Impact of co-substrate molecular weight on methane production potential, microbial community dynamics, and metabolic pathways in waste activated sludge anaerobic co-digestion
This study firstly revealed the complex interactions between co-substrate molecular weight and microbial communities, and demonstrated the feasibility of adjusting co-substrate molecular weight to improve methane production process.PMID:38588784 | DOI:10.1016/j.biortech.2024.130678 (Source: Bioresource Technology)
Source: Bioresource Technology - April 8, 2024 Category: Biotechnology Authors: Weixin Zhao Xinwei Chen Hao Ma Dan Li Haizhou Yang Tianyi Hu Qingliang Zhao Junqiu Jiang Liangliang Wei Source Type: research
Rapid establishment of municipal sewage partial denitrification-anammox for nitrogen removal through inoculation with side-stream anammox biofilm without domestication
Bioresour Technol. 2024 Apr 6:130679. doi: 10.1016/j.biortech.2024.130679. Online ahead of print.ABSTRACTMainstream partial denitrification anammox was achieved through inoculation of side-stream mature partial nitritation anammox biofilm without domestication. The contribution of anammox to nitrogen removal was 29.4 %. Moreover, prolonging anoxic hydraulic retention time and introducing side-stream nitrite under different carbon/nitrogen ratios enriched anammox bacteria. The abundance of anammox bacteria increased by ∼ 10 times ((2.19 ± 0.17) × 1012 copies gene / g dry sludge) with a total relative abundance of 18.51 ...
Source: Bioresource Technology - April 8, 2024 Category: Biotechnology Authors: Shenhua Yang Yongzhen Peng Feng Hou Hongtao Pang Leyong Jiang Shihao Sun Jialin Li Liang Zhang Source Type: research
A modified cultivation strategy to enhance biomass production and lipid accumulation of Tetradesmus obliquus FACHB-14 with copper stress and light quality induction
This study offers insights into the potential application of Tetradesmus obliquus in biofuel production.PMID:38588782 | DOI:10.1016/j.biortech.2024.130677 (Source: Bioresource Technology)
Source: Bioresource Technology - April 8, 2024 Category: Biotechnology Authors: Yuanrong Jin Yinting Li Yingying Qi Qun Wei Gairen Yang Xiangmeng Ma Source Type: research
Thermo-catalytic pyrolysis of sewage sludge and techno-economic analysis: The effect of synthetic zeolites and natural sourced catalysts
Bioresour Technol. 2024 Apr 6:130676. doi: 10.1016/j.biortech.2024.130676. Online ahead of print.ABSTRACTThis work focuses to the value added utilization of animal sewage sludge into gases, bio-oil and char using synthetic zeolite (ZSM-5 and Y-zeolite) and natural sourced (diatomite, kaolin, perlite) materials as catalysts. Pyrolysis was performed in a one-stage bench-scale reactor at temperatures of 400 and 600 °C. The catalyst was mixed with the raw material before the pyrolysis. Catalysts had a significant effect on the yield of products, because the amount of volatile products was higher in their presence, than withou...
Source: Bioresource Technology - April 8, 2024 Category: Biotechnology Authors: B Csutoras N Miskolczi Source Type: research
Impact of co-substrate molecular weight on methane production potential, microbial community dynamics, and metabolic pathways in waste activated sludge anaerobic co-digestion
This study firstly revealed the complex interactions between co-substrate molecular weight and microbial communities, and demonstrated the feasibility of adjusting co-substrate molecular weight to improve methane production process.PMID:38588784 | DOI:10.1016/j.biortech.2024.130678 (Source: Bioresource Technology)
Source: Bioresource Technology - April 8, 2024 Category: Biotechnology Authors: Weixin Zhao Xinwei Chen Hao Ma Dan Li Haizhou Yang Tianyi Hu Qingliang Zhao Junqiu Jiang Liangliang Wei Source Type: research
Predicting maturity and identifying key factors in organic waste composting using machine learning models
This study employed four machine learning (ML) models, namely Random Forest (RF), Artificial Neural Network (ANN), Support Vector Regression (SVR), and Decision Tree (DT), to predict GI based on key composting parameters. The prediction results showed that the coefficient of determination (R2) for RF (>0.9) and ANN (>0.9) was higher than SVR (<0.6) and DT (<0.8), suggesting that RF and ANN displayed superior predictive performance for GI. The SHapley additive exPlanations value result indicated that composting time, temperature, and pH were the important features contributing to GI. Composting time was found to...
Source: Bioresource Technology - April 7, 2024 Category: Biotechnology Authors: Ning Wang Wanli Yang Bingshu Wang Xinyue Bai Xinwei Wang Qiyong Xu Source Type: research
Recombinant protein synthesis and isolation of human interferon alpha-2 in cyanobacteria
Bioresour Technol. 2024 Apr 5:130664. doi: 10.1016/j.biortech.2024.130664. Online ahead of print.ABSTRACTSynechocystis sp. PCC 6803 (Synechocystis) is a unicellular photosynthetic microorganism that has been used as a model for photo-biochemical research. It comprises a potential cell factory for the generation of valuable bioactive compounds, therapeutic proteins, and possibly biofuels. Fusion constructs of recombinant proteins with the CpcA α-subunit or CpcB β-subunit of phycocyanin in Synechocystis have enabled true over-expression of several isoprenoid pathway enzymes and biopharmaceutical proteins to levels of 10-20...
Source: Bioresource Technology - April 7, 2024 Category: Biotechnology Authors: Bharat K Majhi Anastasios Melis Source Type: research
Efficient extraction of lignin from moso bamboo by microwave-assisted ternary deep eutectic solvent pretreatment for enhanced enzymatic hydrolysis
Bioresour Technol. 2024 Apr 5:130666. doi: 10.1016/j.biortech.2024.130666. Online ahead of print.ABSTRACTApplications of deep eutectic solvent (DES) systems to separate lignocellulosic components are of interest to develop environmentally friendly processes and achieve efficient utilization of biomass. To enhance the performance of a binary neutral DES (glycerol:guanidine hydrochloride), various Lewis acids (e.g., AlCl3·6H2O, FeCl3·6H2O, etc.) were introduced to synthesize a series of ternary DES systems; these were coupled with microwave heating and applied to moso bamboo. Among the ternary DES systems evaluated, the Fe...
Source: Bioresource Technology - April 7, 2024 Category: Biotechnology Authors: Yingying Feng Thomas L Eberhardt Fanyang Meng Chen Xu Hui Pan Source Type: research
Promotion of levoglucosan production from biomass pyrolysis by hydrogen peroxide pre-oxidation
Bioresour Technol. 2024 Apr 5:130667. doi: 10.1016/j.biortech.2024.130667. Online ahead of print.ABSTRACTDue to the complexity of biomass structures, the conversion of raw biomass into value-added chemicals is challenging and often requires efficient pretreatment of the biomass. In this paper, a simple and green pre-oxidation method, which was conducted under the conditions of 2 wt% H2O2, 80 min, and 150 °C, was reported to significantly increase the production of levoglucosan (LG) from biomass pyrolysis. The result showed that the LG yield significantly increased from 2.3 wt% (without pre-oxidation) to 23.1 wt% when pine...
Source: Bioresource Technology - April 7, 2024 Category: Biotechnology Authors: Haojie Yang Xue Li Shasha Liu Guiying Lin Xin Guo Xin Wang Kuan Ding Yong Huang Shu Zhang Source Type: research
Powdered activated carbon facilitated degradation of complex organic compounds and tetracycline in stressed anaerobic digestion systems
Bioresour Technol. 2024 Apr 5:130672. doi: 10.1016/j.biortech.2024.130672. Online ahead of print.ABSTRACTTetracycline exerts an inhibitory effect on anaerobic digestion, inducing stressed microbial activities and even system failure. Continuous-flow reactors (CFRs) and sequencing batch reactors (SBRs) were employed along with the dosage of powdered activated carbon (PAC) to enhance tetracycline removal during anaerobic digestion of complex organic compounds. PAC increased the maximum methane production rate by 15.6% (CFRs) and 13.8% (SBRs), and tetracycline biodegradation by 24.4% (CFRs) and 19.2% (SBRs). CFRs showed highe...
Source: Bioresource Technology - April 7, 2024 Category: Biotechnology Authors: Yuyin Wang Bang Du Guangxue Wu Source Type: research
Microaeration promotes volatile siloxanes conversion to methane and simpler monomeric products
This study examined D4/D5 siloxanes biodegradation under both anaerobic and microaerobic conditions ( [Formula: see text] = 0, 1, 3 %) using wastewater sludge. Results show that the use of microaeration in an otherwise strictly anaerobic environment significantly enhances siloxane conversion to methane. 16S rRNA gene sequencing identified potential degraders, including Clostridium lituseburense, Clostridium bifermentans and Synergistales species. Furthermore, chemical analysis suggested a stepwise siloxane conversion preceding methanogenesis under microaerobic conditions. This study demonstrates the feasibility of microaer...
Source: Bioresource Technology - April 7, 2024 Category: Biotechnology Authors: A E Ortiz-Ardila C Celis J G Usack L T Angenent R A Labatut Source Type: research
Removal of antibiotics by four microalgae-based systems for swine wastewater treatment under different phytohormone treatment
This study examined the removal of typical antibiotics from simulated swine wastewater. Microalgae-bacteria/fungi symbioses were constructed using Chlorella ellipsoidea, endophytic bacteria (S395-2), and Clonostachys rosea as biomaterials. The growth, photosynthetic performance, and removal of three types of antibiotics (tetracyclines, sulfonamides, and quinolones) induced by four phytohormones were analyzed in each system. The results showed that all four phytohormones effectively improved the tolerance of symbiotic strains against antibiotic stress; strigolactones (GR24) achieved the best performance. At 10-9 M, GR24 ach...
Source: Bioresource Technology - April 7, 2024 Category: Biotechnology Authors: Guojun Guo Zhengfang Wang Chang Lu Wenyan Xu Bei Lu Yongjun Zhao Source Type: research
Effects of municipal sludge composition on hydrothermal liquefaction products: Aqueous phase characterization and biodegradability assessment
Bioresour Technol. 2024 Apr 5:130671. doi: 10.1016/j.biortech.2024.130671. Online ahead of print.ABSTRACTHydrothermal liquefaction (HTL) aqueous phases derived from mixed sludge and digested sludge of two wastewater treatment plants (WWTP) were characterized considering variations in primary-secondary sludge ratios, an aspect previously overlooked in the literature. Mixed sludge was obtained by mixing primary and secondary sludge to simulate high primary sludge, average, and high secondary sludge cases. Aerobic and mesophilic/thermophilic anaerobic biodegradability tests were conducted. Higher chemical oxygen demand, total...
Source: Bioresource Technology - April 7, 2024 Category: Biotechnology Authors: Ibrahim Alper Basar Huan Liu Cigdem Eskicioglu Source Type: research
Degradation and environmental assessment of compostable packaging mixed with biowaste in full-scale industrial composting conditions
In conclusion, this study shows the successful integration of compostable materials into industrial composting, upholding product safety and quality.PMID:38583679 | DOI:10.1016/j.biortech.2024.130670 (Source: Bioresource Technology)
Source: Bioresource Technology - April 7, 2024 Category: Biotechnology Authors: Emmanuelle Gastaldi Felipe Buendia Paul Greuet Zineb Benbrahim Bouchou Anir Benihya Guy Cesar Sandra Domenek Source Type: research
Machine learning for high solid anaerobic digestion: Performance prediction and optimization
Bioresour Technol. 2024 Apr 4:130665. doi: 10.1016/j.biortech.2024.130665. Online ahead of print.ABSTRACTBiogas production through anaerobic digestion (AD) is one of the complex non-linear biological processes, wherein understanding its dynamics plays a crucial role towards process control and optimization. In this work, a machine learning based biogas predictive model was developed for high solid systems using algorithms, including SVM, ET, DT, GPR, and KNN and two different datasets (Dataset-1:10, Dataset-2:5 inputs). Support Vector Machine had the highest accuracy (R2) of all the algorithms at 91 % (Dataset-1) and 87 % ...
Source: Bioresource Technology - April 6, 2024 Category: Biotechnology Authors: Prabakaran Ganeshan Archishman Bose Jintae Lee Selvaraj Barathi Karthik Rajendran Source Type: research
