0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Marine & Wildlife Sign in to save

Separation and identification of microplastics in marine organisms by TGA-FTIR-GC/MS: A case study of mussels from coastal China

Environmental Pollution 2020 129 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yi Liu, Austin Scircle, Yingfei Sheng, Yingfei Sheng, Jianping Yu, Yingfei Sheng, Yingfei Sheng, Austin Scircle, Austin Scircle, Austin Scircle, Ruojia Li, Austin Scircle, Jianping Yu, Yi Liu, Austin Scircle, Ruojia Li, Ruojia Li, Yi Liu, Ruojia Li, James V. Cizdziel, Yi Liu, Yi Liu, Ying Zhou James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, Ruojia Li, James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, Ruojia Li, Ying Zhou Fengli Ni, Austin Scircle, James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, James V. Cizdziel, Ruojia Li, Ying Zhou Yingfei Sheng, Jianping Yu, Fengli Ni, Ruojia Li, Austin Scircle, Yingfei Sheng, Jianping Yu, Fengli Ni, Ruojia Li, Ruojia Li, Ying Zhou Yi Liu, Ruojia Li, Fengli Ni, Ruojia Li, James V. Cizdziel, James V. Cizdziel, Ruojia Li, Ruojia Li, James V. Cizdziel, Yingfei Sheng, Ying Zhou Yingfei Sheng, Yingfei Sheng, Ying Zhou Yingfei Sheng, Austin Scircle, James V. Cizdziel, Ying Zhou Ying Zhou Austin Scircle, Ying Zhou Ying Zhou James V. Cizdziel, Ying Zhou

Summary

A method using thermogravimetric analysis coupled with FTIR and GC-MS (TGA-FTIR-GC-MS) was developed and validated for detecting, identifying, and quantifying microplastics in marine mussels (Mytilus edulis). The multi-detector approach enabled simultaneous polymer identification and quantification in biogenic matrices.

Microplastics are ubiquitous in the marine environment but characterizing them in marine organisms is challenging. Herein we describe a method to detect, identify, and quantify microplastics in marine mussels (Mytilus edulis) using thermal gravimetric analysis - Fourier Transform infrared spectroscopy - gas chromatography mass spectrometry (TGA-FTIR-GC/MS) after extracting and isolating the microplastics using chemical digestion, density separation, and filtration. Combining the three instrumental techniques adds discriminatory power as temperature profiles, chromatograms, and vibrational and mass spectra differ among common plastics. First, we tested several digestion schemes after spiking the mussels with plastics commonly found in the marine environment, including polyethylene (PE), polystyrene (PS), polypropylene (PP) and polyvinyl chloride (PVC). KOH (10%, w/v) was the most suitable reagent, providing good recoveries (>97%) without degrading the microplastics. We show that the technique TGA-FTIR-GC/MS can be optimized to readily determine both the type (polymer) and amount (mass) of microplastics in the sample. Applied to 100 mussels from each of six locations along the coast of China, we found an average of 0.58 mg of plastic per kg of tissue (range 0.16-1.71 mg/kg), with PE being the most abundant type of plastic measured. Among the coastal cities, mussels from Dalian had the highest microplastic content. Overall, we demonstrate that the method is a powerful technique to quantify masses of microplastics in marine mussels, a species commonly used as a bioindicator of pollution, and may be applied to other biota as well.

Sign in to start a discussion.

Share this paper