期刊论文

Zhang, X.-H.;Liu, Z.

英文

Food Control

0956-7135

2021

124

107900

10.1016/j.foodcont.2021.107900

CRediT authorship contribution statement Xiao-Hua Zhang: Conceptualization, Methodology, Investigation, Visualization, acquisition, Writing - original draft. Xiang-Dong Qing: Conceptualization, Methodology, Investigation, acquisition. Shu-Ting Mu: Formal analysis, Investigation, Supervision. Deguo Wang: Formal analysis, Project administration. Jing-Jing Zheng: Software, Formal analysis. San-Jiu Zhou: Formal analysis, Investigation. Chao Kang: Writing - review & editing, acquisition. Zhi Liu: Writing - review & Acknowledgments The authors gratefully acknowledge the National Natural Science Foundation of China (Grant No. 31701689, 21707032), the Science and Technology Project of Henan Province (Grant No. 212102110214), the Natural Science Project of the Department of Education of Guizhou Province (Grant No.[2017] 116), the Scheme for the Outstanding Young Backbone Teachers and Scheme for the Preeminent Youth Backbone Talents of Xuchang University.

本校为其他机构

The chemometric second-order multivariate calibration method was applied to the qualitative and quantitative analysis of seven phenolic acids in honey samples with five different floral origins. First, based on the “second-order advantage,” reasonable resolutions and satisfactory quantitative results were obtained even in the presence of strong background interference and overlapping peaks in complex real honey samples. Average spike recoveries for the seven target analytes were in the range of 89.34–118.81%, with high correlation coefficien...