{"title":"超声波预处理果蔬垃圾厌氧消化产生生物甲烷的模型。","authors":"Kgomotso Matobole, Tumisang Seodigeng, Musamba Banza, Hilary Rutto","doi":"10.1080/10934529.2024.2431399","DOIUrl":null,"url":null,"abstract":"<p><p>The global dependency on the depleted fossil fuels has led to the quest for acquiring alternative energy sources. Different types of waste material are generated at a high rate and tapping into their use for greener, alternative energy production is an option. The mesophilic anaerobic co-digestion of fruit and vegetable waste and wastewater treatment plant sewage sludge experiments were conducted using ultrasonic pretreated substrates. Sonication exposure times from 0 to 45 min were selected for the experiments. An automatic methane potential test system (BMP) was used to determine the production rate of biomethane of the fruit and vegetables waste containing 60% fruit and 40% vegetables. The highest cumulative methane production of 238 mL g<sup>-1</sup> VS was achieved at sonication time exposure of 45 min. It was observed that an increase in ultrasonic sonication exposure time, improved methane yield. The resulting experimental data was fitted with the modified Gompertz, co-digestion modified Gompertz, original Richards, modified Richards and co-digestion modified Richards models. IBM SPSS Statistics software was used for curve fitting and the estimation of the models' kinetic parameters. The modified Gompertz and Richards models showed higher goodness fit, both with <i>R</i><sup>2</sup> of 0.93 and modified Richards models did not produce a good fit for the data, with <i>R</i><sup>2</sup> of 0.7. The developed co-digestion models considered a combination of substrates that were easily digested as well as complex substrates that required multiple steps of digestion. The results show that the co-digestion modified Gompertz model had a goodness of fit of 0.98. Co-digestion modified Richard's model perfectly fit the experimental data, with <i>R</i><sup>2</sup> of 1. Both the co-digestion modified models are recommended due to their fitting performance. Fruit and vegetable waste comprise multiple substrates including simple sugars that digest readily and much more complex cellulose substrates that require more steps to digest and requiring the second step of digestion after undergoing hydrolysis. Both models took that into account. The aim of this study was to evaluate the suitability of the Gompertz and Richards model in the co-digestion of fruit and vegetables waste with sludge, as well as to develop co-digestion models for the substrates at hand.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"513-522"},"PeriodicalIF":1.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling of the biomethane production from ultrasonic pretreated fruit and vegetable waste <i>via</i> anaerobic digestion.\",\"authors\":\"Kgomotso Matobole, Tumisang Seodigeng, Musamba Banza, Hilary Rutto\",\"doi\":\"10.1080/10934529.2024.2431399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The global dependency on the depleted fossil fuels has led to the quest for acquiring alternative energy sources. Different types of waste material are generated at a high rate and tapping into their use for greener, alternative energy production is an option. The mesophilic anaerobic co-digestion of fruit and vegetable waste and wastewater treatment plant sewage sludge experiments were conducted using ultrasonic pretreated substrates. Sonication exposure times from 0 to 45 min were selected for the experiments. An automatic methane potential test system (BMP) was used to determine the production rate of biomethane of the fruit and vegetables waste containing 60% fruit and 40% vegetables. The highest cumulative methane production of 238 mL g<sup>-1</sup> VS was achieved at sonication time exposure of 45 min. It was observed that an increase in ultrasonic sonication exposure time, improved methane yield. The resulting experimental data was fitted with the modified Gompertz, co-digestion modified Gompertz, original Richards, modified Richards and co-digestion modified Richards models. IBM SPSS Statistics software was used for curve fitting and the estimation of the models' kinetic parameters. The modified Gompertz and Richards models showed higher goodness fit, both with <i>R</i><sup>2</sup> of 0.93 and modified Richards models did not produce a good fit for the data, with <i>R</i><sup>2</sup> of 0.7. The developed co-digestion models considered a combination of substrates that were easily digested as well as complex substrates that required multiple steps of digestion. The results show that the co-digestion modified Gompertz model had a goodness of fit of 0.98. Co-digestion modified Richard's model perfectly fit the experimental data, with <i>R</i><sup>2</sup> of 1. Both the co-digestion modified models are recommended due to their fitting performance. Fruit and vegetable waste comprise multiple substrates including simple sugars that digest readily and much more complex cellulose substrates that require more steps to digest and requiring the second step of digestion after undergoing hydrolysis. Both models took that into account. The aim of this study was to evaluate the suitability of the Gompertz and Richards model in the co-digestion of fruit and vegetables waste with sludge, as well as to develop co-digestion models for the substrates at hand.</p>\",\"PeriodicalId\":15671,\"journal\":{\"name\":\"Journal of Environmental Science and Health Part A-toxic\\\\/hazardous Substances & Environmental Engineering\",\"volume\":\" \",\"pages\":\"513-522\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Environmental Science and Health Part A-toxic\\\\/hazardous Substances & Environmental Engineering\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1080/10934529.2024.2431399\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/10934529.2024.2431399","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/13 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
摘要
全球对日益枯竭的化石燃料的依赖促使人们寻求替代能源。不同类型的废物以很高的速度产生,利用它们进行更环保的替代能源生产是一种选择。采用超声波预处理基质对果蔬废弃物和污水处理厂污泥进行了中温厌氧共消化试验。超声暴露时间为0 ~ 45 min。采用自动甲烷电位测试系统(BMP)测定了含60%水果和40%蔬菜的果蔬废弃物的生物甲烷产率。在超声时间暴露45 min时,最高累积甲烷产量为238 mL g-1 VS。观察到,增加超声波曝光时间,提高甲烷产率。得到的实验数据用修正Gompertz、共消化修正Gompertz、原Richards、修正Richards和共消化修正Richards模型进行拟合。采用IBM SPSS统计软件进行曲线拟合和模型动力学参数估计。修正后的Gompertz和Richards模型拟合优度较高,R2均为0.93,修正后的Richards模型拟合不佳,R2为0.7。发展的共消化模型考虑了容易消化的底物的组合以及需要多个消化步骤的复杂底物。结果表明,共消化修正的Gompertz模型拟合优度为0.98。共消化修正后的Richard模型与实验数据完美拟合,R2为1。两种共消化修正模型均具有良好的拟合性能。水果和蔬菜废物包括多种底物,包括易于消化的单糖和更复杂的纤维素底物,这些底物需要更多的步骤来消化,并且需要在水解后进行第二步消化。两个模型都考虑到了这一点。本研究的目的是评估Gompertz和Richards模型在水果和蔬菜废物与污泥共消化中的适用性,并为手头的底物开发共消化模型。
Modeling of the biomethane production from ultrasonic pretreated fruit and vegetable waste via anaerobic digestion.
The global dependency on the depleted fossil fuels has led to the quest for acquiring alternative energy sources. Different types of waste material are generated at a high rate and tapping into their use for greener, alternative energy production is an option. The mesophilic anaerobic co-digestion of fruit and vegetable waste and wastewater treatment plant sewage sludge experiments were conducted using ultrasonic pretreated substrates. Sonication exposure times from 0 to 45 min were selected for the experiments. An automatic methane potential test system (BMP) was used to determine the production rate of biomethane of the fruit and vegetables waste containing 60% fruit and 40% vegetables. The highest cumulative methane production of 238 mL g-1 VS was achieved at sonication time exposure of 45 min. It was observed that an increase in ultrasonic sonication exposure time, improved methane yield. The resulting experimental data was fitted with the modified Gompertz, co-digestion modified Gompertz, original Richards, modified Richards and co-digestion modified Richards models. IBM SPSS Statistics software was used for curve fitting and the estimation of the models' kinetic parameters. The modified Gompertz and Richards models showed higher goodness fit, both with R2 of 0.93 and modified Richards models did not produce a good fit for the data, with R2 of 0.7. The developed co-digestion models considered a combination of substrates that were easily digested as well as complex substrates that required multiple steps of digestion. The results show that the co-digestion modified Gompertz model had a goodness of fit of 0.98. Co-digestion modified Richard's model perfectly fit the experimental data, with R2 of 1. Both the co-digestion modified models are recommended due to their fitting performance. Fruit and vegetable waste comprise multiple substrates including simple sugars that digest readily and much more complex cellulose substrates that require more steps to digest and requiring the second step of digestion after undergoing hydrolysis. Both models took that into account. The aim of this study was to evaluate the suitability of the Gompertz and Richards model in the co-digestion of fruit and vegetables waste with sludge, as well as to develop co-digestion models for the substrates at hand.
期刊介绍:
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Abstracted/indexed in: BioSciences Information Service of Biological Abstracts (BIOSIS), CAB ABSTRACTS, CEABA, Chemical Abstracts & Chemical Safety NewsBase, Current Contents/Agriculture, Biology, and Environmental Sciences, Elsevier BIOBASE/Current Awareness in Biological Sciences, EMBASE/Excerpta Medica, Engineering Index/COMPENDEX PLUS, Environment Abstracts, Environmental Periodicals Bibliography & INIST-Pascal/CNRS, National Agriculture Library-AGRICOLA, NIOSHTIC & Pollution Abstracts, PubSCIENCE, Reference Update, Research Alert & Science Citation Index Expanded (SCIE), Water Resources Abstracts and Index Medicus/MEDLINE.