Algal Research-Biomass Biofuels and Bioproducts最新文献

{"title":"Global phylogeny, biogeography, and evolution of the agarophyte family Gracilariaceae with key insights into broadly distributed and cultivated species","authors":"Christophe Vieira ,&nbsp;Prismabella Wilis Andiska ,&nbsp;Carlos F.D. Gurgel ,&nbsp;Mi Yeon Yang ,&nbsp;Myung Sook Kim","doi":"10.1016/j.algal.2025.103994","DOIUrl":"10.1016/j.algal.2025.103994","url":null,"abstract":"<div><div>This study investigates the global phylogeny, biogeography, and evolutionary history of Gracilariaceae, an ecologically and economically significant red algal family, with insights into cultivated and broadly distributed species. Using all available <em>cox</em>1 and <em>rbc</em>L DNA sequences and associated biogeographic data, we constructed the most comprehensive Gracilariaceae phylogeny and time-tree to date, mapping DNA-supported species distributions. Our dataset includes 161 Gracilariaceae lineages, of which 121 correspond to currently accepted species names. This dataset represents approximately 50 % of the currently described diversity within the family. However, considering all 161 lineages, our sampling covers approximately 66 % of the potential diversity represented by currently described species. Phylogenetic analyses resolved eight distinct clades, confirming the monophyly of <em>Gracilaria</em>, <em>Gracilariopsis</em>, and <em>Melanthalia</em>, but not <em>Curdiea</em>. Divergence time estimates place the Gracilariaceae crown group origin in the Jurassic (~170 Mya), with a Paleogene diversification burst. Global diversity hotspots occur in the tropical Central Indo-Pacific and Atlantic, followed by Northern Temperate regions. Approximately 73 % of species diversity is tropical, with 85 % concentrated in the Central Indo-Pacific and Atlantic. Biogeographic reconstructions suggest a Central Indo-Pacific origin for the order, followed by global dispersal and diversification hotspots in the same tropical regions. Macroevolutionary analyses reveal varying speciation patterns across clades, with the youngest, originating in the tropical Atlantic, exhibiting a notable speciation burst associated with flattened thallus morphology, suggesting a link between morphology and diversification. Geographic range restriction is typical in Gracilariaceae, with 84 % of species limited to a single longitudinal and 80 % to a single latitudinal region. Widely distributed species are exceptional and include previously documented introduced species. We identified 15 species with wide or disjunct distributions, detailing their geographic distribution and potential origins. Aquaculture poses invasion risks, as 10 of the 38 cultivated species exhibit broad or disjunct distributions, including previously documented cases of introduced species.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"88 ","pages":"Article 103994"},"PeriodicalIF":4.6,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engineering a complete mevalonate pathway in Chlamydomonas reinhardtii for enhanced isoprenoid production","authors":"Jingkai Wang ,&nbsp;Muhammad Anwar ,&nbsp;Jiancheng Li ,&nbsp;Lin Dan ,&nbsp;Bin Jia ,&nbsp;Zhangli Hu","doi":"10.1016/j.algal.2025.103987","DOIUrl":"10.1016/j.algal.2025.103987","url":null,"abstract":"<div><div>Isoprenoids are a diverse class of natural compounds with significant industrial applications. While microbial production offers advantages, limitations arise from the absence of the mevalonate (MVA) pathway in many high-yield hosts. Here, we report the successful construction of a complete and functional MVA pathway in the eukaryotic microalga <em>Chlamydomonas reinhardtii</em>, a model organism with high photosynthetic efficiency and simple growth requirements. Employing a two-step transformation strategy and optimized gene expression cassettes, we achieved robust expression of both upstream and downstream MVA pathway enzymes. Notably, the introduction of the upstream module alone led to a dramatic seven-fold increase in isopentenyl pyrophosphate (IPP) levels, while co-expression of the complete pathway resulted in a 50 % increase in total carotenoid production. Transcriptomic analysis revealed significant upregulation of genes involved in carotenoid biosynthesis, confirming the redirection of metabolic flux towards terpenoid synthesis. Our findings demonstrate that a strategically engineered MVA pathway can overcome inherent limitations in <em>C. reinhardtii</em> metabolism, establishing this microalga as a powerful platform for the efficient, scalable production of diverse isoprenoids and other high-value compounds.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"88 ","pages":"Article 103987"},"PeriodicalIF":4.6,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143636436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physiological, transcriptomic and metabolomic responses of the marine diatom Phaeodactylum tricornutum to the auxin IAA","authors":"Yu-Ting Chen ,&nbsp;Dong-Sheng Zhao ,&nbsp;Xiao-Li Liu,&nbsp;Huan Yang,&nbsp;Run-Ze Gu,&nbsp;Nan Li,&nbsp;Xiufeng Yan,&nbsp;Hui-Xi Zou","doi":"10.1016/j.algal.2025.103993","DOIUrl":"10.1016/j.algal.2025.103993","url":null,"abstract":"<div><div>Auxin, an essential phytohormone, is widely used to promote plant growth and development. However, the effect of auxin on diatoms and its mechanism remain underexplored. Here, we studied the impact of the auxin indole 3-acetic acid (IAA) on the marine diatom <em>Phaeodactylum tricornutum</em> and the underlying molecular mechanisms. We found that 5 μg L⁻¹ of IAA promotes the growth of <em>P. tricornutum</em> in a time-dependent manner, with the most pronounced effect observed after 96 h of treatment, resulting in a growth promotion rate of 10.6 %. Treatment with IAA increased the content of photosynthetic pigments, improved the photosynthetic efficiency, and decreased the activity of antioxidant enzymes. In addition, transcriptomics showed that IAA exposure leads to upregulation of a large number of differential genes (DEGs) in carbon fixation and porphyrin metabolism, several of which were verified by qPCR. Furthermore, corresponding metabolites of these pathways were also validated by metabolomic analysis. Thus, IAA exhibits growth-promotion effect on the diatom mainly through increasing photosynthetic carbon sequestration and the expression of genes in porphyrin synthesis. Our results provide key data on the action mechanism of IAA in promoting the growth of a diatom.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"88 ","pages":"Article 103993"},"PeriodicalIF":4.6,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlation analysis between pH value of Yingna River with environmental factors and phytoplankton in China based on multivariable statistics analysis","authors":"Yaqiang Chen,&nbsp;Huixia Chen,&nbsp;Jingyi Zhou,&nbsp;Furong Liu,&nbsp;Zihan Wang,&nbsp;Cheng Qian,&nbsp;Xinyu Sun","doi":"10.1016/j.algal.2025.103991","DOIUrl":"10.1016/j.algal.2025.103991","url":null,"abstract":"<div><div>The Yingna River flows through Dalian and Dandong, China, before emptying into the Yellow Sea, where the pH value in some areas exceeds the standard limits. To investigate the key factors and mechanisms driving pH variation, the Yingna River, Xiaosi River, and Zhuang River were selected as the study subjects. Results indicate that phytoplankton in all three rivers primarily belong to Chlorophyta and Bacillariophyta, with <em>Chlorella, Cyclotella</em>, and <em>Navicula</em> as dominant species. The Yingna River also has unique dominant species such as <em>Scenedesmus quadricauda</em>, <em>Scenedesmus spinosus</em> and <em>Chroococcus</em>. Its main functional groups are B, J, L0, X1, X2. Environmental factor analysis shows that the pH value of the Yingna River was significantly higher than that of the other two rivers (<em>P</em> &lt; 0.05). Carbonates(CO₃²^‐)was present in the water, while total alkalinity (TA), bicarbonate(HCO₃^‐, and active phosphorus (PO₄-P) concentrations were significantly lower than those in the Xiaosi River (<em>P</em> &lt; 0.05). A generalized additive model (GAM) was constructed for pH with HCO₃^‐, Chemical Oxygen Demand (COD), CO₃²^‐, and Ammonia nitrogen (NH₄-N), achieving an Akaike information criterion (AIC) of ‐22.98, with an explanatory power of 99.79%. The Mantel test demonstrated that pH value, HCO₃^‐, NH₄-N, and N:P ratio were the primary factors influencing the phytoplankton diversity indices. Redundancy analysis (RDA) indicated that pH value, HCO₃^‐, NH₄-N, and N:P ratio were the main factors affecting the dominant species of phytoplankton. This study aims to analyze the relationship between pH and other environmental factors, as well as phytoplankton, providing a reference for the ecological protection and restoration of the Yingna River.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"88 ","pages":"Article 103991"},"PeriodicalIF":4.6,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rheological characterization and modeling of freshwater and marine microalgae and cyanobacteria mixed cultures","authors":"Conor Button ,&nbsp;Nature Poddar ,&nbsp;Tom Lacassagne ,&nbsp;Mathieu Pernice ,&nbsp;Vishal Gupta ,&nbsp;Lisa Aditya ,&nbsp;Unnikrishnan Kuzhiumparambil ,&nbsp;Peter J. Ralph","doi":"10.1016/j.algal.2025.103988","DOIUrl":"10.1016/j.algal.2025.103988","url":null,"abstract":"<div><div>Rheology is crucial for algal cultivation, affecting mixing efficiency and biomass productivity. There is limited research on the rheological aspects of mixed cultures of algae and cyanobacteria. The study aimed to investigate the rheological properties of microalgae and cyanobacteria mixed cultures (<em>Chlorella vulgaris</em> and <em>Microcystis aeruginosa</em>; <em>Nannochloropsis oceanica</em> and <em>Prochlorococcus</em> sp.). While all species were spherical and non-motile with similar aspect ratios, <em>Prochlorococcus</em> sp. exhibited meaningful cell-cell repulsion, increasing its apparent effective volume fraction by 20–40 %. Mixed suspensions of <em>C. vulgaris</em> and <em>M. aeruginosa</em> demonstrated shear thinning at all concentrations, accurately described by a power law model across the explored shear-rate range. The conventional Einstein and Krieger-Dougherty models confirmed that viscosity increased with cell concentration, with <em>Prochlorococcus</em> sp. having the greatest impact. However, these models did not effectively account for mixed suspensions. A novel model, based on Pal (2023) [1] and incorporating two independent parameters, provided a greater reflection of the viscosity in mixed suspensions. Interestingly, parameters for this new mixed culture model could be derived from mono-culture rheological models within the studied concentration range. This first-of-its-kind study highlighted the significance of rheology in optimizing mixed cultures and identifies the need for further research to address rheological challenges, notably towards higher industrial-scale biomass densities.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"88 ","pages":"Article 103988"},"PeriodicalIF":4.6,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning - based optimization of integrated extraction method for R-phycoerythrin from dry biomass of Gracilaria corticata","authors":"Vaishali Saraswat ,&nbsp;Vivek Gupta ,&nbsp;Ganesh Alagarasan ,&nbsp;Trivikram Nallamilli ,&nbsp;Eswarayya Ramireddy ,&nbsp;K.S.M.S. Raghavarao","doi":"10.1016/j.algal.2025.103986","DOIUrl":"10.1016/j.algal.2025.103986","url":null,"abstract":"<div><div>Macroalgal biomass, a valuable source of bioactive compounds, is highly perishable in its wet form. Drying helps in the extension of its shelf life. However, conventional wisdom indicates that drying increases the mass transfer resistance, making extraction of biomolecules from dry biomass more difficult. The present study is aimed at developing the most suitable method for the primary extraction of R- Phycoerythrin (R-PE) from dry biomass of <em>Gracilaria corticata.</em> Practically, such reports are not available. Different extraction methods alone and their integration (in order to enhance the yield) are employed. A pre-soaking (12h) step of the dry biomass prior to extraction is found to significantly decrease the mass transfer resistance in all the primary extraction methods. Key extraction process parameters such as solid-liquid ratio (1:20, 1:30, and 1:40), extraction time (10, 20, and 30 min), and ultrasonication amplitude (20, 40, and 60 %) were standardized. The Box-Behnken Design (BBD) is employed to identify the configurations covering the entire range of the selected parameters of the integrated extraction method. This approach enabled optimization through a reduced number of experiments. Further, a machine learning model, the Gradient boosting model, is employed to predict the yield of R-PE for all possible combinations of extraction process parameters. Among all the methods employed, ‘ultrasound-assisted extraction + homogenization’ resulted in the highest yield of R-PE (1.23 mg/g dw) with an extraction efficiency of 87.8 %.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"88 ","pages":"Article 103986"},"PeriodicalIF":4.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of an adaptive temperature model for closed microalgae cultivation systems","authors":"A. Gharib ,&nbsp;W. Djema ,&nbsp;P. Moñino Fernández ,&nbsp;R. Chin-On ,&nbsp;M. Janssen ,&nbsp;O. Bernard","doi":"10.1016/j.algal.2024.103838","DOIUrl":"10.1016/j.algal.2024.103838","url":null,"abstract":"<div><div>Accurate temperature prediction plays a crucial role in optimizing microalgae growth conditions. For that, we recently developed a generic adaptive temperature prediction model, called the <em>Simplified Auto Tuning Heat Exchange (SATHE)</em> model, which was initially tailored to open raceway ponds. In this study, we adapt and validate the SATHE model specifically for the case of closed reactors. We assess two distinct closed reactor types across different geographical locations: a tubular photobioreactor situated in a greenhouse in Wageningen (Netherlands) and a flat panel reactor on Bonaire, a Caribbean island in the Lesser Antilles. Finally, we discuss the practical applications of our model. We test the reactors' performance in different geographical settings and assess energy consumption under varied meteorological conditions. This paper highlights the versatile model's potential for optimizing closed-reactor operation and thermal management in various geographical locations.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"86 ","pages":"Article 103838"},"PeriodicalIF":4.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green and sustainable FAME production: Enhanced continuous catalysis based on biofilm surface-displayed enzymes","authors":"Peifang Ren ,&nbsp;Wei Zhao ,&nbsp;Chaowei Zhou ,&nbsp;Tianpeng Chen ,&nbsp;Wenjun Sun ,&nbsp;Yong Chen","doi":"10.1016/j.algal.2025.103984","DOIUrl":"10.1016/j.algal.2025.103984","url":null,"abstract":"<div><div>Fatty acid methyl esters (FAME) are the primary constituents of biodiesel, known for their renewability and environmental benefits. However, during the production of FAME, particularly when homogeneous catalysts are employed, the incomplete separation of the catalyst from the reaction medium poses a significant technical challenge. In this study, we developed an editable, sustainable, and efficient living material for FAME production based on a biofilm system. By overexpressing TasA in <em>Bacillus subtilis</em> we enhanced biofilm formation and created a functional carrier material with lipase activity. The SpyTag/SpyCatcher system immobilizes LipA onto the biofilm surface, improving enzyme stability and reusability. The resulting biofilm displayed a high catalytic capacity for FAME synthesis and could be regenerated to maintain enzyme activity. The living material could catalyze six consecutive batches with a maximum yield of 0.962 nmol mL⁻¹. This approach offers a green and sustainable solution for industrial biocatalysis, aligning with environmental sustainability goals.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"88 ","pages":"Article 103984"},"PeriodicalIF":4.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Valorisation of tannery wastewater with indigenous microalgal strains: Acclimation, identification, biomass characterization and remediation","authors":"A. Ranjan,&nbsp;M. Lilly,&nbsp;N. Deepnarain,&nbsp;P.J. Welz","doi":"10.1016/j.algal.2025.103953","DOIUrl":"10.1016/j.algal.2025.103953","url":null,"abstract":"<div><div>Tannery wastewater contains high concentrations of inorganic and organic pollutants and requires extensive remediation before discharge. In this study, four of ten promising microalgal strains were successfully acclimated to 50 % raw tannery effluent. Three of the strains were indigenous species that were identified using molecular techniques and designated as <em>Tetradesmus obliquus</em> CPUT-L1, <em>Tetradesmus dimorphus</em> CPUT-L2 and <em>Neochloris</em> sp. CPUT-W1. The biomass concentrations (1.50 ± 0.017 to 1.11 ± 0.04 g/L) compared well with literature values for growth of microalgae in wastewater. Growth in the nitrogen-rich tannery effluent drove the metabolism of all four strains to produce higher amounts of carbohydrates (12.7–19.8%wt.wt.) and proteins (24.5–37.2%wt.wt.) than fatty acids (7.40–13.3%wt.wt.). Results suggest that the high-protein biomass could be used as an animal feed supplement because all samples also contained a range of micronutrients, and the concentrations of toxic metals were compliant with the World Health Organization standards for human consumption. All strains were able to completely remove ammonia (12 mg/L) from the effluent. The concentrations of soluble COD (489 ± 4 mg/L) did not change significantly after remediation and there were notable increases (64–89 %) in total COD from influent (876 ± 4 mg/L) to effluent due to autotrophic microalgal growth. All the strains formed large coenobia, allowing the biomass to settle readily without the need for physical or chemical interventions. Overall, the results showed that the acclimated microalgal strains have the potential to be used in a tannery biorefinery for simultaneous polishing of tannery effluent and possible utilization of the biomass as animal feed.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"86 ","pages":"Article 103953"},"PeriodicalIF":4.6,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of microalgae harvesting efficiency and identification of important parameters for ballasted flotation using an optimized machine learning model","authors":"Kaiwei Xu ,&nbsp;Zihan Zhu ,&nbsp;Haining Yu ,&nbsp;Xiaotong Zou","doi":"10.1016/j.algal.2025.103985","DOIUrl":"10.1016/j.algal.2025.103985","url":null,"abstract":"<div><div>Ballasted flotation is an innovative and effective technique for the separation and recovery of microalgae. However, conventional experimental approaches to determine the optimal harvesting efficiency of microalgae are often inefficient and subjective, largely due to the varying properties of microalgae, types of ballasted agents (low-density materials, LDMs), and operational conditions. This study aims to develop a machine learning approach to establish the relationship between various features and harvesting efficiency in ballasted flotation, offering new insights for achieving efficient microalgal harvesting. The results showed that the performance of the Backpropagation Neural Network (BPNN) model outperformed other machine learning models examined in the study. To further enhance the predictive accuracy of the BPNN model, two additional optimization algorithms, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), were used to optimize the initial parameters of BPNN model. The findings demonstrated that both optimization models effectively improved the predictive ability of the BPNN model, with GA-BPNN exhibiting smaller testing Mean Absolute Error and Root Mean Square Error values (0.041 and 0.007, respectively), and a higher testing R² value (0.923), indicating superior performance compared to PSO-BPNN. SHAP analysis identified that microalgal concentration and the diameter of LDMs were the two most influential parameters affecting microalgal harvesting. Finally, experimental validation of microalgae harvesting confirmed the model's accuracy, with results falling within a 5 % error margin of the predicted values. These insights obtained through machine learning analysis can facilitate the development of high-throughput experimental designs, which can significantly enhance the harvesting efficiency of microalgae.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"87 ","pages":"Article 103985"},"PeriodicalIF":4.6,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}