Bioresource Technology最新文献

Polyhydroxyalkanoates (PHAs) are biodegradable polyesters poised to replace plastics. Mixed culture (MC)-based three-stage processes are effective for carbon recovery from waste biomass, but the energy-intensive PHA synthesis is negatively affected by ammonia nitrogen, inhibiting PHA yield. This study aims to reuse ammonia nitrogen efficiently to mitigate its impact and prevent secondary pollution. PHA production assays under varying MC types, substrate types, feeding modes, and oxygen levels showed that the butyrate type substrate-enriched, high-load, low-oxygen mode (R_{BC(4)P(1)O(+)}) achieved a PHA conversion ratio of 0.45 g COD/g COD, 1.8 times higher than R_{BC(2)P(5)O(++)}, with reduced energy consumption and CO₂ emissions. Ammonia uptake was 0.06 g NH₃-N/g PHA at a productivity of 4.54 g/L, showing improved nitrogen recycling. Direct recycling of ammonia nitrogen-containing effluent in the PHA-producing MC enrichment system was performed, and no significant decrease was observed in either the physical properties of the MC flocs or the metrics related to PHA synthesis capacity. These results highlight the feasibility of ammonia reuse and indicate that the soluble microbial products in the effluent have minimal impact on MC enrichment.

A comprehensive understanding of microbial assembly is essential for achieving stable performance in biological wastewater treatment. Nevertheless, few studies have quantified these phenomena in detail, particularly in anammox-based processes. This study integrated mathematical and microbial approaches to analyze a 330-day anammox reactor with stable nitrogen removal efficiency (97 - 99%) despite changes in the high nitrogen loading rate, nitrogen concentration, and hydraulic retention time. A high value of functional redundancy (0.82) was obtained, with 84.6% of the microbial species following the neutral community model in stochastic processes, thus maintaining the stability of the dominant species and function in the microbial community. This study represents an initial attempt to quantify and evaluate the importance of functional redundancy in an anammox reactor. Based on these findings, engineering strategies have also been proposed to preserve high functional redundancy in stabilizing system performance under varying operating conditions.

Quorum sensing-regulated microbial behaviors often negatively impact wastewater treatment, leading to issues such as biofouling in membrane bioreactors, filamentous bulking, and resistance gene transfer. Quorum quenching, which counteracts quorum sensing, offers a promising strategy to mitigate these problems. This review aims to highlight overlooked perspectives for its application in microbial aggregates during wastewater treatment. First, the review examines the quorum sensing network present in microbial aggregates and the regulatory role of different quorum sensing systems in bacterial function and behavior during wastewater treatment. The discussions cover hierarchical, parallel, and competitive quorum sensing systems to clarify the interactions among these pathways. A precise quorum quenching strategy is proposed to enhance efficiency based on the type of quorum sensing regulation. Additionally, a bridge is established between the physiological characteristics of quorum quenching bacteria and process parameters to achieve process control over bacterial function and behavior during wastewater treatment.

Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predicting treated greywater quality is of great significance for water reuse. In this work, machine learning models were developed for simulating and predicting linear alkylbenzene sulfonate (LAS) removal using 152-days collected data from a battled oxygenic microalgal-bacteria biofilm reactor (MBBfR). By using nine variables including influent LAS, hydraulic retention time (HRT), biofilm density and thickness, specific oxygen production and consumption rates, microalgae and bacteria concentrations, and dissolved oxygen (DO), the support vector machine (SVM) model enabled the accurate LAS removal prediction (training set: R² = 0.995, (root mean square error, RMSE) = 0.076, (mean absolute error, MAE) = 0.069; testing set: R² = 0.961, RMSE = 0.251, MAE = 0.153). SVM can be also successfully applied for MBBfR operation optimization (HRT = 4.28 h, DO = 0.25 mg/L) that achieving accurate prediction of LAS mineralization.

The rapid growth of global energy demand accelerates the development of sustainable, clean, and renewable energy sources. Biohydrogen production, driven by functional microorganisms, offers a promising solution. Multiple species of bacteria, fungi, microalgae, and archaea were able to produce hydrogen. This study reviewed the typical strains, together with their hydrogen-production mechanisms, e.g., bio-photolysis, photo fermentation, and dark fermentation. Bacteria (e.g., purple non-sulfur bacteria) and microalgae (e.g., cyanobacteria) have been widely investigated, with respect to the limited fungi and archaea. It showed that temperature, pH, and substrate availability could all substantially influence the efficiency of biohydrogen production. Meanwhile, photo and dark fermentations are favored for future possible industrial applications. Furthermore, this review summarized practical applications of biohydrogen production, such as applications of bioreactors, waste treatments, and integrated systems for hydrogen production, highlighting the importance of functional microorganisms in advancing biohydrogen technology under global energy crisis.

Bio-based long-chain dicarboxylic acids (LCDAs) are in high demand in the polymer industry. These compounds have diverse applications as building blocks for polymers with distinct features, which lead to a fast-growing global LCDA market. However, bio-based LCDA production is currently limited in Europe as established processes are using the pathogenic yeast, Candida tropicalis. Therefore, this study aimed to establish safe and sustainable LCDA production using an industrially relevant non-pathogenic yeast, Starmerella bombicola. The metabolic network was successfully controlled to channel fatty acids from rapeseed oil into the ω-oxidation for the high production of LCDAs. Importantly, the engineered yeast strain produced 5.5 g/l of total LCDAs in shake flasks. Furthermore, pH optimization of the bioprocess resulted in a significant improvement of the total LCDA titer up to 117.8 g/l. The outcomes strongly demonstrate that S. bombicola can serve as a safe and efficient platform microorganism for industrial LCDA production.

Biodegradable plastics (BPs) and lignite, both rich in organic matter, present significant challenges for efficient conversion into clean energy. This study examined the anaerobic co-digestion of BPs and lignite under controlled laboratory conditions. The results demonstrated that the co-digestion of polylactic acid (PLA) and lignite (at a 1:2 mass ratio, with 5 g PLA and 10 g lignite as the model system) rapidly acclimated to the anaerobic environment, enhancing cumulative biogas production by 57 % compared to the mono-digestion of lignite alone. Synergistic fermentation significantly increased the production of organic small molecules while effectively degrading recalcitrant substances, including hydroxyl, aromatic, and methylene groups. Euryarchaeota emerged as the dominant phylum, with its abundance increasing by 118.4 %. Gene abundance for the carbon dioxide-to-methane conversion pathway increased by 60.1 %, confirming it as the primary methane metabolic pathway. These findings provide a novel method for the conversion and utilization of BPs and lignite.

Anammox coupled partial S⁰-driven autotrophic denitrification (PS⁰AD) technology represents an innovative approach for removing nitrogen from wastewater. The research highlighted the crucial role of biofilm on sulfur particles in the nitrogen removal process. Further analysis revealed that sulfur-oxidizing bacteria (SOB) are primarily distributed in the inner layer of the biofilm, while anammox bacteria (AnAOB) are relatively evenly distributed in inner and outer layers, with Thiobacillus and Candidatus Brocadia being the dominant species, respectively. Except for anammox and PS⁰AD processes, ¹⁵N isotope labeling tests determined that sulfur reshaped nitrogen metabolism pathways, providing solid evidence for the occurrence of sulfammox process. SOB and AnAOB collaborate in nitrogen and sulfur conversion, with SOB-drived PS⁰AD processes reducing nitrate to nitrite for AnAOB to remove ammonia. Conversely, the nitrate produced from anammox process can be reused by SOB. Metagenomic analyses verified that SOB drove the PS⁰AD process through encoding soxBYZ gene, while AnAOB might play an important role in simultaneously driving the anammox and sulfammox processes. These findings underscore the importance of biofilm and clarify the nitrogen-sulfur cycle mechanisms within the coupled system.

A biohydrogen and polyhydroxyalkanoates (PHA)-producing natural photoheterotrophic mixed culture composed mainly by Rhodopseudomonas palustris and Clostridium sp was studied by a proteomic analysis under non-growth conditions (nitrogen-absence and organic acids). Proteins in C. pasteurianum were upregulated, particularly those related to stress response. In contrast, C. pasteurianum in the consortium did not present such proteins, showing the advantage of being part of it. Both cultures showed proteins involved in organic acid metabolism and biohydrogen production, such as lactate dehydrogenase, ferredoxins, and hydrogenases. Proteomes of R. palustris as single culture and in consortium showed that organic acids were redirected into central carbon pathways to generate reduced equivalents for biohydrogen production. Light-harvesting proteins and fatty acid metabolism linked to PHA accumulation were also upregulated. This study provides insights into how the proteomes of individual organisms and their consortium counterparts adapt to non-growth conditions, shedding light on how microbial interactions influence protein expression.