Recently, Gong Yirong, a Year four graduate from the School of Ocean Science of Technology majoring in Food Science and Engineering published the thesis, Analysis of microplastics release from rice package in combination with machine learning and hyperspectral imaging technique, as the lead author, on Food Packaging and Shelf Life which is the journal listed in SCI Zone one. The article was directed by Associate Professor Shan Jiajia. 

Abstract

Microplastics (MPs) release from rice package is an emerging issue since the ingestion of MPs might pose a serious threat to human health. However, the current methods for quantifying MPs in rice is laborious and time consuming. This study proposed a simple method to identify MPs in packaged rice, in combination of machine learning and hyperspectral image technology. The samples spectra demonstrate there are distinct differences between rice and MPs in near-infrared spectral region, and a support vector machine (SVM) model was developed to identify MPs, with an accurate rate > 94.44%. Moreover, the developed model was applied to analyze the abundance of MPs release from rice package under simulated transportation conditions (e.g. transportation time, attrition rate, stackability pressure), demonstrating transportation conditions have an effect on the abundance of MPs release from rice package. Moreover, MPs removal from rice washing process was investigated and discussed.

Published by ELSEVIER, Food Packaging and Shelf Life is listed in SCIE with a high IF of 8.0 and CiteScore of 12.9. Also, it ranks in the Q1 in JCR (Journal Citation Reports) and is listed in zone one in the agroforestry science category updated by the Chinese Academy of Sciences. 

Source: 

The official website of Dalian University of Technology, Pnajin Campus, 18 September 2023

Analysis of microplastics release from rice package in combination with machine learning and hyperspectral imaging technique, 9 August 2023