Bioprocess and Biosystems Engineering最新文献

{"title":"Multi-strain synergistic fermentation of waste biomass with bacterial cellulose fermentation wastewater to prepare sustainable detergents.","authors":"Shuangfei Zhang, Jin Xu","doi":"10.1007/s00449-025-03172-y","DOIUrl":"10.1007/s00449-025-03172-y","url":null,"abstract":"<p><p>Synthetic surfactants threaten the environment and public health due to their difficult degradation and high toxicity, creating a need for low-energy, high-efficiency green alternatives. Preparing natural surfactants is often expensive, inefficient, and complex, while the resource utilization of bacterial cellulose (BC) fermentation wastewater is still tricky. In this study, waste biomass, including pineapple peel and Sapindus mukorossi Gaertn., was combined with BC fermentation wastewater using synergistic fermentation by Saccharomyces cerevisiae, Lactobacillus sp., and Acetobacter sp. to extract triterpene saponins and proteases. This process was used to prepare green detergents enriched with surface-active substances. The results showed that after 10 days of fermentation, the saponin extraction efficiency reached 84.29%, significantly outperforming traditional methods such as ultrasound-assisted alcoholic extraction (16.17%), ultrasound-water immersion (19.00%), double extraction (31.72%), and cellulase-assisted extraction (38.98%). Protease activity reached 36.92 ± 0.20 U/mg. The fermentation broth reduced surface tension by 36.95 mN/m compared to pure water, which improved emulsification and dispersion. It exhibited high surface activity and foam stability with a low critical micelle concentration (CMC) of 0.163 ± 0.01 mg/mL. Green detergents showed a 20.71-45.87% higher efficiency than synthetic detergents in removing carbon black oil (90.38%), sebum (100%), and protein stains (89%). Saponins contributed to this advantage by reducing surface tension (P ≤ 0.01) and enhancing wettability (P ≤ 0.05). This study provides a sustainable new solution for the high-value utilization of waste biomass and BC fermentation wastewater and exhibits the broad prospects of green detergents for environmental and industrial applications.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":"1221-1238"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143973596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing anammox reactor performance: the role of biotic and abiotic particle addition.","authors":"Xiaoyi Ren, Xin Ye, Huiqun Shi, Mingyuan Wang, Shaohua Chen, Xiaojun Wang","doi":"10.1007/s00449-025-03195-5","DOIUrl":"https://doi.org/10.1007/s00449-025-03195-5","url":null,"abstract":"<p><p>The slow growth rate of anaerobic ammonium oxidation (anammox) bacteria and susceptibility of anammox sludge to washout pose significant challenges for the successful start-up and stable operation of the anammox process. Granulation may resolve this issue. This study investigated the effects of biotic and abiotic particle addition on the start-up and operation of anammox reactor by inoculating seed sludge with suspended, granular, magnesium ammonium phosphate (MAP) coupled anammox sludge, and pure MAP precipitates, aiming to promote granulation and preserve anammox functionality. The results showed that the start-up period of the reactor was consistent approximately 55 days, irrespective of inoculation type. Notably, the addition of anammox sludge and MAP precipitates did not notably expedite the start-up process. However, incorporating of biotic and abiotic particle additions significantly enhanced the nitrogen removal rate per unit volume of sludge (p < 0.05), achieving 2.20-2.62 kg N m⁻³ d⁻¹. In contrast, the control group and the group inoculated with suspended anammox sludge achieved only 1.32 and 1.38 kg N m⁻³ d⁻¹, respectively. Furthermore, particle addition stimulated the formation of high-density, larger-sized granular sludge, particularly when anammox-MAP and pure MAP particles were introduced. MAP may offer adsorption sites for bacterial retention and accelerate granulation, but it was ineffective for reactor start-up, which mainly involved the initial enrichment and activity manifestation of anammox bacteria. Although the experimental group with suspended anammox sludge exhibited comparable anammox activity, its stability deteriorated over time due to the washout of low-density sludge. Anammox bacteria was enriched in both biotic and abiotic particle addition groups. MAP contributed to a higher abundance of anammox bacteria and a shift in the dominant genus from Candidatus Brocadia to Candidatus Kuenenia, likely attributable to Candidatus Kuenenia's superior substrate affinity. Collectively, these findings provide a scalable approach to improving anammox reactor efficiency in wastewater treatment plants.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144526424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methodology for contamination detection and reduction in fermentation processes using machine learning.","authors":"Xuan Dung James Nguyen, Y A Liu, Christopher C McDowell, Luke Dooley","doi":"10.1007/s00449-025-03194-6","DOIUrl":"https://doi.org/10.1007/s00449-025-03194-6","url":null,"abstract":"<p><p>This paper demonstrates an accurate and efficient methodology for fermentation contamination detection and reduction using two machine learning (ML) methods, including one-class support vector machine and autoencoders. We also optimize as many hyperparameters as possible prior to the training of the ML models to improve the model accuracy and efficiency, and choose a Python platform called Optuna, to enable the parallel execution of hyperparameter optimization (HPO). We recommend using Bayesian optimization with hyperband algorithm to carry out HPO. Results show that we can predict contaminated fermentation batches with recall up to 1.0 without sacrificing the precision and specificity of non-contaminated batches, which read up to 0.96 and 0.99, respectively. One-class support vector machine outperforms autoencoders in terms of precision and specificity even though they both achieve an outstanding recall of 1.0. These models demonstrate high accuracy in detecting contamination without requiring labeled contaminated data and are suitable for integration into real-time fermentation monitoring systems with minimal latency and retraining needs. In addition, we benchmark our ML methods against a traditional threshold-based contamination detection approach (mean <math><mo>±</mo></math> 3 <math><mi>σ</mi></math> rule) to quantify the added value of using data-driven models. Finally, we identify important independent variables contributing to the contaminated batches and give recommendations on how to regulate them to reduce the likelihood of contamination.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144494538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current overview of the mechanistic pathways and influence of physicochemical parameters on the microbial synthesis and applications of metallic nanoparticles.","authors":"Sharad Bhatnagar, Hideki Aoyagi","doi":"10.1007/s00449-025-03190-w","DOIUrl":"https://doi.org/10.1007/s00449-025-03190-w","url":null,"abstract":"<p><p>Microbe-assisted synthesis of metallic nanoparticles (NPs) has carved a niche among different NP generation methods owing to its simplicity, non-toxicity, low energy requirements, and potential scalability. Microorganisms have ability to produce NPs both intracellularly and extracellularly due to the presence of enzymes, proteins, and other biomolecules that can act as reducing and capping agents. However, a complete mechanistic understanding of this biosynthesis remains elusive. Biosynthesis is influenced by a myriad of factors, such as pH, temperature, reactant concentrations, reaction time, and light. The physicochemical factors associated with the synthesis process affect the morphological, biological, and catalytic properties of the NPs produced. This review focuses on the current paradigm and gaps in our understanding of microbial production pathways and the effects of physicochemical factors on the synthesis and application of various types of metallic NPs. The surveyed literature clearly elucidated the effect of these factors on the size, shape, dispersity, surface properties, and the reaction kinetics. The variations in morphological and surface properties were found to affect the performance of NPs in different applications such as catalysis, antimicrobial, and anticancer activities. Understanding the mechanistic pathways and the influence of physicochemical factors on synthesis can be potentially beneficial for the production of NPs with controlled shapes and sizes, tailored for specific applications.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144494537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors affecting production of Scopulariopsis brevicaulis spores for use in self-healing concrete.","authors":"Ahsanul Kabir Sumon, Lu-Kwang Ju","doi":"10.1007/s00449-025-03189-3","DOIUrl":"https://doi.org/10.1007/s00449-025-03189-3","url":null,"abstract":"<p><p>Concrete durability is compromised by its susceptibility to cracking, necessitating innovative solutions like self-healing concrete (SHC). Scopulariopsis brevicaulis is capable of biomineralization and its spores were found to hold high potential for use in SHC. Realizing this potential requires clean and effective production of S. brevicaulis spores, which remains unexplored. Here the factors and processes conducive to high productivity of S. brevicaulis spores were investigated. Suitability of cheap, renewable soy-based substrates: soy molasses (SM), soy hull (SH), and soy flour (SF) were first evaluated, and SH was found suitable. The comparison of SH-based solid-state fermentation (SSF) with submerged fermentation (SmF) revealed SSF's superiority, producing spores earlier and with a more than 4.5-fold higher rate. Further study of SSF parameters, including initial spore inoculum, moisture, SH particle size, sugar supplementation, N-source supplementation, pH, salt addition, light (vs. dark) condition, and occasional mixing/shaking plus water addition, highlighted conditions that significantly boost spore production. Optimal moisture content (60-67%) and elevated medium pH (10-11) and salt addition (15 g/L NaCl) were key to enhancing yield, the latter likely induced stress-driven sporulation. Using larger SH particles (> 850 µm) also proved beneficial, improving oxygen transfer. Electron microscopy confirmed the effective attachment and penetration of spore chains into SH particles. This work significantly improved the technical and economic feasibility of producing S. brevicaulis spores for industrial SHC development.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144483111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proteomics and bioinformatics guided discovery of microalgal multifunctional peptides for novel nutraceutical applications.","authors":"Montassar Romdhani, Jihen Dhaouafi, Barbara Deracinois, Christophe Flahaut, Naïma Nedjar, Rafik Balti","doi":"10.1007/s00449-025-03192-8","DOIUrl":"https://doi.org/10.1007/s00449-025-03192-8","url":null,"abstract":"<p><p>This study aimed to identify and characterize bioactive peptides derived from protein hydrolysates of Arthrospira platensis (APPH) and Tetraselmis chuii (TCPH) using an integrated peptidomics and bioinformatics approach. Proteins extracted from the microalgae were hydrolyzed using pepsin (EC 3.4.23.1) at various enzyme/substrate (E/S) ratios. APPH and TCPH, prepared at an E/S ratio of 1/10 (w/w), were analyzed using peptidomics through reverse-phase high-performance liquid chromatography (RP-HPLC) coupled with tandem mass spectrometry (MS/MS). Using the UniProtKB database, a total of 265 unique peptides were identified, including 187 peptides from APPH and 78 peptides from TCPH. Subsequent in silico analysis of these peptides revealed favorable physicochemical properties, with a notable distribution of hydrophobic (APPH: 26; TCPH: 5), amphipathic (APPH: 70; TCPH: 16), and hydrophilic peptides (APPH: 59; TCPH: 17). Toxicity assessments confirmed that none of the peptides showed hemolytic or cytotoxic risks, except for one peptide identified in TCPH with potential cytotoxicity. Furthermore, bioactivity predictions demonstrated significant multifunctional properties (scores exceeding the 0.500 threshold), identifying peptides with antihypertensive (APPH: 2; TCPH: 1), anti-diabetic (APPH: 2), anti-inflammatory (APPH: 14; TCPH: 5) and antimicrobial (APPH: 7) activities. The current study thus establishes protein hydrolysates from A. platensis and T. chuii as promising sources of bioactive peptides suitable for nutraceutical applications. Our integrated analytical and computational strategy provides critical insights into peptide multifunctionality, supporting further research and development of microalgae-derived peptides.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144483112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solid-state fermentation of pristinamycin by Streptomyces pristinaespiralis NRRL ISP-5338 using D-optimal design.","authors":"Muath Suliman, Amr S Bishr, Sally T K Tohamy, Mohammad Y Alshahrani, Khaled M Aboshanab","doi":"10.1007/s00449-025-03188-4","DOIUrl":"https://doi.org/10.1007/s00449-025-03188-4","url":null,"abstract":"<p><p>Pristinamycin (PST), produced by Streptomyces pristinaespiralis NRRL ISP-5338, is a streptogramin antibiotic with remarkably broad-spectrum bactericidal activity. The production of PST from its natural producer remains challenging. In the literature, a few reports examined PST production using submerged liquid fermentation (SLF). However, the literature survey revealed no reports that studied its production using solid-state fermentation (SSF). To our knowledge, this is the first report about the production optimization of PST using SSF. Therefore, in this study, we aimed to optimize various nutritional and environmental factors influencing its production as one-factor-at-a-time (OFAT) or as a multifactorial response surface method (RSM) using SSF. Three factors, including types of solid substrates, composition of the moistening broth, and incubation time, were optimized as OFAT. The OFAT optimal conditions were wheat bran as a solid substrate, IPS5 as a moistening broth, and 9 days as incubation time. These conditions increased PST production from 0.395 to 0.467 mg/g initial dry substrate (IDS). Using RSM, three factors--the initial pH of the moistening broth, the incubation temperature, and the inoculum size (v/w)--were statistically optimized, and the model was statistically significant with a p-value < 0.05. It resulted in a 2.3-fold increase in PST production (0.910 mg/g IDS) compared to the unoptimized SSF conditions (0.395 mg/g IDS) and a 5.35-fold increase from that obtained by the SLF (0.170 mg /mL). In conclusion, the SSF is an efficient and simple method for PST production, and the optimized conditions are highly recommended for scaling up.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144473989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aesculus hippocastanum extract-mediated biosynthesis of silver-decorated zinc oxide nanoparticles and investigation of their photocatalytic, antibacterial, and antioxidant properties.","authors":"Sobhan Mortazavi-Derazkola, Maryam Samadipour, Pouria Mohammadparast-Tabas, Masoud Yousefi","doi":"10.1007/s00449-025-03193-7","DOIUrl":"10.1007/s00449-025-03193-7","url":null,"abstract":"<p><p>In this research, silver-decorated zinc oxide nanoparticles (ZnO-Ag NPs) were fabricated using Aesculus hippocastanum fruit extract (ZnO-Ag@AHFE NPs), and their catalytic and antimicrobial properties were studied. The nanoparticles were identified using XRD, TEM, and FT-IR analyses, which confirmed their spherical morphology, uniform structure, and particle sizes ranging from 50 to 70 nm. The ZnO-Ag@AHFE NPs illustrated high antibacterial performance compared to the extract and ZnO NPs alone, achieving a minimum inhibitory concentration (MIC) of 125 µg/mL against Escherichia coli and Pseudomonas aeruginosa. Additionally, the ZnO-Ag@AHFE NPs exhibited outstanding photocatalytic efficiency, degrading methylene blue and rhodamine B dyes by 97.6% and 94.3%, respectively, surpassing the performance of other catalysts. Antioxidant assays revealed that the nanoparticles inhibited 85% of DPPH free radicals, underscoring their potential in biological applications. This study presents a green method using A. hippocastanum fruit extract, offering an innovative approach to enhance the antibacterial, catalytic, and antioxidant properties of ZnO-Ag NPs. These findings highlight the transformative potential of green synthesis strategies for the development of multifunctional nanomaterials.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144367866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Production of copper nanoparticles using genetically engineered Komagataella phaffii.","authors":"Cancan Dong, Fan Wu, Shufan Liu, Youyan Rong, Kai Hong, Yumeng Li, Jiao Meng, Xin Wu","doi":"10.1007/s00449-025-03191-9","DOIUrl":"10.1007/s00449-025-03191-9","url":null,"abstract":"<p><p>With the increasing application of copper nanoparticles (CuNPs) as antibacterial agents, numerous studies have emerged in recent years focusing on their preparation and utilization. However, the existing physical and chemical processes for CuNPs synthesis are complex and environmentally hazardous, creating a demand for greener alternatives. Komagataella phaffii has been recognized as a cost-effective system for metal biosorption. Nevertheless, high concentrations of heavy metal particles inhibit cell growth and result in low biosorption efficiency of metal-based nanoparticles (NPs). To address this issue, we engineered the K. phaffii strain X-33-Cyb5R by expressing the cytochrome b-5 reductase (Cyb5R) enzyme, enhancing its tolerance to elevated heavy metal concentrations and promoting CuNPs biosorption. Through further optimization of biosorption conditions, CuNPs production reached 14.27 mg/g dry cell weight (DCW) after 36 h, utilizing 12 mmol/L CuSO₄ at 30 °C and pH 4. The adsorbed particles on the surface of the modified strain K. phaffii X-33-Cyb5R were confirmed to be CuNPs with diameters ranging from 40 to 80 nm. Notably, the CuNPs synthesized in this study exhibited potent antibacterial activity. This research not only provides a novel approach for the construction of highly metal-tolerant strains and efficient CuNPs production but also offers new insights for the development and utilization of environmentally friendly antibacterial agents.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A study on time-series prediction and analysis of acidity of Daqu based on multivariate data fusion and KNN-Attention-LSTM-XGBoost modeling.","authors":"Haili Yang, Hao Xia, Sai Liu, Shan Chen, Lan Li, Xilong Liao, Lei Fei, Liangliang Xie, Jianping Tian, Xinjun Hu","doi":"10.1007/s00449-025-03187-5","DOIUrl":"https://doi.org/10.1007/s00449-025-03187-5","url":null,"abstract":"<p><p>Daqu is a traditional Chinese brewing ingredient that serves dual functions of saccharification and fermentation during the brewing process. The acidity content during the Daqu fermentation process directly affects the quality of the Daqu. Traditional methods for measuring Daqu acidity are complex and exhibit lag, making it difficult to monitor fermentation acidity in real time. Given the strong correlation between Daqu acidity and environmental variables, this paper proposes a time series prediction model for Daqu acidity based on the KNN-Attention-LSTM-XGBoost model. Upon collecting and analyzing the microenvironmental parameters of Daqu, the XGBoost model was used to select two optimal imputation methods (LFBI and KNN). Partial Least Squares Regression (PLSR) was employed to extract key parameters, and feature extraction using the lag and rolling window methods was performed to capture temporal trends and fluctuations. Comparative analysis revealed that KNN preprocessing combined with the Attention-LSTM-XGBoost model performed best in predicting Daqu acidity, with R² values reaching 0.9790, 0.9768, and 0.9636 for the upper, middle, and lower Daqu layers, respectively. This combination outperformed the LSTM-XGBoost and XGBoost models, with improvements of 3.87%, 1.11%, and 2.84% compared to LSTM-XGBoost, and 4.70%, 4.37%, and 8.46% compared to XGBoost. This study addresses the challenge of predicting Daqu acidity during fermentation and provides insights into the optimization of the Daqu fermentation process.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144293276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}