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The use of a hand-held mid-infrared spectrometer for the
rapid prediction of total petroleum hydrocarbons in soil
Water for a Healthy Country Flagship
Les J. Janik, José M. Soriano-Disla, Sean T. Forrester, Michael J. McLaughlin,
Grant Webster, Richard Stewart
05 December 2013 Infrared workshop, FAO Headquarters (Rome)
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
1. Background
2 |
Complex mixture of aliphatic hydrocarbon chains (C10-
C36) derived from crude oil
Major environmental pollutant: spills from production,
storage and distribution
Impacts: soil, sediment, water, biology and humans
Risk assessment and remediation needs to be quick and
is expensive
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
TPH Background
3 |
Traditional approaches
Laboratory: Supercritical fluid extraction followed by silica clean-up
and gas-chromatography with flame ionization detector (GC-FID)
Field: IR method (ATR) which requires extraction prior measurement
We need a reliable, quick, cheap and “in situ” technique
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
TPH traditional analysis
4 |
We propose diffuse reflectance mid-infrared spectroscopy together with
partial least squares as an alternative for the “in situ” prediction of TPH (C10-
C36)
Advantages
Rapid
No sample pretreatment
In situ
Multiple analytes prediction
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
DRIFT-PLSR as an alternative
5 |
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
Our hand-held spectrometer
6 |
Full FT-IR Hand-held (Agilent)
6000-650 cm-1
15 s scan and 8 cm-1 resolution
~3 kg
Blue-tooth PDA with PLS software
Battery
Mid-infrared sensitive to C-H bonds
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
TPH peaks
7 |
NIR MIR
NIR (5000-4000 cm-1) and MIR (4000-1200 cm-1) spectra of
liquid diesel, crude oil and n-hexane
Forrester et al. 2013 (SSSAJ 77, 450-460)
~2730 cm-1 (-CH3)
-CH3
0
0.1
0.2
0.3
0.4
260028003000
Absorbance
Wavenumbers
Diesel
SOM
Diesel in clay,
and soil organic
matter spectra
-CH2
~2950 cm-1 (-CH3) -CH2
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
The PLSR model
8 |
4540-4120 3000-2600
PCs R2 RMSE RPD PCs R2 RMSE RPD
9 0.84 853 2.4 7 0.92 601 3.4
Selection of optimal spectral range and PLSR development in Forrester et al.
2013 (SSSAJ 77, 450-460)
n = 199 TPH contaminated soils from Australia (0-15,000 mg/kg)
Air-dried
Partial least squares and trained by cross-validation
(2960, 2930, 2850, 2730)(4330, 4260)
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
Commercialisation of the technique
9 |
2008-2009: collaboration project with Ziltek Pty Ltd (South
Australia)
2012: Method patented in Australia
2013: method patented in USA
2013: Ziltek Pty Ltd. releases the technology as REMSCAN
2013: Publication in SSSAJ describing the patented method
(Forrester et al., 2013)
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
Challenges
10 |
Presence of moisture: leave the
sample drying, software cut-off
Soil heterogeneity: repeated scans,
mixing the sample
Sample entering into the cone
nose: instrument squared to the
surface and sample tamped flat
10002000300040005000
Wavenumber (cm-1)
Absorbance
TPH
Moist sample
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
Challenges
11 |
Soil type (TPH spread in sandy soils vs “shielding” effect in clay soils): site
specific or local models. Local models:
Spectral library divided in clusters linked to textural classes
Unknown spectra allocated to the correspondent model
Within each model, 5 TPH range concentrations models: final model
dependent on the TPH value predicted
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
2. Examples of field uses
12 |
Diesel leaked from a storage
facility and captured in an
emergency bund area
Site specific calibration to quantify
diesel in the bund area and
monitor remediation works
Remediation work completed in 4
days (200 samples/day)
19 ´blind´ samples sent for
analysis
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
Case study 1: Western Australia
13 |
R2 = 0.997
Ageing power transformer removed. Oil contamination in the footings
RemScan “guided” the remediation work: pit declared “clean” < 1000 mg/kg
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
Case study 2: South Australia
14 |
Samples from from walls and floor sent to reference laboratory
Reference analysis confirmed TPH predictions
R2 = 0.994
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
Case study 3: South Australia
15 |
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
Final remarks
16 |
DRIFT-PLSR using a hand-held spectrometer is suitable technique for the
rapid, cheap and accurate prediction of TPH
RemScan commercialy used
On-going work
Inclusion of new soils in the global calibrations
Inclusion of additional contaminants
• Government of Valencia (Conselleria de Educación) for a Post-
Doctoral Fellowship
• University of Adelaide
• Ziltek Pty Ltd.
The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al.
Acknowledgements
17 |
Thank you
Sustainable Agriculture Flagship
CSIRO Land and Water (Sustainable Agriculture Flagship)
Jose Martin Soriano Disla (PhD)
t +61883038425
e jose.sorianodisla@csiro.au
w www.clw.csiro.au

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The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil Water for a Healthy Country Flagship

  • 1. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil Water for a Healthy Country Flagship Les J. Janik, José M. Soriano-Disla, Sean T. Forrester, Michael J. McLaughlin, Grant Webster, Richard Stewart 05 December 2013 Infrared workshop, FAO Headquarters (Rome)
  • 2. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. 1. Background 2 |
  • 3. Complex mixture of aliphatic hydrocarbon chains (C10- C36) derived from crude oil Major environmental pollutant: spills from production, storage and distribution Impacts: soil, sediment, water, biology and humans Risk assessment and remediation needs to be quick and is expensive The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. TPH Background 3 |
  • 4. Traditional approaches Laboratory: Supercritical fluid extraction followed by silica clean-up and gas-chromatography with flame ionization detector (GC-FID) Field: IR method (ATR) which requires extraction prior measurement We need a reliable, quick, cheap and “in situ” technique The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. TPH traditional analysis 4 |
  • 5. We propose diffuse reflectance mid-infrared spectroscopy together with partial least squares as an alternative for the “in situ” prediction of TPH (C10- C36) Advantages Rapid No sample pretreatment In situ Multiple analytes prediction The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. DRIFT-PLSR as an alternative 5 |
  • 6. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. Our hand-held spectrometer 6 | Full FT-IR Hand-held (Agilent) 6000-650 cm-1 15 s scan and 8 cm-1 resolution ~3 kg Blue-tooth PDA with PLS software Battery
  • 7. Mid-infrared sensitive to C-H bonds The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. TPH peaks 7 | NIR MIR NIR (5000-4000 cm-1) and MIR (4000-1200 cm-1) spectra of liquid diesel, crude oil and n-hexane Forrester et al. 2013 (SSSAJ 77, 450-460) ~2730 cm-1 (-CH3) -CH3 0 0.1 0.2 0.3 0.4 260028003000 Absorbance Wavenumbers Diesel SOM Diesel in clay, and soil organic matter spectra -CH2 ~2950 cm-1 (-CH3) -CH2
  • 8. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. The PLSR model 8 | 4540-4120 3000-2600 PCs R2 RMSE RPD PCs R2 RMSE RPD 9 0.84 853 2.4 7 0.92 601 3.4 Selection of optimal spectral range and PLSR development in Forrester et al. 2013 (SSSAJ 77, 450-460) n = 199 TPH contaminated soils from Australia (0-15,000 mg/kg) Air-dried Partial least squares and trained by cross-validation (2960, 2930, 2850, 2730)(4330, 4260)
  • 9. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. Commercialisation of the technique 9 | 2008-2009: collaboration project with Ziltek Pty Ltd (South Australia) 2012: Method patented in Australia 2013: method patented in USA 2013: Ziltek Pty Ltd. releases the technology as REMSCAN 2013: Publication in SSSAJ describing the patented method (Forrester et al., 2013)
  • 10. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. Challenges 10 | Presence of moisture: leave the sample drying, software cut-off Soil heterogeneity: repeated scans, mixing the sample Sample entering into the cone nose: instrument squared to the surface and sample tamped flat 10002000300040005000 Wavenumber (cm-1) Absorbance TPH Moist sample
  • 11. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. Challenges 11 | Soil type (TPH spread in sandy soils vs “shielding” effect in clay soils): site specific or local models. Local models: Spectral library divided in clusters linked to textural classes Unknown spectra allocated to the correspondent model Within each model, 5 TPH range concentrations models: final model dependent on the TPH value predicted
  • 12. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. 2. Examples of field uses 12 |
  • 13. Diesel leaked from a storage facility and captured in an emergency bund area Site specific calibration to quantify diesel in the bund area and monitor remediation works Remediation work completed in 4 days (200 samples/day) 19 ´blind´ samples sent for analysis The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. Case study 1: Western Australia 13 | R2 = 0.997
  • 14. Ageing power transformer removed. Oil contamination in the footings RemScan “guided” the remediation work: pit declared “clean” < 1000 mg/kg The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. Case study 2: South Australia 14 | Samples from from walls and floor sent to reference laboratory Reference analysis confirmed TPH predictions R2 = 0.994
  • 15. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. Case study 3: South Australia 15 |
  • 16. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. Final remarks 16 | DRIFT-PLSR using a hand-held spectrometer is suitable technique for the rapid, cheap and accurate prediction of TPH RemScan commercialy used On-going work Inclusion of new soils in the global calibrations Inclusion of additional contaminants
  • 17. • Government of Valencia (Conselleria de Educación) for a Post- Doctoral Fellowship • University of Adelaide • Ziltek Pty Ltd. The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil | Janik et al. Acknowledgements 17 |
  • 18. Thank you Sustainable Agriculture Flagship CSIRO Land and Water (Sustainable Agriculture Flagship) Jose Martin Soriano Disla (PhD) t +61883038425 e jose.sorianodisla@csiro.au w www.clw.csiro.au