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Xue J, Wang Y, Jing Y, Li X, Chen S, Xu Y, Song RB. Recent advances in microbial fuel cell-based self-powered biosensors: a comprehensive exploration of sensing strategies in both anode and cathode modes. Anal Bioanal Chem 2024; 416:4649-4662. [PMID: 38457006 DOI: 10.1007/s00216-024-05230-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 02/09/2024] [Accepted: 02/26/2024] [Indexed: 03/09/2024]
Abstract
With the rapid development of society, it is of paramount importance to expeditiously assess environmental pollution and provide early warning of toxicity risks. Microbial fuel cell-based self-powered biosensors (MFC-SPBs) have emerged as a pivotal technology, obviating the necessity for external power sources and aligning with the prevailing trends toward miniaturization and simplification in biosensor development. In this case, vigorous advancements in MFC-SPBs have been acquired in past years, irrespective of whether the target identification event transpires at the anode or cathode. The present article undertakes a comprehensive review of developed MFC-SPBs, categorizing them into substrate effect and microbial activity effect based on the nature of the target identification event. Furthermore, various enhancement strategies to improve the analytical performance like accuracy and sensitivity are also outlined, along with a discussion of future research trends and application prospects of MFC-SPBs for their better developments.
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Affiliation(s)
- Junjun Xue
- Henan Joint International Research Laboratory of Green Construction of Functional Molecules and Their Bioanalytical Applications, Zhengzhou Key Laboratory of Functional Nanomaterial and Medical Theranostic, Zhengzhou University, Zhengzhou, China
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, China
| | - Yuxin Wang
- Henan Joint International Research Laboratory of Green Construction of Functional Molecules and Their Bioanalytical Applications, Zhengzhou Key Laboratory of Functional Nanomaterial and Medical Theranostic, Zhengzhou University, Zhengzhou, China
| | - Yuanyuan Jing
- Henan Joint International Research Laboratory of Intelligent Water Treatment System, Qingshuiyuan Technology Co., Ltd., Jiyuan, China
| | - Xiaoxuan Li
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, China
| | - Suping Chen
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, China
| | - Ying Xu
- Henan Joint International Research Laboratory of Green Construction of Functional Molecules and Their Bioanalytical Applications, Zhengzhou Key Laboratory of Functional Nanomaterial and Medical Theranostic, Zhengzhou University, Zhengzhou, China.
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, China.
| | - Rong-Bin Song
- Henan Joint International Research Laboratory of Green Construction of Functional Molecules and Their Bioanalytical Applications, Zhengzhou Key Laboratory of Functional Nanomaterial and Medical Theranostic, Zhengzhou University, Zhengzhou, China.
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, China.
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Yang Q, Lai M, Liu D, Zhang J, Zhang Y, Liu C, Xu X, Jia J. Biosensor nanostructures based on dual-chamber microbial fuel cells for rapid determination of biochemical oxygen demand and microbial community analysis. J Solid State Electrochem 2022. [DOI: 10.1007/s10008-022-05351-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Arlyapov VA, Plekhanova YV, Kamanina OA, Nakamura H, Reshetilov AN. Microbial Biosensors for Rapid Determination of Biochemical Oxygen Demand: Approaches, Tendencies and Development Prospects. BIOSENSORS 2022; 12:842. [PMID: 36290979 PMCID: PMC9599453 DOI: 10.3390/bios12100842] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/23/2022] [Accepted: 10/01/2022] [Indexed: 06/16/2023]
Abstract
One of the main indices of the quality of water is the biochemical oxygen demand (BOD). A little over 40 years have passed since the practical application of the first microbial sensor for the determination of BOD, presented by the Japanese professor Isao Karube. This time span has brought new knowledge to and practical developments in the use of a wide range of microbial cells based on BOD biosensors. At present, this field of biotechnology is becoming an independent discipline. The traditional BOD analysis (BOD5) has not changed over many years; it takes no less than 5 days to carry out. Microbial biosensors can be used as an alternative technique for assessing the BOD attract attention because they can reduce hundredfold the time required to measure it. The review examines the experience of the creation and practical application of BOD biosensors accumulated by the international community. Special attention is paid to the use of multiple cell immobilization methods, signal registration techniques, mediators and cell consortia contained in the bioreceptor. We consider the use of nanomaterials in the modification of analytical devices developed for BOD evaluation and discuss the prospects of developing new practically important biosensor models.
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Affiliation(s)
- Vyacheslav A. Arlyapov
- Laboratory of Biologically Active Compounds and Biocomposites, Federal State Budgetary Educational Establishment of Higher Education “Tula State University”, 300012 Tula, Russia
| | - Yulia V. Plekhanova
- Pushchino Center for Biological Research of the Russian Academy of Sciences, G.K. Skryabin Institute of Biochemistry and Physiology of Microorganisms, Russian Academy of Sciences, 142290 Pushchino, Russia
| | - Olga A. Kamanina
- Laboratory of Biologically Active Compounds and Biocomposites, Federal State Budgetary Educational Establishment of Higher Education “Tula State University”, 300012 Tula, Russia
| | - Hideaki Nakamura
- Department of Liberal Arts, Tokyo University of Technology, 1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan
| | - Anatoly N. Reshetilov
- Pushchino Center for Biological Research of the Russian Academy of Sciences, G.K. Skryabin Institute of Biochemistry and Physiology of Microorganisms, Russian Academy of Sciences, 142290 Pushchino, Russia
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Ngoc LTB, Tu TA, Hien LTT, Linh DN, Tri N, Duy NPH, Cuong HT, Phuong PTT. Simple approach for the rapid estimation of BOD 5 in food processing wastewater. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:20554-20564. [PMID: 32274695 DOI: 10.1007/s11356-020-08703-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 03/31/2020] [Indexed: 06/11/2023]
Abstract
A simple approach was developed for the rapid and accurate estimation of 5-day biochemical oxygen demand (BOD5) in food processing wastewater. Immobilization of the natural microbial consortium that was collected from an aerobic compartment of a food processing wastewater treatment plant was simply performed by adhesion using a low-cost porous carrier. Pseudomonas aeruginosa, Bacillus cereus, and Streptomyces, whose salt-tolerance and ability to break down organic compounds have been widely reported, were found to be predominant. These microorganisms may cause an enhancement of the bioreactor response in the presence of sodium chloride. Consequently, a modified glucose-glutamic acid (GGA) calibration standard was proposed in which an appropriate amount of NaCl was added; this solution was found to be more effective in terms of accuracy and practicality than both conventional GGA and the synthetic wastewater recipe from the Organisation for Economic Cooperation and Development (OECD). The calibrated self-built packed-bed bioreactor exhibited good precision of 3% or less in predicting BOD5 in influent, which is similar to the performance of the most common commercial biochemical oxygen demand (BOD) bioreactors. There was a statistical agreement between the results obtained from this rapid BOD biosensor and the conventional methods, even when testing treated wastewater samples.
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Affiliation(s)
- Le Thi Bao Ngoc
- Ho Chi Minh City University of Science, 227 Nguyen Van Cu Street, District 5, Ho Chi Minh City, Vietnam
- Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam
- Vietnam Academy of Science and Technology-Institute of Chemical Technology, 1 Mac Dinh Chi Street, District 1, Ho Chi Minh City, Vietnam
| | - Tran Anh Tu
- Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam
| | - Luu Thi Thanh Hien
- Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam
| | - Duong Nhat Linh
- Ho Chi Minh City Open University, 97 Vo Van Tan Street, District 3, Ho Chi Minh City, Vietnam
| | - Nguyen Tri
- Vietnam Academy of Science and Technology-Institute of Chemical Technology, 1 Mac Dinh Chi Street, District 1, Ho Chi Minh City, Vietnam
- Ho Chi Minh City Open University, 97 Vo Van Tan Street, District 3, Ho Chi Minh City, Vietnam
| | - Nguyen Phuc Hoang Duy
- Vietnam Academy of Science and Technology-Institute of Chemical Technology, 1 Mac Dinh Chi Street, District 1, Ho Chi Minh City, Vietnam
| | - Hoang Tien Cuong
- Vietnam Academy of Science and Technology-Institute of Chemical Technology, 1 Mac Dinh Chi Street, District 1, Ho Chi Minh City, Vietnam
| | - Pham Thi Thuy Phuong
- Vietnam Academy of Science and Technology-Institute of Chemical Technology, 1 Mac Dinh Chi Street, District 1, Ho Chi Minh City, Vietnam.
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Wang S, Tian S, Zhang P, Ye J, Tao X, Li F, Zhou Z, Nabi M. Enhancement of biological oxygen demand detection with a microbial fuel cell using potassium permanganate as cathodic electron acceptor. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2019; 252:109682. [PMID: 31610444 DOI: 10.1016/j.jenvman.2019.109682] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 09/20/2019] [Accepted: 10/05/2019] [Indexed: 06/10/2023]
Abstract
When dual-chamber microbial fuel cell (MFC) is used to detect biochemical oxygen demand (BOD), dissolved oxygen is traditionally used as cathodic electron acceptor. The detection limit of this MFC-based BOD biosensor is usually lower than 200 mg/L. In this paper, the startup of MFC-based BOD biosensor was researched and the external resistor of MFC was optimized. Results showed that the MFC started up with the dissolved oxygen as cathodic electron acceptor within 10 d, and the external resistor was optimized as 500 Ω to ensure the maximum output power of MFC. Dissolved oxygen and potassium permanganate (KMnO4) were used as cathodic electron acceptor to run MFC for detection of wastewater BOD, and the performances of two kinds of BOD biosensors were compared. The MFC-based BOD biosensor using KMnO4 (10 mmol/L) as cathodic electron acceptor exhibited an excellent performance, compared with that using dissolved oxygen. The upper limit of BOD detection was greatly broadened to 500 mg/L, the response time was shortened by 50% for artificial wastewater with a BOD of 100 mg/L, and the relative error of BOD detection was reduced to less than 10%. The MFC-based BOD biosensor using KMnO4 as cathodic electron acceptor showed a better linear relationship (R2 > 0.992) between the electric charge and BOD concentration within a BOD range of 25-500 mg/L. The MFC-based BOD biosensor using the KMnO4 as cathodic electron acceptor is promising with a better application prospect.
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Affiliation(s)
- Siqi Wang
- Beijing Key Lab for Source Control Technology of Water Pollution, Beijing Forestry University, Beijing, 100083, China
| | - Shuai Tian
- Beijing Key Lab for Source Control Technology of Water Pollution, Beijing Forestry University, Beijing, 100083, China
| | - Panyue Zhang
- Beijing Key Lab for Source Control Technology of Water Pollution, Beijing Forestry University, Beijing, 100083, China.
| | - Junpei Ye
- Beijing Key Lab for Source Control Technology of Water Pollution, Beijing Forestry University, Beijing, 100083, China
| | - Xue Tao
- Beijing Key Lab for Source Control Technology of Water Pollution, Beijing Forestry University, Beijing, 100083, China
| | - Fan Li
- Beijing Key Lab for Source Control Technology of Water Pollution, Beijing Forestry University, Beijing, 100083, China
| | - Zeyan Zhou
- Beijing Key Lab for Source Control Technology of Water Pollution, Beijing Forestry University, Beijing, 100083, China
| | - Mohammad Nabi
- Beijing Key Lab for Source Control Technology of Water Pollution, Beijing Forestry University, Beijing, 100083, China
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Jouanneau S, Grangé E, Durand MJ, Thouand G. Rapid BOD assessment with a microbial array coupled to a neural machine learning system. WATER RESEARCH 2019; 166:115079. [PMID: 31539666 DOI: 10.1016/j.watres.2019.115079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 09/04/2019] [Accepted: 09/09/2019] [Indexed: 06/10/2023]
Abstract
The domestic usage of water generates approximately 310 km3 of wastewater worldwide (2015, AQUASTAT, Food and Agriculture Organization of United Nations). This sewage contains an important organic load due to the use of this water; this organic load is characterized using a standard method, namely, the biological oxygen demand measurement (BOD5). The BOD5 provides information about the biodegradable organic load (standard ISO 5815). However, this measurement protocol is very time-consuming (5 days) and may produce variability in approximately 20% of results mainly due to variation in the environmental inocula. To remedy these limitations, this work proposes an innovative concept relying on the implementation of a set of rigorously selected bacterial strains. This publication depicts the different steps used in this study, from bio-indicator selection to validation with real wastewater samples. The results obtained in the final step show a strong correlation between the developed approach and the reference method (ISO 5815) with a correlation rate of approximately 0.9. In addition, the optimization of the experimental conditions and the use of controlled strains (8 selected strains) allow significant reduction in the duration of the BOD5 analysis, with only 3 h required for the proposed method versus 5 days for the reference method. This technological breakthrough should simplify the monitoring of wastewater treatment plants and provide quicker, easier and more coherent control in terms of the treatment time.
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Affiliation(s)
- Sulivan Jouanneau
- University of Nantes, UMR CNRS 6144 GEPEA, 18 Boulevard Gaston Defferre, 85035, La Roche sur Yon, France.
| | - Emilie Grangé
- University of Nantes, UMR CNRS 6144 GEPEA, 18 Boulevard Gaston Defferre, 85035, La Roche sur Yon, France
| | - Marie-José Durand
- University of Nantes, UMR CNRS 6144 GEPEA, 18 Boulevard Gaston Defferre, 85035, La Roche sur Yon, France
| | - Gérald Thouand
- University of Nantes, UMR CNRS 6144 GEPEA, 18 Boulevard Gaston Defferre, 85035, La Roche sur Yon, France.
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Li Y, Sun J, Wang J, Bian C, Tong J, Li Y, Xia S. A microbial electrode based on the co-electrodeposition of carboxyl graphene and Au nanoparticles for BOD rapid detection. Biochem Eng J 2017. [DOI: 10.1016/j.bej.2017.03.015] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Jouanneau S, Recoules L, Durand MJ, Boukabache A, Picot V, Primault Y, Lakel A, Sengelin M, Barillon B, Thouand G. Methods for assessing biochemical oxygen demand (BOD): a review. WATER RESEARCH 2014; 49:62-82. [PMID: 24316182 DOI: 10.1016/j.watres.2013.10.066] [Citation(s) in RCA: 133] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Revised: 10/21/2013] [Accepted: 10/25/2013] [Indexed: 05/13/2023]
Abstract
The Biochemical Oxygen Demand (BOD) is one of the most widely used criteria for water quality assessment. It provides information about the ready biodegradable fraction of the organic load in water. However, this analytical method is time-consuming (generally 5 days, BOD5), and the results may vary according to the laboratory (20%), primarily due to fluctuations in the microbial diversity of the inoculum used. Work performed during the two last decades has resulted in several technologies that are less time-consuming and more reliable. This review is devoted to the analysis of the technical features of the principal methods described in the literature in order to compare their performances (measuring window, reliability, robustness) and to identify the pros and the cons of each method.
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Affiliation(s)
- S Jouanneau
- University of Nantes, UMR CNRS 6144 GEPEA CBAC, Campus de la Courtaisière, IUT, 18 Bd G. Defferre, 85035 La Roche sur Yon, France
| | - L Recoules
- LAAS-CNRS, 7, Avenue du Colonel Roche, BP 54200, 31031 Toulouse cedex 4, France; BIONEF, 73 rue de la Plaine, 75020 Paris, France
| | - M J Durand
- University of Nantes, UMR CNRS 6144 GEPEA CBAC, Campus de la Courtaisière, IUT, 18 Bd G. Defferre, 85035 La Roche sur Yon, France
| | - A Boukabache
- LAAS-CNRS, 7, Avenue du Colonel Roche, BP 54200, 31031 Toulouse cedex 4, France
| | - V Picot
- LAAS-CNRS, 7, Avenue du Colonel Roche, BP 54200, 31031 Toulouse cedex 4, France
| | - Y Primault
- BIONEF, 73 rue de la Plaine, 75020 Paris, France
| | - A Lakel
- CSTB, 11 rue Henri Picherit, BP 82341, 44323 Nantes Cedex 3, France
| | - M Sengelin
- Sotralentz, 3 rue de Bettwiller, BP 10028, 67320 Drulingen, France
| | - B Barillon
- SUEZ Environment, 38, Rue du Président Wilson, 78230 LE PECQ, France
| | - G Thouand
- University of Nantes, UMR CNRS 6144 GEPEA CBAC, Campus de la Courtaisière, IUT, 18 Bd G. Defferre, 85035 La Roche sur Yon, France.
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Verma N, Singh AK. Development of biological oxygen demand biosensor for monitoring the fermentation industry effluent. ISRN BIOTECHNOLOGY 2012; 2013:236062. [PMID: 25969770 PMCID: PMC4403562 DOI: 10.5402/2013/236062] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2012] [Accepted: 10/19/2012] [Indexed: 11/24/2022]
Abstract
A biosensor was developed for the determination of BOD value of fermentation industry effluent. The developed biosensor was fabricated by immobilizing the microbial consortium on cellulose acetate (CA) membrane in close proximity to a DO probe electrode. The microbial consortium was harvested from the fermentation industry effluent. The BOD biosensor was calibrated by using a solution containing the equivalent amount of glucose/glutamic acid (GGA) as a standard sample solution. The response time was optimized by immobilizing different concentrations of cell biomass on CA membrane. Once the response time was optimized, it was used for determination of BOD of fermentation industry effluent. For analysis of fermentation industry effluent, the response time was observed 7 minutes with detection limit 1 mg/L. Good linear range with GGA standard solution was observed, R2 0.99 with relative standard deviation (RSD) <%. The observed BOD value by biosensor showed a good comparison with the conventional method for the determination of BOD.
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Affiliation(s)
- Neelam Verma
- Department of Biotechnology, Punjabi University Patiala, Punjab, Patiala 147 002, India
| | - Ashish Kumar Singh
- Department of Biotechnology, Punjabi University Patiala, Punjab, Patiala 147 002, India
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Chu PT, Lin CS, Chen WJ, Chen CF, Wen HW. Detection of gliadin in foods using a quartz crystal microbalance biosensor that incorporates gold nanoparticles. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2012; 60:6483-6492. [PMID: 22694361 DOI: 10.1021/jf2047866] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
This work develops a label-free gliadin immunosensor that is based on changes in the frequency of a quartz crystal microbalance (QCM) chip. A higher sensitivity was obtained by applying 25 nm gold nanoparticles (AuNPs) to the surface of a bare QCM electrode. Subsequently, chicken anti-gliadin antibodies (IgY) were immobilized directly on the AuNP-modified surface by cross-linking amine groups in IgY with glutaraldehyde. Experimental results revealed that the change in frequency exhibited when 2 ppm gliadin was bound to the AuNP-modified electrode was 35 Hz (48%) greater than that of the bare gold electrode. The linear dynamic range in 60% ethanol was from 1 × 10(1) to 2 × 10(5) ppb gliadin, and the calculated limit of detection (LOD) was 8 ppb. The entire detection process was completed in 40 min and was highly repeatable. Additionally, the AuNP-modified QCM system generated results in the detection of gliadin in 10 commercial food products that were consistent with those obtained using an AOAC-approved gliadin kit. In conclusion, the QCM platform provides a potential alternative means of ensuring that people with wheat allergies and celiac patients have access to gliadin-free food.
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Affiliation(s)
- Pei-Tzu Chu
- Department of Food Science and Biotechnology, National Chung Hsing University, Taichung, Taiwan, Republic of China
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Raud M, Tutt M, Jõgi E, Kikas T. BOD biosensors for pulp and paper industry wastewater analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2011; 19:3039-3045. [PMID: 22374188 DOI: 10.1007/s11356-012-0817-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2011] [Accepted: 02/09/2012] [Indexed: 05/31/2023]
Abstract
INTRODUCTION Two semi-specific microbial biosensors were constructed for the analysis of biochemical oxygen demand (BOD) in high-cellulose-content pulp and paper industry wastewaters. The biosensors were based on living cells of Bacillus subtilis and Paenibacillus sp. immobilized in an agarose gel matrix. Semi-specific microorganisms were isolated from various samples (decaying sawdust and rabbit manure) and were chosen based on their ability to assimilate cellulose. MATERIALS & METHODS The biosensors were calibrated with the Organization for Economic Cooperation and Development synthetic wastewater, and measurements with different wastewaters were conducted. RESULTS The response time of biosensors using the steady-state method was 20-25 min, and the service life of immobilized microorganisms was 96 days. Detection limit was 5 mg/l of BOD(7) while linear ranges extended up to 55 and 50 mg/l of the BOD(7) for B. subtilis- and Paenibacillus sp.-based biosensors, respectively. Repeatability and reproducibility of both biosensors were within the limits set by APHA-less than 15.4%. In comparison, both biosensors overestimated the BOD(7) values in paper mill wastewaters and underestimated the BOD(7) in aspen pulp mill wastewater. CONCLUSIONS The semi-specific biosensors are suitable for the estimation of organic pollution derived from cellulose, while the detection of pollution derived from tannins and lignins was minor. Better results in terms of accuracy and repeatability were gained with Paenibacillus sp. biosensor.
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Affiliation(s)
- Merlin Raud
- Institute of Chemistry, University of Tartu, Ravila 14a, 50411, Tartu, Estonia.
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Assessing the effect of oxygen and microbial inhibitors to optimize ferricyanide-mediated BOD assay. Talanta 2011; 85:455-62. [DOI: 10.1016/j.talanta.2011.04.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2010] [Revised: 04/01/2011] [Accepted: 04/04/2011] [Indexed: 11/22/2022]
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