Attenuation of tetracyclines during chicken manure and bagasse co-composting: Degradation, kinetics, and artificial neural network modeling

Nadali Alavi, Khatereh Sarmadi, Gholamreza Gudarzi, Ali Akbar Babaei, Reza Bakhshoodeh, Pooya Paydary

Research output: Contribution to journalArticle

Abstract

The main objective of this study was to investigate the feasibility of using a locally abundant bulking material (bagasse) in the composting process to remove tetracycline from chicken manure in Khuzestan Province, Iran. Degradation extent and kinetic of three types of tetracycline (tetracycline hydrochloride (TCH), chlortetracycline (CTC), and oxytetracycline (OTC)) during co-composting of chicken manure and bagasse were investigated. After 56 days of incubation in the dark and room temperature, TCH, CTC, and OTC were removed up to 99.0%, 99.3%, and 99.5%, respectively. Highest Tetracyclines (TCs) removals were observed when chicken manure was composted with 14% bagasse. Both simple and availability-adjusted first-order kinetic models fitted TCH, CTC, and OTC degradation data. Half-lives estimated by both models were close together. TCH, CTC and OTC half-lives were estimated to be 8, 5, and 4 days, respectively. An artificial neural network model was developed to model TCs degradation. Artificial neural network analysis showed the relative importance of time, antibiotic type, bagasse percentage, and initial antibiotics concentration, in TCs degradation to be 80.43%, 7.95%, 6.43%, and 5.17%, respectively.

Original languageEnglish
Article number1
Pages (from-to)1203-1210
Number of pages8
JournalJournal of Environmental Management
Volume23
DOIs
Publication statusPublished - 1 Feb 2019
Externally publishedYes

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oxytetracycline
composting
artificial neural network
manure
kinetics
degradation
antibiotics
half life
modeling
network analysis
incubation
temperature

Cite this

Alavi, Nadali ; Sarmadi, Khatereh ; Gudarzi, Gholamreza ; Babaei, Ali Akbar ; Bakhshoodeh, Reza ; Paydary, Pooya. / Attenuation of tetracyclines during chicken manure and bagasse co-composting : Degradation, kinetics, and artificial neural network modeling. In: Journal of Environmental Management. 2019 ; Vol. 23. pp. 1203-1210.
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abstract = "The main objective of this study was to investigate the feasibility of using a locally abundant bulking material (bagasse) in the composting process to remove tetracycline from chicken manure in Khuzestan Province, Iran. Degradation extent and kinetic of three types of tetracycline (tetracycline hydrochloride (TCH), chlortetracycline (CTC), and oxytetracycline (OTC)) during co-composting of chicken manure and bagasse were investigated. After 56 days of incubation in the dark and room temperature, TCH, CTC, and OTC were removed up to 99.0{\%}, 99.3{\%}, and 99.5{\%}, respectively. Highest Tetracyclines (TCs) removals were observed when chicken manure was composted with 14{\%} bagasse. Both simple and availability-adjusted first-order kinetic models fitted TCH, CTC, and OTC degradation data. Half-lives estimated by both models were close together. TCH, CTC and OTC half-lives were estimated to be 8, 5, and 4 days, respectively. An artificial neural network model was developed to model TCs degradation. Artificial neural network analysis showed the relative importance of time, antibiotic type, bagasse percentage, and initial antibiotics concentration, in TCs degradation to be 80.43{\%}, 7.95{\%}, 6.43{\%}, and 5.17{\%}, respectively.",
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Attenuation of tetracyclines during chicken manure and bagasse co-composting : Degradation, kinetics, and artificial neural network modeling. / Alavi, Nadali; Sarmadi, Khatereh ; Gudarzi, Gholamreza; Babaei, Ali Akbar; Bakhshoodeh, Reza; Paydary, Pooya.

In: Journal of Environmental Management, Vol. 23, 1, 01.02.2019, p. 1203-1210.

Research output: Contribution to journalArticle

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T1 - Attenuation of tetracyclines during chicken manure and bagasse co-composting

T2 - Degradation, kinetics, and artificial neural network modeling

AU - Alavi, Nadali

AU - Sarmadi, Khatereh

AU - Gudarzi, Gholamreza

AU - Babaei, Ali Akbar

AU - Bakhshoodeh, Reza

AU - Paydary, Pooya

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N2 - The main objective of this study was to investigate the feasibility of using a locally abundant bulking material (bagasse) in the composting process to remove tetracycline from chicken manure in Khuzestan Province, Iran. Degradation extent and kinetic of three types of tetracycline (tetracycline hydrochloride (TCH), chlortetracycline (CTC), and oxytetracycline (OTC)) during co-composting of chicken manure and bagasse were investigated. After 56 days of incubation in the dark and room temperature, TCH, CTC, and OTC were removed up to 99.0%, 99.3%, and 99.5%, respectively. Highest Tetracyclines (TCs) removals were observed when chicken manure was composted with 14% bagasse. Both simple and availability-adjusted first-order kinetic models fitted TCH, CTC, and OTC degradation data. Half-lives estimated by both models were close together. TCH, CTC and OTC half-lives were estimated to be 8, 5, and 4 days, respectively. An artificial neural network model was developed to model TCs degradation. Artificial neural network analysis showed the relative importance of time, antibiotic type, bagasse percentage, and initial antibiotics concentration, in TCs degradation to be 80.43%, 7.95%, 6.43%, and 5.17%, respectively.

AB - The main objective of this study was to investigate the feasibility of using a locally abundant bulking material (bagasse) in the composting process to remove tetracycline from chicken manure in Khuzestan Province, Iran. Degradation extent and kinetic of three types of tetracycline (tetracycline hydrochloride (TCH), chlortetracycline (CTC), and oxytetracycline (OTC)) during co-composting of chicken manure and bagasse were investigated. After 56 days of incubation in the dark and room temperature, TCH, CTC, and OTC were removed up to 99.0%, 99.3%, and 99.5%, respectively. Highest Tetracyclines (TCs) removals were observed when chicken manure was composted with 14% bagasse. Both simple and availability-adjusted first-order kinetic models fitted TCH, CTC, and OTC degradation data. Half-lives estimated by both models were close together. TCH, CTC and OTC half-lives were estimated to be 8, 5, and 4 days, respectively. An artificial neural network model was developed to model TCs degradation. Artificial neural network analysis showed the relative importance of time, antibiotic type, bagasse percentage, and initial antibiotics concentration, in TCs degradation to be 80.43%, 7.95%, 6.43%, and 5.17%, respectively.

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