Developing an application to automate and improve microplastic analyses using Raman spectroscopy

使用拉曼光谱开发自动化和改进微塑料分析的应用程序

• 批准号: 530964-2018
• 负责人: Rochman, Chelsea
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=663546
• 关键词: Developing; application; automate; improve; microplastic

Microplastic pollution has become a contaminant of concern globally. Microplastics are found in soils, water,**wildlife, seafood and drinking water. Methodologies for quantifying and characterizing microplastics in**environmental samples is a work in progress and companies are working hard to help researchers design more**accurate and efficient methods. This is critical, because to wholly understand the sources, fate and effects of**microplastics in the environment, we must be equipped with efficient and effective technologies and methods**to measure the quantity and diversity of microplastic in complex samples.**Our overarching goal is to automate methods and to build a spectral library specific to microplastics. Together,**with Horiba, we will develop an application-based library to enable automation and a spectral library to**streamline the library search. This will be the first application method and library to be developed specific to**microplastics using Raman spectroscopy. Our work plan will include: 1) developing a diverse microplastics**library; 2) developing an application-based library for microplastics to identify the best parameters for**characterizing microplastics; and 3) automating microplastics analysis.**The end product will be a higher throughput method that can be used to count, measure and identify**microplastics in complex environmental samples. Our goal is to not only develop these methods, but also to**share them across the country with our government colleagues. Such methods can facilitate more effective**monitoring programs that will inform policies to mitigate and prevent this emerging contaminate in our**ecosystems and resources.

微塑料污染已成为全球关注的污染物。微塑料存在于土壤、水、野生动物、海鲜和饮用水中。量化和表征环境样品中微塑料的方法正在进行中，公司正在努力帮助研究人员设计更准确和有效的方法。这一点至关重要，因为要全面了解环境中微塑料的来源、归宿和影响，我们必须配备高效和有效的技术和方法来测量复杂样品中微塑料的数量和多样性。我们的总体目标是实现方法自动化，并建立一个特定于微塑料的光谱库。我们将与Horiba一起开发一个基于应用程序的库，以实现自动化，并开发一个光谱库，以 ** 简化库搜索。这将是第一个使用拉曼光谱专门针对 ** 微塑料开发的应用方法和库。我们的工作计划将包括：1）开发多样化的微塑料 ** 库; 2）开发基于应用的微塑料库，以确定表征微塑料的最佳参数; 3）自动化微塑料分析。最终产品将是一种更高通量的方法，可用于计数，测量和识别复杂环境样品中的微塑料。我们的目标不仅是开发这些方法，而且还要在全国范围内与我们的政府同事分享它们。这些方法可以促进更有效的监测计划，这将为政策提供信息，以减轻和防止我们的生态系统和资源中出现这种污染。