Pattern-recognizing-assisted detection of mildewed wheat by Dyes/Dyes-Cu-MOF paper-based colorimetric sensor array

Xiaofang Liu; Danqun Huo; Jiawei Li; Yi Ma; Huan Liu; Huibo Luo; Suyi Zhang; Xiaogang Luo; Changjun Hou

doi:10.1016/j.foodchem.2023.135525

Pattern-recognizing-assisted detection of mildewed wheat by Dyes/Dyes-Cu-MOF paper-based colorimetric sensor array

Food Chem. 2023 Jul 30:415:135525. doi: 10.1016/j.foodchem.2023.135525. Epub 2023 Jan 21.

Authors

Xiaofang Liu¹, Danqun Huo², Jiawei Li³, Yi Ma⁴, Huan Liu⁵, Huibo Luo⁴, Suyi Zhang⁶, Xiaogang Luo⁷, Changjun Hou⁸

Affiliations

¹ Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
² Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China; Liquor Making Biology Technology and Application of Key Laboratory of Sichuan Province, College of Bioengineering, Sichuan University of Science and Engineering, Zigong 643000, PR China.
³ Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China; Chongqing University Three Gorges Hospital, Chongqing 404000,PR China.
⁴ Liquor Making Biology Technology and Application of Key Laboratory of Sichuan Province, College of Bioengineering, Sichuan University of Science and Engineering, Zigong 643000, PR China.
⁵ Chongqing Institute for Food and Drug Control, Chongqing 401121, PR China.
⁶ Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China; National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Group Co. Ltd., Luzhou 646000, PR China. Electronic address: zhangsy@lzlj.com.
⁷ Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China. Electronic address: luosteel@cqu.edu.cn.
⁸ Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China. Electronic address: houcj@cqu.edu.cn.

PMID: 36870207
DOI: 10.1016/j.foodchem.2023.135525

Abstract

In order to timely discriminate wheat with different mildew rates, a Dyes/Dyes-Cu-MOF paper-based colorimetric sensor array was designed. Using array points to capture volatile gases of wheat with different mildew rates, and output RGB values. The correlation between ΔR/ΔG/ΔB values and odor components was established. The ΔG values of array points 2' and 3' showed the best correlation with mildew rate, with R² of 0.9816 and 0.9642. The ΔR value of 3 and the ΔG value of 2 correlate well with the mildew rate, with R² of 0.9625 and 0.9502, respectively. Then, the ΔRGB values are subjected to pattern recognition processing, and LDA achieves 100% correct discrimination for all samples, or divides high and low mildew areas. This method provides an odor-based monitoring tool for fast, visual and nondestructive evaluation of food safety and quality through visualization of odors produced by different mildew rates.

Keywords: Dye; Metal organic framework; Mildew; Paper-based colorimetric sensor array; Pattern recognizing; Wheat.

MeSH terms

Colorimetry / methods
Coloring Agents*
Fungi
Gases
Triticum*

Substances

Coloring Agents
Gases