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Volume 11
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10.3390/foods11142042
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Article

Discrimination of Black and White Sesame Seeds Based on Targeted and Non-Targeted Platforms with Chemometrics: From Profiling towards Identification of Chemical Markers

by
Si Mi
,
Yuhang Wang
,
Xiangnan Zhang
,
Yaxin Sang
and
Xianghong Wang
*
College of Food Science and Technology, Hebei Agricultural University, Baoding 071000, China
*
Author to whom correspondence should be addressed.
Foods 2022, 11(14), 2042; https://doi.org/10.3390/foods11142042
Submission received: 14 June 2022 / Revised: 4 July 2022 / Accepted: 5 July 2022 / Published: 11 July 2022
(This article belongs to the Section Foodomics)
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Abstract

The present study was conducted to clarify the differences in the multi-element, volatile organic compound, fatty acid, and metabolite fingerprints between black and white sesame seeds. A total of 53 chemical elements, 32 volatile flavor compounds, 40 fatty acids, and 283 metabolites were identified and evaluated in the two groups of sesame seeds. Univariate and multivariate statistics indicated a distinct separation between the two groups of sesame seeds. A panel of 16 chemical elements, 3 volatile compounds, 8 individual fatty acids, and 54 metabolites with p value < 0.05 and variable importance in projection score > 1 were selected as the most important discriminants for the two types of sesame seeds. Overall, these data reveal the influence of genotype on the chemical composition of sesame seeds. Our findings also demonstrate that the hybrid model of instrumental analysis and chemometrics is feasible for the discrimination of black and white sesame seeds.
Keywords: multi-element; volatiles; fatty acids; metabolomics; sesame seeds multi-element; volatiles; fatty acids; metabolomics; sesame seeds

Share and Cite

MDPI and ACS Style

Mi, S.; Wang, Y.; Zhang, X.; Sang, Y.; Wang, X. Discrimination of Black and White Sesame Seeds Based on Targeted and Non-Targeted Platforms with Chemometrics: From Profiling towards Identification of Chemical Markers. Foods 2022, 11, 2042. https://doi.org/10.3390/foods11142042

AMA Style

Mi S, Wang Y, Zhang X, Sang Y, Wang X. Discrimination of Black and White Sesame Seeds Based on Targeted and Non-Targeted Platforms with Chemometrics: From Profiling towards Identification of Chemical Markers. Foods. 2022; 11(14):2042. https://doi.org/10.3390/foods11142042

Chicago/Turabian Style

Mi, Si, Yuhang Wang, Xiangnan Zhang, Yaxin Sang, and Xianghong Wang. 2022. "Discrimination of Black and White Sesame Seeds Based on Targeted and Non-Targeted Platforms with Chemometrics: From Profiling towards Identification of Chemical Markers" Foods 11, no. 14: 2042. https://doi.org/10.3390/foods11142042

APA Style

Mi, S., Wang, Y., Zhang, X., Sang, Y., & Wang, X. (2022). Discrimination of Black and White Sesame Seeds Based on Targeted and Non-Targeted Platforms with Chemometrics: From Profiling towards Identification of Chemical Markers. Foods, 11(14), 2042. https://doi.org/10.3390/foods11142042

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