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• W4376619183 endingPage "124671" @default.
• W4376619183 startingPage "124671" @default.
• W4376619183 abstract "Biochemical oxygen demand (BOD) is a water quality parameter of vital importance. Rapid BOD analysis methods have emerged to simplify the five-day BOD (BOD5) measurement protocol. However, their universal implementations are restricted by the tricky environmental matrix (including environmental microbes, contaminants, ionic compositions, etc.). Here, an in situ and self-adaptive BOD bioreaction sensing system consisting of a gut-like microfluidic coil bioreactor with self-renewed biofilm was proposed for the establishment of a rapid, resilient and reliable BOD determination method. With the spontaneous surface adhesion of environmental microbial populations, the biofilm was colonized in situ on the inner surface of the microfluidic coil bioreactor. Exploiting the environmental domestication during every real sample measurement, the biofilm was capable of self-renewal to adapt to the environmental changes and exhibited representative biodegradation behaviors. The aggregated abundant, adequate and adapted microbial populations in the BOD bioreactor rendered a total organic carbon (TOC) removal rate of 67.7% within a short hydraulic retention time of 99 s. As validated by an online BOD prototype, exceptional analytical performance was achieved in terms of reproducibility (relative standard deviation of 3.7%), survivability (inhibition by pH and metal ion interference of <20%) and accuracy (relative error of -5.9% to 9.7%). This work rediscovered the interactive effects of the environmental matrix on BOD assays and demonstrated an instructive attempt by making use of the environment to develop practical online BOD monitoring devices for water quality assessments." @default.
• W4376619183 created "2023-05-17" @default.
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• W4376619183 date "2023-08-01" @default.
• W4376619183 modified "2023-09-27" @default.
• W4376619183 title "In situ and self-adaptive BOD bioreaction sensing system based on environmentally domesticated microbial populations" @default.
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• W4376619183 doi "https://doi.org/10.1016/j.talanta.2023.124671" @default.
• W4376619183 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37201342" @default.
• W4376619183 hasPublicationYear "2023" @default.
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