Microplastic Contamination and Detection in Food Systems: A Review of Machine Learning, Traditional Methods, and Other Relevant Factors
Microplastics (MPs) are widespread contaminants in food, beverages, and drinking water, raising concerns over potential health risks. Accurate and standardized detection a significant analytical chemistry challenge due to complex food matrices and lim
Authors
- Natalya Eremeeva (ORCID: https://orcid.org/0000-0002-9632-6296)
- Bogdana Vladimirovna Maksimova
- Pavel Zun (ORCID: https://orcid.org/0000-0001-6176-1143)
- Yemane H. Gebremeskal (ORCID: https://orcid.org/0000-0002-6520-1415)
- Surajit Das (ORCID: https://orcid.org/0000-0002-3891-6140)
- SURAJIT DAS
Institutions
- ITMO University (RU)
Publication Details
- Published
- 2025-09-25
- DOI
- https://doi.org/10.22541/essoar.175805310.05654904/v2
- Primary Topic
- Microplastics and Plastic Pollution
- Type
- article
- Field-Weighted Citation Impact
- 0.00