Photosynthetica 2022, 60(4):489-496 | DOI: 10.32615/ps.2022.035

Detection of antibiotic and microplastic pollutants in Chrysanthemum coronarium L. based on chlorophyll fluorescence

M.Y. ZHONG1, †, K.Y. KHAN1, 2, †, L.J. FU1, Q. XIA1, H. TANG3, H.J. QU1, S. YUAN1, J.L. TAN4, Y. GUO1
1 Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, 214122 Wuxi, China
2 Institute of Environment and Ecology, Institute of Environmental Health and Ecological Security, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, China
3 Lushixin Sci. & Tec. (Wuxi) Co. Ltd., 214124 Wuxi, China
4 Department of Bioengineering, University of Missouri, Columbia, MO 65211, USA

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 a fluorescence (ChlF) emission from leaves. Chrysanthemum coronarium 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 a 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.

Additional key words: antibiotics; food security; microplastics; modeling; OJIP transients; vegetable quality detection.

Received: April 14, 2022; Revised: June 14, 2022; Accepted: July 26, 2022; Prepublished online: September 20, 2022; Published: December 21, 2022  Show citation

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ZHONG, M.Y., KHAN, K.Y., FU, L.J., XIA, Q., TANG, H., QU, H.J., ... GUO, Y. (2022). Detection of antibiotic and microplastic pollutants in Chrysanthemum coronarium L. based on chlorophyll fluorescence. Photosynthetica, 60(4), 489-496. doi: 10.32615/ps.2022.035
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