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衰减全反射傅里叶变换红外光谱法(ATR-FTIR)与近红外光谱法(NIR)用于识别生物固体中微塑料的比较。

Comparison of ATR-FTIR and NIR spectroscopy for identification of microplastics in biosolids.

作者信息

Circelli Luana, Cheng Zhongqi, Garwood Evan, Yuksel Kerem, Di Iorio Erika, Angelico Ruggero, Colombo Claudio

机构信息

Department of Agricultural, Environmental and Food Sciences, University of Molise, Campobasso, Italy; Department of Earth and Environmental Sciences, Brooklyn College of the City University of New York, Brooklyn, NY, USA.

Department of Earth and Environmental Sciences, Brooklyn College of the City University of New York, Brooklyn, NY, USA; Graduate Center and Advanced Science Research Center of the City University of New York, New York, NY, USA.

出版信息

Sci Total Environ. 2024 Mar 15;916:170215. doi: 10.1016/j.scitotenv.2024.170215. Epub 2024 Jan 21.

Abstract

Biosolids are considered a potentially major input of microplastics (MPs) to agricultural soils. Our study aims to identify the polymeric origin of MPs extracted from biosolid samples by comparing their Attenuated Total Reflection (ATR) - Fourier-transform infrared (FTIR) spectra with the corresponding near-infrared (NIR) spectra. The reflectance spectra were preprocessed by Savitzky-Golay (SG), first derivative (FD) and compared with analogous spectra acquired on a set of fifty-two selected commercial plastic (SCP) materials collected from readily available products. According to the results portrayed in radar chart and built from both ATR-FTIR and NIR spectral datasets, the MPs showed high correlations with polymers such as polyethylene (LDPE, HDPE), polyethylene terephthalate (PET), polystyrene (PS), polypropylene (PP) and polyamide (PA), determined in SCP samples. Each unknown MP sample had on average three or more links to several types of SCP, according to the correlation coefficients for each polymer ranging from 0.7 up to 1. The comparison analysis classified the majority of MPs as composed mainly by LDPE/HDPE, according to the top correlation coefficients (r > 0.90). PP and PET were better identified with NIR than ATR-FTIR. In contrast to ATR-FTIR analysis, NIR was unable to identify PS. Based on these results, the primary sources of MPs in the biosolids could be identified as discarded consumer packaging (containers, bags, bottles) and fibers from laundry, disposable glove, and cleaning cloth. SYNOPSIS: Microplastics (MPs) are considered contaminants of emerging concern. This study compares two simple and fast spectroscopy techniques to identify microplastics in the biosolid matrix.

摘要

生物固体被认为是农业土壤中微塑料(MPs)的一个潜在主要来源。我们的研究旨在通过将从生物固体样品中提取的微塑料的衰减全反射(ATR)-傅里叶变换红外(FTIR)光谱与相应的近红外(NIR)光谱进行比较,来确定这些微塑料的聚合物来源。反射光谱经过Savitzky-Golay(SG)平滑、一阶导数(FD)预处理,并与从一组52种从市售产品中选取的商业塑料(SCP)材料上获取的类似光谱进行比较。根据从ATR-FTIR和NIR光谱数据集构建的雷达图中描绘的结果,这些微塑料与在SCP样品中测定的聚乙烯(LDPE、HDPE)、聚对苯二甲酸乙二酯(PET)、聚苯乙烯(PS)、聚丙烯(PP)和聚酰胺(PA)等聚合物具有高度相关性。根据每种聚合物的相关系数在0.7至1之间,每个未知的微塑料样品平均与几种类型的SCP有三个或更多的关联。根据最高相关系数(r > 0.90),比较分析将大多数微塑料分类为主要由LDPE/HDPE组成。与ATR-FTIR相比,NIR能更好地识别PP和PET。与ATR-FTIR分析不同,NIR无法识别PS。基于这些结果,生物固体中微塑料的主要来源可确定为废弃消费品包装(容器、袋子、瓶子)以及来自洗衣、一次性手套和清洁布的纤维。摘要:微塑料(MPs)被认为是新出现的受关注污染物。本研究比较了两种简单快速的光谱技术,以识别生物固体基质中的微塑料。

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