Analysing differences in volatile organic compounds between purple-brown and yellow-brown Ziziphi Spinosae Semen based on HS-GC-IMS technology
10.19778/j.chp.2026.01.005
- VernacularTitle:基于HS-GC-IMS技术解析紫褐色和黄棕色酸枣仁挥发性有机物的差异性
- Author:
DUAN Xiao
;
KANG Bingtao
;
ZHAO Fan
;
YAN Yonggang
;
ZHANG Gang
;
PENG Liang
- Publication Type:Journal Article
- Keywords:
Ziziphi Spinosae Semen;
headspace-gas chromatography-ion mobility spectrometry;
volatile organic compounds;
chemometrics
- From:
Drug Standards of China
2026;27(1):0028-0036
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To systematically compare the types and contents of volatile organic compounds (VOCs) in purplish-brown and yellow-brown Ziziphi Spinosae Semen, and to provide a scientific basis for their rapid identification and quality evaluation.
Methods: Headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) was employed to determine the VOCs in two colored samples. GC-IMS spectra and fingerprint profiles were established, and chemometric methods including principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to visualize the differences in volatile components.
Results: A total of 44 VOCs were identified, including 1 aldehyde, 9 esters, 10 ketones, 2 enals, 14 alcohols, 3 acids, 2 furans, 1 disulfide, and 2 hydrocarbons. Alcohols and esters were the main volatile components. The fingerprint profiles showed high consistency within groups but significant differences between groups. Both PCA and PLS-DA effectively distinguished the two sample types. Compounds such as pentanol, methyl butyrate, 2-ethylfuran, 2-hexanol, and 2-methylpropenal were identified as key markers for differentiation.
Conclusion: HS-GC-IMS combined with chemometrics accurately distinguishes the volatile compounds of Ziziphi Spinosae Semen with different colors. This method is rapid, sensitive, and suitable for quality control and rapid authentication of Ziziphi Spinosae Semen.
- Full text:20260629110444418320260205.pdf
