2006
DOI: 10.1016/j.vibspec.2005.12.012
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The classification of Phyllanthus niruri Linn. according to location by infrared spectroscopy

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Cited by 22 publications
(19 citation statements)
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“…The potential of using vibrational spectroscopy, namely attenuated total reflectance-fourier transform infra-red (ATR-FTIR), Fourier transform-Raman (FT-Raman), mid-infra-red (MIR) and near infra-red (NIR) spectroscopy for the quality control of many herbs has been investigated and well documented (Dharmaraj et al, 2006;Vlachos et al, 2006;Kokalj et al, 2011). Infra-red spectroscopy has been used efficiently to distinguish different species/chemotypes of various plants and to predict the content of valuable plant substances, especially in teas and other herbs.…”
Section: Infra-red Spectroscopymentioning
confidence: 99%
See 1 more Smart Citation
“…The potential of using vibrational spectroscopy, namely attenuated total reflectance-fourier transform infra-red (ATR-FTIR), Fourier transform-Raman (FT-Raman), mid-infra-red (MIR) and near infra-red (NIR) spectroscopy for the quality control of many herbs has been investigated and well documented (Dharmaraj et al, 2006;Vlachos et al, 2006;Kokalj et al, 2011). Infra-red spectroscopy has been used efficiently to distinguish different species/chemotypes of various plants and to predict the content of valuable plant substances, especially in teas and other herbs.…”
Section: Infra-red Spectroscopymentioning
confidence: 99%
“…Cluster analysis grouped the samples into four main clusters and the best results were obtained using Raman spectroscopic analysis (Mao and Xu, 2006). A combination of FT-IR with PCA, SIMCA and LDA was applied to the classification of Phyllanthus niruri according to geographical location or variety, where the best discriminatory approach was obtained by LDA (Dharmaraj et al, 2006). As mentioned previously, PLS has been used in many studies to predict the active constituents, the content of caffeine and total polyphenols in tea, and SIMCA has been used to identify tea varieties from different origins (Chen et al, 2006b).…”
Section: Infra-red Spectroscopymentioning
confidence: 99%
“…For example, chemometric techniques applied to bacterial taxonomy[108] and geographical sourcing of medicinal plants[109] was aided through the classification of data into groups via related strategies. Chemometric characterization of aerosol bacteria by LIF has also utilized various approaches including principal component analysis, linear discriminant analysis and hierarchical cluster analysis to classify the microorganisms according to family, morphology and gram-test [110].…”
Section: Bioaerosols Analysis and Pattern Recognition Strategies: mentioning
confidence: 99%
“…2005), the forensic characterization of printer toners (Egan et al . 2003), geographical sourcing of medicinal plants (Dharmaraj et al . 2006), forensic identification of fingernails versus toenails (Widjaja and Seah 2006) and the forensic identification of fibre blends (Espinoza et al .…”
Section: Infrared Spectroscopymentioning
confidence: 99%