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Analysis and Detection | Publishing Language: Chinese | Open Access

Identification of edible alcohol adulteration in sauce-flavor Baijiu based on ASAP-TOF MS technique

Ji ZHANGRui HOUBingxue ZHANGYan CHENLei LING
Zunyi Institute of Product Quality Inspection and Testing, Zunyi 563099, China
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Abstract

Based on the atmospheric pressure solid state analysis probe (ASAP)-time-of-flight mass spectrometer (TOF), a method was established for the identification of the adulteration of edible alcohol (Shenggou and Shuchuan liquor) in sauce-flavor (Jiangxiangxing) Baijiu. The sample collection conditions were optimized, and the discriminant model was established by principal component analysis (PCA) combined with linear discriminant analysis (LDA). The results of sensory evaluation and model recognition of wine samples were compared. The results showed that the optimal test conditions were as follows: corona voltage 3 V; desolvent temperature 500 ℃; probe temperature 600 ℃; desolvent gas flow rate 1100 L/h; cone hole voltage 30 V. Under these conditions, the signal response value of sauce-flavor Baijiu was high, uniform and stable. The response signal of Shenggou Baijiu was low and close to the baseline. The response signal of Shuchuan Baijiu was slightly lower and unstable. PCA combined with LDA can effectively distinguish different liquor samples. This method showed that the identification correct rate of sauce-flavor Baijiu and alcoholic liquor (Shenggou and Shuchuan liquor) was 95% and 97%, respectively, and it was basically consistent with the verification result of sensory evaluation.

CLC number: O657.63;TS262.3 Article ID: 0254-5071(2024)07-0233-05

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China Brewing
Pages 233-237

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Cite this article:
ZHANG J, HOU R, ZHANG B, et al. Identification of edible alcohol adulteration in sauce-flavor Baijiu based on ASAP-TOF MS technique. China Brewing, 2024, 43(7): 233-237. https://doi.org/10.11882/j.issn.0254-5071.2024.07.035

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Received: 30 October 2023
Revised: 18 March 2024
Published: 25 July 2024
© Beijing Academy of Food Sciences 2024.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).