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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Marine & Wildlife Sign in to save

Estimation of contamination level in microplastic-exposed crayfish by laser confocal micro-Raman imaging

Food Chemistry 2022 29 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Tingna Mei, Xiaofeng Xiao, Tingna Mei, Xiaodan Liu, Xiaodan Liu, Xiaodan Liu, Jiahua Wang, Tingna Mei, Tingna Mei, Tingna Mei, Tingna Mei, Tingna Mei, Xiaofeng Xiao, Tingna Mei, Huang Dai, Huang Dai, Mengting Xu, Xiaodan Liu, Xiaodan Liu, Huang Dai, Fuwei Pi, Fuwei Pi, Zelin Lu, Huang Dai, Fuwei Pi Fuwei Pi Zelin Lu, Huang Dai, Huang Dai, Fuwei Pi Huang Dai, Huang Dai, Huang Dai, Fuwei Pi, Huang Dai, Huang Dai, Huang Dai, Fuwei Pi, Fuwei Pi, Mengting Xu, Xiaodan Liu, Fuwei Pi Fuwei Pi Jiahua Wang, Fuwei Pi, Jiahua Wang, Jiahua Wang, Jiahua Wang, Jiahua Wang, Fuwei Pi

Summary

Researchers exposed crayfish to varying microplastic concentrations and used laser confocal micro-Raman imaging to detect contamination in muscle and gill tissues, finding that microplastic accumulation increased with exposure concentration and duration.

Study Type Environmental

Crayfish is one of the most important freshwater aquaculture species in China. The potential risks of crayfish consumption caused by environmental microplastic pollution have attracted much attention. In this study, a total of 72 crayfish samples were exposed to the microplastic concentrations of 1 mg/L, 3 mg/L, and 9 mg/L for 7, 14, and 28 days, and microplastic contamination levels in crayfish were then explored by laser confocal micro-Raman (LCM-Raman) imaging and scanning electron microscope (SEM). LCM-Raman imaging showed better performance in microplastics identification. Besides, the average percentage of the contaminated area in visualized LCM-Raman images was used to quantitatively assess contamination levels. Following 28 days of exposure to 9 mg/L microplastics, microplastic accumulation reached about 13,000 particles per crayfish. The results confirmed that LCM-Raman imaging combined with image processing technology could be used to construct a high-performance analytical strategy for the assessment of microplastic contamination in crayfish.

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