{"title":"用扩展 ADM1 模拟富含脂质的厨余垃圾厌氧消化过程中的关键中间产物。","authors":"Simon Weber","doi":"10.1007/s10532-024-10072-7","DOIUrl":null,"url":null,"abstract":"<p>Quantitative dynamics of the key intermediates, gases and carbohydrates during anaerobic digestion of different lipid rich kitchen waste and lipid rich model kitchen waste were modeled. Six batch reactors loaded with 25 g<span>\\(_\\text {VS}\\)</span> l<span>\\(^{-1}\\)</span> (<span>\\(\\sim\\)</span>39 <span>\\({\\textrm{g}{_\\text {O}}{_{2}}}\\)</span> l<span>\\(^{-1}\\)</span>) kitchen waste and model kitchen waste during a batch experiment were considered in simulation. Observed dynamics of carbohydrates, volatile organic acids and gases were described by an extended benchmark simulation model no. 2 (BSM2). In this study the extended BSM2 included a more detailed <span>\\(\\beta\\)</span>-oxidation for prediction of caproic acid. Furthermore, the extensions included carbohydrate digestion with an additional intermediate before propionic acid was released. In addition, a novel simplification approach for initial pH estimation was successfully applied. For parameter estimation a Markov Chain Monte Carlo method was used to obtain parameter distributions. With the presented model it was possible even with no calibrated data to predict point of times of intermediates maxima and propionic acid with relative stable concentration over several days for kitchen waste.</p>","PeriodicalId":486,"journal":{"name":"Biodegradation","volume":"35 5","pages":"701 - 717"},"PeriodicalIF":3.1000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling key intermediates during anaerobic digestion of lipid rich kitchen waste with an extended ADM1\",\"authors\":\"Simon Weber\",\"doi\":\"10.1007/s10532-024-10072-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Quantitative dynamics of the key intermediates, gases and carbohydrates during anaerobic digestion of different lipid rich kitchen waste and lipid rich model kitchen waste were modeled. Six batch reactors loaded with 25 g<span>\\\\(_\\\\text {VS}\\\\)</span> l<span>\\\\(^{-1}\\\\)</span> (<span>\\\\(\\\\sim\\\\)</span>39 <span>\\\\({\\\\textrm{g}{_\\\\text {O}}{_{2}}}\\\\)</span> l<span>\\\\(^{-1}\\\\)</span>) kitchen waste and model kitchen waste during a batch experiment were considered in simulation. Observed dynamics of carbohydrates, volatile organic acids and gases were described by an extended benchmark simulation model no. 2 (BSM2). In this study the extended BSM2 included a more detailed <span>\\\\(\\\\beta\\\\)</span>-oxidation for prediction of caproic acid. Furthermore, the extensions included carbohydrate digestion with an additional intermediate before propionic acid was released. In addition, a novel simplification approach for initial pH estimation was successfully applied. For parameter estimation a Markov Chain Monte Carlo method was used to obtain parameter distributions. With the presented model it was possible even with no calibrated data to predict point of times of intermediates maxima and propionic acid with relative stable concentration over several days for kitchen waste.</p>\",\"PeriodicalId\":486,\"journal\":{\"name\":\"Biodegradation\",\"volume\":\"35 5\",\"pages\":\"701 - 717\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biodegradation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10532-024-10072-7\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biodegradation","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10532-024-10072-7","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
模拟了不同富脂厨余和富脂模型厨余在厌氧消化过程中关键中间产物、气体和碳水化合物的定量动态。模拟中考虑了分批实验中装入 25 g VS l - 1 (∼ 39 g O 2 l - 1)厨余垃圾和模型厨余垃圾的六个分批反应器。观察到的碳水化合物、挥发性有机酸和气体的动态由扩展的基准模拟模型 2(BSM2)描述。在这项研究中,扩展的 BSM2 包括了更详细的β-氧化,用于预测己酸。此外,扩展模型还包括了碳水化合物消化,在丙酸释放之前增加了一个中间产物。此外,还成功应用了一种用于初始 pH 值估计的新型简化方法。在参数估计方面,采用了马尔可夫链蒙特卡罗方法来获得参数分布。利用该模型,即使没有校准数据,也可以预测中间产物最大值的时间点,以及厨余垃圾中丙酸在数天内的相对稳定浓度。
Modeling key intermediates during anaerobic digestion of lipid rich kitchen waste with an extended ADM1
Quantitative dynamics of the key intermediates, gases and carbohydrates during anaerobic digestion of different lipid rich kitchen waste and lipid rich model kitchen waste were modeled. Six batch reactors loaded with 25 g\(_\text {VS}\) l\(^{-1}\) (\(\sim\)39 \({\textrm{g}{_\text {O}}{_{2}}}\) l\(^{-1}\)) kitchen waste and model kitchen waste during a batch experiment were considered in simulation. Observed dynamics of carbohydrates, volatile organic acids and gases were described by an extended benchmark simulation model no. 2 (BSM2). In this study the extended BSM2 included a more detailed \(\beta\)-oxidation for prediction of caproic acid. Furthermore, the extensions included carbohydrate digestion with an additional intermediate before propionic acid was released. In addition, a novel simplification approach for initial pH estimation was successfully applied. For parameter estimation a Markov Chain Monte Carlo method was used to obtain parameter distributions. With the presented model it was possible even with no calibrated data to predict point of times of intermediates maxima and propionic acid with relative stable concentration over several days for kitchen waste.
期刊介绍:
Biodegradation publishes papers, reviews and mini-reviews on the biotransformation, mineralization, detoxification, recycling, amelioration or treatment of chemicals or waste materials by naturally-occurring microbial strains, microbial associations, or recombinant organisms.
Coverage spans a range of topics, including Biochemistry of biodegradative pathways; Genetics of biodegradative organisms and development of recombinant biodegrading organisms; Molecular biology-based studies of biodegradative microbial communities; Enhancement of naturally-occurring biodegradative properties and activities. Also featured are novel applications of biodegradation and biotransformation technology, to soil, water, sewage, heavy metals and radionuclides, organohalogens, high-COD wastes, straight-, branched-chain and aromatic hydrocarbons; Coverage extends to design and scale-up of laboratory processes and bioreactor systems. Also offered are papers on economic and legal aspects of biological treatment of waste.