Development of a mathematical model for the anaerobic digestion of antibiotic-contaminated wastewater
[Display omitted] •A mathematical model was developed to describe sulfamethazine degradation.•The model was divided into two major stages: acids formation and consumption.•Three hypotheses for sulfamethazine degradation were considered.•A long-term quantification of the influent variations effects w...
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Veröffentlicht in: | Chemical engineering research & design 2018-06, Vol.134, p.319-335 |
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creator | Fonseca, Rafael Frederico Oliveira, Guilherme Henrique Duarte de Zaiat, Marcelo |
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•A mathematical model was developed to describe sulfamethazine degradation.•The model was divided into two major stages: acids formation and consumption.•Three hypotheses for sulfamethazine degradation were considered.•A long-term quantification of the influent variations effects was developed.•8μg of SMZ had a similar impact on the process as 1000mg of filtered COD.
Anaerobic digestion has been investigated as a potential method for treating antibiotic-contaminated livestock wastewaters. Antibiotic removal is mainly associated with biodegradation and sludge adsorption. In environmental concentrations, i.e., from ngL−1 to a few hundred μgL−1, cometabolism is the most likely biodegradation pathway. The overall performance of anaerobic processes may be affected by the hydraulic retention time, and these processes are strongly related to the physical characteristics of the reactor and variations in influent chemical composition. The effects of these factors can be better understood using a mathematical model. Therefore, this paper aimed to develop a model to describe an anaerobic process to treat sulfamethazine (SMZ), which was divided into two stages of microorganism growth and substrate consumption. In addition, three hypotheses regarding sulfamethazine degradation, including substrate cometabolism related to both stages and an apparent enzymatic reaction, were evaluated. A long-term kinetics structure was added to the model to simulate the process of adaptation to each new operational condition. The results showed that sudden increases in chemical oxygen demand (COD) and hydraulic retention time (HRT) had the most significant negative impact on process performance. In addition, a sudden variation of 8μg of SMZ had a similar impact on the process as did 1000mg of filtered COD. Of the degradation hypotheses, the hypothesis related to organic acid consumption was more accurate than that related to hydrolysis; however, neither could account for the response to variations in HRT. The enzymatic approach resulted in a considerably more accurate representation of the influent flow rate variations than did the cometabolic hypotheses. |
doi_str_mv | 10.1016/j.cherd.2018.04.014 |
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•A mathematical model was developed to describe sulfamethazine degradation.•The model was divided into two major stages: acids formation and consumption.•Three hypotheses for sulfamethazine degradation were considered.•A long-term quantification of the influent variations effects was developed.•8μg of SMZ had a similar impact on the process as 1000mg of filtered COD.
Anaerobic digestion has been investigated as a potential method for treating antibiotic-contaminated livestock wastewaters. Antibiotic removal is mainly associated with biodegradation and sludge adsorption. In environmental concentrations, i.e., from ngL−1 to a few hundred μgL−1, cometabolism is the most likely biodegradation pathway. The overall performance of anaerobic processes may be affected by the hydraulic retention time, and these processes are strongly related to the physical characteristics of the reactor and variations in influent chemical composition. The effects of these factors can be better understood using a mathematical model. Therefore, this paper aimed to develop a model to describe an anaerobic process to treat sulfamethazine (SMZ), which was divided into two stages of microorganism growth and substrate consumption. In addition, three hypotheses regarding sulfamethazine degradation, including substrate cometabolism related to both stages and an apparent enzymatic reaction, were evaluated. A long-term kinetics structure was added to the model to simulate the process of adaptation to each new operational condition. The results showed that sudden increases in chemical oxygen demand (COD) and hydraulic retention time (HRT) had the most significant negative impact on process performance. In addition, a sudden variation of 8μg of SMZ had a similar impact on the process as did 1000mg of filtered COD. Of the degradation hypotheses, the hypothesis related to organic acid consumption was more accurate than that related to hydrolysis; however, neither could account for the response to variations in HRT. The enzymatic approach resulted in a considerably more accurate representation of the influent flow rate variations than did the cometabolic hypotheses.</description><identifier>ISSN: 0263-8762</identifier><identifier>EISSN: 1744-3563</identifier><identifier>DOI: 10.1016/j.cherd.2018.04.014</identifier><language>eng</language><publisher>Rugby: Elsevier B.V</publisher><subject>Anaerobic digestion ; Anaerobic processes ; Anaerobic treatment ; Antibiotics ; Biodegradation ; Chemical composition ; Chemical oxygen demand ; Composition effects ; Computer simulation ; Flow velocity ; Hydraulic retention time ; Hypotheses ; Livestock ; Long-term modeling ; Mathematical analysis ; Mathematical modeling ; Mathematical models ; Organic chemistry ; Physical properties ; Reaction kinetics ; Sludge ; Substrates ; Sulfamethazine degradation ; Wastewater ; Water treatment</subject><ispartof>Chemical engineering research & design, 2018-06, Vol.134, p.319-335</ispartof><rights>2018 Institution of Chemical Engineers</rights><rights>Copyright Elsevier Science Ltd. Jun 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-33fc464d880212e8c8bf1873b017e35157f6547d7fc81ef104514651f64f7e3f3</citedby><cites>FETCH-LOGICAL-c368t-33fc464d880212e8c8bf1873b017e35157f6547d7fc81ef104514651f64f7e3f3</cites><orcidid>0000-0003-3419-8265</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.cherd.2018.04.014$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Fonseca, Rafael Frederico</creatorcontrib><creatorcontrib>Oliveira, Guilherme Henrique Duarte de</creatorcontrib><creatorcontrib>Zaiat, Marcelo</creatorcontrib><title>Development of a mathematical model for the anaerobic digestion of antibiotic-contaminated wastewater</title><title>Chemical engineering research & design</title><description>[Display omitted]
•A mathematical model was developed to describe sulfamethazine degradation.•The model was divided into two major stages: acids formation and consumption.•Three hypotheses for sulfamethazine degradation were considered.•A long-term quantification of the influent variations effects was developed.•8μg of SMZ had a similar impact on the process as 1000mg of filtered COD.
Anaerobic digestion has been investigated as a potential method for treating antibiotic-contaminated livestock wastewaters. Antibiotic removal is mainly associated with biodegradation and sludge adsorption. In environmental concentrations, i.e., from ngL−1 to a few hundred μgL−1, cometabolism is the most likely biodegradation pathway. The overall performance of anaerobic processes may be affected by the hydraulic retention time, and these processes are strongly related to the physical characteristics of the reactor and variations in influent chemical composition. The effects of these factors can be better understood using a mathematical model. Therefore, this paper aimed to develop a model to describe an anaerobic process to treat sulfamethazine (SMZ), which was divided into two stages of microorganism growth and substrate consumption. In addition, three hypotheses regarding sulfamethazine degradation, including substrate cometabolism related to both stages and an apparent enzymatic reaction, were evaluated. A long-term kinetics structure was added to the model to simulate the process of adaptation to each new operational condition. The results showed that sudden increases in chemical oxygen demand (COD) and hydraulic retention time (HRT) had the most significant negative impact on process performance. In addition, a sudden variation of 8μg of SMZ had a similar impact on the process as did 1000mg of filtered COD. Of the degradation hypotheses, the hypothesis related to organic acid consumption was more accurate than that related to hydrolysis; however, neither could account for the response to variations in HRT. The enzymatic approach resulted in a considerably more accurate representation of the influent flow rate variations than did the cometabolic hypotheses.</description><subject>Anaerobic digestion</subject><subject>Anaerobic processes</subject><subject>Anaerobic treatment</subject><subject>Antibiotics</subject><subject>Biodegradation</subject><subject>Chemical composition</subject><subject>Chemical oxygen demand</subject><subject>Composition effects</subject><subject>Computer simulation</subject><subject>Flow velocity</subject><subject>Hydraulic retention time</subject><subject>Hypotheses</subject><subject>Livestock</subject><subject>Long-term modeling</subject><subject>Mathematical analysis</subject><subject>Mathematical modeling</subject><subject>Mathematical models</subject><subject>Organic chemistry</subject><subject>Physical properties</subject><subject>Reaction kinetics</subject><subject>Sludge</subject><subject>Substrates</subject><subject>Sulfamethazine degradation</subject><subject>Wastewater</subject><subject>Water treatment</subject><issn>0263-8762</issn><issn>1744-3563</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kD1PwzAQhi0EEqXwC1gsMSf4YscxAwMqn1IlFpgtxzlTV01cHLcV_x63ZWbxWXfvcx8vIdfASmAgb5elXWDsyoqBKpkoGYgTMoFGiILXkp-SCaskL1Qjq3NyMY5LxliuqgnBR9ziKqx7HBINjhram7TA_HhrVrQPHa6oC5HmJDWDwRhab2nnv3BMPgwHZki-9SEThQ1DMr0fTMKO7syYcJe_8ZKcObMa8eovTsnn89PH7LWYv7-8zR7mheVSpYJzZ4UUnVKsggqVVa0D1fA2L4u8hrpxshZN1zirAB0wUYOQNTgpXBY4PiU3x77rGL43eUO9DJs45JG6AqgqYHcSsoofVTaGcYzo9Dr63sQfDUzv_dRLffBT7_3UTOjsZ6bujxTmA7Yeox6tx8Fi5yPapLvg_-V_AUMjf9g</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Fonseca, Rafael Frederico</creator><creator>Oliveira, Guilherme Henrique Duarte de</creator><creator>Zaiat, Marcelo</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>JG9</scope><orcidid>https://orcid.org/0000-0003-3419-8265</orcidid></search><sort><creationdate>20180601</creationdate><title>Development of a mathematical model for the anaerobic digestion of antibiotic-contaminated wastewater</title><author>Fonseca, Rafael Frederico ; Oliveira, Guilherme Henrique Duarte de ; Zaiat, Marcelo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-33fc464d880212e8c8bf1873b017e35157f6547d7fc81ef104514651f64f7e3f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Anaerobic digestion</topic><topic>Anaerobic processes</topic><topic>Anaerobic treatment</topic><topic>Antibiotics</topic><topic>Biodegradation</topic><topic>Chemical composition</topic><topic>Chemical oxygen demand</topic><topic>Composition effects</topic><topic>Computer simulation</topic><topic>Flow velocity</topic><topic>Hydraulic retention time</topic><topic>Hypotheses</topic><topic>Livestock</topic><topic>Long-term modeling</topic><topic>Mathematical analysis</topic><topic>Mathematical modeling</topic><topic>Mathematical models</topic><topic>Organic chemistry</topic><topic>Physical properties</topic><topic>Reaction kinetics</topic><topic>Sludge</topic><topic>Substrates</topic><topic>Sulfamethazine degradation</topic><topic>Wastewater</topic><topic>Water treatment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fonseca, Rafael Frederico</creatorcontrib><creatorcontrib>Oliveira, Guilherme Henrique Duarte de</creatorcontrib><creatorcontrib>Zaiat, Marcelo</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Chemical engineering research & design</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fonseca, Rafael Frederico</au><au>Oliveira, Guilherme Henrique Duarte de</au><au>Zaiat, Marcelo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a mathematical model for the anaerobic digestion of antibiotic-contaminated wastewater</atitle><jtitle>Chemical engineering research & design</jtitle><date>2018-06-01</date><risdate>2018</risdate><volume>134</volume><spage>319</spage><epage>335</epage><pages>319-335</pages><issn>0263-8762</issn><eissn>1744-3563</eissn><abstract>[Display omitted]
•A mathematical model was developed to describe sulfamethazine degradation.•The model was divided into two major stages: acids formation and consumption.•Three hypotheses for sulfamethazine degradation were considered.•A long-term quantification of the influent variations effects was developed.•8μg of SMZ had a similar impact on the process as 1000mg of filtered COD.
Anaerobic digestion has been investigated as a potential method for treating antibiotic-contaminated livestock wastewaters. Antibiotic removal is mainly associated with biodegradation and sludge adsorption. In environmental concentrations, i.e., from ngL−1 to a few hundred μgL−1, cometabolism is the most likely biodegradation pathway. The overall performance of anaerobic processes may be affected by the hydraulic retention time, and these processes are strongly related to the physical characteristics of the reactor and variations in influent chemical composition. The effects of these factors can be better understood using a mathematical model. Therefore, this paper aimed to develop a model to describe an anaerobic process to treat sulfamethazine (SMZ), which was divided into two stages of microorganism growth and substrate consumption. In addition, three hypotheses regarding sulfamethazine degradation, including substrate cometabolism related to both stages and an apparent enzymatic reaction, were evaluated. A long-term kinetics structure was added to the model to simulate the process of adaptation to each new operational condition. The results showed that sudden increases in chemical oxygen demand (COD) and hydraulic retention time (HRT) had the most significant negative impact on process performance. In addition, a sudden variation of 8μg of SMZ had a similar impact on the process as did 1000mg of filtered COD. Of the degradation hypotheses, the hypothesis related to organic acid consumption was more accurate than that related to hydrolysis; however, neither could account for the response to variations in HRT. The enzymatic approach resulted in a considerably more accurate representation of the influent flow rate variations than did the cometabolic hypotheses.</abstract><cop>Rugby</cop><pub>Elsevier B.V</pub><doi>10.1016/j.cherd.2018.04.014</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-3419-8265</orcidid></addata></record> |
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subjects | Anaerobic digestion Anaerobic processes Anaerobic treatment Antibiotics Biodegradation Chemical composition Chemical oxygen demand Composition effects Computer simulation Flow velocity Hydraulic retention time Hypotheses Livestock Long-term modeling Mathematical analysis Mathematical modeling Mathematical models Organic chemistry Physical properties Reaction kinetics Sludge Substrates Sulfamethazine degradation Wastewater Water treatment |
title | Development of a mathematical model for the anaerobic digestion of antibiotic-contaminated wastewater |
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