Non-invasive and rapid pH monitoring for meat quality assessment using a low-cost portable hyperspectral scanner

Xinli Yao; Fuhong Cai; Peiyi Zhu; Haixuan Fang; Jingwei Li; Sailing He

doi:10.1016/j.meatsci.2019.02.017

Non-invasive and rapid pH monitoring for meat quality assessment using a low-cost portable hyperspectral scanner

Meat Sci. 2019 Jun:152:73-80. doi: 10.1016/j.meatsci.2019.02.017. Epub 2019 Feb 23.

Authors

Xinli Yao¹, Fuhong Cai², Peiyi Zhu³, Haixuan Fang⁴, Jingwei Li¹, Sailing He⁵

Affiliations

¹ National Engineering Research Center for Optical Instruments, Centre for Optical and Electromagnetic Research, Zhejiang University, Hangzhou 310058, China; Suzhou YouHan Information Technologies, Ltd, Changshu, Suzhou 215500, China.
² Mechanical and Electrical Engineering College, Hainan University, Haikou 570228, China. Electronic address: caifuhong@zju.edu.cn.
³ Suzhou YouHan Information Technologies, Ltd, Changshu, Suzhou 215500, China.
⁴ Mechanical and Electrical Engineering College, Hainan University, Haikou 570228, China.
⁵ National Engineering Research Center for Optical Instruments, Centre for Optical and Electromagnetic Research, Zhejiang University, Hangzhou 310058, China; Suzhou YouHan Information Technologies, Ltd, Changshu, Suzhou 215500, China. Electronic address: sailing@zju.edu.cn.

PMID: 30831540
DOI: 10.1016/j.meatsci.2019.02.017

Abstract

It has been demonstrated that optical spectroscopy is a powerful tool for the quantitative monitoring of the main chemical components in food. However, portable spectrometer for on-site food quality assessment has rarely been reported. Here, a low-cost and portable hyperspectral scanner is developed. Utilizing this hyperspectral scanner by handheld push-broom scanning, reflectance spectra of meat samples can be obtained non-invasively and rapidly. Support vector regression (SVR) model is used to predict the pH value. The prediction accuracy rate of the model is close to 90%, and the coefficient of determination is about 0.93, which shows the feasibility of this system in on-site monitoring pH of meat.

Keywords: Handheld scanning; Portable hyperspectral scanner; Spectral imaging; Spectroscopy; Support vector regression (SVR); pH monitoring.

MeSH terms

Animals
Food Quality*
Hydrogen-Ion Concentration
Red Meat / analysis*
Spectrum Analysis / instrumentation*
Spectrum Analysis / methods
Swine