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J Food Sci Technol. 2018 Sep;55(9):3518-3525. doi: 10.1007/s13197-018-3276-x. Epub 2018 Jul 19.

Rapid detection of adulteration in Anoectochilus roxburghii by near-infrared spectroscopy coupled with chemometric methods.

Author information

1
1State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300 China.
2
Zhejiang Research Institute of Traditional Chinese Medicine Co., Ltd., Hangzhou, 310023 China.
3
2Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014 China.
4
Wenzhou Academy of Agricultural Sciences, Wenzhou, 325006 China.

Abstract

To determine the authenticity of Anoectochilus roxburghii, this study presents an application of near-infrared spectroscopy and chemometric methods for evaluating adulteration of A. roxburghii with two cheaper adulterants, i.e. C. Goodyera schlechtendaliana and Ludisia discolor. Partial least squares discriminant analysis models were built for the accurate classification of authentic A. roxburghii and A. roxburghii adulterated at 5-100% (w/w) levels. Partial least squares regression models were used to predict the level of adulteration in the A. roxburghii. After by compared different spectral pretreatment methods, and using interval PLS and synergy interval PLS for variable selection, optimum models were developed. These results show that the NIR spectroscopy combined with chemometric methods offers a simple, fast, and reliable method for classifying and quantifying the adulteration of A. roxburghii.

KEYWORDS:

Anoectochilus roxburghii; Chemometric methods; Near-infrared spectroscopy; Partial least squares discriminant analysis; Synergy interval partial least squares regression

PMID:
30150810
PMCID:
PMC6098785
[Available on 2019-09-01]
DOI:
10.1007/s13197-018-3276-x

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