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Wang L, Zhou W, Zhang M, Zheng Z, Zhao S, Xing C, Jia J, Liu C. Environmental ammonia analysis based on exclusive nitrification by nitrifying biofilm screened from natural bioresource. CHEMOSPHERE 2023; 336:139221. [PMID: 37327822 DOI: 10.1016/j.chemosphere.2023.139221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 06/09/2023] [Accepted: 06/13/2023] [Indexed: 06/18/2023]
Abstract
Biofilm-based biological nitrification is widely used for ammonia removal, while hasn't been explored for ammonia analysis. The stumbling block is the coexist of nitrifying and heterotrophic microbes in real environment resulting in non-specific sensing. Herein, an exclusive ammonia sensing nitrifying biofilm was screened from natural bioresource, and a bioreaction-detection system for the on-line analysis of environmental ammonia based on biological nitrification was reported. The nitrifying microbes were aggregated into a nitrifying biofilm through a result-oriented bioresource enrichment strategy. The predominant nitrifying population and progressive surface reaction in the plug flow bioreactor led to the exclusive and exhaustive ammonia biodegradation for the establishment of a novel analytical method. The on-line ammonia monitoring prototype achieved complete biodegradation for determining ammonium nitrogen within 5 min and showed exceptional reliability in long-term real sample measurements without frequent calibration. This work offers a low-threshold natural screening paradigm for developing sustainable bioresource-based analytical technologies.
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Affiliation(s)
- Liang Wang
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, 529000, China
| | - Wuping Zhou
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, 529000, China
| | - Mengchen Zhang
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, 529000, China.
| | - Zehua Zheng
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, 529000, China
| | - Song Zhao
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, 529000, China
| | - Chao Xing
- UQ Dow Center, School of Chemical Engineering, The University of Queensland, St Lucia, 4072, Australia
| | - Jianbo Jia
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, 529000, China
| | - Changyu Liu
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, 529000, China.
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A Universal Biofilm Reactor Sensor for the Determination of Biochemical Oxygen Demand of Different Water Areas. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27155046. [PMID: 35956996 PMCID: PMC9370119 DOI: 10.3390/molecules27155046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/02/2022] [Accepted: 08/05/2022] [Indexed: 11/16/2022]
Abstract
In this study, we developed a simple strategy to prepare a biofilm reactor (BFR) sensor for the universal biochemical oxygen demand (BOD) determination. The microorganisms in fresh water were domesticated by artificial seawater with different salinity gradients successively to prepare the BFR sensor. The prepared BFR sensor exhibits an efficient ability to degrade a variety of organic substances. The linear range of BOD determination by the BFR sensor is 1.0–10.0 mg/L−1 with a correlation coefficient of 0.9951. The detection limit is 0.30 mg/L according to three times of signal-to-noise ratio. What is more, the BFR sensor displayed excellent performances for the BOD determination of different water samples, including both fresh water and seawater. The 16S-rRNA gene sequencing technology was used to analyze the microbial species before and after the domestication. The results show that it is a general approach for the rapid BOD determination in different water samples.
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