Identification and quantification of microplastics using Fourier-transform infrared spectroscopy: Current status and future prospects

By Yiyang Chen, Dishi Wen, Jianchuan Pei, Y. Fei, Da Ouyang, Haibo Zhang, Yongming Luo. Current Opinion in Environmental Science & Health, 2020

179 citations recorded by the source corpus.

Abstract Fourier-transform infrared (FTIR) spectroscopy is the most popular approach currently using for identification and quantification of microplastics (MPs). Recent advancements in micro-FTIR (μ-FTIR) imaging have enabled automatic identification of MPs concentrated on the filter membrane without presorting. Focal plane array–based μ-FTIR imaging provided a considerable reduction in analysis time and increased the accuracy of the results by impartial measurement of the whole filter surfaces. The algorithmic development of automated spectra evaluation incorporated of multivariate statistics and machine learning dramatically increase the efficiency and robustness of the identification and quantification for MPs. This makes it possible to fast automatic analysis of MPs from environmental compartments based on massive FTIR spectra. Research priorities were proposed regarding FTIR spectroscopy application in microplastics/nanoplastics, which include the formation of standardized protocol for routine analysis of MPs automatically, exploration of more chemical information in combination with other advanced techniques, and characterization of environmental nanoplastics using hybrid atomic force microscopy infraredspectroscopy.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Pollution

View Paper: https://www.semanticscholar.org/paper/9abad081508bb2253d0d64c346b2b1f65b649bcb

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Citations in the corpus

• Contributions of Fourier transform infrared spectroscopy in microplastic pollution research: A review (2020, methodology): “Though the automated evaluation method demonstrated that the analysis time has decreased from several days to 4–9 h for a scanning, only recently this technique is introduced in the MP research (Chen et al., 2020; Primpke, Christiansen, et al., 2020).”