Abstract：
The growing anthropogenic contamination of natural water by microplastics (MPs) confirms the urgent need to preserve this precious resource. MPs are part of the group of contaminants of emerging concern, and the occurrence studies in surface water and water for human consumption (WHC) are mandatory for environmental and human health risk assessment. This study aims to optimize and validate a Fourier transform infrared spectroscopy method coupled with optical microscopy (micro-FTIR) in transmission mode to monitor MPs in WHC. Water sample (250 mL; without sample pre-treatment) was filtered through 5 µm silicon filters. The infrared spectra identification was performed by OMNIC mathematical correlation, using various spectra libraries for polymers (including the in-house IR spectra library), a background reading on a clean silicon filter, and an aperture of 100 µm × 100 µm. The validated method showed good accuracy, with an average recovery for representative polymers of 91%, a relative standard deviation of 13%, and a reporting limit (RL) of 44 MPs/L. Sixty WHC samples from the Lisbon water supply system showed MPs ranging from 0 (< RL) to 934 MPs/L, with an average value of 309 MPs/L. The most representative polymers were polyethylene (PE, 76.8%), polyethylene terephthalate (PET, 6.9%), polypropylene (PP, 6%), polystyrene (PS, 4%), and polyamide (PA,4%). In terms of size, the microplastic particles had an average length and width of 76 µm and 39 µm, respectively.
摘要：
微塑料（MPs）对天然水的人为污染日益增加，这证实了保护这种宝贵资源的迫切需要。国会议员是新兴关注的污染物组的一部分，地表水和人类饮用水（WHC）的发生研究对于环境和人类健康风险评估是强制性的。本研究旨在优化和验证傅里叶变换红外光谱法与光学显微镜（micro-FTIR）在透射模式下监测WHC中的MPs。通过5μm硅过滤器过滤水样品(250mL;没有样品预处理)。通过OMNIC数学相关进行红外光谱鉴定，使用各种聚合物光谱库（包括内部红外光谱库），在干净的硅过滤器上阅读背景资料，孔径为100µm×100µm。验证后的方法具有良好的准确性，代表性聚合物的平均回收率为91%，相对标准偏差为13%，报告限额（RL）为44MP/L。来自里斯本供水系统的60个WHC样品显示MPs范围从0（
