Pub Date : 2024-11-07DOI: 10.1016/j.biortech.2024.131782
Dong-Sheng Zhao , Yu-Ting Chen , Jia-Min Xu , Xiao-Li Liu , Yi-Cheng Xu , Peng Cao , Junliang Li , Shengqin Wang , Nan Li , Yong Li , Shu-Ming Li , Xiufeng Yan , Qiuying Pang , Hui-Xi Zou
The accumulation of the emerging pollutant salicylic acid (SA) in the environment has gained much attention. In this study, overexpression of the non-ribosomal peptide synthase (NRPS) gene, PtNRPS1 in the marine diatom Phaeodactylum tricornutum (PtNRPS1-OE) increased resistance to SA pollutants. It was assumed that the enhanced tolerance was due to the high binding affinity between recombinant PtNRPS1 (rNRPS1) and SA pollutants. Moreover, tandem mass spectrometry analysis determined the amino acids that participated in the covalently binding of SA. The removal efficiency of SA pollutants by PtNRPS1-OE cells was found to be markedly elevated. The mechanism underlying the removal of SA and 5-substituted SA (5-sSA) was proposed, following the co-localization analysis of rNRPS1 and SA. The purpose of this study was not about using PtNRPS1 as an enzyme to catalyze the synthesis of metabolite. Rather, it explored the possibility of using PtNRPS1 to remove pollutants, which further improves practical feasibility of microalgae-mediated bioremediation.
新出现的污染物水杨酸(SA)在环境中的积累已引起广泛关注。在这项研究中,海洋硅藻 Phaeodactylum tricornutum(PtNRPS1-OE)过表达非核糖体肽合成酶(NRPS)基因 PtNRPS1 增加了对 SA 污染物的耐受性。据推测,耐受性的增强是由于重组 PtNRPS1(rNRPS1)与 SA 污染物之间的高结合亲和力。此外,串联质谱分析确定了参与与 SA 共价结合的氨基酸。研究发现,PtNRPS1-OE 细胞对 SA 污染物的去除率明显提高。通过对 rNRPS1 和 SA 的共定位分析,提出了去除 SA 和 5-取代的 SA(5-sSA)的机制。本研究的目的不是利用 PtNRPS1 作为催化合成代谢物的酶。而是探索利用 PtNRPS1 去除污染物的可能性,从而进一步提高微藻介导的生物修复的实际可行性。
{"title":"Overexpression of PtNRPS1 enhances diatom-mediated bioremediation of salicylate pollution","authors":"Dong-Sheng Zhao , Yu-Ting Chen , Jia-Min Xu , Xiao-Li Liu , Yi-Cheng Xu , Peng Cao , Junliang Li , Shengqin Wang , Nan Li , Yong Li , Shu-Ming Li , Xiufeng Yan , Qiuying Pang , Hui-Xi Zou","doi":"10.1016/j.biortech.2024.131782","DOIUrl":"10.1016/j.biortech.2024.131782","url":null,"abstract":"<div><div>The accumulation of the emerging pollutant salicylic acid (SA) in the environment has gained much attention. In this study, overexpression of the non-ribosomal peptide synthase (NRPS) gene, <em>PtNRPS1</em> in the marine diatom <em>Phaeodactylum tricornutum</em> (PtNRPS1-OE) increased resistance to SA pollutants. It was assumed that the enhanced tolerance was due to the high binding affinity between recombinant PtNRPS1 (rNRPS1) and SA pollutants. Moreover, tandem mass spectrometry analysis determined the amino acids that participated in the covalently binding of SA. The removal efficiency of SA pollutants by PtNRPS1-OE cells was found to be markedly elevated. The mechanism underlying the removal of SA and 5-substituted SA (5-sSA) was proposed, following the co-localization analysis of rNRPS1 and SA. The purpose of this study was not about using PtNRPS1 as an enzyme to catalyze the synthesis of metabolite. Rather, it explored the possibility of using PtNRPS1 to remove pollutants, which further improves practical feasibility of microalgae-mediated bioremediation.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131782"},"PeriodicalIF":9.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142610781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Although thermal hydrolysis pretreatment enhances disposal efficiency of sludge, it inevitably leads to melanoidins formation, which will negatively impact the subsequent wastewater treatment processes. However, their effect on the dewaterability of thermal hydrolyzed sludge (THS) remains poorly understood. This study aimed to uncover the underlying mechanisms of how melanoidins affecting dewaterability of THS. Using resin-adsorption method to reduce melanoidins content by 50% led to 21% and 6% decreases in capillary suction time and specific resistance to filtration, respectively, and a 14% increase in sludge cake solid content. Conversely, accumulating melanoidins to 200% worsened THS dewaterability, altering surface morphology and reducing floc stability, which increased the content of bound water by 9%. Additionally, a higher melanoidins level increased the hydrophilic components in extracellular polymeric substances while reducing hydrophobic sites and structures. These findings indicate that melanoidins impair THS dewaterability by altering flocs spatial properties and increasing hydrophilic structures and components.
{"title":"Mechanistic insights into melanoidins-induced hydrophilicity of thermal hydrolyzed sludge and its impact on dewaterability","authors":"Qian Zhang, Junyue Xu, Jiamian Wang, Liwei Wang, Nan Wang, Xinran Liu, Jiuxiao Hao","doi":"10.1016/j.biortech.2024.131766","DOIUrl":"10.1016/j.biortech.2024.131766","url":null,"abstract":"<div><div>Although thermal hydrolysis pretreatment enhances disposal efficiency of sludge, it inevitably leads to melanoidins formation, which will negatively impact the subsequent wastewater treatment processes. However, their effect on the dewaterability of thermal hydrolyzed sludge (THS) remains poorly understood. This study aimed to uncover the underlying mechanisms of how melanoidins affecting dewaterability of THS. Using resin-adsorption method to reduce melanoidins content by 50% led to 21% and 6% decreases in capillary suction time and specific resistance to filtration, respectively, and a 14% increase in sludge cake solid content. Conversely, accumulating melanoidins to 200% worsened THS dewaterability, altering surface morphology and reducing floc stability, which increased the content of bound water by 9%. Additionally, a higher melanoidins level increased the hydrophilic components in extracellular polymeric substances while reducing hydrophobic sites and structures. These findings indicate that melanoidins impair THS dewaterability by altering flocs spatial properties and increasing hydrophilic structures and components.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131766"},"PeriodicalIF":9.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142602278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1016/j.biortech.2024.131774
Derong Lin , Hongjin Ning , Ya Liu , Wen Qin , Jianhua Liu , Douglas A. Loy
This study investigated the conversion of okara insoluble dietary fiber (IDF) to soluble dietary fiber (SDF) using high-pressure homogenization (HPH) combined with microbial fermentation. The conversion mechanism was analyzed from four aspects: correlation, proteomics, component and structure under. Results indicated a negative correlation between pH and SDF yield (r = -0.9885, p < 0.05), while cellulase and xylanase showed a positive correlation with SDF yield (p < 0.05). Proteomic analysis identified 22 key enzymes involved in IDF degradation. According to the composition and structure, the combined treatment effectively reduced the aggregation of IDF, promoting its transformation into SDF. HPH treatment primarily acted on the hemicellulose fractions in the amorphous region, while microbial fermentation broke hydrogen bonds between hydroxyl groups in the crystalline regions of cellulose, enhancing the conversion of more exposed cellulose. This study provided theoretical support for the development and utilization of okara IDF.
{"title":"Mechanism of promoting okara insoluble to soluble dietary fiber by high-pressure homogenization-microbial fermentation","authors":"Derong Lin , Hongjin Ning , Ya Liu , Wen Qin , Jianhua Liu , Douglas A. Loy","doi":"10.1016/j.biortech.2024.131774","DOIUrl":"10.1016/j.biortech.2024.131774","url":null,"abstract":"<div><div>This study investigated the conversion of okara insoluble dietary fiber (IDF) to soluble dietary fiber (SDF) using high-pressure homogenization (HPH) combined with microbial fermentation. The conversion mechanism was analyzed from four aspects: correlation, proteomics, component and structure under. Results indicated a negative correlation between pH and SDF yield (r = -0.9885, <em>p</em> < 0.05), while cellulase and xylanase showed a positive correlation with SDF yield (<em>p</em> < 0.05). Proteomic analysis identified 22 key enzymes involved in IDF degradation. According to the composition and structure, the combined treatment effectively reduced the aggregation of IDF, promoting its transformation into SDF. HPH treatment primarily acted on the hemicellulose fractions in the amorphous region, while microbial fermentation broke hydrogen bonds between hydroxyl groups in the crystalline regions of cellulose, enhancing the conversion of more exposed cellulose. This study provided theoretical support for the development and utilization of okara IDF.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131774"},"PeriodicalIF":9.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142610777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1016/j.biortech.2024.131728
Huankai Li, Leijian Chen, Feng Zhang, Zongwei Cai
A graph learning [Binarized Attributed Network Embedding (BANE)] model enhances the single-target and multi-target prediction performances of random forest and eXtreme Gradient Boosting (XGBoost) by learning complex interrelationships between cultivation parameters of Porphyridium. The BANE-XGBoost has the best prediction performance (train R2 > 0.96 and test R2 > 0.87). Based on Shapley Additive Explanation (SHAP) model, illumination intensity, culture time, and KH2PO4 are the most critical factors for Porphyridium growth. The combined facilitating roles of cultivation parameters are found using the SHAP value-based heat map and group. To reach high biomass and daily production rate concurrently, one-way and two-way partial dependent plots models find the optimal conditions. The top 2 critical parameters (illumination intensity and KH2PO4) were selected to verify using the graphical user interface website based on the optimized model and lab experiments, respectively. This study shows the graph-learning-based model can improve prediction performance and optimize intricate low-carbon microalgal cultivation.
{"title":"Graph-learning-based machine learning improves prediction and cultivation of commercial-grade marine microalgae Porphyridium","authors":"Huankai Li, Leijian Chen, Feng Zhang, Zongwei Cai","doi":"10.1016/j.biortech.2024.131728","DOIUrl":"10.1016/j.biortech.2024.131728","url":null,"abstract":"<div><div>A graph learning [Binarized Attributed Network Embedding (BANE)] model enhances the single-target and multi-target prediction performances of random forest and eXtreme Gradient Boosting (XGBoost) by learning complex interrelationships between cultivation parameters of <em>Porphyridium</em>. The BANE-XGBoost has the best prediction performance (train R<sup>2</sup> > 0.96 and test R<sup>2</sup> > 0.87). Based on Shapley Additive Explanation (SHAP) model, illumination intensity, culture time, and KH<sub>2</sub>PO<sub>4</sub> are the most critical factors for <em>Porphyridium</em> growth. The combined facilitating roles of cultivation parameters are found using the SHAP value-based heat map and group. To reach high biomass and daily production rate concurrently, one-way and two-way partial dependent plots models find the optimal conditions. The top 2 critical parameters (illumination intensity and KH<sub>2</sub>PO<sub>4</sub>) were selected to verify using the graphical user interface website based on the optimized model and lab experiments, respectively. This study shows the<!--> <!-->graph-learning-based model can improve prediction performance and optimize intricate low-carbon microalgal cultivation.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131728"},"PeriodicalIF":9.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142610772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1016/j.biortech.2024.131751
Qiang Li , Wenxia Yuan , Xiujuan Deng , Yaping Chen , Limei Li , Lijiao Chen , Raoqiong Che , Wei Huang , Yamin Wu , Chun Wang , Zejun Wang , Miao Zhou , Zongpei Fan , Baijuan Wang
In this study, we successfully generated the mutant strain Bacillus tropicus AT31-1 from AT31 through atmospheric room-temperature plasma mutagenesis. This mutant strain AT31-1 demonstrated an impressive 48.6 % removal efficiency in 400 mg/L lead medium. Comparative genomic analysis showed that the mutant strain AT31-1 had three mutation sites, which affect the efflux RND transporter permease subunit, the response regulator transcription factor, and a gene with unknown function. The transcriptional analysis showed a notable upregulation in the expression of 283 genes in AT31-1 as lead concentrations increased from 0 to 200 mg/L and then to 400 mg/L, which include zinc-transporting ATPase, ferrous iron transport protein B, NADH dehydrogenase, and others. The Gene ontology function of the peptide metabolic process, along with the KEGG pathway of carbon metabolism were identified as closely linked to the extreme lead tolerance of AT31-1. This study presents novel insights into the lead tolerance mechanisms of bacteria.
{"title":"High lead-tolerant mutant Bacillus tropicus AT31-1 from rhizosphere soil of Pu-erh and its remediation mechanism","authors":"Qiang Li , Wenxia Yuan , Xiujuan Deng , Yaping Chen , Limei Li , Lijiao Chen , Raoqiong Che , Wei Huang , Yamin Wu , Chun Wang , Zejun Wang , Miao Zhou , Zongpei Fan , Baijuan Wang","doi":"10.1016/j.biortech.2024.131751","DOIUrl":"10.1016/j.biortech.2024.131751","url":null,"abstract":"<div><div>In this study, we successfully generated the mutant strain <em>Bacillus tropicus</em> AT31-1 from AT31 through atmospheric room-temperature plasma mutagenesis. This mutant strain AT31-1 demonstrated an impressive 48.6 % removal efficiency in 400 mg/L lead medium. Comparative genomic analysis showed that the mutant strain AT31-1 had three mutation sites, which affect the efflux RND transporter permease subunit, the response regulator transcription factor, and a gene with unknown function. The transcriptional analysis showed a notable upregulation in the expression of 283 genes in AT31-1 as lead concentrations increased from 0 to 200 mg/L and then to 400 mg/L, which include zinc-transporting ATPase, ferrous iron transport protein B, NADH dehydrogenase, and others. The Gene ontology function of the peptide metabolic process, along with the KEGG pathway of carbon metabolism were identified as closely linked to the extreme lead tolerance of AT31-1. This study presents novel insights into the lead tolerance mechanisms of bacteria.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131751"},"PeriodicalIF":9.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142610774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Photosensitization of extracellular polymeric substances (EPS) in aqueous environments is significant for pollutants degradation, but the synergistic effects in intimately coupled photocatalysis and biodegradation (ICPB) remain unknown. In this study, the pivotal role of EPS photosensitization in the degradation of 17β-estradiol 3-sulfate (E2-3S) was investigated in ICPB. Protein and polysaccharide contents in loosely bound EPS (LB-EPS) and tightly bound EPS (TB-EPS) increased by 16.6, 9.15 and 9.2, 2.2 times compared with R1 (biofilm with light without photocatalyst) and R2 (biofilm with photocatalyst without light), respectively. During irradiation tests, more reactive species were generated in LB-EPS, and achieving 99.8 % degradation efficiency of E2-3S; tryptophan-like protein in EPS firstly to be converted, while the tyrosine-like protein underwent greater conversion; furthermore, hydrophilic molecules with O/C < 0.45 in EPS decreased and unsaturated molecules with H/C = 0.7–1.5 and O/C = 0–0.1 increased. This study reveals the photosensitization reaction of EPS in ICPB, which provides new insights for pollutants degradation.
{"title":"Photochemical behavior of extracellular polymeric substances in intimately coupled TiO2 photocatalysis and biodegradation system","authors":"Xiangwei Ding , Qingmiao Yu , Hongpu Xue , Wei Zhang , Hongqiang Ren , Jinju Geng","doi":"10.1016/j.biortech.2024.131752","DOIUrl":"10.1016/j.biortech.2024.131752","url":null,"abstract":"<div><div>Photosensitization of extracellular polymeric substances (EPS) in aqueous environments is significant for pollutants degradation, but the synergistic effects in intimately coupled photocatalysis and biodegradation (ICPB) remain unknown. In this study, the pivotal role of EPS photosensitization in the degradation of 17β-estradiol 3-sulfate (E2-3S) was investigated in ICPB. Protein and polysaccharide contents in loosely bound EPS (LB-EPS) and tightly bound EPS (TB-EPS) increased by 16.6, 9.15 and 9.2, 2.2 times compared with R1 (biofilm with light without photocatalyst) and R2 (biofilm with photocatalyst without light), respectively. During irradiation tests, more reactive species were generated in LB-EPS, and achieving 99.8 % degradation efficiency of E2-3S; tryptophan-like protein in EPS firstly to be converted, while the tyrosine-like protein underwent greater conversion; furthermore, hydrophilic molecules with O/C < 0.45 in EPS decreased and unsaturated molecules with H/C = 0.7–1.5 and O/C = 0–0.1 increased. This study reveals the photosensitization reaction of EPS in ICPB, which provides new insights for pollutants degradation.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131752"},"PeriodicalIF":9.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142602343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-06DOI: 10.1016/j.biortech.2024.131759
Yu Zhou , Jinxu Zhang , Yunxin Zheng , Wei Lin , Shengping You , Mengfan Wang , Rongxin Su , Wei Qi
The high crystallinity (30 %–50 %) of discarded polyester textile waste limits the industrialization of its clean enzymatic depolymerization. In this study, a simple process based on ball milling pretreatment was developed to achieve effective enzymatic hydrolysis of high-crystalline polyester fiber. Ball milling was selected for its short, mild, and chemical-free process, which achieved a remarkable 23.8-fold (60.9 %) increase in terephthalic acid (TPA) yield from waste polyethylene terephthalate (PET) degradation, along with high TPA purity in the released soluble compounds. Just 30 min of ball milling at room temperature induced polyester amorphization, resulting in polyester with 12 % lower crystallinity compared with untreated polyester (51 %), while simultaneously increasing the surface roughness of polyester, thereby enhancing the efficiency of enzymatic hydrolysis. The simple process for effective enzymatic-depolymerization of waste polyester fiber developed in this study has potential industrial applications.
{"title":"Simple enzymatic depolymerization process based on rapid ball milling pretreatment for high-crystalline polyethylene terephthalate fibers","authors":"Yu Zhou , Jinxu Zhang , Yunxin Zheng , Wei Lin , Shengping You , Mengfan Wang , Rongxin Su , Wei Qi","doi":"10.1016/j.biortech.2024.131759","DOIUrl":"10.1016/j.biortech.2024.131759","url":null,"abstract":"<div><div>The high crystallinity (30 %–50 %) of discarded polyester textile waste limits the industrialization of its clean enzymatic depolymerization. In this study, a simple process based on ball milling pretreatment was developed to achieve effective enzymatic hydrolysis of high-crystalline polyester fiber. Ball milling was selected for its short, mild, and chemical-free process, which achieved a remarkable 23.8-fold (60.9 %) increase in terephthalic acid (TPA) yield from waste polyethylene terephthalate (PET) degradation, along with high TPA purity in the released soluble compounds. Just 30 min of ball milling at room temperature induced polyester amorphization, resulting in polyester with 12 % lower crystallinity compared with untreated polyester (51 %), while simultaneously increasing the surface roughness of polyester, thereby enhancing the efficiency of enzymatic hydrolysis. The simple process for effective enzymatic-depolymerization of waste polyester fiber developed in this study has potential industrial applications.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131759"},"PeriodicalIF":9.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142602353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-06DOI: 10.1016/j.biortech.2024.131757
Chunli Yu , Rui Xu , Shengxi Shao , Wenguang Zhou
Microalgae-based carbon capture and utilization (CCU) offers a promising negative emission technology that absorbs CO2 and generates valuable biomass. However, heavy metal pollutants in industrial flue gases can compromise carbon sequestration efficiency and bioproduct quality. Spirulina was investigated as a model organism for CO2 sequestration, using a modified Zarrouk’s medium to integrate salt stress and an osmoprotectant to boost biomass yield under 15 % CO2. This approach enhances both biomass yield (380.83 mg L–1 d–1)and resistance to lead toxicity. Analytical assessments revealed that glycine betaine (GB) supplementation drastically reduced lead accumulation, decreasing the extracellular and intracellular contents by 39.7 % and 60.7 %, respectively. A notable decrease in extracellular dissolved organic matter was also observed. Furthermore, transcriptomic analyses confirmed that GB treatment strengthened osmotic stress responses and suppressed metal ion transport. These findings enhanced the feasibility of microalgae-based CCU technologies, marking significant progress in sustainable algal biotechnology.
基于微藻的碳捕集与利用(CCU)提供了一种前景广阔的负排放技术,它可以吸收二氧化碳并产生有价值的生物质。然而,工业烟气中的重金属污染物会影响固碳效率和生物产品质量。研究人员将螺旋藻作为二氧化碳封存的模式生物,使用改良的扎鲁克培养基,结合盐胁迫和渗透保护剂,以提高 15% CO2 条件下的生物量产量。这种方法既提高了生物量产量(380.83 mg L-1 d-1),又增强了对铅毒性的抗性。分析评估显示,补充甘氨酸甜菜碱(GB)可大幅减少铅的积累,使细胞外和细胞内的铅含量分别降低了39.7%和60.7%。细胞外溶解有机物也明显减少。此外,转录组分析证实,GB 处理加强了渗透胁迫反应并抑制了金属离子的转运。这些发现提高了基于微藻的 CCU 技术的可行性,标志着可持续藻类生物技术取得了重大进展。
{"title":"Enhancing lead tolerance in spirulina using glycine betaine under high CO2 and salinity for sustainable carbon capture","authors":"Chunli Yu , Rui Xu , Shengxi Shao , Wenguang Zhou","doi":"10.1016/j.biortech.2024.131757","DOIUrl":"10.1016/j.biortech.2024.131757","url":null,"abstract":"<div><div>Microalgae-based carbon capture and utilization (CCU) offers a promising negative emission technology that absorbs CO<sub>2</sub> and generates valuable biomass. However, heavy metal pollutants in industrial flue gases can compromise carbon sequestration efficiency and bioproduct quality. Spirulina was investigated as a model organism for CO<sub>2</sub> sequestration, using a modified Zarrouk’s medium to integrate salt stress and an osmoprotectant to boost biomass yield under 15 % CO<sub>2</sub>. This approach enhances both biomass yield (380.83 mg L<sup>–1</sup> d<sup>–1</sup>)and resistance to lead toxicity. Analytical assessments revealed that glycine betaine (GB) supplementation drastically reduced lead accumulation, decreasing the extracellular and intracellular contents by 39.7 % and 60.7 %, respectively. A notable decrease in extracellular dissolved organic matter was also observed. Furthermore, transcriptomic analyses confirmed that GB treatment strengthened osmotic stress responses and suppressed metal ion transport. These findings enhanced the feasibility of microalgae-based CCU technologies, marking significant progress in sustainable algal biotechnology.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131757"},"PeriodicalIF":9.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142610770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-06DOI: 10.1016/j.biortech.2024.131764
Reibelle Q. Raguindin , Mahlet N. Gebresillase , Jimin Kang , Young-Woong Suh , Jeong Gil Seo
Furfural and acetone are two of the most promising chemicals derived from lignocellulosic biomass. Coupling these two compounds expands the broad range of value-added chemicals that can be derived from biomass. In this study, 1-octanol, a promising medium chain-length alcohol, was produced from furfural and acetone through a series of reactions: aldol condensation (R1), hydrogenation (R2), and hydrogenolysis (R3). Each step was individually investigated to understand its mechanism and requirements, enabling seamless integration into one-pot, two-step (R1, R2 + R3) and one-pot, three-step (R1 + R2 + R3) processes. To facilitate these reactions, bifunctional alumina–zirconia-based catalysts were synthesized. Additionally, to enhance the yield of 1-octanol, solid acidic additives, particularly sulfonic acid-functionalized silica (KCC-1-APSO3H), were incorporated into the reaction. The highest yield of 1-octanol (69.1 %) was achieved with the three-step process (R1, R2, R3), followed by the one-pot, two-step process (R1, R2 + R3, 64.8 %), and the one-pot, three-step process (R1 + R2 + R3, 48.7 %) using the combined Ni/Al2O3-ZrO2 and KCC-1-APSO3H catalyst. Among all the processes investigated, the one-pot, two-step process emerged as the best approach balancing the efficiency of the process integration and 1-octanol yield. The present study offers valuable insights into the development of catalytic methods for producing linear alcohols from biomass.
{"title":"One-pot sequential aldol condensation and hydrodeoxygenation of furfural and acetone to 1-octanol over multifunctional acid-based catalytic system","authors":"Reibelle Q. Raguindin , Mahlet N. Gebresillase , Jimin Kang , Young-Woong Suh , Jeong Gil Seo","doi":"10.1016/j.biortech.2024.131764","DOIUrl":"10.1016/j.biortech.2024.131764","url":null,"abstract":"<div><div>Furfural and acetone are two of the most promising chemicals derived from lignocellulosic biomass. Coupling these two compounds expands the broad range of value-added chemicals that can be derived from biomass. In this study, 1-octanol, a promising medium chain-length alcohol, was produced from furfural and acetone through a series of reactions: aldol condensation (R1), hydrogenation (R2), and hydrogenolysis (R3). Each step was individually investigated to understand its mechanism and requirements, enabling seamless integration into one-pot, two-step (R1, R2 + R3) and one-pot, three-step (R1 + R2 + R3) processes. To facilitate these reactions, bifunctional alumina–zirconia-based catalysts were synthesized. Additionally, to enhance the yield of 1-octanol, solid acidic additives, particularly sulfonic acid-functionalized silica (KCC-1-APSO<sub>3</sub>H), were incorporated into the reaction. The highest yield of 1-octanol (69.1 %) was achieved with the three-step process (R1, R2, R3), followed by the one-pot, two-step process (R1, R2 + R3, 64.8 %), and the one-pot, three-step process (R1 + R2 + R3, 48.7 %) using the combined Ni/Al<sub>2</sub>O<sub>3</sub>-ZrO<sub>2</sub> and KCC-1-APSO<sub>3</sub>H catalyst. Among all the processes investigated, the one-pot, two-step process emerged as the best approach balancing the efficiency of the process integration and 1-octanol yield. The present study offers valuable insights into the development of catalytic methods for producing linear alcohols from biomass.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131764"},"PeriodicalIF":9.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142610780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-06DOI: 10.1016/j.biortech.2024.131762
Yanyan Guo , Youcai Zhao , Zongsheng Li , Zhengyu Wang , Wenxiao Zhang , Kunsen Lin , Tao Zhou
Biogas yield in anaerobic digestion (AD) involves continuous and complex biological reactions. The traditional linear models failed to quantitatively assess the interactive effects of these factors on AD performance. To further explore the internal relationship between target variables and AD performance, this study developed four machine learning models to predict biogas yield and consider the interaction among various factors. Results indicated that the highest prediction accuracy of AD performance was achieved by adding bacterial genera dataset with environmental factors. Random forest model exhibited the highest accuracy, with the testing coefficient of determination equal to 0.9879. Among two types of input features, the bacterial genera accounted for 89.9 % of the impact on biogas yield, followed by environmental factors. The results revealed Keratinibaculum and Acetomicrobium as critical bacteria. The volatile fatty acid controlled below 2000 mg/L and the improved stirring system in AD process were recommended to achieve maximum biogas yield.
{"title":"Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning models","authors":"Yanyan Guo , Youcai Zhao , Zongsheng Li , Zhengyu Wang , Wenxiao Zhang , Kunsen Lin , Tao Zhou","doi":"10.1016/j.biortech.2024.131762","DOIUrl":"10.1016/j.biortech.2024.131762","url":null,"abstract":"<div><div>Biogas yield in anaerobic digestion (AD) involves continuous and complex biological reactions. The traditional linear models failed to quantitatively assess the interactive effects of these factors on AD performance. To further explore the internal relationship between target variables and AD performance, this study developed four machine learning models to predict biogas yield and consider the interaction among various factors. Results indicated that the highest prediction accuracy of AD performance was achieved by adding bacterial genera dataset with environmental factors. Random forest model exhibited the highest accuracy, with the testing coefficient of determination equal to 0.9879. Among two types of input features, the bacterial genera accounted for 89.9 % of the impact on biogas yield, followed by environmental factors. The results revealed <em>Keratinibaculum</em> and <em>Acetomicrobium</em> as critical bacteria. The volatile fatty acid controlled below 2000 mg/L and the improved stirring system in AD process were recommended to achieve maximum biogas yield.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131762"},"PeriodicalIF":9.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142610771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}