A field trials-based authentication study of conventionally and organically grown Chinese yams using light stable isotopes and multi-elemental analysis combined with machine learning algorithms

Lyu, Chao-Geng; Yang, Jian; Wang, Tielin; Kang, Chuan-Zhi; Wang, Sheng; Wang, Hongyang; Wan, Xiu-Fu; Zhou, Li; Zhang, Wenjin; Huang, Luqi; Guo, Lan-Ping

doi:10.1016/j.foodchem.2020.128506

Cited by 22 publications

(27 citation statements)

References 31 publications

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“…Specifically, the AUC values of SVM, RF, and GB models all reached 1.00. For an ideal classifier, the AUC value is usually close to 1.00 ( Lyu et al, 2021 ), indicating that three models (SVM, RF, and GB) attained optimal operation in this work. Accuracy is another metric used to evaluate the performance of these models, usually, 20–30 % of the total samples are selected as the test samples to validate the training set and derive the discriminative accuracy.…”

Section: Resultsmentioning

confidence: 74%

Rapid detection of adulteration in powder of ginger (Zingiber officinale Roscoe) by FT-NIR spectroscopy combined with chemometrics

Guo

Zhang

et al. 2022

Food Chemistry: X

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Section: Resultsmentioning

confidence: 74%

Rapid detection of adulteration in powder of ginger (Zingiber officinale Roscoe) by FT-NIR spectroscopy combined with chemometrics

Guo

Zhang

et al. 2022

Food Chemistry: X

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“…Principal component analysis (PCA) and orthogonal partial least squared discriminant analysis (OPLS-DA) were conducted to evaluate the differences in chemical profiles of groups using the EZinfo software 3.0 (Version 3.0; Waters Co., Milford, MA), all the data is taken logarithmically (Lyu et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Spatial metabolomics reveals potential biomarkers for red secretory cavities in Atractylodes lancea natural accessions

Jiang

Liu

et al. 2022

Preprint

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Atractylodes lancea, known as Cangzhu in Chinese , has been widely used in the traditional Chinese medicine (TCM). The colour of secretory cavity (SC) at Atractylodis Rhizoma (AR) differs greatly among geographic origins and cinnabar-like red SCs of AR is considered of high quality in TCM. However, chemical basis underlying this colour variation across natural accessions and within plant tissues are largely unknown, impeding implications of efficacy of cinnabar-like spots for Cangzhu in TCM. Here, we carried out laser capture microdissection (LCM) based metabolomics on three A. lancea natural accessions with distinct AR colour patterns. Multivariate statistics across various SC types identified three polyacetylenes significantly associated with the red SCs of AR. Mass spectrometry imaging (MSI) further indicated that they are likely the causal compounds underlying the cinnabar-like colour of SCs in A. lancea. We thus provide a clear example of using spatial metabolomics to reveal key metabolite markers associated with important pharmaceutical properties by using very limited number of natural accessions in a non-model plant. It will further guide the elucidation of biosynthetic pathways for polyacetylenes in herbaceous plant A. lancea.

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“…In China, yam is a typical food and medicine agricultural product. It is not only a common vegetable, often used for fresh eating, fresh stir-fry, steaming, making vermicelli, and potato chips, but also a traditional Chinese medicine which can invigorate the spleen and stomach, beneft the lung, generate saliva, and beneft the kidney [1]. Yam contains many nutrient metabolites which include starch, polysaccharide, and protein [2].…”

Section: Introductionmentioning

confidence: 99%

Rapid and Nondestructive Identification of Origin and Index Component Contents of Tiegun Yam Based on Hyperspectral Imaging and Chemometric Method

Zhang

Zhou

et al. 2023

Journal of Food Quality

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Tiegun yam is a typical food and medicine agricultural product, which has the effects of nourishing the kidney and benefitting the lungs. The quality and price of Tiegun yam are affected by its origin, and counterfeiting and adulteration are common. Therefore, it is necessary to establish a method to identify the origin and index component contents of Tiegun yam. Hyperspectral imaging combined with chemometrics was used, for the first time, to explore and implement the identification of origin and index component contents of Tiegun yam. The origin identification models were established by partial least squares-discriminant analysis (PLS-DA), support vector machine (SVM), and random forest (RF) using full wavelength and feature wavelength. Compared with other models, MSC-PLS-DA is the best model, and the accuracy of the training set and prediction set is 100% and 98.40%. Partial least squares regression (PLSR), random forest (RF), and support vector regression (SVR) models were used to predict the contents of starch, polysaccharide, and protein in Tiegun yam powder. The optimal residual predictive deviation (RPD) values of starch, polysaccharide, and protein prediction models selected in this study were 5.21, 3.21, and 2.94, respectively. The characteristic wavelength extracted by the successive projections algorithm (SPA) method can achieve similar results as the full-wavelength model. These results confirmed the application of hyperspectral imaging (HSI) in the identification of the origin and the rapid nondestructive prediction of starch, polysaccharide, and protein contents of Tiegun yam powder. Therefore, the HSI combined with the chemometric method was available for conveniently and accurately determining the origin and index component contents of Tiegun yam, which can expect to be an attractive alternative method for identifying the origin of other food.

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A field trials-based authentication study of conventionally and organically grown Chinese yams using light stable isotopes and multi-elemental analysis combined with machine learning algorithms

Cited by 22 publications

References 31 publications

Rapid detection of adulteration in powder of ginger (Zingiber officinale Roscoe) by FT-NIR spectroscopy combined with chemometrics

Rapid detection of adulteration in powder of ginger (Zingiber officinale Roscoe) by FT-NIR spectroscopy combined with chemometrics

Spatial metabolomics reveals potential biomarkers for red secretory cavities in Atractylodes lancea natural accessions

Rapid and Nondestructive Identification of Origin and Index Component Contents of Tiegun Yam Based on Hyperspectral Imaging and Chemometric Method

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