A novel biosensor-based method for the detection of p-nitrophenol in agricultural soil. (February 2023)

• Record Type: Journal Article
• Authors: Ma, Zhao; Li, Yuanbo; Lu, Zhongyi; Pan, Jie; Li, Meng
• Is Part Of: Chemosphere. Volume 313(2023)
• Publication Date: 2023-02
• Subjects: Biosensors -- p-Nitrophenol -- pobR1-3 gene -- Detection -- Soil; Pollution -- Periodicals; Pollution -- Physiological effect -- Periodicals; Environmental sciences -- Periodicals; Atmospheric chemistry -- Periodicals; 551.511
• DOI: 10.1016/j.chemosphere.2022.137306
• Languages: English
• ISSNs: 0045-6535

Abstract

Abstract: Directly measurement of the bioavailable concentration of soil contaminants is essential for their accurate risk assessment. In this study, we successfully modified and identified the key genetic elements ( pob R1-3) for the bio-detection of p -nitrophenol and synthesized five novel whole-cell biosensors ( Escherichia coli BL21/pPNP-mrfp, E. coli BL21/pPNP-CFP, E. coli BL21/pPNP-YFP, E. coli BL21/pPNP-GFP, and E. coli BL21/pPNP-amilCP) to directly detect the concentration of p -nitrophenol in soils. These biosensor methods contained a simple biosensor activation and sample extraction step, a cost-effective detection means, and a fast detection process (5 h) by using a 96-microwell plate with a low background value and high-reliability equation for p -nitrophenol detection. These biosensors had a detection limit of 6.21–25.2 μg/kg and a linear range of 10–10000 μg/kg for p -nitrophenol in four soils. All biosensors showed better detection performance in the detection of p -nitrophenol in soil samples. The biosensors method can help to quickly and directly assess the actual bioavailable fractions of p -nitrophenol in soils, thus facilitating to understand the environmental cycling of p -nitrophenol. Graphical abstract: Image 1 Highlights: E. coli BL21contained functional plasmids were used to detect p -nitrophenol. New developed biosensor method is simple and fast to quantify p -nitrophenol in soils. Using pobR1-3 gene greatly reduces the background value of biosensor detection. The new method can directly assess the bioavailable fraction of p -nitrophenol in soils.