Journal
MEAT SCIENCE
Volume 152, Issue -, Pages 73-80Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.meatsci.2019.02.017
Keywords
pH monitoring; Portable hyperspectral scanner; Spectral imaging; Handheld scanning; Spectroscopy; Support vector regression (SVR)
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Funding
- National Key Research and Development Program of China [2018YFC1407504]
- Science and Technology Development Plan Project of Changshu [CS201806]
- National Natural Science Foundation of China [11621101]
- scientific research fund of Hainan University [kyqd1653]
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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.
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