河北科技大学学报2026，Vol.47Issue(1)：29-39,11.DOI:10.7535/hbkd.2026yx01004
基于LIF与PLS-DA的高品质食用油掺伪鉴别
Detection of edible oil adulteration based on laser-induced fluorescence spectroscopy and partial least squares-discriminant analysis
摘要
Abstract
This study proposed a method for identifying adulteration in high-quality edible oils by combining laser-induced fluorescence(LIF)technology with partial least squares-discriminant analysis(PLS-DA),aiming to quickly detect low-quality edible oils in the market.Firstly,a laboratory-built LIF system was used to collect fluorescence spectral data of olive oil,sesame oil,peanut oil,and their adulterated samples.Subsequently,PLS-DA was employed to construct adulteration identification models for olive oil,sesame oil,and peanut oil respectively.Finally,the performance of these models was evaluated using a prediction set.The results indicate that the PLS-DA model can accurately capture the differential characteristics in fluorescence spectra between adulterated samples and authentic samples.Under the verification of the experimentally obtained data,a 100%correct classification rate is achieved.This method enables high-precision identification of adulterated edible oil,providing a scientific identification tool for food safety supervision and offers support for technical research.关键词
光谱学/食用油掺伪/激光诱导荧光/偏最小二乘判别分析/食品安全Key words
spectroscopy/edible oil adulteration/LIF/PLS-DA/food safety分类
轻工纺织引用本文复制引用
崔耀耀,金源,姜海洋,吴邵哲,崔灿,吴焓冰,李金怡,苑媛媛..基于LIF与PLS-DA的高品质食用油掺伪鉴别[J].河北科技大学学报,2026,47(1):29-39,11.基金项目
国家自然科学基金(62305102) （62305102）
河北省高等学校科学技术青年拔尖人才项目(BJK2023067) （BJK2023067）
石家庄市科技计划项目青年科技创新能力提升专项(241240265A) （241240265A）
