Zhong M Y, Khan K Y, Fu L J, Xia Q, Tang H, Qu H J, Yuan S, Tan J L, Guo Y
Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, 214122 Wuxi, China.
Institute of Environment and Ecology, Institute of Environmental Health and Ecological Security, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, China.
Photosynthetica. 2022 Sep 20;60(4):489-496. doi: 10.32615/ps.2022.035. eCollection 2022.
Large amounts of antibiotics and microplastics are used in daily life and agricultural production, which affects not only plant growth but also potentially the food safety of vegetables and other plant products. Fast detection of the presence of antibiotics and microplastics in leafy vegetables is of great interest to the public. In this work, a method was developed to detect sulfadiazine and polystyrene, commonly used antibiotics and microplastics, in vegetables by measuring and modeling photosystem II chlorophyll fluorescence (ChlF) emission from leaves. L., a common beverage and medicinal plant, was used to verify the developed method. Scanning electron microscopy, transmission electron microscopy, and liquid chromatograph-mass spectrometer analysis were used to show the presence of the two pollutants in the samples. The developed kinetic model could describe measured ChlF variations with an average relative error of 0.6%. The model parameters estimated for the chlorophyll fluorescence induction kinetics curve (OJIP) induction can differentiate the two types of stresses while the commonly used ChlF OJIP induction characteristics cannot. This work provides a concept to detect antibiotic pollutants and microplastic pollutants in vegetables based on ChlF.
日常生活和农业生产中使用了大量抗生素和微塑料，这不仅影响植物生长，还可能影响蔬菜及其他植物产品的食品安全。快速检测叶菜类蔬菜中抗生素和微塑料的存在受到公众的极大关注。在这项工作中，开发了一种通过测量和模拟叶片光系统II叶绿素荧光（ChlF）发射来检测蔬菜中常用抗生素磺胺嘧啶和微塑料聚苯乙烯的方法。使用常见的饮料和药用植物薄荷（Mentha haplocalyx Briq.）来验证所开发的方法。利用扫描电子显微镜、透射电子显微镜和液相色谱 - 质谱仪分析来显示样品中两种污染物的存在。所开发的动力学模型能够描述测得的ChlF变化，平均相对误差为0.6%。为叶绿素荧光诱导动力学曲线（OJIP）诱导估计的模型参数可以区分这两种胁迫类型，而常用的ChlF OJIP诱导特征则无法做到。这项工作提供了一种基于ChlF检测蔬菜中抗生素污染物和微塑料污染物的概念。
