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New insights from correlation analysis of microplastics on strawberry surfaces with microplastics in air and pesticides

Journal of Hazardous Materials 2025 2 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yeran Bai, Yeran Bai, Yeran Bai, Meng Zhao Meng Zhao Meng Zhao Meng Zhao Jiajia Zhang, Jiajia Zhang, Meng Zhao Jiajia Zhang, Jiajia Zhang, Jiajia Zhang, Meng Zhao Meng Zhao Meng Zhao Meng Zhao Meng Zhao Meng Zhao Jiajia Zhang, Yang Song, Jiajia Zhang, Yang Song, Jiajia Zhang, Jiajia Zhang, Yang Song, Meng Zhao Meng Zhao Meng Zhao Meng Zhao Meng Zhao Meng Zhao Jiajia Zhang, Jiajia Zhang, Jiajia Zhang, Jiajia Zhang, Xiaoxuan He, Yanhua Chen, Yang Song, Yang Song, Yang Song, Jiajia Zhang, Xiaoxuan He, Meng Zhao Jiajia Zhang, Jiajia Zhang, Jiajia Zhang, Yang Song, Yang Song, Yang Song, Yang Song, Yang Song, Yang Song, Wenqing He, Jiajia Zhang, Meng Zhao Meng Zhao Meng Zhao Jiajia Zhang, Jiajia Zhang, Jiajia Zhang, Yanhua Chen, Wenqing He, Wenqing He, Wenqing He, Wenqing He, Wenqing He, Jiajia Zhang, Meng Zhao Meng Zhao Meng Zhao Meng Zhao Meng Zhao Meng Zhao Yang Song, Yang Song, Yang Song, Yang Song, Wenqing He, Wenqing He, Yanhua Chen, Yanhua Chen, Wenqing He, Meng Zhao Meng Zhao Jiajia Zhang, Jiajia Zhang, Meng Zhao Wenbo Bai, Jiajia Zhang, Jiajia Zhang, Jiajia Zhang, Meng Zhao Meng Zhao Jiajia Zhang, Yanhua Chen, Meng Zhao Wenbo Bai, Meng Zhao Jiajia Zhang, Meng Zhao Yanhua Chen, Jiajia Zhang, Jiajia Zhang, Wenqing He, Jiajia Zhang, Meng Zhao Wenbo Bai, Meng Zhao Wenbo Bai, Jiajia Zhang, Wenqing He, Wenqing He, Meng Zhao Jiajia Zhang, Jiajia Zhang, Meng Zhao Wenbo Bai, Wenqing He, Wenqing He, Yanhua Chen, Yanhua Chen, Wenbo Bai, Yanhua Chen, Jiajia Zhang, Yanhua Chen, Wenqing He, Wenqing He, Wenqing He, Meng Zhao Wenbo Bai, Wenbo Bai, Meng Zhao

Summary

Researchers used hyperspectral imaging and linear analysis to detect and characterize microplastic contamination on strawberry surfaces, identifying correlations between plastic particle characteristics and spectral signatures that could be used to develop real-time food safety monitoring systems.

With the global increase in plastic pollution, microplastic contamination of agricultural products has become an emerging environmental issue that threatens food safety. In this study, linear analysis combined with principal component analysis was used to determine the correlation between microplastics in air and pesticides and the abundance and components of microplastics on the surface of strawberries, which fills the gap of traceability studies of microplastics on the surface of agricultural products. A high correlation coefficient of 0.65 was observed between microplastics on strawberry surfaces and the microplastic abundance in the air; however, the correlation coefficient with the abundance of microplastics in pesticides was only 0.30, which was weak. Polypropylene, polyamide and polyethylene were the polymers detected in the largest proportion of all experimental samples. Polypropylene had the highest percentage of detections in air and pesticides at 70.66 % and 74.04 %, respectively. The percentages of polypropylene, polyamide and polyethylene on strawberry surfaces were 36.97 %, 29.20 % and 17.36 %, respectively. This study provides scientific support for the formulation of microplastic limit standards for agricultural products and the optimization of agricultural production norms, which is of strategic significance for guaranteeing food safety and promoting the sustainable development of agriculture.

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