烟草香料,一种重要的烟草添加剂,是卷烟生产中必不可少的原料,可以有效提高烟草产品质量,添加香气和味道,并增加吸力。烟用香精的质量一致性影响品牌卷烟的质量稳定性。因此,烟草香料的质量控制是卷烟和香料制造商关注的主要问题。物理和化学指标,气味相似性,和感官功效来评价烟草香料的质量,烟用香精的化学成分分析通常采用气相色谱法(GC)和高效液相色谱法(HPLC)。然而,因为烟草香料的成分很复杂,使用单个组件或组件组合无法充分反映其质量。因此,建立客观的烟用香精质量控制分析方法具有极其重要的意义。色谱指纹分析通常用于烟草香料的判别分析。色谱指纹是指不同化合物的浓度分布的一般特征。在日常采购过程中,气相色谱和高效液相色谱法建立的指纹图谱可有效地评价和鉴别烟草香精。然而,鉴于香气模仿技术的不断改进,一些相似度较高的风味不能用现有方法直接区分。在这项研究中,为保证烟用香精质量的一致性,建立了基于离子色谱(IC)的烟用香精中有机酸和无机阴离子的测定方法。将1.0g烟草香料样品和10mL去离子水混合并振动30分钟。使样品水溶液连续通过0.45μm膜滤器和RP预处理柱以消除干扰,然后进行IC处理。使用含有9种有机酸和7种无机阴离子的标准溶液来鉴定烟草香料中的阴离子,并获得了令人满意的重现性。保留时间和峰面积的相对标准偏差(RSD)分别为<0.71%和<6.02%,分别。获得了来自五个不同批次的四种烟草香料(样品A-D)的色谱指纹图谱。还分析了来自不同制造商的9种烟草香料样品(样品AY1-AY3,BY1-BY2,CY1-CY2,DY1-DY2),以获得其色谱指纹图谱。采用层次聚类和相似性分析对不同厂家烟用香精的质量进行评价。分层聚类是指将一组样本细分为表现出高度的簇内相似性和簇间相异性的簇的过程。使用SPSS12.0获得的树状图表明不同批次的样品之间具有良好的质量一致性。样品AY3、BY2、CY2和DY1与标准烟草香料的批次成簇。因此,层次聚类分析可以有效区分不同厂家的产品质量。采用中药色谱指纹图谱相似性评价系统(2.0版)对标准烟用香精与不同厂家产品的相似性进行评价。在分析的样本中,样品AY3、BY2、CY2和DY1表现出最高的相似值(>97.7%),这与层次聚类分析的结果一致。这一发现表明,IC结合色谱指纹图谱分析可以准确地确定烟草香精的质量。采用气相色谱法结合超声辅助液-液萃取对烟用香精进行分析,验证了方法的准确性。与GC-超声辅助液-液萃取相比较,IC在某些烟草香料之间表现出更显著的质量差异。
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.