云南省农业科学院机构知识库

Fourier transform mid-infrared spectroscopy and chemometrics to identify and discriminate Boletus edulis and Boletus tomentipes mushrooms

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文献类型：外文期刊

作者： Qi, Lu-Ming ¹ ; Zhang, Ji ¹ ; Liu, Hong-Gao ³ ; Li, Tao ⁴ ; Wang, Yuan-Zhong ¹ ;

作者机构： 1.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650200, Yunnan, Peoples R China

2.Yunnan Univ Tradit Chinese Med, Coll Tradit Chinese Med, Kunming, Yunnan, Peoples R China

3.Yunnan Agr Univ, Coll Agron & Biotechnol, Kunming, Yunnan, Peoples R China

4.Yuxi Normal Univ, Coll Resources & Environm, Yuxi 653100, Peoples R China

关键词： Boletus edulis;Boletus tomentipes;Chemometrics;Fourier transform mid-infrared spectroscopy;Quality control

期刊名称：INTERNATIONAL JOURNAL OF FOOD PROPERTIES （影响因子：2.727；五年影响因子：2.938 ）

ISSN： 1094-2912

年卷期： 2017 年 20 卷

页码：

收录情况： SCI

摘要： Boletus edulis and Boletus tomentipes are two well-known mushroom species which are widely consumed in Yunnan province due to their high nutritional and medicinal values. Fourier transform mid-infrared spectroscopy can determine exclusive spectra fingerprint of a sample and further analyse its quality when combined with appropriate chemometrics. In this study, identification and discrimination of B. edulis and B. tomentipes mushrooms from different geographical locations were performed based on Fourier transform mid-infrared spectroscopy and chemometrics. Principal component analysis, hierarchical cluster analysis, and partial least squares discriminant analysis allowed us to identify and discriminate mushroom samples depending on their unique metabolic spectral fingerprints. The range of 1800-400 cm(-1), which exhibited major characteristics of mushroom samples was selected for next analysis. The unsupervised principal component analysis and hierarchical cluster analysis showed that mushroom samples from different geographical locations could be effectively identified. Furthermore, the supervised partial least squares discriminant analysis method was used to predict unknown mushroom samples successfully based on developed calibration model. In conclusion, these results indicated that Fourier transform mid-infrared technique combined with appropriate chemometrics can be used as an effective and rapid strategy for quality control of B. edulis and B. tomentipes mushrooms with respect to their geographical locations. In addition, this technique also can be applied in other mushroom species for this purpose when coupled with reasonable chemometrics.

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Fourier transform mid-infrared spectroscopy and chemometrics to identify and discriminate Boletus edulis and Boletus tomentipes mushrooms

作者其他论文更多>>

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意见箱

Fourier transform mid-infrared spectroscopy and chemometrics to identify and discriminate Boletus edulis and Boletus tomentipes mushrooms

作者其他论文 更多>>

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Applications of chemical fingerprints and machine learning in plant ecology: Recent progress and future perspectives

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意 见 箱

作者其他论文更多>>

意见箱