该文采用热重分析(thermogravimetry analysis,TGA)-气相色谱质谱联用(gas chromatography/mass spectrometry, GC/MS)技术结合化学计量学分析软件,建立了各品牌食醋的线性判别分析(linear discriminant analysis,LDA)模型。研究建立了TGA- GC/MS联机实验方法,采集5个品牌共103组食醋样本的TGA和GC/MS数据,形成了TGA-GC/MS多谱特征值组合,后经T-test处理、主成分分析(principal component analysis,PCA)及PCA 特征提取,选择LDA模型进行建模分析。结果显示,该模型5个单一品牌和其他品牌之间区分正确识别率为:东湖87.63%、恒顺80.41%、宁化府96.91%、紫林80.41%、金山寺87.63%,5个品牌相互之间区分正确识别率为80.00%,聚类分堆和区分效果良好,各品牌食醋正确识别率较高,在食醋品牌鉴别中具有良好的应用前景。
The incidents of counterfeit and inferior vinegar have been exposed repeatedly, which has become a hot spot of public concern. In this paper, a linear discriminant analysis (LDA) model of vinegar was established using the data obtained by thermogravimetry-gas chromatography/mass spectrometry (TGA-GC/MS). The data for a total of 103 vinegar samples from five brands were collected by TGA and GC/MS, forming a TGA-GC/MS multi-spectral eigenvalue combination, which was the methodology established in the study. LDA was used in modeling and analyzing after the T-test, principal component analysis (PCA), and feature extraction. The results showed that the TGA-GC/MS-based LDA model was able to distinguish these five brands of vinegar from each other with the correct recognition rates of 87.63% (Donghu), 80.41% (Hengshun), 96.91% (Ninghuafu), 80.41% (Zilin), and 87.63% (Jinshansi), and the correct recognition rate between these five brands was 80.00%, which showed the model's strong distinguishing ability. It suggests that LDA model shows a high correct recognition rate and has a potential to be applied in the identification of vinegar brands in the future.
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