Application of Band-Selective HSQC NMR in Species Discrimination and Adulteration Identification of Panax Linn

The quality of products available in the market is threatened by adulteration with different species, such as ( ), ( ), and ( ). In this paper, we established a 2D band-selective heteronuclear single quantum coherence (bs-HSQC) NMR method to discriminate species and detect adulteration of . The meth...

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Bibliographic Details
Published in:Molecules (Basel, Switzerland) Switzerland), 2023-05, Vol.28 (11), p.4332
Main Authors: Guo, Congcong, Dong, Jiyang, Deng, Lingli, Cheng, Kiankai, Xu, Yue, Zhu, Haowen, Deng, Anjun, Zhou, Xia, Qin, Hailin, Wang, Yinghong
Format: Article
Language:English
Subjects:
Adulterants
adulteration identification
Carbon
Chromatography
Coherence
Composition
Food quality
heteronuclear single quantum coherence
High resolution
identification of Panax Linn
NMR
Nuclear magnetic resonance
Panax
Quality control
Quantum phenomena
Resonance
Saponins
selective excitation
Spectra
Statistical analysis
Statistical methods
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Summary:The quality of products available in the market is threatened by adulteration with different species, such as ( ), ( ), and ( ). In this paper, we established a 2D band-selective heteronuclear single quantum coherence (bs-HSQC) NMR method to discriminate species and detect adulteration of . The method involves selective excitation of the anomeric carbon resonance region of saponins and non-uniform sampling (NUS) to obtain high-resolution spectra in less than 10 min. The combined strategy overcomes the signal overlap limitation in H NMR and the long acquisition time in traditional HSQC. The present results showed that twelve well-separated resonance peaks can be assigned in the bs-HSQC spectra, which are of high resolution, good repeatability, and precision. Notably, the identification accuracy of species was found to be 100% for all tests conducted in the present study. Furthermore, in combination with multivariate statistical methods, the proposed method can effectively determine the composition proportion of adulterants (from 10% to 90%). Based on the PLS-DA models, the identification accuracy was greater than 80% when composition proportion of adulterants was 10%. Thus, the proposed method may provide a fast, practical, and effective analysis technique for food quality control or authenticity identification.
ISSN:1420-3049
1420-3049
DOI:10.3390/molecules28114332