Algal Research-Biomass Biofuels and Bioproducts最新文献

{"title":"Use of Palmaria palmata and Fucus vesiculosus hydrolysates for Yarrowia lipolytica biomass and erythritol production","authors":"Bruna Dias ,&nbsp;Marlene Lopes ,&nbsp;Isabel Belo","doi":"10.1016/j.algal.2026.104610","DOIUrl":"10.1016/j.algal.2026.104610","url":null,"abstract":"<div><div>The relatively low protein content of <em>Fucus vesiculosus</em> and <em>Palmaria palmata</em> compared to other seaweeds, combined with their high carbohydrate content, makes these seaweeds particularly suitable as biorefinery feedstocks. This study explored the two algae <em>F. vesiculosus</em> and <em>P. palmata</em> to obtain hydrolysates and use them as substrates for <em>Yarrowia lipolytica</em> NCYC 2904 cultivation in stirred-tank bioreactors. Hydrolysates from <em>F. vesiculosus</em> (FH), non-washed <em>P. palmata</em> (PH), and washed <em>P. palmata</em> (WPH) were obtained after hydrothermal pretreatment (121 °C, 30 min) followed by enzymatic hydrolysis (Cellic CTec3). <em>Y. lipolytica</em> efficiently assimilated different carbon sources from PH and WPH (glucose, xylose, and formic acid), and from FH (fucose, mannitol, glucuronic acid, and acetic acid). To date, the consumption of fucose and glucuronic acid by <em>Y. lipolytica</em> has not been described. The yeast consumed high amounts of xylose (60 g·L⁻¹) and produced erythritol from PH and WPH, a feature not previously reported. The highest erythritol concentration (40 g·L⁻¹) and protein content in yeast biomass (29%, w/w, dry basis) were obtained in PH cultures, while the highest cellular lipids accumulation (15%, w/w, dry basis) was attained using WPH. Lipids produced under all conditions were enriched in mono- (71%–78%) and polyunsaturated (20%–22%) fatty acids, while the yeast biomass from PH, WPH, and FH exhibited a well-balanced amino acid profile, including essential amino acids. These findings have significant implications for the development of sustainable blue biorefineries based on <em>Y. lipolytica</em> as a microbial platform for valorizing seaweed biomass into bioproducts, such as protein-rich yeast biomass (approved for human consumption), lipids, and erythritol, supporting sustainable food and feed applications.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"95 ","pages":"Article 104610"},"PeriodicalIF":4.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386482","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":"The roles of transposable elements and gene family dynamics in shaping diversity and evolution in diatoms","authors":"Tianze Zheng ,&nbsp;Xu Zhang ,&nbsp;Tianren Liu ,&nbsp;Xinzhu Liu ,&nbsp;Chris Bowler ,&nbsp;Xin Lin","doi":"10.1016/j.algal.2026.104605","DOIUrl":"10.1016/j.algal.2026.104605","url":null,"abstract":"<div><div>Diatoms are key players in aquatic ecosystems, having evolved through secondary endosymbiosis. Using long-read sequencing, we investigated how transposable elements (TEs) and gene family dynamics have shaped diatom diversification from inter-lineage to intra-species scales. Across diatom lineages, we identified ecological adaptation-linked expansions, including polyamine synthesis genes for silicification and glutathione S-transferases for oxidative stress resistance. Centric diatoms showed lineage-specific expansion of flotation-associated microtubule genes, while pennate diatoms expanded motility-related actin and myosin genes. At the intra-species level, distinct <em>Phaeodactylum tricornutum</em> strains revealed genomic adaptations correlated with their unique features, including strain-specific expansion and contraction in the cruciform strain's morphological genes and the Baltic Sea isolate's amine metabolism genes. Our estimates of major lineage divergence times in diatoms (∼202 Myr and ∼ 173 Myr) were highly consistent with the two deep whole-genome duplication (WGD) events (∼200 Myr and ∼ 170 Myr). At these evolutionary nodes, gene families showed extensive lineage-specific expansions and contractions, likely linking ancient polyploidy to subsequent gene content evolution. Substantial TE expansions occurred more recently (0.5–5 Ma), with most diatoms showing recent bursts of Long Terminal Repeat Retrotransposons (LTR-RTs) and araphid pennate diatoms displaying more ancient TE insertion peaks. This likely reflects the progressive loss of ancient TE copies, leaving only recent TE insertions detectable. Our findings provide genomic evidence for the adaptive evolution of diatoms, highlighting the crucial roles of TEs and gene family dynamics in shaping their morphological diversity and environmental adaptations, and suggesting a potential connection between WGDs, gene family dynamics, and TE insertions in genome evolution.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"95 ","pages":"Article 104605"},"PeriodicalIF":4.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386543","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":"Artificial intelligence and microscopy: A systematic review of deep learning in microalgae and cyanobacteria species identification","authors":"Negar Taheriashtiani ,&nbsp;Zongyuan Ge ,&nbsp;Mehrtash Harandi ,&nbsp;Nicholas D. Crosbie ,&nbsp;Glenn B. McGregor ,&nbsp;Li Gao ,&nbsp;Chao Chen ,&nbsp;Linda Blackall ,&nbsp;Michael Burch ,&nbsp;Anna Lintern ,&nbsp;Arash Zamyadi","doi":"10.1016/j.algal.2026.104599","DOIUrl":"10.1016/j.algal.2026.104599","url":null,"abstract":"<div><div>Algal blooms are increasingly frequent and severe, threatening water quality, ecosystems, and public health. Accurate species-level identification is crucial for effective monitoring, yet conventional microscopy is slow, subjective and labour-intensive. Integration of deep learning with microscopy has recently emerged as a transformative solution. This systematic review synthesizes 62 studies that applied deep learning to microscopic images of microalgae and cyanobacteria, offering a comprehensive perspective that spans the entire workflow, from image acquisition and pre-processing to model architectures. A central contribution of this review is the structured synthesis of literature. Studies employing classification models are distinguished from those using detection models, and within each category, subgroups are identified and critically evaluated to clarify their strengths, limitations, and appropriate applications. The analysis shows that while classification models account for most studies overall, their dominance reflects earlier stages of the field. Recently, detection models have become more common and are emerging as preferred choice for addressing the complexity of real-world, multi-species images. Beyond synthesizing existing methods, this review identifies gaps in imaging techniques, dataset availability, and model development. It highlights ongoing challenges, including scarce annotated data and underexplored imaging and modelling approaches, while outlining promising future pathways such as semi-supervised learning, multimodal integration, and advanced detection and segmentation architectures. Finally, publicly available microalgae image datasets are introduced, whose integration with existing methodologies may enable more robust and universal identification models. By combining full workflow coverage, this study clarifies the state of the field and guides subsequent research in deep learning for algal monitoring.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"95 ","pages":"Article 104599"},"PeriodicalIF":4.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386336","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":"Analysis of autofluorescence using full-spectrum cytometry to discriminate and monitor microalgae and bacteria","authors":"Ayagoz Meirkhanova ,&nbsp;Sabina Marks ,&nbsp;Damir Ussibaliyev ,&nbsp;Aizada Bexeitova ,&nbsp;Stella A. Berger ,&nbsp;Michael Melkonian ,&nbsp;Ivan A. Vorobjev ,&nbsp;Natasha S. Barteneva","doi":"10.1016/j.algal.2026.104595","DOIUrl":"10.1016/j.algal.2026.104595","url":null,"abstract":"<div><div>The autofluorescence of algal pigments enables non-invasive, high-throughput characterization of microalgae at single-cell resolution. We applied full-spectrum cytometry, imaging flow cytometry, and cell sorting to analyze the spectral and morphological diversity among major microalgal groups and 102 Chlorophyta strains. The distinct spectral signatures from chlorophylls, carotenoids, and phycobiliproteins enabled clear separation of major pigment-defined algal groups, particularly those containing phycobiliproteins. Furthermore, principal component analysis of Volvocales (Chlorophyta) revealed three spectral clusters supported by corresponding differences in cell size and shape. Additionally, in <em>Gonium</em> cultures, we observed that spectral signatures in the yellow-green region were altered in the presence of bacteria, suggesting that interactions between the algal host and bacteria affect pigment-related fluorescence. Spectral heterogeneity observed within monocultures was linked to pigment accumulation, cell size, and morphological variability. These findings establish full-spectrum cytometry as a powerful method for profiling pigment composition, physiology, and structural diversity in microalgae, with broad applications in microbial ecology, environmental monitoring, and biotechnology.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"95 ","pages":"Article 104595"},"PeriodicalIF":4.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386338","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":"Impact of harvesting via flocculation on protein yield from Chlorella vulgaris following pulsed electric field and high-pressure homogenization treatments","authors":"Viviane de Carvalho Arabidian ,&nbsp;Alexander S.K. Müller ,&nbsp;Luiz Antonio de Almeida Pinto ,&nbsp;Débora Pez Jaeschke ,&nbsp;Tito Roberto Sant'Anna Cadaval Jr. ,&nbsp;Wolfgang Frey ,&nbsp;Christian Gusbeth","doi":"10.1016/j.algal.2026.104611","DOIUrl":"10.1016/j.algal.2026.104611","url":null,"abstract":"<div><div>The growing interest in sustainable biomass sources has encouraged research on microalgae, particularly focusing on improving the efficiency of cell separation and extraction processes. Currently, the harvesting step is primarily performed by centrifugation, which requires high energy consumption, especially for large-scale cultivation volumes. Therefore, this study aimed to explore coagulation/flocculation as an alternative harvesting method for <em>Chlorella vulgaris</em>, using FeCl₂, FeCl₃, and chitosan. Additionally, this study aimed to evaluate the effect of the different flocculants on subsequent protein extraction, comparing extraction yields obtained by pulsed electric field (PEF) and high-pressure homogenization (HPH) treatment for the first time. The results indicated that FeCl₃ had the highest flocculation efficiency, reaching over 99% with a lower dosage than the other flocculants (200 mg L⁻¹). Although FeCl₃ achieved the highest flocculation efficiency (over 99% at a low dosage of 200 mg·L⁻¹), the subsequent protein extraction yields were lower compared to centrifuged biomass. Protein recovery from FeCl₃-flocculated biomass reached only 9.22% of cell dry weight (CDW) with HPH and 0.5% of CDW with PEF, whereas centrifugation resulted in higher yields of 49.4% and 19.5% of CDW, respectively. These results indicate that while floc formation is effective for biomass harvesting, it may hinder protein extraction and reduce biomolecule recovery. Additionally, the protein profile analyzed by SDS-PAGE confirmed the negative impact of using flocculants, showing a disappearance or reduction of bands.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"95 ","pages":"Article 104611"},"PeriodicalIF":4.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386552","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":"Light–temperature–nutrient dependent Monod modeling of optimized Isochrysis galbana growth in a PV-integrated photobioreactor","authors":"M.S.N. Atikah ,&nbsp;Mohammad Effendy Ya'acob ,&nbsp;R.A. Ilyas ,&nbsp;Razif Harun","doi":"10.1016/j.algal.2026.104621","DOIUrl":"10.1016/j.algal.2026.104621","url":null,"abstract":"<div><div>A reliable growth-prediction model is essential for optimizing outdoor cultivation of <em>Isochrysis galbana</em>, particularly under rapidly changing light and temperature conditions induced by photovoltaic (PV) shading. In this study, an extended Monod-type kinetic model integrating the combined effects of light intensity, temperature, and nutrient (nitrate) availability, specifically designed for a PV-integrated photobioreactor (PBR), is developed and validated. A 19 experimental runs Central Composite Design (CCD) was employed to examine how PV–PBR spacing and LED supplementation influence biomass accumulation and specific growth rate. The experimental data highlighted clear interactions among light, temperature, and nutrient uptake. LED supplementation enhanced growth at sub-optimal PV–PBR distances, but its impact diminished as natural irradiance increased. The extended Monod model showed strong predictive capability, outperforming the classical model with lower RMSE and higher R² values. Parameter fitting showed that μ_max, <em>Ks</em>, and light-related coefficients responded sensitively to diurnal irradiance dynamics, reflecting the physiological behavior of <em>Isochrysis galbana</em> exposed to mixed natural–artificial illumination. Model validation across all CCD conditions further confirmed its robustness, with residuals indicating no systematic deviation. Overall, the multi-factor Monod framework developed here provides an accurate and scalable approach for predicting outdoor <em>Isochrysis galbana</em> growth in solar-integrated systems. These findings offer practical direction for refining PV–PBR layouts, boosting biomass productivity, and guiding future efforts to build dynamic, real-world microalgal cultivation models.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"95 ","pages":"Article 104621"},"PeriodicalIF":4.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386333","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":"Hydrocyclone pre-processing of wastewater algae: A strategy for inorganic ash separation","authors":"Rebecca M. Brown ,&nbsp;Bradley D. Wahlen ,&nbsp;Cody Steven ,&nbsp;Harry W. Rollins ,&nbsp;Peter J. Valdez","doi":"10.1016/j.algal.2026.104607","DOIUrl":"10.1016/j.algal.2026.104607","url":null,"abstract":"<div><div>Microalgae cultivation on wastewater can provide remediation and generate valuable feedstocks for biofuel production. Wastewater algae typically have a high percentage of inorganic ash, which can reduce yield and quality of biocrude produced during hydrothermal liquefaction (HTL). In this work, we evaluated the ability of hydrocyclone pre-processing to remove inorganic ash from wastewater algae. The pH of the algae slurry was adjusted to 9.5 to encourage the formation of precipitates and create a density differential between ash particles and algal cells. Hydrocyclone processing successfully concentrated ash particles in the underflow fraction and reduced the total ash percentage in the overflow fraction. Overall, hydrocyclone processing reduced the total ash by 21%, while only 8% of organics were lost. Elemental analysis showed that Mg and P were concentrated in the underflow and the presence of quartz, baricite, struvite, dittmarite, and calcite were confirmed with mineral analysis. Future research should focus on prioritizing crystal growth during precipitation, as well as improving Mg and P precipitation via the formation of baricite and/or vivianite and struvite and/or dittmarite. We concluded that hydrocyclone treatment of wastewater algae is a feasible method to remove inorganic ash, but further process optimization is required.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"95 ","pages":"Article 104607"},"PeriodicalIF":4.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386548","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":"Microalgae-enriched biscuit discrimination using image texture features and Artificial Intelligence (AI) algorithms","authors":"Ewa Ropelewska ,&nbsp;Etiele Greque de Morais ,&nbsp;Enrica Uggeti ,&nbsp;Diana Paguay ,&nbsp;Francisco Sepulcre ,&nbsp;Zein Kallas","doi":"10.1016/j.algal.2026.104627","DOIUrl":"10.1016/j.algal.2026.104627","url":null,"abstract":"<div><div>The aim of this study was to design a method for classifying biscuits enriched with various types and concentrations of <em>Chlorella</em> microalgae based on texture features extracted from digital images, using artificial intelligence techniques. The dataset included seven biscuit variants: a control sample without microalgae addition and biscuit samples containing White, Yellow, or Green <em>Chlorella vulgaris</em> at 2.5% and 5% addition levels. Images acquired with the rear camera of a mobile phone were analyzed using MaZda software, which enabled the extraction of 2172 texture descriptors across 12 color channels. A feature selection process identified the 70 most relevant parameters for classification. Both deep learning (Dl4jMlpClassifier) and traditional machine learning models (Random Forest, LogitBoost, Subspace Discriminant (Ensemble), WiSARD, Medium Gaussian SVM, and Wide Neural Network) were developed using WEKA and MATLAB environments. The highest classification correctness, reaching 97.86%, was obtained with the Subspace Discriminant algorithm. Biscuits enriched with Green <em>Chlorella</em> were most effectively distinguished, while the greatest confusion occurred between Yellow <em>Chlorella</em> samples at 2.5% and 5%. This study is the first to combine image texture analysis with AI-based modeling for the non-destructive discrimination of microalgae-enriched biscuits. The developed approach demonstrates a significant advancement in applying computer vision and machine learning for food quality control and could be implemented in practice as a rapid, objective tool for monitoring formulation differences in functional bakery products.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"95 ","pages":"Article 104627"},"PeriodicalIF":4.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386402","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":"The effects of irradiance, temperature, desiccation, and salinity on the photosynthesis of the freshwater red alga Nemalionopsis shawii (Thoreales) from Japan","authors":"Ryuta Terada ,&nbsp;Kotaro Makino ,&nbsp;Gregory N. Nishihara","doi":"10.1016/j.algal.2026.104584","DOIUrl":"10.1016/j.algal.2026.104584","url":null,"abstract":"<div><div>The effects of irradiance (including irradiance spectral quality), temperature, desiccation, and salinity on a Japanese population of freshwater red alga <em>Nemalionopsis shawii</em> were investigated using dissolved oxygen sensors and pulse-amplitude-modulated chlorophyll fluorometry to improve understanding of its conservation requirements. Oxygenic photosynthesis–irradiance curves determined at 20 °C under blue, green, and red light-emitting diodes (LEDs) showed that the maximum net photosynthetic rate was highest under green light, nearly equivalent to that observed under white light (metal halide lamp), and followed by red light. Temperature responses of the maximum (<em>F</em>_<em>v</em><em>/F</em>_<em>m</em>) and effective (<em>ΔF/F</em>_<em>m</em><em>'</em>) quantum yields after three days of culture across 4–40 °C under irradiances of 0 and 50 μmol photons m⁻² s⁻¹ (12 L:12D) peaked at 21.9 °C and 19.9 °C, respectively, and declined above 28 °C; <em>F</em>_<em>v</em><em>/F</em>_<em>m</em> was less sensitive to low temperatures. Combined irradiance (200, 500, and 1000 μmol photons m⁻² s⁻¹) and temperature (28, 16, and 4 °C) treatments revealed that <em>ΔF/F</em>_<em>m</em><em>'</em> decreased during light exposure across all temperatures but largely recovered after 12-h of dim light acclimation at 28 °C and 16 °C; no recovery occurred at 4 °C, indicating cold-induced photoinhibition. In the desiccation experiment (up to 8 h of aerial exposure, 20 °C, 45–50% humidity, and 20 μmol photons m⁻² s⁻¹), <em>ΔF/F</em>_<em>m</em><em>'</em> remained stable for 1-h but gradually decreased as relative water content fell below 50%, approaching zero after 8 h. In the one-week salinity experiment (0–10 psu, 20 °C, 20 μmol photons m⁻² s⁻¹, 12 L:12D), <em>ΔF/F</em>_<em>m</em><em>'</em> declined progressively above 6 psu, indicating low tolerance to brackish conditions. These findings provide important insights into the conservation and habitat management of <em>N. shawii</em>, emphasizing optimal light and temperature conditions and the avoidance of desiccation and salinity stress.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"95 ","pages":"Article 104584"},"PeriodicalIF":4.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386403","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":"High-productivity hydrogen production via bioaugmentation of exogenous Clostridium species using a red algal biomass (Eucheuma spinosum)","authors":"Young-Bo Sim ,&nbsp;Do-Yeon Kim ,&nbsp;Hee-Won Cho ,&nbsp;Sang-Hyoun Kim","doi":"10.1016/j.algal.2026.104625","DOIUrl":"10.1016/j.algal.2026.104625","url":null,"abstract":"<div><div>This study demonstrated the high-productivity hydrogen production via <em>Clostridium pasteurianum</em> bioaugmentation from algal biomass (<em>Eucheuma spinosum</em>) using a dynamic membrane bioreactor (DMBR). During the algal biomass supplementation without bioaugmentation, bio-H₂ production rate (HPR) and bio-H₂ yield (HY) were significantly decreased from 59.4 ± 3.0 L H₂/L-d and 2.35 ± 0.14 mol H₂/mol hexose_consumed to 15.6 ± 2.8 L H₂/L-d and 0.73 ± 0.13 mol H₂/mol hexose_consumed, respectively. This result indicated that algal biomass contributed to the extracellular polymeric substances (EPS) composition from polysaccharide-EPS to protein-EPS, and shifted the metabolic flux from H₂-producing pathways toward H₂-consuming and non-H₂-producing pathways. On the other hand, fermenter deterioration was significantly mitigated during the algal biomass supplementation with bioaugmentation, achieving an HPR and HY of 33.3 ± 3.3 L H₂/L-d and 1.57 ± 0.15 mol H₂/mol hexose_consumed, respectively. This result demonstrated that the bioaugmentation not only significantly enhanced polysaccharide-EPS formation but also substantially suppressed propionate- and formate-producing pathway under algal biomass conditions. Furthermore, this study observed that the deteriorated fermenter could be effectively recovered by bioaugmentation along with the synthetic substrate supplementation, owing to enhanced polysaccharide-EPS formation and the suppression of competitors. This study would offer a promising strategy to achieve the high-productivity hydrogen production via <em>Clostridium pasteurianum</em> bioaugmentation using algal biomass. This outcome would provide practical implications for the design and operation of dark fermentative hydrogen production from a red algal biomass, and further optimization of bioaugmentation strategies targeting EPS composition and competitors may enable more robust and scalable bio-H₂ production from algal biomass.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"95 ","pages":"Article 104625"},"PeriodicalIF":4.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386397","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}