期刊论文

中文

中国食品学报

1009-7848

2022

22

9

304-311

10.16429/j.1009-7848.2022.09.032

国家自然科学基金项目（81704064）； 湖南省教育厅科学研究优秀青年项目（20B434）； 湖南省中药学一流学科资助项目（校行科字[2018]3号）；

本校为第一机构

建立了一种通过筛选差异成分准确鉴别水洗和日晒咖啡的方法。采集咖啡样本的高效液相(HPLC)色谱图,使用Kennard-Stone算法将两类不同加工方式咖啡样品的全谱原始信号和共有峰峰面积数据分别按7 ∶ 3的比例划分为校正集和测试集,首先建立主成分分析(PCA)及偏最小二乘判别分析(PLS-DA)模型,再通过多元算法对PLS-DA模型进行优化,最后将最佳模型判别函数中X变量的相关系数×100~(-1)标记于色谱图上,标识为两类咖啡的差异成分,并对其中含量最高的成分进行定性。结果表明,采用共有峰峰面积数据无法建立合格的预测模型以区分水洗和日晒咖啡,而采用90个区间下的反向区间偏最小二乘法(BiPLS)优化后的全谱...

A method was established to identify washed and sun-dried coffee comprehensively and accurately by screening differential components.High performance liquid chromatography(HPLC)of coffee samples were collected for multi-chemometrics analysis,and then the full raw signals and common peaks'area data that came from the two different processing types of coffee samples were divided into calibration set and test set respectively using the Kennard-Stone algorithm in the ratio of 7:3.Principal component analysis(PCA)and partial least squares-discrimina...