantage of taking into account possible time-dependent reactions for adsorption, release, or desorption. Non-equilibrium conditions may be caused by the heterogeneity of sorption sites and slow diffusion to sites within the soil matrix, or organic matter [7]. Batch equilibrium experiments and Freundlich values are usually obtained for such competes for sorption sites in soil [8]. The selected herbicides co- application atrazine [9&10] and metolachlor [11] to soil. Each herbicides were persistence in the soil, its soluble in water, and poorly bound to most soils so it leaching down towards the ground water. The two nonionic herbicides were essentially slightly decreased and desorption amount increase little. Propanil [10&12] and 2, 4-D [11] herbicides co- application to soil. The effects of propanil on the sorption of anionic herbicides are possibly caused by the enhancement of electrostatic repulsion by pre-sorbed anionic herbicide/propanil and competition for sorption on interior sorption sites of soil particles which probably leads to small smaller partition coefficients. Employing of surfactant as batch washing techniques is an ex-situ process in which the contaminated soil is first excavated [13], which cause higher desorption for the herbicides. II. MATERIALS AND METHODS 2.1 SOLIS Fresh soil samples were taken from six soil samples were collected from six main agricultural, representing a range of physico-chemical properties. Subsamples of homogenized soils were analyzed for moisture content, organic matter content, particle size distribution, texture, pH, loss on ignition and exchangeable basic cations the detail were characterized in previous article[14]. 55
  • 2. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils 2.2 MATERIALS Analytical grad substituted with following purities expressed in weight percent Metolachlor (purity 97.8%), and 2, 4-D (purity 98%) atrazine (purity 99.2%), propanil (purity 99.7%) respectively. Were all purchased from Riedal-de Haen, Sigma-Aldrich company ltd. A nonionic surfactant TritonX-100 (TX-100), its chemical name is [Octylphenol ethoxcylate] surfactant, its Empirical formula is (C 8H17C6H4O(CH2CH2O)NH); where N=9.5, its molecular weight is 625 g mol-1, and its critical micelles concentration cmc concentration 0.0002M was obtained from Fluka AG, Buchs SG, and were used without further treatments. All chemicals used were of analytical grade reagents and used without pre- treatments. Standard stock solutions of the pesticides were prepared in deionised water. 2.3 ADSORPTION-DESORPTION EXPERIMENTS Adsorption of the pesticides from aqueous solution was determined at temperature (25±1 C˚) employing a standard batch equilibrium method. Duplicate air-dried soil samples were equilibrated with different pesticide concentrations (1, 2, 4 and 8 µg ml -1) were for metolachlor/Atrazine 2,4-D/propanil, which the ratio of each pair were 1:1. The samples plus blanks (no pesticide) and control (no soil) were thermostated and placed in shaker for 0.5, 1, 3, 6, 9, 12 and 24h for metolachlor/Atrazine and 0.5, 1, 1.5,2, 2.5, 3, 3.5, 4, 6 and 24h for 2,4-D/propanil. The tubes were centrifuged for 20 min. at 3000 rpm. One ml of the clear supernatant was removed and analyzed for the pesticide concentration. Pesticide identification was done by PerkinElmer series 200 USA family high performance liquid chromatography (HPLC) for each pesticide concentration. The detailed information about the soil characteristics and their sorption process has been reported in previous work [11]. Desorption processes were done as each test tube was placed in a thermostated shaker at (25±1 C˚) after equilibration for sufficient time as mentioned above with different pesticide concentrations (1, 2, 4 and 8 µg ml-1) the samples were centrifuged, 5ml of supernatant was removed from the adsorption equilibrium solution and immediately replaced by 5ml of a nonionic surfactant at cmc concentration and this repeated for four times [15]. Adsorption-desorption of two pesticides each alone done in presence of nonionic surfactant at cmc concentration as mentioned above [16]. The resuspended samples were shaken for mentioned time previously for the kinetic study for each pesticide. III. DATA ANALYSIS 3.1 ADSRPTION-DESORPTION ISOTHERM 3. 2.1 DISTRIBUTION COEFFICIENT The distribution coefficient (Kd) was calculated by the using the following expression [17]. C s  K d Ce (1) The distribution coefficient (Kd) was calculated by taking the ratio of adsorption concentration in soil (C s) and equilibrium concentration in solution (Ce), and averaged across all equilibrium concentration to obtain a single estimate of K d of the pesticides demonstrated in (Table 1-4) 3. 2.1 FREUNDLICH COEFFICIENT Adsorption isotherm parameters were calculated using the linearized form of Freundlich equation [17] 1 (2) log Cs  log K F  log Ce n Cs and Ce were defined previously, KF is Freundlich adsorption coefficients, and n is a linearity factor, it is also known as adsorption intensity, 1/n is the slope and logKF is the intercept of the straight line resulting from the plot of logC s versus logCe as shown in fig 1-4 . The values of KF and 1/n calculated from this regression equation showed that Freundlich adsorption model effectively describes isotherms for the pesticides in all cases. Desorption isotherms of the pesticides were fitted to the linearzed form of the Freundlich equation [18]. 1 log C s  log K Fdes  log Ce (3) ndes Where Cs is the amount of pesticides still adsorbed (μg g-1), Ce is the equilibrium concentration of pesticides in solution after desorption (μg mL-1), and KFdes (μg g1-nfdes /mlnfdes g-1) and nfdes are two characteristic constants of the pesticides desorption [19]. The value of the KFdes and nfdes constants of the pesticides demonstrated in (Table1-4). 56
  • 3. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils 3. 3 HYSTERESIS COEFFICIENT A study of the pesticides desorption isotherms show positive hysteresis coefficients H 1 on the six selected soil samples. Hysteresis coefficients (H1) can be determined by using the following equation [18]. na H1  (4) ndes Where na and ndes are Ferundlich adsorption and desorption constants, respectively, indicating the greater or lesser irreversibility of adsorption in all samples, the highest values corresponding for which the highest adsorption constant was obtained. The coefficient H1 is a simple one and easy to use, Data in table 5&6 demonstrated H 1 values for metolachlor, and 2, 4-D respectively. The extent of hysteresis was quantified by using hysteresis coefficient (ω), it was defined on the discrepancy between the sorption and desorption isotherms, and calculated by using Freundlich parameters estimated from sorption and desorption isotherms separately, (ω) expressed as [20]. na  (  1) x100 (5) ndes Recently Zhu et. al [21] proposed an alternative hysteresis coefficient )λ( based on the difference in the areas between adsorption and desorption isotherms, they derived the following expression for the parameter λ for the traditional isotherms. na  1 (6)  (  1) x100 ndes  1 3. 4 ORGANIC MATTER NORMALIZED ADSORPTION COEFFICIENT The linear or distribution coefficient (Kd) is related to soil organic carbon (OC) and soil organic matter (OM) by the following equations [22]. %OM %OC  (7) 1.724 100K d (8) K OM  %OM 100K d K OC  (9) %OC IV. RESULTS AND DISCUSSION The Kd values for adsorption process for metolachlor/atrazine varied between 1.384 - 2.832 mlg-1 while the regression coefficient R2 value ranging from 0.705 to 0.895 with standard error S.E. value between 0.012 – 0.096. The Kd values for adsorption process for 2,4-D/propanil varied between 2.209- 5.542 mlg-1, while the value of R2 ranging from 0.704 to 0.783 with standard error S.E. value between 0.019 – 0.058, the regression equations relating that the highest values are the most fitted model. The competitive effect of pair pesticides sorption by soil generally decreased with increasing initial herbicide concentrations because of the saturation of sorption sites in soil, our results agreed with research [2].The each two pair pesticides are widely used for pest control in agricultural crops[23&24]. The desorption experiments were conducted with a nonionic surfactant TritonX-100 at concentration 0.1cmc, cmc and 20cmc on metolachlor and 2,4-D sorbed soil corresponding to initial concentration 4 μg mL-1 the comparative results shown in table 7, present that the degree of desorption of each pesticides from soil into surfactant solution was 46 % for 0.1cmc concentration; 65% for cmc concentration and 68% for 20cmc concentration. The cmc concentration gave the best results as there was only a normal increase in desorption at the concentration of 3%. So the used surfactant 57
  • 4. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils solution is therefore fairly effective in desorption of metolachlor and 2, 4-D from the contaminated soil. The dynamics are believed to be highly related to the adsorption of the four herbicides used, could be partially explained by the unoccupied sites in each soil more by the total sorption capacity [25]. Although results of the research showing an important role to the organic matter in the adsorption process[26]. Another explanation of the mechanism for adsorption process was the formation of adducts between the pair herbicide used and the and the constituent of the soil [27]. The Kd values for desorption process in the presence of cmc concentration of the surfactant varied between for metolachlor/atrazine 3.498- 14.43 mlg-1 while the value of R2 ranging from 0.726 to 0.957 with standard error S.E. value between 0.016 – 0.090. The Kd values for desorption process in the presence of cmc concentration of the surfactant for 2,4-D/propanil varied between 18.25- 52.46 mlg-1 while the value of R2 ranging from 0.763 to 0.996 with standard error S.E. value between 0.005 – 0.091. The Ferundlich nonlinear sorption isotherm showed a good fit to the measured data for all soil samples for metolachlor/atrazine and 2,4-D/propanil. The KF values for adsorption process for metolachlor/atrazine varied between 0.079 - 2.282 mlg-1 , the R2 value ranging from 0.758 to 0.889 with S.E. 0.032- 0.039 and the value of the nonlinearity reneging between nF 1.515-2.392. The KF values for adsorption process for2,4- D/propanil 0.058- 0.720 mlg-1, the R2 value ranging from 0.799 to 0.987 with S.E. 0.032-0.038 and the value of the nonlinearity reneging between nF 0.543-2.198. The values of KF less for the two pair as the two pesticides were used alone. Freundlich coefficient for desorption process KFdes for metolachlor/atrazine in the presence of cmc concentration of the surfactant varied between 0.209- 0.523 mlg-1 the R2 value ranging from 0.770 to 0.941 with S.E. 0.044-0.054, the values of nFdes 1.209-3.968. The KFdes for 2, 4-D/propanil in the presence of cmc concentration of the surfactant between 0.926- 1.296 mlg-1 the R2 value ranging from 0.725 to 0.996 with S.E. 0.068-0.083, values of nFdes 0.588-1.342. The Kd values for adsorption process in the presence of cmc concentration of the surfactant varied between for metolachlor 1.000- 1.226 mlg-1 while the value of R2 ranging from 0.703 to 0.901 with standard error S.E. value between 0.154 – 0.252. The Kd values for adsorption process in the presence of cmc concentration of the surfactant for 2,4-D varied between 1.332- 3.712 mlg-1 while the value of R 2 ranging from 0.693 to 0.965 with standard error S.E. value between 0.025 – 0.068. The Kd values for desorption process in the presence of cmc concentration of the surfactant varied between for metolachlor 4.431- 13.01 mlg-1 while the value of R 2 ranging from 0.768 to 0.957 with standard error S.E. value between 0.010 – 0.031. The Kd values for desorption process in the presence of cmc concentration of the surfactant for 2,4-D varied between 1.081- 57.48 mlg-1 while the value of R2 ranging from 0.707 to 0.965 with standard error S.E. value between 0.023 – 0.086. The KF values for adsorption process in the presence of cmc concentration of the surfactant for metolachlor varied between 0.337 - 0.437 mlg-1 , the R2 value ranging from 0.752 to 0.880 with S.E. 0.041-0.049 and the value of the nonlinearity reneging between nF 1.600-2.387. The KF values for adsorption process in the presence of cmc concentration of the surfactant for 2, 4-D 0.001- 1.012 mlg-1, the R2 value ranging from 0.849 to 0.992 with S.E. 0.0324- 0.039 and the value of the nonlinearity reneging between n F 0.808-2.028. Freundlich coefficient for desorption process KFdes for metolachlor in the presence of cmc concentration of the surfactant varied between 0.209- 0.689 mlg-1 the R2 value ranging from 0.776 to 0.998 with S.E. 0.027-0.063, the values of nFdes 0.709-1.828. The KFdes for 2, 4-D in the presence of cmc concentration of the surfactant 0.238- 1.442 mlg-1 the R2 value ranging from 0.735 to 0.976 with S.E. 0.021-0.089 ,the values of nFdes 0.888-1.486. The size of the organic is considered to play an important role in its rate of adsorption, Baily and white 1970[28]. et. al. summarized the of molecular size as follows: a)Adsorption of noneletrolytes by nonpolar adsorbents increases as molecular weights of the substances increases. b) Van der Waals forces of adsorption increases with increasing molecular size. c) Adsorption decreases because of steric hindrance. The evidence available also shows the presence of a maximum limit in molecular size in adsorption of organic compounds. Larger molecules (chain length greater than five units) may be adsorbed only in the presence of excess water. However very large molecules difficulties in adsorption due to adverse molecular configuration. The use of mixture for the each pair herbicides, This indicated that atrazine and propanil competed with the two herbicides for sorption sites in soil[29]. The differences in adsorption coefficient between samples were statistically significant, for soils with organic content for that readily sorbed propanil than the other, thereby being more competitive in soils with greater soil organic matter content. The Ferundlich slope of the isotherm was always less than unity and indicating that the affinity between the herbicides used alone and soil was greatest at initial herbicides concentrations and decreased as increasing the herbicides concentrations [30]. Data in table 5 demonstrated H1 values for metolachlor/atrazine and 2,4-D/propanil from the selected soil samples in the range from 0.615-1.751 and 0.594-2.524 respectively. The calculated values of hysteresis coefficient (ω) for adsorption-desorption of for metolachlor/atrazine and 2, 4-D/propanil on the selected soil samples ranged from -43 to - 75 and from -41 to 152 respectively. Whereas hysteresis coefficient (ω) is only applicable for the traditional type isotherms of the successive desorption [31&32]. The hysteresis coefficient (λ) for metolachlor/atrazine and 2,4-D/propanil from the selected soil samples were ranged from -10 to 148 and from 29 to 1662 respectively. The H1 values for metolachlor and 2, 4-D alone in the presence of cmc surfactant as summarized in table 6 from the selected soil samples in the range from 1.144-2.687 and 0.869-2069 respectively, indicating an increase in the irreversibility of the adsorption of herbicide as the clay content increases, and indicate the increased difficulty of the sorbed analytic to desorbed from the matrix. The calculated values of hysteresis coefficient (ω) for adsorption-desorption of for metolachlor and 2,4-D on the selected soil samples ranged from 14 to 169 and from -13 to -107 respectively. The hysteresis coefficient (λ) for metolachlor and 2, 4-D from the selected soil samples were ranged from -40 to -94 and from -6 to 1441 respectively. 58
  • 5. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils V. CONCLUSION The using of each pair of herbicides metolachlor/atrazine and 2,4-D/propanil may increase herbicides leaching to depth relative to the use of each one alone on the six agricultural soil samples. The cmc concentration gave the best results in desorption. So the used surfactant solution is therefore fairly effective in desorption of metolachlor, 2, 4-D from the contaminated soil and for each pair. VI. ACKNOWLEDGEMENTS The authors wish to thank all the chemistry staff in Salahaddin University. I express my gratitude to Assit proff Dr. Kasim. REFERENCES [1] Farenhorst A and Bowman B. T., Competitive sorption of atrazine and metolachlor in soil, Journal of Science and health, 33, 1998, 671-682. [2] Annemieke Farenhorst and Brent Prokopowich. The effect of propanil Co-application on 2,4-D sorption by soil . Journal of environmental science and health part b-pesticides, food contaminants, and agricultural wastes. 38(6), 2003, 713-721. [3] Pimentel, D., and L. Levitan, Amounts applied and amounts reaching pests, Bioscience, 36, 1986, 86-91. [4] Madhun, Y. A., V. H. Freed, J. L., and Fang, Sorption of bromacilm chlortoluron, and diuron by soils, Soil Sci. Soc. Am. J, 50, 1986, 1467-1471. [5] Rao, P. S. C. , A. G. Hornsby. 1983. Behavior of pesticides in soils and water. Soil Sci. Fact Sheet SL40. Univ. of Florida, Gainesville. [6] E. Barriuso, Ch. Feller, R.Calvet and C.Cerri. Sorption of atrazine, terbutryn and 2,4-D herbicides in two Brazilian Oxisols. Elesevier Science Pulishers B. V.,Amsterdam, 53, 1992, 155-167. [7] P. Nkedi – kizza, D. Shinde, M. R.Savabi, Y. Ouyang, and L. Nieves. Sorption kinetics and equlibria of organic pesticides in cabonatic soils from south Florida. J. Environ. Qual, 35, 2006, 268-276. [8] Hamaker J W., The Application of Mathematical Modeling to the Soil Persistence and Accumulation of Pesticides, Proc. BCPC Symposium, Persistence of Inscticide and Herbicides, 1967, 181-199. [9] Benny Chefetz, Sorption of Phenantgrene and Atrazine by Plant Cuticular fractions, Environmental Toxicology and Chemistry, 22, 2003, 2492-2498. [10] Kafia M. Shareef and Rounak M. Shariff, Adsorption of Herbicides on eight Agricultural Soils, J. of university of anbar for pure science, 3, 2009, 67-75. [11] Rounak M. Shariff. “Adsorption-Desorption of Metolachlor and 2,4-D on Agricultural Soils”. International Journal of Scientific & Engineering Research, 2, 2011, 1-8. [12] Jack R. Plimmer, Philip C. Kearney, Hideo Chisaka, Joseph B. Yount, and Ute I. Klingebiel. 1,3 - Bis (3,4-dichlorophenol) triazene from propanil in soils.J. AG, FOOD CHEM.,18( 5), 1970,859-865. [13] DiCesare, D., and J. A. Simth. 1994. Surfactant effects on desorption of nonionic compounds. Rev. Environ. Contam. Toxicol. 134:1-29. [14] M. Rounak Shariff., Compost Adsorption Desorption of Picloram in the Presence of Surfactant on Six Agricultural Soils, International Journal of Scientific & Engineering Research, 2(5), 2011,2229-5518. [15] Mohammed A Ali and Peter J. Baugh, Sorption, Desorption Studies of Six Pyerethroids and Mirex on Soils using GC/ MS - NICI , Internet. J. Environ. Anal. Chem., 83(11),2003, 923-933. [16] E. Iglesias-Jimenez, M. J. Sanchez-Martin, M.Sanchez-Camazano, Pesticide adsorption in a soil – water system in the presence of surfactants, Chemosphere, 32(9), 1996, 1771-1782. [17] OP Banasal., Kinetics of interaction of three carbamate pesticides with Indian soils: Aligrah district, Pest Manag Sci., 60, 2004, 1149-1155. [18] R. A. Griffin and J. J. Jurinak, Test of a New Model for the Kinetics of Adsorption-Desorption Processes, Soil Sci Soc. Amer. Proc., 37,1973, 869-872. [19] Zhu, H., and H. M. selim, Hysteretic of metolachlor Adsorption - desorption in soil, J. Soil. Sci Qual.,165, 2000, 632-645. [20] Cass T. Miller and Joseph A. Pedlt, Sorption-Desorption Hysteresis and A biotic Degradation of Lindane in a Surface Material, Environ. Sci. Technol, 26, 1992, 1417-1427. [21] H. M. Selim and H. Zhu, Organic Compounds in Environment Atrazine Sorption-Desorption Hysteriesis by Sugarcane Mulch Residue, J. Environ. Qual., 34, 2005, 325-335. [22] Adlophe Monkiedje and Micheal Spiteller. fungicides, mefenoxam and meta laxly, and their acid metabolite in typical Cameroonian and German soils, chemospher,49(6) 2002, 659-668. [23] T. Sismanoglu, A. Ercage, S. Pura and E. Ercage, Kinetics and isotherms of Dazomet Adsorption on Natural Adsorbents, J. Braz. Chem. Soc., 15(5), 2004, 669-675. [24] Miels Henrik Spliid, Arne Helweggcnol and Kiesten Helnrichson "Leaching and degradation of 21 pesticides inafull -scale model biobed" 2006. Interscices. [25] Thanh H. Dao, Competitive anion sorption effects on dairy wast water dissolved phosphorus extraction with zeolite-based sorbents, Food, Agriculture & Environment,3(4), 200,3263-269. [26] Marcelo Kogan, Alejandia Metz and Rodrigo Ortega. , Adsorption of glyphosate in chilecan and its relationship with unoccupied phosphaste binding sites, Pesq agropes bras .Brasili, 38(4), 2003, 513-519. [27] Baoshan Xing, Joseph J. Pingnatello, and Barbara Giglitti. Competitive sorption between atrazine and other organic compounds in soils and model sorbents . Environ. Sci. Techno, 30, 1996, 2432-2440 [28] Bailey, G. W. And J. L. White "Factors influencing the adsorption and movement of pesticides in soils "Springs New York .1970. vol 30 : 29-92. [29] Daniel Said- Pullicino, Giovanni Gigliotti, and Alfred J. Vella, Environmental of triasulfuran in soils Amended with municipal waste compost, J. Environ. Qual. ,33, 2004, 1743-1751. [30] Elsayed A. Elkhatib, A. M. Mahdy and N. H. Bbrakat, Thermodynamics of copper desorption from soils as affected by citrate and succinate, Soil & water Res., 2 ,(4), 2007,135-140. 59
  • 6. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils [31] Cludio A. Spadotto and Arthur G. Hornsby, organic compounds in the environment soil sorption of acidic pesticides: modeling pH effects, Environ Qual. 32, 2003, 949-956. Table 1: Adsorption of the co-application metolachlor/atrazine and their desorption in the presence of TritonX-100 at cmc concentration, the linear and Freundlich models isotherm parameters on the selected soil samples. Ads-des Models Parameter Soils S1 S2 S3 S4 S5 S6 Ads.Distr. coffi. Kd (calc) 2.832 1.618 1.599 1.384 1.870 1.956 S.E 0.075 0.072 0.096 0.012 0.075 0.095 R2 0.705 0.821 0.794 0.890 0.893 0.755 KOC(mL/g) 101 156 50 59 98 130 KOM(mL/g) 1.744 2.685 0.863 1.013 1.684 2.235 Freundlich (ads) KF(mL/g) 0.079 0.199 0.233 0.282 0.155 0.218 S.E 0.034 0.037 0.038 0.039 0.032 0.035 nF 2.392 1.515 1.761 1.789 1.563 2.257 R2 0.864 0.835 0.810 0.889 0.776 0.758 Kd (calc) 4.158 8.386 3.498 14.43 6.116 4.366 Des.Distr. coffi. S.E 0.019 0.027 0.023 0.016 0.090 0.024 R2 0.940 0.780 0.957 0.780 0.759 0.726 KFdes(mL/g) 0.244 0.461 0.209 0.464 0.523 0.252 Freundlich(des) S.E 0.044 0.046 0.045 0.054 0.051 0.047 nF 1.366 2.463 1.178 2.463 1.209 3.968 R2 0.941 0.838 0.906 0.838 0.913 0.770 60
  • 7. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils Table 2: Adsorption of metolachlor alone and it’s desorption in the presence of TritonX-100 at cmc concentration, the linear and Freundlich models isotherm parameters on the selected soil samples. Ads-des Models Parameter Soils S1 S2 S3 S4 S5 S6 Ads.Distr. coffi. Kd (calc) 1.142 1.160 1.099 1.000 1.226 1.014 S.E 0.252 0.127 0.122 0.242 0.154 0.250 R2 0.741 0.800 0.901 0.703 0.777 0.721 KOC(mL/g) 40.8 112 34 42 64 67 KOM(mL/) 0.703 1.924 0.593 0.732 1.104 1.158 Freundlich (ads) KF(mL/g) 0.385 0.340 0.348 0.419 0.337 0.437 S.E 0.045 0.042 0.041 0.045 0.043 0.049 nF 2.092 1.718 1.600 2.387 1.905 2.325 R2 0.771 0.880 0.879 0.856 0.854 0.752 Des.Distr. coffi Kd (calc) 11.11 13.01 4.431 7.109 8.069 12.17 S.E 0.016 0.017 0.031 0.027 0.012 0.010 R2 0.868 0.768 0.859 0.781 0.957 0.811 Freundlich(des) KFdes(mL/g) 0.658 0.659 0.209 0.488 0.614 0.689 S.E 0.057 0.063 0.044 0.027 0.062 0.061 nF 1.828 0.987 1.178 2.049 0.709 1.451 R2 0.981 0.803 0.906 0.776 0.998 0.856 61
  • 8. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils Table 3: Adsorption of the co-application of 2,4-D/propanil and their desorption in the presence of TritonX-100 at cmc concentration, the linear and Freundlich models isotherm parameters on the selected soil samples. Ads-des Models Parameter Soils S1 S2 S3 S4 S5 S6 Ads.Distr. coffi. Kd (calc) 2.678 3.362 2.209 5.542 4.565 3.519 S.E 0.058 0.019 0.064 0.029 0.035 0.033 R2 0.704 0.783 0.771 0.742 0.728 0.737 KOC(mL/g) 96 324 69 235 238 233 KOM(mL/g) 1.649 5.578 1.191 4.055 4.112 4.020 Freundlich (ads) KF(mL/g) 0.720 0.100 0.135 0.203 0.122 0.058 S.E 0.034 0.035 0.033 0.038 0.036 0.037 nF 0.543 1.484 1.988 2.151 2.198 1.795 R2 0.799 0.987 0.920 0.872 0.935 0.806 Kd (calc) 18.25 30.15 27.56 28.04 52.46 21.56 coffi. Des.Distr. S.E 0.091 0.074 0.033 0.005 0.027 0.035 R2 0.835 0.838 0.912 0.996 0.763 0.828 Freundlich(des) KFdes(mL/g) 0.926 1.296 1.096 1.131 1.291 1.022 S.E 0.068 0.079 0.074 0.073 0.083 0.069 nF 0.914 0.588 1.114 1.043 1.342 0.968 R2 0.782 0.932 0.891 0.996 0.725 0.897 62
  • 9. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils Table 4: Adsorption of 2,4-D alone and its desorption in the presence of TritonX-100 at cmc concentration, the linear and Freundlich models isotherm parameters on the selected soil samples. Ads-des Models Parameter Soils S1 S2 S3 S4 S5 S6 Ads.Distr. coffi. Kd (calc) 1.332 1.801 1.401 3.712 3.037 2.212 S.E 0.068 0.025 0.067 0.042 0.041 0.033 R2 0.965 0.791 0.977 0.693 0.825 0.703 KOC(mL/g) 48 173 44 158 159 147 KOM(mL/g) 0.820 2.988 0.756 2.716 2.736 2.527 Freundlich (ads) KF(mL/g) 0.253 1.012 0.266 0.059 0.001 0.110 S.E 0.038 0.036 0.037 0.039 0.035 0.034 nF 1.420 0.808 1.678 2.028 1.838 1.773 R2 0.930 0.977 0.992 0.905 0.849 0.922 Kd (calc) 1.081 21.27 13.54 16.77 57.48 27.954 Des.Distr. coffi. S.E 0.056 0.029 0.060 0.086 0.028 0.023 R2 0.965 0.932 0.888 0.707 0.838 0.802 Freundlich(des) KFdes(mL/g) 0.238 1.031 0.754 0.784 1.442 1.064 S.E 0.038 0.067 0.021 0.026 0.089 0.071 nFdes 1.443 0.929 1.504 1.486 0.888 1.340 R2 0.976 0.927 0.999 0.735 0.796 0.932 63
  • 10. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils Table 5: Hysteresis effect for the co-application of each pair metolachlor/atrazine, and 2,4-D/propanil on the selected soil samples. Soil Metolachlor /atrazine 2,4-D/propanil H1 ω λ H1 ω λ S1 1.751 75 184 0.594 -41 29 S2 0.615 -39 109 2.524 152 1196 S3 1.495 49 -10 1.785 79 712 S4 0.726 -27 63 2.062 106 457 S5 1.293 29 237 1.638 64 958 S6 0.569 -43 16 1.854 85 1662 Table 6:Hysteresis effect for metolachlor and, 2,4-D each one alone on the selected soil samples. Soil metolachlor 2,4-D H1 ω λ H1 ω λ S1 1.144 14 71 0.984 -2 -6 S2 1.740 74 94 0.869 -13 2 S3 1.358 36 - 40 1.116 12 183 S4 1.164 16 16 1.365 37 1228 S5 2.687 169 82 2.069 107 1441 S6 1.602 60 58 1.323 32 867 64
  • 11. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils Table 7:Desorption data at initial sorbate concentration 4 µg ml-1 and pH=6 for metolachlor and, 2,4-D each one alone at different surfactant concentration. Metolachlor at different Surfactant Concentration 2,4-D at different Surfactant Concentration Agitation Time (h) 0.1cmc cmc 20cmc 0.1cmc cmc 20cmc 0.5 15.99 19.55 21.66 12.56 16.43 18.87 1 19.11 30.78 36.25 16.32 27.45 33.31 2 26.65 40.23 43.27 23.32 37.13 40.67 3 37.68 46.74 47.34 34.22 43.11 44.87 4 40.43 48.86 50.22 37.34 44.23 47.89 6 41.56 50.44 51.46 38.17 47.55 48.43 24 41.65 50.89 51.85 38.74 47.74 48.89 a- 65
  • 12. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils b- Fig. 1: Fitted Ferundlich model for co-application of metolachlor/atrazine (a) adsorption (b) desorption isotherm in the presence of nonionic surfactant on selected soil samples (♦ S1, ■ S2, ▲ S3, x S4, * S5, ●S6). a- 66
  • 13. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils b- Fig. 2: Fitted Ferundlich model for metolachlor alone in presence of nonionic surfactant (a) adsorption (b) desorption isotherm selected soil samples (♦ S1, ■ S2, ▲ S3, x S4, * S5, ●S6). a- 67
  • 14. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils b- Fig. 3: Fitted Ferundlich model for co-application of 2,4-D/propanile (a) adsorption (b) desorption isotherm in the presence of nonionic surfactant on selected soil samples (♦ S 1, ■ S2, ▲ S3, x S4, * S5, ●S6). a- 68
  • 15. Effect of Co-pesticide on Adsorption- Desorption Process on Agricultural Soils b- Fig. 4: Fitted Ferundlich model for 2,4-D alone in the presence of nonionic surfactant (a) adsorption (b) desorption isotherm on selected soil samples (♦ S1, ■ S2, ▲ S3, x S4, * S5, ●S6). 69