Fourier transform mid-infrared spectroscopy and chemometrics to identify and discriminate Boletus edulis and Boletus tomentipes mushrooms
Fourier transform mid-infrared spectroscopy and chemometrics to identify and discriminate Boletus edulis and Boletus tomentipes mushrooms
复制标题
傅里叶变换中红外光谱和化学计量学识别和区分美味牛肝菌和毛牛肝菌蘑菇
DOI：
10.1080/10942912.2017.1289387
复制
发表时间：
2017
影响因子：
2.9
通讯作者：
Wang Yuanzhong
中科院分区：
文献类型：
--
作者：
Qi Luming;Zhang Ji;Liu Honggao;Li Tao;Wang Yuanzhong
摘要美味牛肝菌和毛柄牛肝菌是云南省两种著名的食用菌，具有很高的营养价值和药用价值。傅里叶变换中红外光谱法与化学计量学相结合，可以确定样品的专属光谱指纹，进而分析样品的质量。本研究对B. edulis和B.基于傅立叶变换中红外光谱和化学计量学对不同地理位置的毛柄菇进行了分析。主成分分析，层次聚类分析，偏最小二乘判别分析，使我们能够识别和区分蘑菇样品，根据其独特的代谢光谱指纹。选择1800-400 cm-1的范围进行下一步分析，该范围显示出蘑菇样品的主要特征。无监督主成分分析和系统聚类分析结果表明，不同地理位置的蘑菇样品可以有效地进行鉴别。基于所建立的校正模型，采用监督偏最小二乘判别分析方法对未知蘑菇样品进行了预测。结果表明，傅立叶变换中红外光谱技术结合化学计量学方法可作为B的快速有效的质量控制手段。edulis和B.毛柄菇与它们的地理位置有关。此外，该技术也可以应用于其他蘑菇物种的这一目的时，结合合理的化学计量学。
ABSTRACT 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.