对分散在受 Pb2+ 离子污染的水介质中的微塑料进行无标签阻抗分析。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-09-25 DOI:10.1039/d4ay01324g
Davide Lascari, Salvatore Cataldo, Nicola Muratore, Giuseppe Prestopino, Bruno Pignataro, Giuseppe Lazzara, Giuseppe Arrabito, Alberto Pettignano
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引用次数: 0

摘要

快速区分受污染和未受污染的微塑料(MPs)对于跟踪环境中微塑料的存在情况以及确定其对人类的潜在风险至关重要。然而,由于缺乏无需光学分析、也无需在复杂的电化学传感器平台上捕捉的快速方法,对污染微塑料的现场定量分析受到了限制。本文介绍了一种利用丝网印刷传感器上的电化学阻抗光谱(EIS)分析分散在水介质中的 MPs 的简单分析方法。该方法通过对两种标准的微塑料珠(MPs)(一种是聚苯乙烯(PS),另一种是聚苯乙烯羧基(PS-COOH))暴露在含 Pb2+ 离子的水溶液中时的电化学阻抗谱分析进行了演示。通过伏安分析定量测定了 Pb2+ 离子在 MPs 上的吸附情况。EIS 能够快速(约 2 分钟)区分干净的 MPs 和受 Pb2+ 污染的 MPs。这些结果为实现便携式阻抗传感器迈出了第一步,该传感器可用于定量检测水溶液中受金属离子污染的微塑料。
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Label-free impedimetric analysis of microplastics dispersed in aqueous media polluted by Pb2+ ions.

The rapid differentiation between polluted and unpolluted microplastics (MPs) is critical for tracking their presence in the environment and underpinning their potential risks to humans. However, the quantitative analysis of polluted microplastics on the field is limited by the lack of rapid methods that do not need optical analysis nor their capture onto sophisticated electrochemical sensor platforms. Herein, a simple analytical approach for MPs dispersed in aqueous media leveraging electrochemical impedance spectroscopy (EIS) analysis on screen-printed sensors is presented. This method is demonstrated by the EIS-based analysis of two standards of microplastics beads (MPs), one of polystyrene (PS) and one of polystyrene carboxylated (PS-COOH), when exposed to aqueous solutions containing Pb2+ ions. The adsorption of Pb2+ ions on the MPs was quantitatively determined by voltammetric analysis. EIS permitted to rapidly (about 2 minutes) differentiate clean MPs from the Pb2+ polluted ones. These results could constitute a first-step towards the realization of a portable impedimetric sensor for the quantification of microplastics polluted by metal ions in aqueous solutions.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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