A review on the use of near infrared spectroscopy for plant analysis Cozzolino Daniel | Dr. Daniel Cozzolino is a Senior Research Scientist at the Australian Wine Research Institute based in Adelaide, South Australia, a research organization that conducts strategic and applied research for the Australian wine industry. He is the Team leader of a group that is investigating applications of rapid methods (Visible, NIR, MIR, UV) in grapes and wines, in collaboration with several industry companies. He graduated from the Universidad de la Republica (Montevideo, Uruguay) as an Agricultural Engineer in 1989 and obtained his PhD from the University of Aberdeen (Aberdeen, Scotland) in 1998. He has published more than 90 papers in refereed journals on the application of NIR spectroscopy to a diverse range of agricultural materials and commodities. Since join the AWRI in July 2002, he has focussed his research in applications of spectroscopy and chemometrics in the wine industry. |
The Australian Wine Research Institute, Waite Campus, PO Box 197, Urrbrae, 5064, Australia. E-mail: daniel.cozzolino@awri.com.au
Abbreviations ANN | = | artificial neural network; |
DA | = | discriminant analysis; |
FT-NIR | = | Fourier transform near infrared; |
HPLC | = | high performance liquid chromatography; |
LC | = | liquid chromatography; |
MLR | = | multiple linear regression; |
NIR | = | near infrared reflectance; |
PCA | = | principal component analysis; |
PCR | = | principal component regression; |
PLS | = | partial least squares; |
SECV | = | standard error of cross validation; |
SEP | = | standard error of prediction; |
RPD | = | residual predictive deviation; |
R2 | = | coefficient of determination; |
RMSECV | = | root mean square error of cross validation; |
RMSEP | = | root mean square error of prediction; |
Abstract Medicinal plant 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, chromatographic and spectrometric techniques such as high performance liquid chromatography (HPLC), gas chromatography (GC), liquid chromatography (LC) and mass spectrometry (MS) were initially focused for the elucidation of isolated compounds from different plant matrices. In the last 40 years near infrared (NIR) spectroscopy became one of the most attractive and used methods of analysis which provides simultaneous, rapid and non-destructive quantitation of major components (e.g. protein, dry matter, carbohydrates) in many agriculture related products and plant materials. More recently, the use of NIR spectroscopy has been reported to determine other minor compounds in plant materials. This paper reviews recent applications on the use of NIR spectroscopy to quantitatively analyse plant natural products. Top Keywords Near infrared spectroscopy, natural products, chemometrics, quantitative analysis. Top |