优化微塑料分析,以量化和识别洗衣废水中的微塑料纤维
James V Tarte1, Md Abu Hasan Johir1, Van-Tung Tra2
1Centre for Technology in Water and Wastewater, University of Technology Sydney, NSW 2007, Australia.
The Science of the total environment
|September 1, 2024
概括
这项研究引入了一种更快,更可扩展的方法来分析洗衣废水中的微塑料纤维 (MPF). 这种新技术提高了例行高通量环境监测的效率和准确性.
科学领域:
- 环境科学 环境科学
- 分析化学 分析化学
- 材料科学 材料科学 材料科学
背景情况:
- 目前的微塑料纤维 (MPF) 分析方法效率低下,无法用于常规使用.
- 高通量分析对于了解废水中的MPF污染至关重要.
研究的目的:
- 开发一种快速,高效和可扩展的方法来提取,量化和分析洗衣废水中的多重粉.
- 为了优化MPF检测使用福里埃变换红外光谱 (FT-IR) 和光显微镜.
主要方法:
- 福里埃变换红外 (FT-IR) 测量用于初步的聚合物识别.
- 过膜的随机平方化用于快速分析 (<30分钟).
- 尼罗河红色染色和优化的365nm激发波长为聚 (PET) 纤维光.
- 自定义 ImageJ 宏用于自动列举和描述 MPF.
主要成果:
- 聚是工业洗衣废水中最常见的MPF;烯酸,尼龙,棉花和 rayon也无处不在.
- 365纳米的激发波长是光尼罗河红色染色PET纤维的最佳,与通常使用的495纳米不同.
- 自动化的ImageJ宏观分析了高达40,000纤维/L的度,下一个尺寸限制为20微米/秒.
结论:
- 开发的方法显著提高了洗衣废水中MPF分析的效率和可扩展性.
- 优化的FT-IR和光技术,加上自动图像分析,提供可靠和准确的结果.
- 这项研究强调了环境微塑料监测需要可扩展,准确的分析工作流.
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