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Mass spectrometry-based multimodal approaches for the identification and quantification analysis of microplastics in food matrix

Frontiers in Nutrition 2023 27 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 55 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Pengfei Wu, Pengfei Wu, Pengfei Wu, Pengfei Wu, Pengfei Wu, Minghai Zhu, Pengfei Wu, Minghai Zhu, Pengfei Wu, Pengfei Wu, Pengfei Wu, Pengfei Wu, Pengfei Wu, Qing Huang Xiaoyi Wu, Xiaoyi Wu, Pengfei Wu, Xiaoyi Wu, Pengfei Wu, Pengfei Wu, Qing Huang Qing Huang Hangbiao Jin, Hangbiao Jin, Hangbiao Jin, Hangbiao Jin, Hangbiao Jin, Qinwei Yu, Pengfei Wu, Pengfei Wu, Qinwei Yu, Hangbiao Jin, Hangbiao Jin, Hangbiao Jin, Hangbiao Jin, Hangbiao Jin, Hangbiao Jin, Hangbiao Jin, Hangbiao Jin, Pengfei Wu, Hangbiao Jin, Qing Huang Qing Huang Pengfei Wu, Hangbiao Jin, Hangbiao Jin, Pengfei Wu, Minghai Zhu, Minghai Zhu, Pengfei Wu, Pengfei Wu, Pengfei Wu, Qing Huang Hangbiao Jin, Qing Huang Qing Huang

Summary

This review examines mass spectrometry techniques for identifying and measuring microplastics in food, covering methods that analyze both the chemical composition and quantity of plastic particles. The study suggests these advanced analytical approaches could help bridge the gap between environmental monitoring and understanding actual human exposure levels. Better measurement tools are needed to assess how much microplastic people are consuming through their diet.

This study will contribute to gaining a deeper insight into the assessment of the exposure levels of MPs in human body, and may help build a bridge between the monitoring studies and the toxicology field.

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