Peng Jiyu, Xie Weiyue, Jiang Jiandong, Zhao Zhangfeng, Zhou Fei, Liu Fei
Key Laboratory of E & M (Zhejiang University of Technology), Ministry of Education & Zhejiang Province, Hangzhou 310014, China.
College of Standardization, China Jiliang University, Hangzhou 310018, China.
Foods. 2020 Mar 14;9(3):341. doi: 10.3390/foods9030341.
Honey adulteration is a major issue in food production, which may reduce the effective components in honey and have a detrimental effect on human health. Herein, laser-induced breakdown spectroscopy (LIBS) combined with chemometric methods was used to fast quantify the adulterant content. Two common types of adulteration, including mixing acacia honey with high fructose corn syrup (HFCS) and rape honey, were quantified with univariate analysis and partial least squares regression (PLSR). In addition, the variable importance was tested with univariable analysis and feature selection methods (genetic algorithm (GA), variable importance in projection (VIP), selectivity ratio (SR)). The results indicated that emissions from Mg II 279.58, 280.30 nm, Mg I 285.25 nm, Ca II 393.37, 396.89 nm, Ca I 422.70 nm, Na I 589.03, 589.64 nm, and K I 766.57, 769.97 nm had compact relationship with adulterant content. Best models for detecting the adulteration ratio of HFCS 55, HFCS 90, and rape honey were achieved by SR-PLSR, VIP-PLSR, and VIP-PLSR, with root-mean-square error (RMSE) of 8.9%, 8.2%, and 4.8%, respectively. This study provided a fast and simple approach for detecting honey adulteration.
蜂蜜掺假是食品生产中的一个主要问题，这可能会降低蜂蜜中的有效成分，并对人体健康产生不利影响。在此，激光诱导击穿光谱法（LIBS）结合化学计量学方法被用于快速定量掺假物含量。通过单变量分析和偏最小二乘回归（PLSR）对两种常见的掺假类型进行了定量，包括将刺槐蜂蜜与高果糖玉米糖浆（HFCS）和油菜蜂蜜混合。此外，还使用单变量分析和特征选择方法（遗传算法（GA）、投影变量重要性（VIP）、选择性比率（SR））测试了变量重要性。结果表明，Mg II 279.58、280.30 nm、Mg I 285.25 nm、Ca II 393.37、396.89 nm、Ca I 422.70 nm、Na I 589.03、589.64 nm以及K I 766.57、769.97 nm的发射与掺假物含量密切相关。通过SR-PLSR、VIP-PLSR和VIP-PLSR分别建立了检测HFCS 55、HFCS 90和油菜蜂蜜掺假率的最佳模型，其均方根误差（RMSE）分别为8.9%、8.2%和4.8%。本研究为检测蜂蜜掺假提供了一种快速简便的方法。
