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Determining the geographical origin of common buckwheat from China by multivariate analysis based on mineral elements, amino acids and vitamins

This study aimed to establish a method for distinguishing the geographical origin of common buckwheat from Inner Mongolia, Shanxi and Shaanxi Provinces in China. Three chemical families including mineral elements, vitamins and amino acids of 48 samples from different geographical origins were analyz... Full description

Journal Title: Sci Rep 2017, Vol.7(1), pp.9696-9696
Main Author: Zhang, Qiang
Other Authors: Xu, Jian-Guo
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 2045-2322 ; DOI: 10.1038/s41598-017-08808-y
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recordid: palgrave_j10.1038/s41598-017-08808-y
title: Determining the geographical origin of common buckwheat from China by multivariate analysis based on mineral elements, amino acids and vitamins
format: Article
creator:
  • Zhang, Qiang
  • Xu, Jian-Guo
subjects:
  • Biology
ispartof: Sci Rep, 2017, Vol.7(1), pp.9696-9696
description: This study aimed to establish a method for distinguishing the geographical origin of common buckwheat from Inner Mongolia, Shanxi and Shaanxi Provinces in China. Three chemical families including mineral elements, vitamins and amino acids of 48 samples from different geographical origins were analyzed by principal component analysis (PCA), cluster analysis (CA) and linear discriminate analysis (LDA) for this purpose. LDA clearly discriminated the geographical origin of common buckwheat samples grown in three regions, and gave a high correct classification rate of 95.8% and satisfactory cross-validation rate of 91.7%. Some variables (Mn, VPP, Se, Gly, Cu, Asp, Fe, and Ala) significantly contributed to the ability to discriminate the geographical origin of the common buckwheat. These results demonstrated that the proposed method is a powerful tool for controlling the geographical origin of common buckwheat by governmental administration and protecting consumers from improper domestic labeling. However, the discriminant method still needs to be further validated using more reliable data.
language: eng
source:
identifier: ISSN: 2045-2322 ; DOI: 10.1038/s41598-017-08808-y
fulltext: fulltext
issn:
  • 2045-2322
  • 20452322
url: Link


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titleDetermining the geographical origin of common buckwheat from China by multivariate analysis based on mineral elements, amino acids and vitamins
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descriptionThis study aimed to establish a method for distinguishing the geographical origin of common buckwheat from Inner Mongolia, Shanxi and Shaanxi Provinces in China. Three chemical families including mineral elements, vitamins and amino acids of 48 samples from different geographical origins were analyzed by principal component analysis (PCA), cluster analysis (CA) and linear discriminate analysis (LDA) for this purpose. LDA clearly discriminated the geographical origin of common buckwheat samples grown in three regions, and gave a high correct classification rate of 95.8% and satisfactory cross-validation rate of 91.7%. Some variables (Mn, VPP, Se, Gly, Cu, Asp, Fe, and Ala) significantly contributed to the ability to discriminate the geographical origin of the common buckwheat. These results demonstrated that the proposed method is a powerful tool for controlling the geographical origin of common buckwheat by governmental administration and protecting consumers from improper domestic labeling. However, the discriminant method still needs to be further validated using more reliable data.
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abstractThis study aimed to establish a method for distinguishing the geographical origin of common buckwheat from Inner Mongolia, Shanxi and Shaanxi Provinces in China. Three chemical families including mineral elements, vitamins and amino acids of 48 samples from different geographical origins were analyzed by principal component analysis (PCA), cluster analysis (CA) and linear discriminate analysis (LDA) for this purpose. LDA clearly discriminated the geographical origin of common buckwheat samples grown in three regions, and gave a high correct classification rate of 95.8% and satisfactory cross-validation rate of 91.7%. Some variables (Mn, VPP, Se, Gly, Cu, Asp, Fe, and Ala) significantly contributed to the ability to discriminate the geographical origin of the common buckwheat. These results demonstrated that the proposed method is a powerful tool for controlling the geographical origin of common buckwheat by governmental administration and protecting consumers from improper domestic labeling. However, the discriminant method still needs to be further validated using more reliable data.
pubNature Publishing Group UK
doi10.1038/s41598-017-08808-y
pages1-8
date2017-12