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作 者:林长虹[1] 吴世玉 蓝勇波[1] 古丽君[1] 洪佳瑞 郑彦婕[1] LIN Changhong;WU Shiyu;LAN Yongbo;GU Lijun;HONG Jiarui;ZHENG Yanjie(Shenzhen Academy of Metrology&Quality Inspection,Shenzhen 518000,China)
机构地区:[1]深圳市计量质量检测研究院,广东深圳518000
出 处:《食品与发酵工业》2023年第15期257-261,共5页Food and Fermentation Industries
基 金:广东省食品药品监督管理总局科技创新项目(2018YDB03);国家重大科学仪器设备开发专项(2012YQ090167-0402)。
摘 要: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.
关 键 词:食醋 热重分析 气相质谱质谱联用技术 主成分分析 线性判别分析
分 类 号:TS264.22[轻工技术与工程—发酵工程] O657.63[轻工技术与工程—食品科学与工程]
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