Near Infrared Spectroscopy in Natural Products Analysis

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.

[1]  M. J. Adams,et al.  Chemometrics in Analytical Spectroscopy , 1995 .

[2]  Hartwig Schulz,et al.  Rapid measurement and evaluation of the effect of drying conditions on harpagoside content in Harpagophytum procumbens (devil's claw) root. , 2005, Journal of agricultural and food chemistry.

[3]  H. Schulz,et al.  Analytical techniques for medicinal and aromatic plants , 2007 .

[4]  Xingyi Huang,et al.  Simultaneous determination of total polyphenols and caffeine contents of green tea by near-infrared reflectance spectroscopy , 2006 .

[5]  Li Wang,et al.  Near-infrared spectroscopy for classification of licorice (Glycyrrhizia uralensis Fisch) and prediction of the glycyrrhizic acid (GA) content , 2007 .

[6]  S. Chan,et al.  Overview on the analytical tools for quality control of natural product-based supplements: a case study of ginseng. , 2005, Assay and drug development technologies.

[7]  Rafael Font,et al.  Quantification of glucosinolates in leaves of leaf rape (Brassica napus ssp. pabularia) by near-infrared spectroscopy. , 2005, Phytochemistry.

[8]  David E. Booth,et al.  Chemometrics: Data Analysis for the Laboratory and Chemical Plant , 2004, Technometrics.

[9]  P. Williams,et al.  Near-Infrared Technology in the Agricultural and Food Industries , 1987 .

[10]  José C Menezes,et al.  Near-infrared reflectance spectroscopy as a process analytical technology tool in Ginkgo biloba extract qualification. , 2008, Journal of pharmaceutical and biomedical analysis.

[11]  Y. Roggo,et al.  A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. , 2007, Journal of pharmaceutical and biomedical analysis.

[12]  Analysis of plant extracts by NIRS: simultaneous determination of kavapyrones and water in dry extracts of Piper methysticum Forst. , 2004, Journal of pharmaceutical and biomedical analysis.

[13]  Y. R. Chen,et al.  HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY , 2001 .

[14]  Quansheng Chen,et al.  Feasibility study on qualitative and quantitative analysis in tea by near infrared spectroscopy with multivariate calibration. , 2006, Analytica chimica acta.

[15]  G. Batten.  Plant analysis using near infrared reflectance spectroscopy : the potential and the limitations , 1998 .

[16]  J. Simon,et al.  Application of near-infrared spectroscopy in quality control and determination of adulteration of African essential oils. , 2006, Phytochemical analysis : PCA.

[17]  Quansheng Chen,et al.  Determination of total polyphenols content in green tea using FT-NIR spectroscopy and different PLS algorithms. , 2008, Journal of pharmaceutical and biomedical analysis.

[18]  Marena Manley,et al.  Quantification of the Major Phenolic Compounds, Soluble Solid Content and Total Antioxidant Activity of Green Rooibos (Aspalathus Linearis) by Means of near Infrared Spectroscopy , 2006 .

[19]  S. Jickells,et al.  Sample Preparation , 2020, X‐Ray Fluorescence Spectroscopy for Laboratory Applications.

[20]  Christophe Cordella,et al.  Recent developments in food characterization and adulteration detection: technique-oriented perspectives. , 2002, Journal of agricultural and food chemistry.

[21]  Eric R. Ziegel,et al.  Tsukuba Meeting: Largest Attendance Ever , 2004, Technometrics.

[22]  I M Williams,et al.  Near infrared spectroscopy , 1994, Anaesthesia.

[23]  M. Forina,et al.  Use of near-infrared spectroscopy and feature selection techniques for predicting the caffeine content and roasting color in roasted coffees. , 2007, Journal of agricultural and food chemistry.

[24]  Karl J. Siebert,et al.  Chemometrics in Brewing—A Review , 2001 .

[25]  Jerry Workman.  Near‐Infrared Spectrophotometers , 2004 .

[26]  S. Hartwig.  Analysis of Coffee, Tea, Cocoa, Tobacco, Spices, Medicinal and Aromatic Plants, and Related Products , 2004 .

[27]  Amaya Zalacain,et al.  Near-infrared spectroscopy in saffron quality control: determination of chemical composition and geographical origin. , 2005, Journal of agricultural and food chemistry.

[28]  J. Hernández-Hierro,et al.  Near-infrared spectroscopy (NIRS) reflectance technology for the determination of tocopherols in alfalfa , 2006, Analytical and bioanalytical chemistry.

[29]  J. A. Throop,et al.  Effects of Storage Duration on Detecting Watercore in Apples Using Machine Vision , 1994 .

[30]  W. Fred McClure,et al.  204 Years of near Infrared Technology: 1800–2003 , 2003 .

[31]  Yong He,et al.  Discriminating varieties of tea plant based on Vis/NIR spectral characteristics and using artificial neural networks , 2008 .

[32]  Albrecht E. Melchinger,et al.  Quality assessment of rapeseed accessions by means of near‐infrared spectroscopy on combine harvesters , 2007 .

[33]  P. Kaufusi,et al.  Determination of kavalactones in dried kava (Piper methysticum) powder using near-infrared reflectance spectroscopy and partial least-squares regression. , 2006, Journal of agricultural and food chemistry.

[34]  G. Ren,et al.  Application of near-infrared reflectance spectroscopy to the evaluation of rutin and D-chiro-Inositol contents in tartary buckwheat. , 2008, Journal of agricultural and food chemistry.

[35]  Rafael Font,et al.  Use of near-infrared spectroscopy for screening the individual and total glucosinolate contents in Indian mustard seed (Brassica juncea L. Czern. & Coss.). , 2004, Journal of agricultural and food chemistry.

[36]  Desire L. Massart,et al.  Feasibility study for the use of near infrared spectroscopy in the qualitative and quantitative analysis of green tea, Camellia sinensis (L.) , 2003 .

[37]  C. Pizarro,et al.  Coffee varietal differentiation based on near infrared spectroscopy. , 2007, Talanta.

[38]  Ioannis S. Arvanitoyannis,et al.  Application of quality control methods for assessing wine authenticity : Use of multivariate analysis (chemometrics) , 1999 .

[39]  Shigehiko Kanaya,et al.  Prediction of Japanese green tea ranking by fourier transform near-infrared reflectance spectroscopy. , 2007, Journal of agricultural and food chemistry.

[40]  G. Edwards‐Jones,et al.  Plant metabolites and nutritional quality of vegetables. , 2008, Journal of food science.

[41]  G. Bearman,et al.  Biological imaging spectroscopy , 2001 .

[42]  M. D. Río-Celestino,et al.  Glucosinolate assessment in Brassica oleracea leaves by near-infrared spectroscopy , 2005, The Journal of Agricultural Science.

[43]  Jerome J. Workman,et al.  Near-infrared spectroscopy in agriculture , 2004 .

[44]  Huirong Xu,et al.  Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: A review , 2008 .

[45]  P. Williams,et al.  Chemical principles of near-infrared technology , 1987 .

[46]  Near infrared spectroscopy as a rapid tool to measure volatile aroma compounds in Riesling wine: possibilities and limits , 2008, Analytical and bioanalytical chemistry.

[47]  Qun Zhou,et al.  Fourier transform mid-infrared (MIR) and near-infrared (NIR) spectroscopy for rapid quality assessment of Chinese medicine preparation Honghua Oil. , 2008, Journal of pharmaceutical and biomedical analysis.

[48]  K. Kim,et al.  Use of Near-Infrared Spectroscopy for Estimating Lignan Glucosides Contents in Intact Sesame Seeds , 2007 .

[49]  Jochen C Reif,et al.  Novel throughput phenotyping platforms in plant genetic studies. , 2007, Trends in plant science.

[50]  Nang Hseng Hom,et al.  Non-destructive analysis of rapeseed quality by NIRS of small seed samples and single seeds , 2006, Euphytica.

[51]  Yong He,et al.  Discrimination of varieties of tea using near infrared spectroscopy by principal component analysis and BP model , 2007 .

[52]  Hartwig Schulz,et al.  Characterization of peppercorn, pepper oil, and pepper oleoresin by vibrational spectroscopy methods. , 2005, Journal of agricultural and food chemistry.

[53]  Robert G. Dambergs,et al.  Analysis of Grapes and Wine by near Infrared Spectroscopy , 2006 .

[54]  Marcelo Blanco,et al.  NIR spectroscopy: a rapid-response analytical tool , 2002 .

[55]  Yves Roggo,et al.  Infrared hyperspectral imaging for qualitative analysis of pharmaceutical solid forms , 2005 .

[56]  Marena Manley,et al.  Use of NIRS for quantification of mangiferin and hesperidin contents of dried green honeybush (Cyclopia genistoides) plant material. , 2006, Journal of agricultural and food chemistry.

[57]  A. Peirs,et al.  Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .

[58]  D. Givens,et al.  Near-infrared (NIR) spectroscopy: an alternative approach for the estimation of forage quality and voluntary intake. , 2000 .

[59]  Shou He Yan,et al.  Evaluation of the Composition and Sensory Properties of Tea Using near Infrared Spectroscopy and Principal Component Analysis , 2005 .

[60]  Xiaohua Zhou,et al.  Determination of Quercetin in Extracts of Ginkgo biloba L. Leaves by Near‐Infrared Reflectance Spectroscopy Based on Interval Partial Least‐Squares (iPLS) Model , 2007 .

[61]  Robert G. Dambergs,et al.  Grape and wine analysis - enhancing the power of spectroscopy with chemometrics: a review of some applications in the Australian wine industry , 2005 .

[62]  Discrimination of Ganoderma lucidum according to geographical origin with near infrared diffuse reflectance spectroscopy and pattern recognition techniques. , 2008, Analytica chimica acta.

[63]  Foo-Tim Chau,et al.  Analysis of berberine and total alkaloid content in cortex phellodendri by near infrared spectroscopy (NIRS) compared with high-performance liquid chromatography coupled with ultra-visible spectrometric detection. , 2007, Analytica chimica acta.