Evidence map›Paper›PMID 39086250›Full record

ArticleSe pu = Chinese journal of chromatography2024

[Application of ion chromatographic fingerprint analysis for quality evaluation of tobacco flavors].

Gao-Yan Xu, Xin-Ying He, Li-Na Zhang, Chong-Sheng Liu, Yang Gao, Zhong-Ping Huang, Hui-Jun Liu, Zhao-Ming Wu, Rui-Chao Zhang, Hong Shi

Abstract read
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Article in Se pu = Chinese journal of chromatography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Gao-Yan XuTechnical Center, China Tobacco Zhejiang Industry Co., Ltd., Hangzhou 310008, China.
Xin-Ying HeCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Li-Na ZhangTechnical Center, China Tobacco Zhejiang Industry Co., Ltd., Hangzhou 310008, China.
Chong-Sheng LiuTechnical Center, China Tobacco Zhejiang Industry Co., Ltd., Hangzhou 310008, China.
Yang GaoTechnical Center, China Tobacco Zhejiang Industry Co., Ltd., Hangzhou 310008, China.
Zhong-Ping HuangCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Hui-Jun LiuCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Zhao-Ming WuTechnical Center, China Tobacco Zhejiang Industry Co., Ltd., Hangzhou 310008, China.
Rui-Chao ZhangTechnical Center, China Tobacco Zhejiang Industry Co., Ltd., Hangzhou 310008, China.
Hong ShiTechnical Center, China Tobacco Zhejiang Industry Co., Ltd., Hangzhou 310008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tobacco flavor, an important tobacco additive, is an essential raw material in cigarette production that can effectively improve the quality of tobacco products, add aroma and taste, and increase the suction flavor. The quality consistency of tobacco flavors affects the quality stability of branded cigarettes. Therefore, the quality control of tobacco flavors is a major concern for cigarette and flavor manufacturers. Physical and chemical indices, odor similarity, and sensory efficacy are employed to evaluate the quality of tobacco flavors, and the analysis of chemical components in tobacco flavors is usually conducted using gas chromatography (GC) and high performance liquid chromatography (HPLC). However, because the composition of tobacco flavors is complex, their quality cannot be fully reflected using a single component or combination of components. Therefore, establishing an objective analytical method for the quality control of tobacco flavors is of extreme importance. Chromatographic fingerprint analysis is routinely used for the discriminative analysis of tobacco flavors. Chromatographic fingerprints refer to the general characteristics of the concentration profiles of different chemical compounds. In the daily procurement process, fingerprints established by GC and HPLC are effective for the evaluation and identification of tobacco flavors. However, given continuous improvements in aroma-imitation technology, some flavors with high similarity cannot be directly distinguished using existing methods. In this study, a method for the determination of organic acids and inorganic anions in tobacco flavors based on ion chromatography (IC) was developed to ensure the quality consistency of tobacco flavors. A 1.0 g sample of tobacco flavors and 10 mL of deionized water were mixed and vibrated for 30 min. The aqueous sample solution was passed through a 0.45 μm membrane filter and RP pretreatment column in succession to eliminate interferences and then subjected to IC. Standard solutions containing nine organic acids and seven inorganic anions were used to identify the anions in the tobacco flavors, and satisfactory reproducibility was obtained. The relative standard deviations (RSDs) for retention times and peak areas were <0.71% and <6.02%, respectively. The chromatographic fingerprints of four types of tobacco flavors (samples A-D) from five different batches were obtained. Nine tobacco flavor samples from different manufacturers (samples AY1-AY3, BY1-BY2, CY1-CY2, DY1-DY2) were also analyzed to obtain their chromatographic fingerprints. Hierarchical cluster and similarity analyses were used to evaluate the quality of tobacco flavors from different manufacturers. Hierarchical clustering refers to the process of subdividing a group of samples into clusters that exhibit a high degree of intracluster similarity and intercluster dissimilarity. The dendrograms obtained using SPSS 12.0 indicated good quality consistency among the samples in different batches. Samples AY3, BY2, CY2, and DY1 clustered with the batches of standard tobacco flavors. Therefore, hierarchical cluster analysis can effectively distinguish the quality of products from different manufacturers. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine (version 2.0) was used to evaluate the similarity between the standard tobacco flavors and products from different manufacturers. Among the samples analyzed, samples AY3, BY2, CY2, and DY1 showed the highest similarity values (>97.7%), which was consistent with the results of the hierarchical cluster analysis. This finding indicates that IC combined with chromatographic fingerprint analysis could accurately determine the quality of tobacco flavors. GC combined with ultrasonic-assisted liquid-liquid extraction was also used to analyze the tobacco flavors and verify the accuracy of the proposed method. Compared with GC coupled with ultrasonic-assisted liquid-liquid extraction, IC demonstrated more significant quality differences among certain tobacco flavors.

Indexed as

Quality ControlChromatography, GasChromatography, High Pressure LiquidChromatography, Ion ExchangeFlavoring AgentsTobacco ProductsFlavoring Agentschromatographic fingerprinthierarchical cluster analysision chromatography (IC)similarity analysistobacco flavors

Identifiers

PMID39086250
PMCPMC11292599

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.