分析测试学报2025，Vol.44Issue(6)：1107-1114,8.DOI:10.12452/j.fxcsxb.25012461
紫外光谱结合化学计量学用于青稞酒的判别分析
Discrimination Analysis of Qingke Liquor by Using Ultra-Violet Spectroscopy Combined with Chemometrics
摘要
Abstract
Qingke liquor,a renowned Tibetan alcoholic beverage derived from hull-less highland barley exclusively cultivated in the Qinghai-Tibetan Plateau,has witnessed a surge in sales.Howev-er,the issue of adulteration has emerged as a pressing concern demanding immediate attention.The research focused on the rapid identification methods of'Huzhu'brand Qingke liquor,a geographical indication protection product,using ultra-violet(UV)spectroscopy.Two approaches were proposed:principal component analysis-support vector machine(PCA-SVM)and multi-model partial least squares-discriminant analysis(MPLS-DA).Three categories of liquors are considered:Chinese'Huzhu'Qingke liquor(CHQL),other brand Qingke liquor(OBQL),and non-Qingke-based liquor(NQBL).SVM was performed using two principal components to solve the binary classification prob-lem,while PLS1 algorithm is used for each column of the dummy variable Y in MPLS-DA to inte-grate prediction results from submodels.Both PCA-SVM and MPLS-DA successfully built discrimi-nation models for CHQL.PCA-SVM distinguishes CHQL from OBQL and NQBL but cannot differen-tiate between OBQL and NQBL.In contrast,MPLS-DA correctly identified all three classes of sam-ples,and it could solve multi-classification problems.These results demonstrate that the proposed method can serve as a simple and rapid identification approach for CHQL,with MPLS-DA exhibiting superior sample recognition capabilities.关键词
中国互助青稞酒/紫外光谱/化学计量学/判别分析Key words
Chinese Huzhu Qingke liquor/ultra-violet spectroscopy/chemometrics/discrimi-nant analysis分类
化学化工引用本文复制引用
张世芝,王茹,赵玉霞,张明锦..紫外光谱结合化学计量学用于青稞酒的判别分析[J].分析测试学报,2025,44(6):1107-1114,8.基金项目
国家自然科学基金(22363010) （22363010）
青海省科技计划项目(2022-ZJ-769) （2022-ZJ-769）
