Optimization of the separation and detection method for microplastics from mulch film in agricultural soils
BAI Run-hao1, CUI Ji-xiao1, FAN Rui-qi1, LI Zhen1, YANG Yang1, LIU Hong-jin2, HE Wen-qing1,3
1. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences/Key Laboratory of Prevention and Control of Residual Pollution in Agricultural Film, Ministry of Agriculture and Rural Affairs, Beijing 100081, China; 2. Inner Mongolia Autonomous Region Agriculture Ecology and Resource Protection Center, Huhhot 010011, China; 3. Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji 831100, China
Abstract:An ultrasonic treatment was proposed to replace digestion to separate microplastics from mulch filmed soil samples in this study, and then, the microplastic indexes of the samples were quantified. The results showed that the surface impurities of microplastics derived from mulch film could be effectively removed to meet the quantitative requirements by using ultrasonic treatment at 40kHz and 30min. The original surface morphology and chemical properties of the microplastics could be retained to a greater extent using ultrasonic treatment which avoided complicated pipetting and standing operations. This method had no secondary breakage risk for microplastics and led to a final recovery rate of 92.9%. By optimizing the separation and detection method, the total reagent cost of single separation was reduced by more than 80%, and the separation time was shortened by more than 12hours. Obviously, the optimized separation approach proposed in this study would provide a solution to rapidly and accurately evaluating the abundance of microplastics from mulch filmed soils.
白润昊, 崔吉晓, 范瑞琪, 李真, 杨扬, 刘宏金, 何文清. 农田土壤地膜源微塑料分离检测方法优化[J]. 中国环境科学, 2023, 43(5): 2404-2412.
BAI Run-hao, CUI Ji-xiao, FAN Rui-qi, LI Zhen, YANG Yang, LIU Hong-jin, HE Wen-qing. Optimization of the separation and detection method for microplastics from mulch film in agricultural soils. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(5): 2404-2412.
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