Analysis of micro(nano)plastics based on automated data interpretation and modeling: A review

IF 4.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Kwanyoung Ko , Juhwan Lee , Philipp Baumann , Jaeho Kim , Haegeun Chung
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引用次数: 0

Abstract

The widespread presence of micro(nano)plastics (MNPs) in the environment threatens ecosystem integrity, and thus, it is necessary to determine and assess the occurrence, characteristics, and transport of MNPs between ecological components. However, most analytical approaches are cost- and time-inefficient in providing quantitative information with sufficient detail, and interpreting results can be difficult. Alternative analyses integrating novel measurements by imaging or proximal sensing with signal processing and machine learning may supplement these approaches. In this review, we examined published research on methods used for the automated data interpretation of MNPs found in the environment or those artificially prepared by fragmenting bulk plastics. We critically reviewed the primary areas of the integrated analytical process, which include sampling, data acquisition, processing, and modeling, applied in identifying, classifying, and quantifying MNPs in soil, sediment, water, and biological samples. We also provide a comprehensive discussion regarding model uncertainties related to estimating MNPs in the environment. In the future, the development of routinely applicable and efficient methods is expected to significantly contribute to the successful establishment of automated MNP monitoring systems.

Abstract Image

基于自动数据解读和建模的微(纳)塑料分析:综述。
微(纳)塑料(MNPs)在环境中的广泛存在威胁着生态系统的完整性,因此有必要确定和评估 MNPs 的出现、特征以及在生态成分之间的迁移情况。然而,大多数分析方法在提供足够详细的定量信息方面成本和时间都很低,而且解释结果也很困难。将成像或近距离传感的新型测量方法与信号处理和机器学习相结合的替代分析方法可能会对这些方法起到补充作用。在这篇综述中,我们考察了已发表的研究成果,这些成果涉及对环境中发现的 MNPs 或通过破碎散装塑料人工制备的 MNPs 进行自动数据解读的方法。我们严格审查了综合分析流程的主要领域,其中包括采样、数据采集、处理和建模,这些都应用于对土壤、沉积物、水和生物样本中的 MNPs 进行识别、分类和量化。我们还全面讨论了与估算环境中 MNPs 相关的模型不确定性。未来,常规适用且高效的方法的开发有望极大地推动 MNP 自动监测系统的成功建立。
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来源期刊
NanoImpact
NanoImpact Social Sciences-Safety Research
CiteScore
11.00
自引率
6.10%
发文量
69
审稿时长
23 days
期刊介绍: NanoImpact is a multidisciplinary journal that focuses on nanosafety research and areas related to the impacts of manufactured nanomaterials on human and environmental systems and the behavior of nanomaterials in these systems.
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