Bioresource Technology最新文献

This study integrates electrochemical pretreatment with microalgae (Scenedesmus obliquus) treatment to enhance nitrogen and phosphorus removal and resource recovery from swine wastewater. By optimizing electrochemical and microalgae treatment conditions, the dilution factor and the hydraulic retention time for microalgae treatment were reduced to 5 times and 7 days, respectively. Under the optimized operational conditions, removal efficiencies of total nitrogen and ammonia could reach over 89 %and 96 %,respectively, and the removal efficiency of total phosphorus was over 99 %. The study also found that aluminum was more suitable than iron for anode as it produced fewer residues. Additionally, the electrochemical pretreatment reduced Cu²⁺ and Zn2⁺ concentrations, mitigating negative impacts on microalgal growth. The microalgae biomass harvested from developed processes was rich in saturated fatty acids, which was desirable for biodiesel production. This approach addresses the challenges of nutrient removal for swine wastewater treatment with high quality biomass recovery.

This study examined integrating high-rate contact stabilization (HRCS) and chemically enhanced primary treatment (CEPT) for wastewater to improve the carbon recovery rate (CRR). Enhancing chemical oxygen demand (COD) removal efficiency was hypothesized to improve the CRR. The evaluation covered serial HRCS-CEPT, serial CEPT-HRCS, and single-stage carbon recovery (Single-CR). The COD removal efficiencies for individual HRCS and CEPT were 50.3 % and 56.2 %, respectively. The serial CEPT-HRCS system failed in the HRCS process due to poor settling, resulting in microbial washout. However, the serial HRCS-CEPT system achieved the highest COD removal efficiency (84.5 %). The Single-CR system exhibited the highest CRR of 0.780 ± 0.083 g-COD_CH4/g-COD_inf, identifying it as the most promising process for energy-positive wastewater treatment. The selective pressure in the high-rate system resulted in a simplified and specialized bacterial community, mainly comprising microorganisms with high polyhydroxyalkanoate storage capacity, such as Lactococcus sp., Enterobacter sp., and Acinetobacter sp.

Polyethylene terephthalate (PET) biodegradation is hindered by the intermediates bis (2-hydroxyethyl) terephthalate (BHET) and mono (2-hydroxyethyl) terephthalate (MHET). BMHETase, a thermophilic hydrolase identified from the UniParc database, exhibits degradation activity towards both BHET and MHET. BMHETase showed higher activity on BHET than LCCICCG and FASTPETase at temperatures ranging from 50 to 70℃. To enhance its activity in degrading MHET, BMHETase was engineered to mimic Ideonella sakaiensis MHETase. The resulting 6-point mutant's activities on MHET and BHET were 8 and 2 times those of the WT, with both optimal temperatures increased by 5℃. This enhancement may be attributed to the BMHETase^6M's intensified binding ability with MHET and enlarged binding pocket. When combined with LCCICCG, BMHETase^6M achieved complete degradation of MHET in PET films to terephthalic acid, indicating broad application potential. These findings suggest that BMHETase^6M holds promise as a candidate for enhancing PET biodegradation efficiency and plastic waste management.

The nitrogen removal of anaerobically digested swine wastewater (ADSW) through partial nitritation and anammox is hindered by the challenge of balancing aeration between ammonia oxidizing bacteria (AOB) and anammox bacteria (AnAOB). This study focused on optimizing aeration through a real-time control strategy in an integrated fixed-film activated sludge reactor for treating ADSW. The system implemented a dual aeration mode that included both low dissolved oxygen (DO) (< 0.4 mg/L) and short-term high DO (0.6-1.2 mg/L), with pH, oxidation-reduction potential, and NH₄⁺-N electrode values as real-time control parameters. NH₄⁺-N removal rate increased from 3.37 to 12.82 mgN/(gVSS·h), and total nitrogen (TN) removal rate enhanced from 0.14 to 0.25 kgN/(m³·d). Increasing DO stimulated AOB activity by 31 % and provided sufficient NO₂^--N for AnAOB. The r-strategist AnAOB (Candidatus Kuenenia) proliferated well in the biofilm (0.25 % in flocs vs. 1.86 % in biofilm). The enrichment of denitrifiers improved organic matter and TN removal.

This review explores the critical role of machine learning (ML) in enhancing microalgae bioprocesses for sustainable biofuel production. It addresses both technical and economic challenges in commercializing microalgal biofuels and examines how ML can optimize various stages, including identification, classification, cultivation, harvesting, drying, and conversion to biofuels. This review also highlights the integration of ML with technologies such as the Internet of Things (IoT) for real-time monitoring and management of bioprocesses. It discusses the adaptability and flexibility of ML in the context of microalgae biotechnology, focusing on diverse algorithms such as Artificial Neural Networks, Support Vector Machines, Decision Trees, and Random Forests, while emphasizing the importance of data collection and preparation. Additionally, current ML applications in microalgae biofuel production are reviewed, including strain selection, growth optimization, system monitoring, and lipid extraction.

The performance and stability of a bioelectrochemical anaerobic digester (BeAD), continuously augmented with electroactive microorganisms (EAMs), were investigated. The BeAD showcased superior performance, sustaining the high COD removal efficiency and methane production rate of 76.5 % and 0.67 L/(L.d), respectively, in a stable state. Prominently, it exhibited remarkable resilience under hydraulic and organic shock loads, adeptly recuperating from disturbances up to 1000 % of its stable condition. This resilience of up to 300 % shock load was driven by increased levels of electron transport components such as quinones and riboflavins, which act as electron shuttles. However, after extreme shock exposures from 500 % to 1000 %, despite the spike in inhibitory by-products such as humic acids and ammonia, the upregulation of the mtr complex was pivotal in recovering and sustaining methane production. These insights emphasize the BeAD's capability to bolster both performance and stability, thereby providing a potent strategy for practical application of bioelectrochemical systems.

A novel molecularly imprinted biomass carbon (MIP@BC) catalyst functionalized with the virtual template of phthalates was designed as the cathode material which possesses excellent 2-electron oxygen reduction ability and H₂O₂ production capacity, which is suitable for targeted degradation of phthalates in the electro-Fenton system. Following molecularly imprinted modification, the adsorption capacity of MIP@BC for Dimethyl phthalate (DMP) increased by 40 %, reached 9.26 mg/g. Compared with non-imprinted biomass carbon (NIP@BC), the MIP@BC-mediated electro-Fenton process enhanced the degradation rate of DMP by 72 %. Additionally, the degradation rate of DMP rises by 51 % and 104 % respectively on the basis of river water and domestic sewage. The reactive oxygen species that induced DMP degradation were OH and O₂^- and targeted adsorption and catalysis exert a synergistic effect. This study provides a new insight into targeted degradation for high-toxicity of emerging contaminants from complex aqueous environment.

Although Bacillus subtilis shows promise as a potential microbial cell factory for phospholipase D (PLD) expression, its production capacity remains insufficient. In this study, a secretory expression system, by co-optimization the promoter and signal peptides and employing a fed-batch fermentation strategy, was constructed to enhance expression of PLD from separate sources. The highest PLD production of 4056.9 U/mL was observed using this system, with a PLD production efficiency of 52.0 U/mL/h. Finally, a phosphatidic acid (PA) biosynthesis system was established using the constructed PLD as a catalyst, which achieved a PA yield of 219.1 g/L. This is the highest PLD production and PA yield reported globally to date. The protocol has significant potential for application for industrial PLD production as well as enzymatic phospholipids modification and also provides a valuable reference for overexpressing proteins in B. subtilis.