A new microbial biosensor for organic water pollution based on measurement of carbon dioxide production
As aerobic respiration proceeds it consumes oxygen and produces carbon dioxide; and the relation between these two parameters, the respiratory quotient (RQ), is related to the type of substances being respired. Therefore, for a given water or wastewater origin, a more or less stable RQ is expected,...
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paper:paper_09254005_v148_n1_p103_Chiappini2023-06-08T15:51:15Z A new microbial biosensor for organic water pollution based on measurement of carbon dioxide production BOD BODstCO2 BODSEED Carbon dioxide Potentiometry PVA Saccharomyces cerevisiae Aerobic respiration Amperometric electrodes Artificial wastewater Biological recognition Biosensor response BODSEED Detection limits Dry weight Linear range Membrane types Microbial biosensor Microbial communities Microbial loads Organic waters Potentiometric CO Potentiometry Production measurement Proof of concept PVA hydrogel Reproducibilities Respiratory quotients Saccharomyces cerevisiae Sample dilution Stabilization time Two parameter Biosensors Calibration Carbon dioxide Glucose Oxygen Polyvinyl alcohols Potentiometers (electric measuring instruments) Transducers Wastewater Water pollution Yeast Biochemical oxygen demand As aerobic respiration proceeds it consumes oxygen and produces carbon dioxide; and the relation between these two parameters, the respiratory quotient (RQ), is related to the type of substances being respired. Therefore, for a given water or wastewater origin, a more or less stable RQ is expected, making possible the estimation of BOD5 by means of CO2 production measurement. The microbial breathing intensity was continuously measured using a potentiometric CO2 electrode as transducer. We named this new biosensor BODstCO2. Proof of concept in this study was carried out with Saccharomyces cerevisiae or a BODSEED mixed microbial community as a biological recognition component. The effect of microbial load (0.5, 5, and 25 mg cm-2 membrane, dry weight) over the apparent linear range (up to 670 mg L-1 BOD5, 5 mg cm-2 membrane), detection limit (ca. 1 mg L-1 BOD5), stabilization time, reproducibility (typically better than 10%) and bio-membrane type (membrane or PVA hydrogel entrapment) were studied. When the Nernstian biosensor response was used for calibration, up to 20,000 mg L-1 glucose standard was measured without sample dilution. BOD calibrations were accomplished using the two more commonly used standard artificial wastewaters, GGA and OECD solutions. The results showed that the potentiometric CO2 electrode was an useful transducer, allowing us to build, calibrate and characterize a BOD-like biosensor. Moreover, limitations present at oxygen amperometric electrode (customarily used as BOD biosensor-based transducer) such as oxygen low solubility and its reduction at the cathode were avoided. © 2010 Elsevier B.V. All rights reserved. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09254005_v148_n1_p103_Chiappini http://hdl.handle.net/20.500.12110/paper_09254005_v148_n1_p103_Chiappini |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
BOD BODstCO2 BODSEED Carbon dioxide Potentiometry PVA Saccharomyces cerevisiae Aerobic respiration Amperometric electrodes Artificial wastewater Biological recognition Biosensor response BODSEED Detection limits Dry weight Linear range Membrane types Microbial biosensor Microbial communities Microbial loads Organic waters Potentiometric CO Potentiometry Production measurement Proof of concept PVA hydrogel Reproducibilities Respiratory quotients Saccharomyces cerevisiae Sample dilution Stabilization time Two parameter Biosensors Calibration Carbon dioxide Glucose Oxygen Polyvinyl alcohols Potentiometers (electric measuring instruments) Transducers Wastewater Water pollution Yeast Biochemical oxygen demand |
spellingShingle |
BOD BODstCO2 BODSEED Carbon dioxide Potentiometry PVA Saccharomyces cerevisiae Aerobic respiration Amperometric electrodes Artificial wastewater Biological recognition Biosensor response BODSEED Detection limits Dry weight Linear range Membrane types Microbial biosensor Microbial communities Microbial loads Organic waters Potentiometric CO Potentiometry Production measurement Proof of concept PVA hydrogel Reproducibilities Respiratory quotients Saccharomyces cerevisiae Sample dilution Stabilization time Two parameter Biosensors Calibration Carbon dioxide Glucose Oxygen Polyvinyl alcohols Potentiometers (electric measuring instruments) Transducers Wastewater Water pollution Yeast Biochemical oxygen demand A new microbial biosensor for organic water pollution based on measurement of carbon dioxide production |
topic_facet |
BOD BODstCO2 BODSEED Carbon dioxide Potentiometry PVA Saccharomyces cerevisiae Aerobic respiration Amperometric electrodes Artificial wastewater Biological recognition Biosensor response BODSEED Detection limits Dry weight Linear range Membrane types Microbial biosensor Microbial communities Microbial loads Organic waters Potentiometric CO Potentiometry Production measurement Proof of concept PVA hydrogel Reproducibilities Respiratory quotients Saccharomyces cerevisiae Sample dilution Stabilization time Two parameter Biosensors Calibration Carbon dioxide Glucose Oxygen Polyvinyl alcohols Potentiometers (electric measuring instruments) Transducers Wastewater Water pollution Yeast Biochemical oxygen demand |
description |
As aerobic respiration proceeds it consumes oxygen and produces carbon dioxide; and the relation between these two parameters, the respiratory quotient (RQ), is related to the type of substances being respired. Therefore, for a given water or wastewater origin, a more or less stable RQ is expected, making possible the estimation of BOD5 by means of CO2 production measurement. The microbial breathing intensity was continuously measured using a potentiometric CO2 electrode as transducer. We named this new biosensor BODstCO2. Proof of concept in this study was carried out with Saccharomyces cerevisiae or a BODSEED mixed microbial community as a biological recognition component. The effect of microbial load (0.5, 5, and 25 mg cm-2 membrane, dry weight) over the apparent linear range (up to 670 mg L-1 BOD5, 5 mg cm-2 membrane), detection limit (ca. 1 mg L-1 BOD5), stabilization time, reproducibility (typically better than 10%) and bio-membrane type (membrane or PVA hydrogel entrapment) were studied. When the Nernstian biosensor response was used for calibration, up to 20,000 mg L-1 glucose standard was measured without sample dilution. BOD calibrations were accomplished using the two more commonly used standard artificial wastewaters, GGA and OECD solutions. The results showed that the potentiometric CO2 electrode was an useful transducer, allowing us to build, calibrate and characterize a BOD-like biosensor. Moreover, limitations present at oxygen amperometric electrode (customarily used as BOD biosensor-based transducer) such as oxygen low solubility and its reduction at the cathode were avoided. © 2010 Elsevier B.V. All rights reserved. |
title |
A new microbial biosensor for organic water pollution based on measurement of carbon dioxide production |
title_short |
A new microbial biosensor for organic water pollution based on measurement of carbon dioxide production |
title_full |
A new microbial biosensor for organic water pollution based on measurement of carbon dioxide production |
title_fullStr |
A new microbial biosensor for organic water pollution based on measurement of carbon dioxide production |
title_full_unstemmed |
A new microbial biosensor for organic water pollution based on measurement of carbon dioxide production |
title_sort |
new microbial biosensor for organic water pollution based on measurement of carbon dioxide production |
publishDate |
2010 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09254005_v148_n1_p103_Chiappini http://hdl.handle.net/20.500.12110/paper_09254005_v148_n1_p103_Chiappini |
_version_ |
1768543617391001600 |