Yang Yang, Tao Ouyang, Dachen Tao, Boshi Xu, Jun Li, Jian Huang, Liang Zhang, Dingding Ye, Rong Chen, Xun Zhu, Qiang Liao
{"title":"Improving mass transfer with surface patterning of the porous transport layer for PEM water electrolysis","authors":"Yang Yang, Tao Ouyang, Dachen Tao, Boshi Xu, Jun Li, Jian Huang, Liang Zhang, Dingding Ye, Rong Chen, Xun Zhu, Qiang Liao","doi":"10.1016/j.xcrp.2025.102433","DOIUrl":"https://doi.org/10.1016/j.xcrp.2025.102433","url":null,"abstract":"<h2>Summary</h2> Proton exchange membrane (PEM) water electrolyzers suffer from mass transfer limitations under high current densities. To reduce the mass transfer losses, we develop a surface patterning strategy to treat the titanium felt by laser processing and polytetrafluoroethylene hydrophobic treatment. It achieves a voltage of ∼2.28 V at 5 A/cm<sup>2</sup>, reducing mass transfer losses by approximately 85.4%. Both the visualization characterization and numerical simulation results indicate that the surface patterning titanium felt has sufficient bubble detachment sites, possessing a minimum average bubble diameter of 192 μm and robust bubble dynamics. The surface patterning structure efficiently restricts the bubbles' growth and accelerates their removal, thereby achieving an efficient separate pathway for gaseous oxygen and liquid water transport. These insights not only shed light on the fundamentals of porous transport layer wettability and bubble dynamics but also provide design guidelines for porous media to enable low overpotentials of mass transportation.","PeriodicalId":9703,"journal":{"name":"Cell Reports Physical Science","volume":"6 2","pages":"102433-102433"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147897892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuting Xie, Hongyan Zhang, Partha Maity, Jinchen Qian, Gaopeng Xu, Hao Wang, Ting Chen, Kun Zhou, Hanlin Hu, Qingquan He, Jing Li, Yongwu Peng, Omar F. Mohammed, Jun Pan
{"title":"Synergistic stabilization of perovskite quantum dots via in situ encapsulation in a thiomethyl-functionalized covalent organic framework","authors":"Yuting Xie, Hongyan Zhang, Partha Maity, Jinchen Qian, Gaopeng Xu, Hao Wang, Ting Chen, Kun Zhou, Hanlin Hu, Qingquan He, Jing Li, Yongwu Peng, Omar F. Mohammed, Jun Pan","doi":"10.1016/j.xcrp.2024.102398","DOIUrl":"https://doi.org/10.1016/j.xcrp.2024.102398","url":null,"abstract":"<h2>Summary</h2> Encapsulating perovskite nanocrystals within porous materials, particularly covalent organic frameworks (COFs), has emerged as a viable strategy for improving their resistance to water and light-induced degradation. However, previous studies have uncovered challenges arising from the intricate post-modification processes required for incorporating functional sites, which restricted the confinement growth of perovskite nanocrystals within COF pores. Herein, we synthesize a novel thiomethyl-functionalized COF (S-COF) by reacting 2,5-bis(3-(methylthio)propyloxy) terephthalate hydrazine (S-BMTH) with benzaldehyde,4,4′,4\"-(1,3,5-triazine-2,4,6-triyl)tris- (TFPT). Subsequently, a highly stable composite, MAPbBr<sub>3</sub>@S-COF, is prepared by <i>in situ</i> growth of strongly confined MAPbBr<sub>3</sub> quantum dots (QDs) inside the S-COF pores. Interestingly, this composite demonstrates exceptional water stability for more than 1 year, attributed to the synergistic protection provided by the S-COF and Pb(OH)Br, which shield the QDs from degradation.","PeriodicalId":9703,"journal":{"name":"Cell Reports Physical Science","volume":"6 2","pages":"102398-102398"},"PeriodicalIF":0.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147883968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Changge Guan, Fabiano C Fernandes, Octavio L Franco, Cesar de la Fuente-Nunez
{"title":"Leveraging large language models for peptide antibiotic design.","authors":"Changge Guan, Fabiano C Fernandes, Octavio L Franco, Cesar de la Fuente-Nunez","doi":"10.1016/j.xcrp.2024.102359","DOIUrl":"10.1016/j.xcrp.2024.102359","url":null,"abstract":"<p><p>Large language models (LLMs) have significantly impacted various domains of our society, including recent applications in complex fields such as biology and chemistry. These models, built on sophisticated neural network architectures and trained on extensive datasets, are powerful tools for designing, optimizing, and generating molecules. This review explores the role of LLMs in discovering and designing antibiotics, focusing on peptide molecules. We highlight advancements in drug design and outline the challenges of applying LLMs in these areas.</p>","PeriodicalId":9703,"journal":{"name":"Cell Reports Physical Science","volume":"6 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11823563/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143413579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Linlin Shi, Siyu Hao, Jun Li, Lu Fan, Wenzhao Li, Tao Chen, Jiaming Shi, Pingjuan Yang, Yunru Yu, Shegan Gao
{"title":"Hydrogel-based hollow microfibers for functional esophageal carcinoma remodeling","authors":"Linlin Shi, Siyu Hao, Jun Li, Lu Fan, Wenzhao Li, Tao Chen, Jiaming Shi, Pingjuan Yang, Yunru Yu, Shegan Gao","doi":"10.1016/j.xcrp.2024.102358","DOIUrl":"https://doi.org/10.1016/j.xcrp.2024.102358","url":null,"abstract":"<h2>Summary</h2> A great challenge in esophageal squamous cell carcinoma (ESCC) research lies in the scarcity of a model that precisely replicates the tumor microenvironment, pathological conditions, and therapeutic responses. To address these limitations, we propose an innovative biomimetic esophageal cancer model utilizing tumor-cell-laden hollow microfibers fabricated through microfluidic spinning. This approach enables precise fluid manipulation within microchannels, facilitating versatile integration, diverse flow configurations, and rapid response times. On this basis, hydrogel microfibers were developed to possess adjustable shell thicknesses, offering a three-dimensional (3D), biocompatible, and porous matrix that supports sustained cell adhesion, proliferation, and spatial cellular interactions. This model elucidates the interaction between <i>Porphyromonas gingivalis</i> (Pg) and the malignant progression of ESCC. Overall, by enabling the co-culture of tumor stromal cells and ESCC cells, this study provides an innovative and promising platform for investigating the pathology of esophageal cancer, promoting drug discovery, and exploring other pertinent clinical applications for ESCC.","PeriodicalId":9703,"journal":{"name":"Cell Reports Physical Science","volume":"6 1","pages":"102358-102358"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147897624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A polymer nanocomposite for high-temperature energy storage with thermal stability","authors":"Peng-Zu Ge, Lili Li, Mengquan Jiang, Gaofeng Wang, Fei Wen, Xiaoyi Gao","doi":"10.1016/j.xcrp.2024.102361","DOIUrl":"https://doi.org/10.1016/j.xcrp.2024.102361","url":null,"abstract":"Publisher of over 50 scientific journals across the life, physical, earth, and health sciences, both independently and in partnership with scientific societies including Cell, Neuron, Immunity, Current Biology, AJHG, and the Trends Journals.","PeriodicalId":9703,"journal":{"name":"Cell Reports Physical Science","volume":"6 1","pages":"102361-102361"},"PeriodicalIF":0.0,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147922042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manuel Ceballos, Giulia Zampini, Oleg Semyonov, Samuel Funes-Hernando, José Manuel Vila-Fungueiriño, Sonia Martínez-Giménez, Sergio Tatay, Carlos Martí-Gastaldo, Thomas Devic, Beatriz Pelaz, Pablo Del Pino
{"title":"Ultrafast synthesis of zirconium-porphyrin framework nanocrystals from alkoxide precursors.","authors":"Manuel Ceballos, Giulia Zampini, Oleg Semyonov, Samuel Funes-Hernando, José Manuel Vila-Fungueiriño, Sonia Martínez-Giménez, Sergio Tatay, Carlos Martí-Gastaldo, Thomas Devic, Beatriz Pelaz, Pablo Del Pino","doi":"10.1016/j.xcrp.2024.102318","DOIUrl":"10.1016/j.xcrp.2024.102318","url":null,"abstract":"<p><p>Porphyrinic metal-organic frameworks (MOFs) offer high surface areas and tunable catalytic and optoelectronic properties, making them versatile candidates for applications in phototherapy, drug delivery, photocatalysis, electronics, and energy storage. However, a key challenge for industrial integration is the rapid, cost-effective production of suitable sizes. This study introduces Zr(IV) alkoxides as metal precursors, achieving ultrafast (∼minutes) and high-yield (>90%) synthesis of three well-known Zr-based porphyrinic MOF nanocrystals: MOF-525, PCN-224, and PCN-222, each with distinct topologies. By adjusting linker-to-metal and modulator-to-metal ratios, we attain precise control over single-phase formation. Demonstrating alkoxides' potential, we synthesized nanosized PCN-224 at room temperature within seconds using a continuous multifluidic method. This advancement greatly simplifies porphyrinic MOF production, enabling broader industrial and scientific applications.</p>","PeriodicalId":9703,"journal":{"name":"Cell Reports Physical Science","volume":"5 12","pages":"102318"},"PeriodicalIF":7.9,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11659387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142876220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shankar Pandey, Mathias Bogetoft Danielsen, Yuan Xiang, Zhilei Zhang, Grinsun Sharma, Byeong Tak Jeon, Shixi Song, Yitong Hao, Gunan Zhang, Niels Johan Christensen, Kasper Kildegaard Sørensen, Pernille Harris, Pravin Pokhrel, Richard Cunningham, Min-Ho Kim, Yongsheng Leng, Chenguang Lou, Hanbin Mao
{"title":"<i>De novo</i> design of a mechano-pharmaceutical screening platform against formation of individual beta-amyloid oligomers.","authors":"Shankar Pandey, Mathias Bogetoft Danielsen, Yuan Xiang, Zhilei Zhang, Grinsun Sharma, Byeong Tak Jeon, Shixi Song, Yitong Hao, Gunan Zhang, Niels Johan Christensen, Kasper Kildegaard Sørensen, Pernille Harris, Pravin Pokhrel, Richard Cunningham, Min-Ho Kim, Yongsheng Leng, Chenguang Lou, Hanbin Mao","doi":"10.1016/j.xcrp.2024.102336","DOIUrl":"10.1016/j.xcrp.2024.102336","url":null,"abstract":"<p><p>Small molecules that can reduce the neurotoxic beta-amyloid (Aβ) aggregates in the brain provide a potential treatment for Alzheimer disease (AD). Most screening methods for small-molecule hits focus on the overall Aβ aggregations without a specific target, such as the very first association step (i.e., nucleation) <i>en route</i> to the Aβ oligomers. Located in the middle of a full-length Aβ peptide, Aβ<sub>19-20</sub> (diphenylalanine or FF) nucleates the neurotoxic Aβ oligomer formation. Here, we innovate a single-molecule screen method in optical tweezers by targeting the nucleation process in Aβ aggregation, namely FF-dimerization. With a 121-compound National Institutes of Health (NIH) library, we identify 12 inhibitors and 8 stimulants that can inhibit/promote Aβ<sub>19-20</sub> dimerization significantly. The representative hits are subjected to the thioflavin T and cell toxicity assays to confirm their inhibiting or stimulating activities. By replacing FF with longer Aβ sequences, our single-molecule platform may identify more specific and potent small molecules to fight AD.</p>","PeriodicalId":9703,"journal":{"name":"Cell Reports Physical Science","volume":"5 12","pages":""},"PeriodicalIF":7.9,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11905928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cyanobacteria-intelligent biohybrid system enables light-guided tumor-associated macrophage-specific siRNA delivery","authors":"Denghui Zhu, Jian Ren, Zhaozhen Li, Ai-Qing Ma, Ruiqing Qin, Shida Chen, Quan Fang, Feng Xin, Ruijing Liang, Lanlan Liu, Lintao Cai","doi":"10.1016/j.xcrp.2024.102301","DOIUrl":"https://doi.org/10.1016/j.xcrp.2024.102301","url":null,"abstract":"<h2>Summary</h2> Tumor-associated macrophages (TAMs) play a critical role in tumor immune evasion and metastasis, but efficiently delivering nucleic acids to reprogram TAMs <i>in vivo</i> remains a challenge. Here, we develop a biohybrid system (CTPA/siCSF1R) specifically targeting TAMs, aiming to conduct spatiotemporal manipulation of precise small interfering RNA (siRNA) delivery. The inherent self-driven and phototactic abilities of cyanobacterium <i>Synechocystis</i> sp. PCC6803 (cyan) facilitate the targeted accumulation of CTPA/siCSF1R within TAMs, guided by a 660 nm laser. The light-guided reactive oxygen species production by cyan and the protonation of the triblock polyamino acid gene vector contribute to the remarkable \"lysosome escape\" capability of siRNA, thereby promoting TAM repolarization to the M1 phenotype. Furthermore, photosynthetic oxygen produced from cyan in conjunction with TAM-specific genetic reprogramming induces an effective immune response to inhibit tumor growth. This light-guided biohybrid system represents a promising strategy for the development of efficient and safe nucleic acid delivery vectors and tumor photoimmunotherapy.","PeriodicalId":9703,"journal":{"name":"Cell Reports Physical Science","volume":"5 12","pages":"102301-102301"},"PeriodicalIF":0.0,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147918495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}