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DOI: 10.1055/s-0028-1112220
© Georg Thieme Verlag KG Stuttgart · New York
Near Infrared Spectroscopy in Natural Products Analysis
Publikationsverlauf
Received: July 22, 2008
Revised: November 23, 2008
Accepted: November 27, 2008
Publikationsdatum:
22. Januar 2009 (online)
![](https://www.thieme-connect.de/media/plantamedica/200907/lookinside/thumbnails/10.1055-s-0028-1112220-1.jpg)
Abstract
Several medicinal and herbal plants properties are related to individual compounds such as essential oils, terpenoids, flavonoids, which are present in natural products in low concentrations (e. g., ppm or ppb). For many years, the use of classical separation and chromatographic and spectrometric techniques such as high performance liquid chromatography (HPLC), gas chromatography (GC), liquid chromatography (LC) and mass spectrometry (MS) were initially used for the elucidation of isolated compounds from different plant matrices. Spectroscopic techniques in the infrared (IR) wavelength region of the electromagnetic spectrum have been used in the food industry to monitor and evaluate the composition of foods. Although Herschel discovered light in the near-infrared (NIR) region as early as 1800, most spectroscopists of the first half of the last century ignored it, in the belief that it lacked any analytical interest. However, during the last 40 years NIR spectroscopy has become one of the most attractive and used methods for analysis. This mini-review highlights recent applications of NIR spectroscopy to the qualitative and quantitative analysis of plant natural products.
Abbreviations
ANN:artificial neural network
AOTF:acousto-optic tunable filter
ATR:attenuated total reflection
CP:crude protein
DA:discriminant analysis
DM:dry matter
DOSC:direct orthogonal signal correction
dw:dry weight
FT-NIR:Fourier transform near infrared
GC:gas chromatography
G-G:glycosylated glucose
GSL:glucosinolates
InGaAs:indium gallium arsenide
iPLS:interval partial least squares
IR:infrared
LC:liquid chromatography
LCTF:liquid crystal tunable filters
MEMS:micro electro mechanical systems
MIR:mid infrared
MLR:multiple linear regression
MPLS:modified PLS
MSC:multiplicative scatter correction
MS:mass spectrometry
NIR:near infrared reflectance
NOCH:NIR on combine harvest
PCA:principal component analysis
PDA:photodiode array
PLS:partial least squares
SECV:standard error of cross validation
SEP:standard error of prediction
Si:silicon
siPLS:synergy interval partial least squares
SVM:support vector machine
SIMCA:soft independent modelling of class analogies
R:correlation coefficient
R2:coefficient of determination
RPD:residual predictive deviation
RMSEC:root mean square error of calibration
RMSECV:root mean square error of cross validation
RMSEP:root mean square rrror of prediction
REAC:trolox equivalent antioxidant capacity
TLC:thin layer chromatography
THC:tetrahydrocannabinol
UV:ultraviolet
VIS:visible
WT:wavelet transformation
Key words
near infrared spectroscopy - natural products - chemometrics - quantitative analysis
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Daniel Cozzolino
The Australian Wine Research Institute
Waite Campus
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Urrbrae – 5064
Australia
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eMail: daniel.cozzolino@awri.com.au