Owen Stephanie, Cureton Samuel, Szuhan Mathew, McCarten Joel, Arvanitis Panagiota, Ascione Max, Truong Vi Khanh, Chapman James, Cozzolino Daniel
School of Science, RMIT University, GPO Box 2476, Melbourne, Victoria 3001, Australia.
School of Science, RMIT University, GPO Box 2476, Melbourne, Victoria 3001, Australia.
Spectrochim Acta A Mol Biomol Spectrosc. 2021 Nov 5;260:119985. doi: 10.1016/j.saa.2021.119985. Epub 2021 May 21.
The objective of this study was to assess the ability of utilizing attenuated total reflection mid-infrared (ATR-MIR) spectroscopy in combination with machine learning techniques to classify the presence of different types of microplastics in artificially adulterated fish and seafood samples. Different polymers namely poly-vinyl chloride (PVC), polycarbonate (PC), polystyrene (PS), polypropylene (PP) and low (LDPE) and high-density polyethylene (HDPE) were mixed with homogenized fish and seafood samples. Homogenized samples were analyzed using MIR spectroscopy and classification models developed using machine learning algorithms such as partial least squares discriminant analysis (PLS-DA). The results of this study revealed that it was possible to identify between adulterated and non-adulterated samples as well as the different microplastic types added to the homogenized samples using ATR-MIR spectroscopy. This study confirmed the ability of combining machine learning methods with ATR-MIR spectroscopy to directly analyze microplastic adulteration in fleshy foods such as fish and seafood. This proof-of-concept study can be utilized and extended to monitor the presence of plastics either in a wide range of fleshy foods or along the entire food value chain.
本研究的目的是评估利用衰减全反射中红外（ATR-MIR）光谱结合机器学习技术对人工掺假的鱼类和海鲜样品中不同类型微塑料的存在情况进行分类的能力。将不同的聚合物，即聚氯乙烯（PVC）、聚碳酸酯（PC）、聚苯乙烯（PS）、聚丙烯（PP）以及低密度聚乙烯（LDPE）和高密度聚乙烯（HDPE）与匀浆后的鱼类和海鲜样品混合。使用中红外光谱对匀浆后的样品进行分析，并使用偏最小二乘判别分析（PLS-DA）等机器学习算法建立分类模型。本研究结果表明，利用ATR-MIR光谱可以识别掺假和未掺假的样品，以及添加到匀浆样品中的不同类型微塑料。本研究证实了将机器学习方法与ATR-MIR光谱相结合能够直接分析鱼类和海鲜等肉质食品中的微塑料掺假情况。这项概念验证研究可用于并扩展到监测广泛的肉质食品或整个食品价值链中塑料的存在情况。
