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Weber B, Durán-García MD, Fröhlich C. Thermogravimetric substrate analysis for prediction of biogas and methane yields. Bioresour Technol 2023; 368:128322. [PMID: 36396037 DOI: 10.1016/j.biortech.2022.128322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/31/2022] [Accepted: 11/10/2022] [Indexed: 06/16/2023]
Abstract
Biodegradability of biomass constituents is the reason for the gap between theoretical biogas/methane yield and the maximum yield obtainable in bioconversion. The prediction of biogas/methane yields by applying thermal analysis is a relatively new development in this field. The aim of this study was to develop a bioconversion model based on thermogravimetry. Eleven substrates with a specific biogas yield within the range 104 to 572 mLN per gram of volatile solids were subjected to thermogravimetry and a multi linear regression model was developed to predict biogas and methane yields. The optimum parameters describe biogas and methane yields with a root mean square error of 58.8 and 34.3 mLN per gram of volatile solids respectively. The coefficient of determination for these two datasets was 0.81 and 0.84. A prediction technique based on thermogravimetric analysis appears to be a good alternative to other prediction models.
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Affiliation(s)
- B Weber
- Faculty of Engineering, Autonomous University of the State of Mexico, Cerro de Coatepec s/n Col. San Buenaventura, C.P. 50130 Toluca, State of Mexico, Mexico.
| | - M D Durán-García
- Faculty of Engineering, Autonomous University of the State of Mexico, Cerro de Coatepec s/n Col. San Buenaventura, C.P. 50130 Toluca, State of Mexico, Mexico
| | - C Fröhlich
- Department of Math, Natural Science and Computer Science, University of Applied Sciences THM, Campus Giessen, 35390 Giessen, Germany
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Sun H, Li X, Ren Y, Zhang H, Mao X, Lao Y, Wang X, Chen F. Boost carbon availability and value in algal cell for economic deployment of biomass. Bioresour Technol 2020; 300:122640. [PMID: 31887581 DOI: 10.1016/j.biortech.2019.122640] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 12/13/2019] [Accepted: 12/16/2019] [Indexed: 06/10/2023]
Abstract
This study elucidated storage carbon metabolism in a dynamic manner through kinetic model, metabolomics and stable metabolic flux analysis. Results revealed nutrient uptake rate, carbon availability and synthetic path rate accounted for the integration of process-compatible products. The uptake rate could be enhanced by promoting carbohydrate accumulation, inducing high performance of tricarboxylic acid cycle and anaplerotic routes. Values of specific rate for lipid from kinetic model and synthetic path rate from metabolic flux analysis revealed that conversion of carbon sinks occupied a key position in increasing productivities of lipid and astaxanthin to 302.34 and 1.83 mg g-1 d-1, respectively. Additionally, economic estimation was applied to link cultivation factors with market scenario and demonstrated that regulating such carbon metabolism raised 30% increase of biomass value. This study therefore provided a new orientation to boost carbon efficiency that helped to engineer carbon flux from carbon source to targeted products precisely and rapidly.
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Affiliation(s)
- Han Sun
- Institute for Food & Bioresource Engineering, College of Engineering, Peking University, Beijing 100871, China; Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
| | - Xiaojie Li
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
| | - Yuanyuan Ren
- Institute for Food & Bioresource Engineering, College of Engineering, Peking University, Beijing 100871, China
| | - Huaiyuan Zhang
- School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China
| | - Xuemei Mao
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
| | - Yongmin Lao
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
| | - Xia Wang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
| | - Feng Chen
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China;.
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Sun H, Mao X, Wu T, Ren Y, Chen F, Liu B. Novel insight of carotenoid and lipid biosynthesis and their roles in storage carbon metabolism in Chlamydomonas reinhardtii. Bioresour Technol 2018; 263:450-457. [PMID: 29772507 DOI: 10.1016/j.biortech.2018.05.035] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 05/08/2018] [Accepted: 05/09/2018] [Indexed: 05/26/2023]
Abstract
Revenues of carotenoid and lipid biosynthesis under excess light and nitrogen starvation were firstly analyzed for the increased biomass value through carbon metabolism analysis. The results suggested excess light and nitrogen starvation resulted in carbon partitioning among protein, starch, lipid and carotenoid. Nitrogen starvation promoted more cellular lipid content than excess light, while excess light promoted carotenoid and polyunsaturated fatty acid accumulation. In the molecular level, the stresses redirected carbon skeletons into the central metabolite of pyruvate and oriented into starch and lipid as the primary and secondary carbon storage, respectively. Economic estimation revealed nitrogen starvation potentially increased 14.76 × 10-6 and 72.11 × 10-6 $/g revenues of biofuel production at per batch and cell weight scales, respectively. Excess light could increase 63.90 × 10-6 and 19.21 × 10-6 $/g at per cell weight scale of lipid and carotenoid, respectively. In combination with metabolism analysis, conversion procedure of process-compatible products was divided into four phases.
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Affiliation(s)
- Han Sun
- Institute for Food & Bioresource Engineering, College of Engineering, Peking University, Beijing 100871, China; BIC-ESAT, College of Engineering, Peking University, Beijing 100871, China
| | - Xuemei Mao
- Institute for Food & Bioresource Engineering, College of Engineering, Peking University, Beijing 100871, China; BIC-ESAT, College of Engineering, Peking University, Beijing 100871, China
| | - Tao Wu
- Institute for Food & Bioresource Engineering, College of Engineering, Peking University, Beijing 100871, China; BIC-ESAT, College of Engineering, Peking University, Beijing 100871, China
| | - Yuanyuan Ren
- Institute for Food & Bioresource Engineering, College of Engineering, Peking University, Beijing 100871, China; BIC-ESAT, College of Engineering, Peking University, Beijing 100871, China
| | - Feng Chen
- Institute for Food & Bioresource Engineering, College of Engineering, Peking University, Beijing 100871, China; BIC-ESAT, College of Engineering, Peking University, Beijing 100871, China
| | - Bin Liu
- Institute for Food & Bioresource Engineering, College of Engineering, Peking University, Beijing 100871, China; BIC-ESAT, College of Engineering, Peking University, Beijing 100871, China.
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