Chemometrics in forensic science

This review represents a detailed discussion of the multivariate methods used in the examination of forensic exhibits; their advantages, disadvantages, and efficiency are compared. The last decade has seen the application of the chemometric methods combined with analytical techniques for characteriz...

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Vydáno v:TrAC, Trends in analytical chemistry (Regular ed.) Ročník 105; s. 191 - 201
Hlavní autoři: Kumar, Raj, Sharma, Vishal
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.08.2018
Témata:
analytical methods
Analytical techniques
Characterization
Chemometrics
Discrimination
Forensic science
forensic sciences
multivariate analysis
ANN
NAS
CNN
ATR-FTIR
SPA
LR
Analytical techniques
AFM
LDA
BLR
RDA
Characterization
MLR
GA
CA
HPLC
HSI
FID
Forensic science
SW
ICA
SIMCA
HCA
LA-ICP-MS
kNN
PLS-DA
LIBS
PCA
GC-MS
Discrimination
AAS
ToF-SIMS
SERS
NIR
ICP-MS
Chemometrics
CART
ISSN:0165-9936, 1879-3142
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Popis
Shrnutí:This review represents a detailed discussion of the multivariate methods used in the examination of forensic exhibits; their advantages, disadvantages, and efficiency are compared. The last decade has seen the application of the chemometric methods combined with analytical techniques for characterization and discrimination of samples, which leads to the informative and representative examinations of the samples. Many research articles with reference to the use of chemometrics in forensic science have been published. This review has been divided into various sections which include chemometrics, its history, multivariate methods, and the application of chemometrics in various disciplines of forensic science. It is suggested that these new techniques and mathematical/statistical methods should be utilized in forensic science casework to get statistical confidence in the results. •Chemometrics: Its history, types and application in various disciplines of forensic science.•Combined approach of analytical and multivariate methods; their advantages and disadvantages.•Chemometric methods are expedient due to their ease of interpreting results, reliability, and speed.•Advanced modeling methods such as SIMCA and SVM are gaining popularity.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0165-9936
1879-3142
DOI:10.1016/j.trac.2018.05.010