SlideShare a Scribd company logo
1 of 23
Derivative Spectroscopy
&
Applications of UV-
Visible Spectroscopy
UNDER THE GUIDANCE OF:
Dr. A. Sreedevi
M.Pharm., Ph.D.
Department of Pharmaceutics
SUBMITTED BY:
Nayeema Khowser Shaik
M.Pharmacy Ist year
2020MPH40A029
Contents  Introduction
 Objectives
 Measurement techniques
 Derivative Spectra
 Signal-to-noise ratio
 Instrumentation
 Advantages and disadvantages
 Applications of Derivative Spectroscopy
 Applications of UV-Visible Spectroscopy
 References
Department of Pharmaceutics, SPMVV 2
INTRODUCTION
 Derivative UV-spectrophotometry an analytical technique of enormous implication
commonly in obtaining mutually qualitative and quantitative in order from spectra
that are of unresolved bands, with respect to qualitative and quantitative analysis, it
uses first or higher derivatives of absorbance in accordance with wavelength.
 This operation allows to remove spectral interferences and as a consequence leads to
increase selectivity of assay.
 It was originally brought in 1950s with its applicability in a lot of features, but because
of its complication in producing derivative spectra via UV-Visible spectroscopy the
method found less practice.
 It is presently available with software's controlling modern spectrophotometers.
Department of Pharmaceutics, SPMVV 3
OBJECTIVES
Department of Pharmaceutics, SPMVV
It is a spectroscopic technique that differentiates spectra. The objective with which derivative
methods used in analytical chemistry are:
 Spectral differentiation-
As a qualitative method that distinguish small variation between almost similar spectra’s.
 Spectral resolution enhancement-
Overlapping spectral bands gets resolved to simply estimation the number of bands and their
wavelengths.
 Quantitative analysis-
It facilitates multicomponent analysis and corrects the irrelevant background absorption. Derivative
spectroscopy method forms the beginning of differentiation or resolution of overlapping bands; the vital
characteristics of derivative process are that broad bands are suppressed relative to sharp bands.
4
MEASUREMENT TECHNIQUES
Department of Pharmaceutics, SPMVV
Measurement of derivative spectra value is achieved out by the following three methods:
1. Graphic measurement-
Graphic measurement is theoretical method to calculate the derivative spectra on paper, its
manual method it suffer from disadvantage that it gives inaccurate results because the value can
determined numerically can be abolish or diminish beyond restriction.
2. Numeric measurement-
The method uses set of points where derivative values is carried out by estimating the derivative
value at a given wavelength. It gives derivatives by spectral differentiation using suitable
numerical algorithm.
3. Zero crossing technique-
The method measures the derivative spectra at a particular wavelength, where the derivative
crosses the point at zero line. Interference of one component in determination of other component
can be eliminated by zero crossing technique.
5
DERIVATIVE SPECTRA
Department of Pharmaceutics, SPMVV
 In quantitative analysis, derivative spectra enlarge
difference between spectra to resolve overlapping
bands. The digital algorithm method called as
Savitzky-Golay is most outstandingly referred for
obtaining derivative spectra.
 The degree of difficulty of derivative spectra
increases with presence of satellite peaks.
 On the basis of solvents polarity, peaks and
troughs shifts either to shorter or longer
wavelength.
6
 When spectrum is scanned at a constant rate, real
time derivative spectra can be recorded either by
achieving the time derivative of the spectrum or
by wavelength modulation.
 Wavelength modulation device is used to record the derivative spectra, where a beam of radiation
differs in wavelength by a small change (1-2 nm) and difference between the two readings is
recorded, computerized method is widely used to obtain derivative curves.
 Derivative spectra can obtain by variety of experimental techniques; the differentiation can be
done numerically even if the spectrum has been recorded digitally or in computerized readable
form.
Department of Pharmaceutics, SPMVV 7
Department of Pharmaceutics, SPMVV
The way of obtaining the derivative orders-
 Derivative spectroscopy accomplishes
conversion of a normal or zero order
spectrums to its first, second or higher
derivative spectrum.
 The normal spectra is known as
fundamental, zero order or D˚ spectra.
 Appropriate selection of derivative order
gives useful separation of overlapped
signals.
8
Department of Pharmaceutics, SPMVV
Zero order derivative spectrum
• Zero order derivative is initial step of giving further derivatives i.e.,
zeroth order spectrum can give nth order derivative. D0 spectrum i.e.
zeroth order is a representative feature of normal absorption spectrum.
• The 1st, 2nd, 3rd and 4th order derivative spectra can be obtained directly
from the zeroth order spectrum. An increase in order of derivatives
increases the sensitivity of determination.
• If a spectrum is expressed as absorbance (A) as a function of wavelength
(λ), the derivative spectra is given as,
A=f(λ)
9
Department of Pharmaceutics, SPMVV
First order derivative spectrum
• Spectra obtained by derivatizing zero order spectrum once. It is a plot of
change of absorbance with wavelength against wavelength i.e. rate of
change of the absorbance with wavelength,
dA/dλ=f’(λ)
• First order spectra passes through zero as λ max of the absorbance band.
• Absorbance band of first order derivative shows certain positive and
negative band with maxima and minima.
• By scanning the spectrum with a minimum and constant difference
between two wavelengths, dual-wavelength spectrophotometer obtains
first-derivative spectra.
• It is characterized by a maximum, a minimum and cross over point at
the λmax of the absorption band.
10
Department of Pharmaceutics, SPMVV
Second order derivative spectrum
• Derivatizing the absorbance spectrum twice gives this type of spectra.
• It is a plot of curvature of absorption spectrum against wavelength,
d2A/dλ2=f’(λ)
• Second derivative has direct relation with concentration i.e. directly
proportional. d2A/dλ2 must be large, large the ratio greater is the
sensitivity.
• The method is useful in obtaining atomic and gas molecular spectra.
Third order derivative spectrum
• Unlike second order spectrum third derivative spectrum shows disperse
function to that of original curve,
d3A/dλ3=f’''(λ)
11
Department of Pharmaceutics, SPMVV
Fourth order derivative spectrum
• Fourth order is inverted spectrum of second order and has a sharper
central peak than the original band, Narrow bands are selectively
determined by fourth derivative (UV-high pressure),
d4A/dλ4=f‘’(λ)
• Quantitatively for second or fourth order derivative curves, peak heights
are measured of long-wave peak satellite or for short-wave peak
satellite.
12
Department of Pharmaceutics, SPMVV
• In case of multicomponent analysis, the spectral differences
of assayed compounds and their selective determination
can be increased by the use of different polynomial degrees.
• Polynomial degree has a great impact on number of
polynomial points rather than on shape of derivative.
• The scope of polynomial is less; differentiation of spectra of
half-width is used by low degree polynomials and that for
spectra of small half -width by higher degree polynomials.
• Distorted derivative spectrum is a result of inappropriate
polynomial degree.
Polynomial Degree
13
NOISE-TO-SIGNAL RATIO
Department of Pharmaceutics, SPMVV
• Signal-to-noise ratio can be defined as the mean value of a signal (S) divided by the standard
deviation of the background (N).
• The noise is responsible for sharpest features in the spectrum. Signal is defined as the difference
between the largest (most positive) and the smallest (most negative) value of the derivative.
• S/N can be improved prior to derivatization if spectrophotometer would scan spectra and
average multiple spectra.
• Best signal-to-noise ratio can be obtained by taking the difference between the highest
maximum and the lowest minimum, but this leads to enhanced sensitivity to interference from
other components.
• The signal becomes impossible to see when S/N drops below 2 or 3.
• Noise of signal is expressed by standard deviation σ. Standard deviation σ0 expresses the noise
of normal spectrum of the absorbance of blank while standard deviation σn expresses nth order
derivative that can be calculated by σ0.
14
Department of Pharmaceutics, SPMVV
Smoothing of spectra-
• Increase in signal-to-noise ratio generates many worse conditions, to lessen the condition or to
decrease the high-frequency noise, technique is used viz; low-pass filtering or smoothing.
• Smoothing is an operation that is performed on spectra separately on each row of the data and
acts on adjacent variables.
• The smoothing effect depends upon two variables mainly on: (a) Frequency of smoothing and (b)
the smoothing ratio i.e. ratio of width of the smoothed peak to the number M of data points.
• With sufficient smoothing, high order derivatives can be obtained with only modest signal-to-
noise ratio degradation compared to zeroth order.
• A first derivative smoothed by one pass of an N-point sliding average smooth has the general
form,
𝟏
𝑵
(𝒂𝑵+𝟏-𝒂𝟏),
𝟏
𝑵
(𝒂𝑵+𝟐-𝒂𝟐)….
• A standard deviation of- 𝟐𝟏/𝟐
𝝈𝒐/N
15
INSTRUMENTATION
Department of Pharmaceutics, SPMVV
• Derivative spectra may be generated
by 3 techniques:
1. Modification of optical system-
• Spectrophotometers with dual
monochromators, set a small
wavelength interval (∆λ typically 1-
3nm) apart or with the facility to
oscillate wavelength over a small
range are required.
• In either case, photodetector generates a signal with an amplitude proportional
to slope of spectrum over wavelength interval.
16
Department of Pharmaceutics, SPMVV
2. Electronic differentiation of spectrophotometer analogue signal-
• Resistance capacitance(RC) modules are highly dependent on instrumental parameters, the scan
speed and the time constant.
• Resistance capacitance modules may be incorporated in series between spectrophotometer and
recorder to provide differentiation of absorbance.
• Standard solution of analysis is employed to calibrate the measured value under the instrumental
condition selected.
3. Based on microcomputers differentiation-
• Derivative spectra during or after scan.
• To measure derivative amplitudes between specified wavelengths.
• To calculate concentrations and associated statistics from the measured amplitudes.
17
Department of Pharmaceutics, SPMVV
ADVANTAGES DISADVANTAGES
Even in small wavelength range, in presence of
two or more overlapped peaks, absorbance
bands can be identified.
Even though it is sensitive method still it is
highly susceptible to various parameters.
In presence of strong and sharp absorbance
peak, weak and small absorbance peak can be
identified.
The method is limited to particular system only
and has limited applications due to its less
reproducibility.
Broad absorbance spectrum gives clear idea
about the particular wavelength at that
maximum spectrum.
It is less accurate in measuring zero-crossing
spectra.
Even in presence of existed background
absorption, the quantitative analysis can studied
as there is linear relationship between the
derivative values and the concentration levels.
There is likeness in shape of derivative spectra
and zero order spectrum, so small variation in a
basic spectrum can strongly modify derivative
spectrum.
18
Department of Pharmaceutics, SPMVV
APPLICATIONS OF DERIVATIVE SPECTROSCOPY
1. Better qualitative analysis and identification of the number of absorbing species in a sample.
2. Single component analysis.
3. Accurate determination of λ𝑚𝑎𝑥.
4. Obtaining spectra in solutions with high scattering is possible using dual wavelength instruments.
5. Multicomponent analysis- Spectral derivatization can remove the prevalence caused by spectra of
disturbing compounds.
6. Bioanalytical application- Amphotericin and Diazepam has been determined in human plasma
with its order of derivatives.
7. Forensic toxicology- Derivative spectroscopy has its application in toxicology especially of illicit
drugs viz; amphetamine, ephedrine, meperidine, diazepam, etc. and can also be used in mixtures.
8. Trace analysis- Derivative signal processing technique is widely used in practical analytical work
in measurement of small amounts of substances in the presence of large amounts of potentially
interfering substances; in the conditions like non-specific broadband interfering absorption, non-
reproducible cuvette positioning, dirt or fingerprints on the cuvette walls, etc.
19
Department of Pharmaceutics, SPMVV
APPLICATIONS OF UV-VISIBLE SPECTROSCOPY
1. Detection of impurities
2. Elucidation of organic compounds- For example, elucidation of structure of
Vitamin K1 & K2 and Vitamin A1&A2.
• Vitamin K1&K2- dimethyl naphtha-quinone
• Vitamin A1&A2- additional ethylic bond
3. Quantitative analysis- Based on Beer’s Law
𝐴 = 𝑙𝑜𝑔
𝐼𝑂
𝐼𝑡
= 𝑙𝑜𝑔
1
𝑇
= −𝑙𝑜𝑔𝑇 = 𝑎𝑏𝑐 = 𝜀𝑏𝑐
4. Chemical Kinetics
5. Qualitative analysis of pharmaceutical substances- Diazepam tablet can
be analysed by 0.5% 𝐻2𝑆𝑂4 in methanol at the wavelength 284nm.
6. As HPLC detector
20
Department of Pharmaceutics, SPMVV
7. Detection of functional groups
8. Molecular weight determination-
• Amine Amine picrate Dissolved in 1ltr of solution
• Optical density measured at λ𝑚𝑎𝑥 380nm
𝑪 =
𝐥𝐨𝐠 𝑰𝒐/𝑰𝒕
𝜺𝒎𝒂𝒙 𝟏
9. Examination of polynuclear hydrocarbons
10. Extent of conjugation- Extent of conjugation in polyene can be
estimated, (RCH=CH)n-R
Naphthalene Diphenyl
21
Department of Pharmaceutics, SPMVV
REFERENCES
1. J. Chil. Chem. Soc. vol.63 no.3 Concepción 2018, A Review on Derivative UV-Spectrophotometry
analysis of drugs in pharmaceutical formulations and biological samples review, Journal of the
Chilean Chemical Society, version On-line ISSN 0717-9707.
2. T. C. O'Haver and T. Begley, Signal-to-noise ratio in higher order derivative spectrometry, Anal.
Chem. 1981, 53, 12, 1876–1878.
3. Thomas C. O'Haver, Anthony F. Fell, Geoffrey Smith, Derivative spectroscopy and its
applications in analysis, Anal. Proc., 1982,19, 22-46.
4. Dr. S. Ravi Sankar, Textbook of Pharmaceutical Analysis, 5th edition.
5. Sharma. YR., Elementary Organic Spectroscopy, 1st edition, S. Chand publisher; 2010.
6. Chatwal G.R., Instrumental methods of Chemical Analysis, 1st edition, Himalaya publisher; 2010.
7. https://www.avantes.com/applications/cases/uv-vis-spectroscopy-applications-in-chemistry/
23
THANK YOU!

More Related Content

What's hot

Derivative spectroscopy
Derivative spectroscopyDerivative spectroscopy
Derivative spectroscopyakkimi padama
 
Fragmentation rules mass spectroscopy
Fragmentation rules mass spectroscopyFragmentation rules mass spectroscopy
Fragmentation rules mass spectroscopySanthosh Kalakar dj
 
Quantum numbers and its roles in nmr
Quantum numbers and its roles in nmrQuantum numbers and its roles in nmr
Quantum numbers and its roles in nmrAtul Adhikari
 
Mass Spectrometry
Mass SpectrometryMass Spectrometry
Mass SpectrometryPujanSasmal
 
Difference & derivative spectrometry
Difference & derivative spectrometryDifference & derivative spectrometry
Difference & derivative spectrometryaishuanju
 
Multi component analysis (uv visible spectroscopy) by mr. pradeep swarnkar)
Multi component analysis (uv visible spectroscopy) by mr. pradeep swarnkar)Multi component analysis (uv visible spectroscopy) by mr. pradeep swarnkar)
Multi component analysis (uv visible spectroscopy) by mr. pradeep swarnkar)Pradeep Swarnkar
 
Ir spectroscopy instrumentation, b y -dr. umesh kumar sharma and arathy s a
Ir spectroscopy instrumentation, b y -dr. umesh kumar sharma and arathy s aIr spectroscopy instrumentation, b y -dr. umesh kumar sharma and arathy s a
Ir spectroscopy instrumentation, b y -dr. umesh kumar sharma and arathy s aDr. UMESH KUMAR SHARMA
 
FACTORS INFLUENCING FLUORESCENCE INTENSITY
FACTORS INFLUENCING FLUORESCENCE INTENSITYFACTORS INFLUENCING FLUORESCENCE INTENSITY
FACTORS INFLUENCING FLUORESCENCE INTENSITYaishuanju
 
UV-Visible spectroscopy
UV-Visible spectroscopyUV-Visible spectroscopy
UV-Visible spectroscopyDivya V
 
Dispersive ir spectrophotometer
Dispersive ir spectrophotometerDispersive ir spectrophotometer
Dispersive ir spectrophotometerHimaniPeshavaria
 
Uv and visible appications
Uv and visible appicationsUv and visible appications
Uv and visible appicationssuhasini
 
NMR SPECTROSCOPY
NMR SPECTROSCOPYNMR SPECTROSCOPY
NMR SPECTROSCOPYVidyaNani
 
single component.pptx
single component.pptxsingle component.pptx
single component.pptxAnjanaDinesh7
 
Nuclear Magnetic Double Resonance (Decoupling).pptx
Nuclear Magnetic Double Resonance (Decoupling).pptxNuclear Magnetic Double Resonance (Decoupling).pptx
Nuclear Magnetic Double Resonance (Decoupling).pptxRushikeshTidake
 
Solvents and solvent effect in UV - Vis Spectroscopy, By Dr. Umesh Kumar sh...
Solvents and  solvent effect in UV -  Vis Spectroscopy, By Dr. Umesh Kumar sh...Solvents and  solvent effect in UV -  Vis Spectroscopy, By Dr. Umesh Kumar sh...
Solvents and solvent effect in UV - Vis Spectroscopy, By Dr. Umesh Kumar sh...Dr. UMESH KUMAR SHARMA
 
Mass fragmentation & rules
Mass fragmentation & rulesMass fragmentation & rules
Mass fragmentation & rulesMehulJain143
 
uv spectroscopy by HARVINDAR SINGH .M.PHARM PHARMACEUTICS
 uv spectroscopy by HARVINDAR SINGH .M.PHARM PHARMACEUTICS uv spectroscopy by HARVINDAR SINGH .M.PHARM PHARMACEUTICS
uv spectroscopy by HARVINDAR SINGH .M.PHARM PHARMACEUTICSHarevindarsingh
 

What's hot (20)

Derivative spectroscopy
Derivative spectroscopyDerivative spectroscopy
Derivative spectroscopy
 
Fragmentation rules mass spectroscopy
Fragmentation rules mass spectroscopyFragmentation rules mass spectroscopy
Fragmentation rules mass spectroscopy
 
Quantum numbers and its roles in nmr
Quantum numbers and its roles in nmrQuantum numbers and its roles in nmr
Quantum numbers and its roles in nmr
 
Mass Spectrometry
Mass SpectrometryMass Spectrometry
Mass Spectrometry
 
Difference & derivative spectrometry
Difference & derivative spectrometryDifference & derivative spectrometry
Difference & derivative spectrometry
 
Multi component analysis (uv visible spectroscopy) by mr. pradeep swarnkar)
Multi component analysis (uv visible spectroscopy) by mr. pradeep swarnkar)Multi component analysis (uv visible spectroscopy) by mr. pradeep swarnkar)
Multi component analysis (uv visible spectroscopy) by mr. pradeep swarnkar)
 
"X ray crystallography" - Tathagata Pradhan , Department of Pharmaceutical Ch...
"X ray crystallography" - Tathagata Pradhan , Department of Pharmaceutical Ch..."X ray crystallography" - Tathagata Pradhan , Department of Pharmaceutical Ch...
"X ray crystallography" - Tathagata Pradhan , Department of Pharmaceutical Ch...
 
Ir spectroscopy instrumentation, b y -dr. umesh kumar sharma and arathy s a
Ir spectroscopy instrumentation, b y -dr. umesh kumar sharma and arathy s aIr spectroscopy instrumentation, b y -dr. umesh kumar sharma and arathy s a
Ir spectroscopy instrumentation, b y -dr. umesh kumar sharma and arathy s a
 
Dispersive & FTIR
Dispersive & FTIRDispersive & FTIR
Dispersive & FTIR
 
FACTORS INFLUENCING FLUORESCENCE INTENSITY
FACTORS INFLUENCING FLUORESCENCE INTENSITYFACTORS INFLUENCING FLUORESCENCE INTENSITY
FACTORS INFLUENCING FLUORESCENCE INTENSITY
 
Mass spectroscopy
Mass spectroscopyMass spectroscopy
Mass spectroscopy
 
UV-Visible spectroscopy
UV-Visible spectroscopyUV-Visible spectroscopy
UV-Visible spectroscopy
 
Dispersive ir spectrophotometer
Dispersive ir spectrophotometerDispersive ir spectrophotometer
Dispersive ir spectrophotometer
 
Uv and visible appications
Uv and visible appicationsUv and visible appications
Uv and visible appications
 
NMR SPECTROSCOPY
NMR SPECTROSCOPYNMR SPECTROSCOPY
NMR SPECTROSCOPY
 
single component.pptx
single component.pptxsingle component.pptx
single component.pptx
 
Nuclear Magnetic Double Resonance (Decoupling).pptx
Nuclear Magnetic Double Resonance (Decoupling).pptxNuclear Magnetic Double Resonance (Decoupling).pptx
Nuclear Magnetic Double Resonance (Decoupling).pptx
 
Solvents and solvent effect in UV - Vis Spectroscopy, By Dr. Umesh Kumar sh...
Solvents and  solvent effect in UV -  Vis Spectroscopy, By Dr. Umesh Kumar sh...Solvents and  solvent effect in UV -  Vis Spectroscopy, By Dr. Umesh Kumar sh...
Solvents and solvent effect in UV - Vis Spectroscopy, By Dr. Umesh Kumar sh...
 
Mass fragmentation & rules
Mass fragmentation & rulesMass fragmentation & rules
Mass fragmentation & rules
 
uv spectroscopy by HARVINDAR SINGH .M.PHARM PHARMACEUTICS
 uv spectroscopy by HARVINDAR SINGH .M.PHARM PHARMACEUTICS uv spectroscopy by HARVINDAR SINGH .M.PHARM PHARMACEUTICS
uv spectroscopy by HARVINDAR SINGH .M.PHARM PHARMACEUTICS
 

Similar to Derivative UV-Vis Spectroscopy Guide

DERIVATIVE SPECTROSCOPY
DERIVATIVE SPECTROSCOPY DERIVATIVE SPECTROSCOPY
DERIVATIVE SPECTROSCOPY MeherAlam2
 
Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...
Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...
Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...IJMTST Journal
 
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...IOSR Journals
 
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...IOSR Journals
 
Reactive Power Compensation in Single Phase Distribution System using SVC, ST...
Reactive Power Compensation in Single Phase Distribution System using SVC, ST...Reactive Power Compensation in Single Phase Distribution System using SVC, ST...
Reactive Power Compensation in Single Phase Distribution System using SVC, ST...IRJET Journal
 
Transmitter Detection Methods of Spectrum Sensing For Cognitive Radio Network...
Transmitter Detection Methods of Spectrum Sensing For Cognitive Radio Network...Transmitter Detection Methods of Spectrum Sensing For Cognitive Radio Network...
Transmitter Detection Methods of Spectrum Sensing For Cognitive Radio Network...IRJET Journal
 
Performance Analysis of Noise Uncertainty in Energy Detection Spectrum Sensin...
Performance Analysis of Noise Uncertainty in Energy Detection Spectrum Sensin...Performance Analysis of Noise Uncertainty in Energy Detection Spectrum Sensin...
Performance Analysis of Noise Uncertainty in Energy Detection Spectrum Sensin...Onyebuchi nosiri
 
Heterogeneous Spectrum Sensing in Cognitive Radio Network using Traditional E...
Heterogeneous Spectrum Sensing in Cognitive Radio Network using Traditional E...Heterogeneous Spectrum Sensing in Cognitive Radio Network using Traditional E...
Heterogeneous Spectrum Sensing in Cognitive Radio Network using Traditional E...IJEACS
 
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...ijwmn
 
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...ijwmn
 
Research paper on cognitive radio network
Research paper on cognitive radio networkResearch paper on cognitive radio network
Research paper on cognitive radio networkbkmishra21
 
Research paper on cognitive radio network
Research paper on cognitive radio networkResearch paper on cognitive radio network
Research paper on cognitive radio networkbkmishra21
 
International journal of engineering issues vol 2015 - no 2 - paper7
International journal of engineering issues   vol 2015 - no 2 - paper7International journal of engineering issues   vol 2015 - no 2 - paper7
International journal of engineering issues vol 2015 - no 2 - paper7sophiabelthome
 
sub topics of NMR.pptx
sub topics of NMR.pptxsub topics of NMR.pptx
sub topics of NMR.pptxHajira Mahmood
 
IRJET- Dynamic Spectrum Sensing using Matched Filter Method and MATLAB Simula...
IRJET- Dynamic Spectrum Sensing using Matched Filter Method and MATLAB Simula...IRJET- Dynamic Spectrum Sensing using Matched Filter Method and MATLAB Simula...
IRJET- Dynamic Spectrum Sensing using Matched Filter Method and MATLAB Simula...IRJET Journal
 
Wavelength Accuracy.pptx
Wavelength Accuracy.pptxWavelength Accuracy.pptx
Wavelength Accuracy.pptxsumitdekate1
 
Performance Evaluation of Computationally Efficient Energy Detection Based Sp...
Performance Evaluation of Computationally Efficient Energy Detection Based Sp...Performance Evaluation of Computationally Efficient Energy Detection Based Sp...
Performance Evaluation of Computationally Efficient Energy Detection Based Sp...IJRST Journal
 

Similar to Derivative UV-Vis Spectroscopy Guide (20)

DERIVATIVE SPECTROSCOPY
DERIVATIVE SPECTROSCOPY DERIVATIVE SPECTROSCOPY
DERIVATIVE SPECTROSCOPY
 
Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...
Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...
Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...
 
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...
 
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...
Performance Analysis and Comparative Study of Cognitive Radio Spectrum Sensin...
 
Reactive Power Compensation in Single Phase Distribution System using SVC, ST...
Reactive Power Compensation in Single Phase Distribution System using SVC, ST...Reactive Power Compensation in Single Phase Distribution System using SVC, ST...
Reactive Power Compensation in Single Phase Distribution System using SVC, ST...
 
Transmitter Detection Methods of Spectrum Sensing For Cognitive Radio Network...
Transmitter Detection Methods of Spectrum Sensing For Cognitive Radio Network...Transmitter Detection Methods of Spectrum Sensing For Cognitive Radio Network...
Transmitter Detection Methods of Spectrum Sensing For Cognitive Radio Network...
 
Performance Analysis of Noise Uncertainty in Energy Detection Spectrum Sensin...
Performance Analysis of Noise Uncertainty in Energy Detection Spectrum Sensin...Performance Analysis of Noise Uncertainty in Energy Detection Spectrum Sensin...
Performance Analysis of Noise Uncertainty in Energy Detection Spectrum Sensin...
 
NON PARAMETRIC METHOD
NON PARAMETRIC METHODNON PARAMETRIC METHOD
NON PARAMETRIC METHOD
 
Heterogeneous Spectrum Sensing in Cognitive Radio Network using Traditional E...
Heterogeneous Spectrum Sensing in Cognitive Radio Network using Traditional E...Heterogeneous Spectrum Sensing in Cognitive Radio Network using Traditional E...
Heterogeneous Spectrum Sensing in Cognitive Radio Network using Traditional E...
 
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...
 
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...
MULTI-STAGES CO-OPERATIVE/NONCOOPERATIVE SCHEMES OF SPECTRUM SENSING FOR COGN...
 
Research paper on cognitive radio network
Research paper on cognitive radio networkResearch paper on cognitive radio network
Research paper on cognitive radio network
 
Research paper on cognitive radio network
Research paper on cognitive radio networkResearch paper on cognitive radio network
Research paper on cognitive radio network
 
International journal of engineering issues vol 2015 - no 2 - paper7
International journal of engineering issues   vol 2015 - no 2 - paper7International journal of engineering issues   vol 2015 - no 2 - paper7
International journal of engineering issues vol 2015 - no 2 - paper7
 
Cognitive Radio
Cognitive RadioCognitive Radio
Cognitive Radio
 
sub topics of NMR.pptx
sub topics of NMR.pptxsub topics of NMR.pptx
sub topics of NMR.pptx
 
IRJET- Dynamic Spectrum Sensing using Matched Filter Method and MATLAB Simula...
IRJET- Dynamic Spectrum Sensing using Matched Filter Method and MATLAB Simula...IRJET- Dynamic Spectrum Sensing using Matched Filter Method and MATLAB Simula...
IRJET- Dynamic Spectrum Sensing using Matched Filter Method and MATLAB Simula...
 
Wavelength Accuracy.pptx
Wavelength Accuracy.pptxWavelength Accuracy.pptx
Wavelength Accuracy.pptx
 
Performance Evaluation of Computationally Efficient Energy Detection Based Sp...
Performance Evaluation of Computationally Efficient Energy Detection Based Sp...Performance Evaluation of Computationally Efficient Energy Detection Based Sp...
Performance Evaluation of Computationally Efficient Energy Detection Based Sp...
 
F0483340
F0483340F0483340
F0483340
 

Recently uploaded

Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.PraveenaKalaiselvan1
 
Module 4: Mendelian Genetics and Punnett Square
Module 4:  Mendelian Genetics and Punnett SquareModule 4:  Mendelian Genetics and Punnett Square
Module 4: Mendelian Genetics and Punnett SquareIsiahStephanRadaza
 
‏‏VIRUS - 123455555555555555555555555555555555555555
‏‏VIRUS -  123455555555555555555555555555555555555555‏‏VIRUS -  123455555555555555555555555555555555555555
‏‏VIRUS - 123455555555555555555555555555555555555555kikilily0909
 
insect anatomy and insect body wall and their physiology
insect anatomy and insect body wall and their  physiologyinsect anatomy and insect body wall and their  physiology
insect anatomy and insect body wall and their physiologyDrAnita Sharma
 
Welcome to GFDL for Take Your Child To Work Day
Welcome to GFDL for Take Your Child To Work DayWelcome to GFDL for Take Your Child To Work Day
Welcome to GFDL for Take Your Child To Work DayZachary Labe
 
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
Speech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxSpeech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxpriyankatabhane
 
Call Girls in Hauz Khas Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Hauz Khas Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Hauz Khas Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Hauz Khas Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
Temporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of MasticationTemporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of Masticationvidulajaib
 
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentationtahreemzahra82
 
Scheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxScheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxyaramohamed343013
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxmalonesandreagweneth
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
Cytokinin, mechanism and its application.pptx
Cytokinin, mechanism and its application.pptxCytokinin, mechanism and its application.pptx
Cytokinin, mechanism and its application.pptxVarshiniMK
 
Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫qfactory1
 
Transposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptTransposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptArshadWarsi13
 
Heredity: Inheritance and Variation of Traits
Heredity: Inheritance and Variation of TraitsHeredity: Inheritance and Variation of Traits
Heredity: Inheritance and Variation of TraitsCharlene Llagas
 
TOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsTOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsssuserddc89b
 

Recently uploaded (20)

Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
 
Module 4: Mendelian Genetics and Punnett Square
Module 4:  Mendelian Genetics and Punnett SquareModule 4:  Mendelian Genetics and Punnett Square
Module 4: Mendelian Genetics and Punnett Square
 
‏‏VIRUS - 123455555555555555555555555555555555555555
‏‏VIRUS -  123455555555555555555555555555555555555555‏‏VIRUS -  123455555555555555555555555555555555555555
‏‏VIRUS - 123455555555555555555555555555555555555555
 
insect anatomy and insect body wall and their physiology
insect anatomy and insect body wall and their  physiologyinsect anatomy and insect body wall and their  physiology
insect anatomy and insect body wall and their physiology
 
Welcome to GFDL for Take Your Child To Work Day
Welcome to GFDL for Take Your Child To Work DayWelcome to GFDL for Take Your Child To Work Day
Welcome to GFDL for Take Your Child To Work Day
 
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
Speech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxSpeech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptx
 
Call Girls in Hauz Khas Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Hauz Khas Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Hauz Khas Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Hauz Khas Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
Temporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of MasticationTemporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of Mastication
 
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentation
 
Scheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxScheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docx
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
Cytokinin, mechanism and its application.pptx
Cytokinin, mechanism and its application.pptxCytokinin, mechanism and its application.pptx
Cytokinin, mechanism and its application.pptx
 
Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫
 
Transposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptTransposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.ppt
 
Heredity: Inheritance and Variation of Traits
Heredity: Inheritance and Variation of TraitsHeredity: Inheritance and Variation of Traits
Heredity: Inheritance and Variation of Traits
 
TOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsTOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physics
 

Derivative UV-Vis Spectroscopy Guide

  • 1. Derivative Spectroscopy & Applications of UV- Visible Spectroscopy UNDER THE GUIDANCE OF: Dr. A. Sreedevi M.Pharm., Ph.D. Department of Pharmaceutics SUBMITTED BY: Nayeema Khowser Shaik M.Pharmacy Ist year 2020MPH40A029
  • 2. Contents  Introduction  Objectives  Measurement techniques  Derivative Spectra  Signal-to-noise ratio  Instrumentation  Advantages and disadvantages  Applications of Derivative Spectroscopy  Applications of UV-Visible Spectroscopy  References Department of Pharmaceutics, SPMVV 2
  • 3. INTRODUCTION  Derivative UV-spectrophotometry an analytical technique of enormous implication commonly in obtaining mutually qualitative and quantitative in order from spectra that are of unresolved bands, with respect to qualitative and quantitative analysis, it uses first or higher derivatives of absorbance in accordance with wavelength.  This operation allows to remove spectral interferences and as a consequence leads to increase selectivity of assay.  It was originally brought in 1950s with its applicability in a lot of features, but because of its complication in producing derivative spectra via UV-Visible spectroscopy the method found less practice.  It is presently available with software's controlling modern spectrophotometers. Department of Pharmaceutics, SPMVV 3
  • 4. OBJECTIVES Department of Pharmaceutics, SPMVV It is a spectroscopic technique that differentiates spectra. The objective with which derivative methods used in analytical chemistry are:  Spectral differentiation- As a qualitative method that distinguish small variation between almost similar spectra’s.  Spectral resolution enhancement- Overlapping spectral bands gets resolved to simply estimation the number of bands and their wavelengths.  Quantitative analysis- It facilitates multicomponent analysis and corrects the irrelevant background absorption. Derivative spectroscopy method forms the beginning of differentiation or resolution of overlapping bands; the vital characteristics of derivative process are that broad bands are suppressed relative to sharp bands. 4
  • 5. MEASUREMENT TECHNIQUES Department of Pharmaceutics, SPMVV Measurement of derivative spectra value is achieved out by the following three methods: 1. Graphic measurement- Graphic measurement is theoretical method to calculate the derivative spectra on paper, its manual method it suffer from disadvantage that it gives inaccurate results because the value can determined numerically can be abolish or diminish beyond restriction. 2. Numeric measurement- The method uses set of points where derivative values is carried out by estimating the derivative value at a given wavelength. It gives derivatives by spectral differentiation using suitable numerical algorithm. 3. Zero crossing technique- The method measures the derivative spectra at a particular wavelength, where the derivative crosses the point at zero line. Interference of one component in determination of other component can be eliminated by zero crossing technique. 5
  • 6. DERIVATIVE SPECTRA Department of Pharmaceutics, SPMVV  In quantitative analysis, derivative spectra enlarge difference between spectra to resolve overlapping bands. The digital algorithm method called as Savitzky-Golay is most outstandingly referred for obtaining derivative spectra.  The degree of difficulty of derivative spectra increases with presence of satellite peaks.  On the basis of solvents polarity, peaks and troughs shifts either to shorter or longer wavelength. 6
  • 7.  When spectrum is scanned at a constant rate, real time derivative spectra can be recorded either by achieving the time derivative of the spectrum or by wavelength modulation.  Wavelength modulation device is used to record the derivative spectra, where a beam of radiation differs in wavelength by a small change (1-2 nm) and difference between the two readings is recorded, computerized method is widely used to obtain derivative curves.  Derivative spectra can obtain by variety of experimental techniques; the differentiation can be done numerically even if the spectrum has been recorded digitally or in computerized readable form. Department of Pharmaceutics, SPMVV 7
  • 8. Department of Pharmaceutics, SPMVV The way of obtaining the derivative orders-  Derivative spectroscopy accomplishes conversion of a normal or zero order spectrums to its first, second or higher derivative spectrum.  The normal spectra is known as fundamental, zero order or D˚ spectra.  Appropriate selection of derivative order gives useful separation of overlapped signals. 8
  • 9. Department of Pharmaceutics, SPMVV Zero order derivative spectrum • Zero order derivative is initial step of giving further derivatives i.e., zeroth order spectrum can give nth order derivative. D0 spectrum i.e. zeroth order is a representative feature of normal absorption spectrum. • The 1st, 2nd, 3rd and 4th order derivative spectra can be obtained directly from the zeroth order spectrum. An increase in order of derivatives increases the sensitivity of determination. • If a spectrum is expressed as absorbance (A) as a function of wavelength (λ), the derivative spectra is given as, A=f(λ) 9
  • 10. Department of Pharmaceutics, SPMVV First order derivative spectrum • Spectra obtained by derivatizing zero order spectrum once. It is a plot of change of absorbance with wavelength against wavelength i.e. rate of change of the absorbance with wavelength, dA/dλ=f’(λ) • First order spectra passes through zero as λ max of the absorbance band. • Absorbance band of first order derivative shows certain positive and negative band with maxima and minima. • By scanning the spectrum with a minimum and constant difference between two wavelengths, dual-wavelength spectrophotometer obtains first-derivative spectra. • It is characterized by a maximum, a minimum and cross over point at the λmax of the absorption band. 10
  • 11. Department of Pharmaceutics, SPMVV Second order derivative spectrum • Derivatizing the absorbance spectrum twice gives this type of spectra. • It is a plot of curvature of absorption spectrum against wavelength, d2A/dλ2=f’(λ) • Second derivative has direct relation with concentration i.e. directly proportional. d2A/dλ2 must be large, large the ratio greater is the sensitivity. • The method is useful in obtaining atomic and gas molecular spectra. Third order derivative spectrum • Unlike second order spectrum third derivative spectrum shows disperse function to that of original curve, d3A/dλ3=f’''(λ) 11
  • 12. Department of Pharmaceutics, SPMVV Fourth order derivative spectrum • Fourth order is inverted spectrum of second order and has a sharper central peak than the original band, Narrow bands are selectively determined by fourth derivative (UV-high pressure), d4A/dλ4=f‘’(λ) • Quantitatively for second or fourth order derivative curves, peak heights are measured of long-wave peak satellite or for short-wave peak satellite. 12
  • 13. Department of Pharmaceutics, SPMVV • In case of multicomponent analysis, the spectral differences of assayed compounds and their selective determination can be increased by the use of different polynomial degrees. • Polynomial degree has a great impact on number of polynomial points rather than on shape of derivative. • The scope of polynomial is less; differentiation of spectra of half-width is used by low degree polynomials and that for spectra of small half -width by higher degree polynomials. • Distorted derivative spectrum is a result of inappropriate polynomial degree. Polynomial Degree 13
  • 14. NOISE-TO-SIGNAL RATIO Department of Pharmaceutics, SPMVV • Signal-to-noise ratio can be defined as the mean value of a signal (S) divided by the standard deviation of the background (N). • The noise is responsible for sharpest features in the spectrum. Signal is defined as the difference between the largest (most positive) and the smallest (most negative) value of the derivative. • S/N can be improved prior to derivatization if spectrophotometer would scan spectra and average multiple spectra. • Best signal-to-noise ratio can be obtained by taking the difference between the highest maximum and the lowest minimum, but this leads to enhanced sensitivity to interference from other components. • The signal becomes impossible to see when S/N drops below 2 or 3. • Noise of signal is expressed by standard deviation σ. Standard deviation σ0 expresses the noise of normal spectrum of the absorbance of blank while standard deviation σn expresses nth order derivative that can be calculated by σ0. 14
  • 15. Department of Pharmaceutics, SPMVV Smoothing of spectra- • Increase in signal-to-noise ratio generates many worse conditions, to lessen the condition or to decrease the high-frequency noise, technique is used viz; low-pass filtering or smoothing. • Smoothing is an operation that is performed on spectra separately on each row of the data and acts on adjacent variables. • The smoothing effect depends upon two variables mainly on: (a) Frequency of smoothing and (b) the smoothing ratio i.e. ratio of width of the smoothed peak to the number M of data points. • With sufficient smoothing, high order derivatives can be obtained with only modest signal-to- noise ratio degradation compared to zeroth order. • A first derivative smoothed by one pass of an N-point sliding average smooth has the general form, 𝟏 𝑵 (𝒂𝑵+𝟏-𝒂𝟏), 𝟏 𝑵 (𝒂𝑵+𝟐-𝒂𝟐)…. • A standard deviation of- 𝟐𝟏/𝟐 𝝈𝒐/N 15
  • 16. INSTRUMENTATION Department of Pharmaceutics, SPMVV • Derivative spectra may be generated by 3 techniques: 1. Modification of optical system- • Spectrophotometers with dual monochromators, set a small wavelength interval (∆λ typically 1- 3nm) apart or with the facility to oscillate wavelength over a small range are required. • In either case, photodetector generates a signal with an amplitude proportional to slope of spectrum over wavelength interval. 16
  • 17. Department of Pharmaceutics, SPMVV 2. Electronic differentiation of spectrophotometer analogue signal- • Resistance capacitance(RC) modules are highly dependent on instrumental parameters, the scan speed and the time constant. • Resistance capacitance modules may be incorporated in series between spectrophotometer and recorder to provide differentiation of absorbance. • Standard solution of analysis is employed to calibrate the measured value under the instrumental condition selected. 3. Based on microcomputers differentiation- • Derivative spectra during or after scan. • To measure derivative amplitudes between specified wavelengths. • To calculate concentrations and associated statistics from the measured amplitudes. 17
  • 18. Department of Pharmaceutics, SPMVV ADVANTAGES DISADVANTAGES Even in small wavelength range, in presence of two or more overlapped peaks, absorbance bands can be identified. Even though it is sensitive method still it is highly susceptible to various parameters. In presence of strong and sharp absorbance peak, weak and small absorbance peak can be identified. The method is limited to particular system only and has limited applications due to its less reproducibility. Broad absorbance spectrum gives clear idea about the particular wavelength at that maximum spectrum. It is less accurate in measuring zero-crossing spectra. Even in presence of existed background absorption, the quantitative analysis can studied as there is linear relationship between the derivative values and the concentration levels. There is likeness in shape of derivative spectra and zero order spectrum, so small variation in a basic spectrum can strongly modify derivative spectrum. 18
  • 19. Department of Pharmaceutics, SPMVV APPLICATIONS OF DERIVATIVE SPECTROSCOPY 1. Better qualitative analysis and identification of the number of absorbing species in a sample. 2. Single component analysis. 3. Accurate determination of λ𝑚𝑎𝑥. 4. Obtaining spectra in solutions with high scattering is possible using dual wavelength instruments. 5. Multicomponent analysis- Spectral derivatization can remove the prevalence caused by spectra of disturbing compounds. 6. Bioanalytical application- Amphotericin and Diazepam has been determined in human plasma with its order of derivatives. 7. Forensic toxicology- Derivative spectroscopy has its application in toxicology especially of illicit drugs viz; amphetamine, ephedrine, meperidine, diazepam, etc. and can also be used in mixtures. 8. Trace analysis- Derivative signal processing technique is widely used in practical analytical work in measurement of small amounts of substances in the presence of large amounts of potentially interfering substances; in the conditions like non-specific broadband interfering absorption, non- reproducible cuvette positioning, dirt or fingerprints on the cuvette walls, etc. 19
  • 20. Department of Pharmaceutics, SPMVV APPLICATIONS OF UV-VISIBLE SPECTROSCOPY 1. Detection of impurities 2. Elucidation of organic compounds- For example, elucidation of structure of Vitamin K1 & K2 and Vitamin A1&A2. • Vitamin K1&K2- dimethyl naphtha-quinone • Vitamin A1&A2- additional ethylic bond 3. Quantitative analysis- Based on Beer’s Law 𝐴 = 𝑙𝑜𝑔 𝐼𝑂 𝐼𝑡 = 𝑙𝑜𝑔 1 𝑇 = −𝑙𝑜𝑔𝑇 = 𝑎𝑏𝑐 = 𝜀𝑏𝑐 4. Chemical Kinetics 5. Qualitative analysis of pharmaceutical substances- Diazepam tablet can be analysed by 0.5% 𝐻2𝑆𝑂4 in methanol at the wavelength 284nm. 6. As HPLC detector 20
  • 21. Department of Pharmaceutics, SPMVV 7. Detection of functional groups 8. Molecular weight determination- • Amine Amine picrate Dissolved in 1ltr of solution • Optical density measured at λ𝑚𝑎𝑥 380nm 𝑪 = 𝐥𝐨𝐠 𝑰𝒐/𝑰𝒕 𝜺𝒎𝒂𝒙 𝟏 9. Examination of polynuclear hydrocarbons 10. Extent of conjugation- Extent of conjugation in polyene can be estimated, (RCH=CH)n-R Naphthalene Diphenyl 21
  • 22. Department of Pharmaceutics, SPMVV REFERENCES 1. J. Chil. Chem. Soc. vol.63 no.3 Concepción 2018, A Review on Derivative UV-Spectrophotometry analysis of drugs in pharmaceutical formulations and biological samples review, Journal of the Chilean Chemical Society, version On-line ISSN 0717-9707. 2. T. C. O'Haver and T. Begley, Signal-to-noise ratio in higher order derivative spectrometry, Anal. Chem. 1981, 53, 12, 1876–1878. 3. Thomas C. O'Haver, Anthony F. Fell, Geoffrey Smith, Derivative spectroscopy and its applications in analysis, Anal. Proc., 1982,19, 22-46. 4. Dr. S. Ravi Sankar, Textbook of Pharmaceutical Analysis, 5th edition. 5. Sharma. YR., Elementary Organic Spectroscopy, 1st edition, S. Chand publisher; 2010. 6. Chatwal G.R., Instrumental methods of Chemical Analysis, 1st edition, Himalaya publisher; 2010. 7. https://www.avantes.com/applications/cases/uv-vis-spectroscopy-applications-in-chemistry/ 23