Spectral imaging for characterization and detection of plastic substances in branded teabags

JOURNAL OF HAZARDOUS MATERIALS

卷:418

Article

Xu, Jun-Li¹  Lin, Xiaohui¹  Hugelier, Siewert²  Herrero-Langreo, Ana¹  Gowen, Aoife A.¹ 

[1] Univ Coll Dublin UCD, Sch Biosyst & Food Engn, Dublin 4, Ireland

[2] Katholieke Univ Leuven, Lab Nanobiol, Dept Chem, B-3001 Leuven, Belgium

关键词: Chemical imaging;    Multivariate analysis;    Teabag;    Microplastic;   

DOI  :  10.1016/j.jhazmat.2021.126328

来源: Elsevier

【 摘 要 】

The addition of plastic substances in teabags is of increasing concern for conscious consumers due to the harmful effects on the environment and the potential threats to human health. This work introduces an innovative and cost-effective approach to detect and quantify plastic substances in teabags by applying near infrared hyperspectral imaging (951-2496 nm) coupled with multivariate analysis. Teabags from 6 popular brands were investigated and categorized into three classes based on spectral unmixing and target detection results: 1) the plastic teabag primarily made of nylon 6/6; 2) those made of a composite with various polypropylene and cellulose ratios; 3) biodegradable teabags free from any plastic traces. Results demonstrated the presence of numerous plastic particles in the beverage obtained after steeping nylon teabags, but the release of particles was further amplified after microwave treatment. Nevertheless, target detection results obtained from Fourier transform infrared imaging (4000-675 cm-1) dataset evidenced that a considerable proportion of particle residues detected were the contaminants obtained from tea granules that adsorbed on the teabag. This work highlights the significant importance of performing rigorous spectral analysis for chemical characterization, which is lacking in most published microplastic studies.

【 授权许可】

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