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Yingshu Leng

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Articles

Automated Machine-Learning-Driven Analysis of Microplastics by TGA-FTIR for Enhanced Identification and Quantification

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By Daniel Prezgot, Maohui Chen, Yingshu Leng, Liliana Gaburici
| dx.doi.org
Introduction Click to copy section linkSection link copied! Since the large-scale production of plastics began in the 1950s, over 7000 Mt of plastic waste has cumulatively been generated, with rates of plastic production and thus waste still projected to increase. (1,2) This waste includes primary and secondary microplastics formed through degradation, along with smaller nanoplastics. (3) These microplastics are pervasive and found in air, water sources, soil, and even food.
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Automated Machine-Learning-Driven Analysis of Microplastics by TGA-FTIR for Enhanced Identification and Quantification

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By Daniel Prezgot, Maohui Chen, Yingshu Leng, Liliana Gaburici
| ACS Publications
Analytical Chemistry Cite this: Anal. Chem. 2025, XXXX, XXX Click to copy citationCitation copied! . This publication is licensed under CC-BY 4.0 . You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters below: Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.
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