ACS Central Science最新文献

The Chemist Who Stayed in Gaza 留在加沙的化学家

IF 18.2 1区化学

ACS Central Science Pub Date : 2024-09-12 DOI: 10.1021/acscentsci.4c01418

Laurel Oldach

引用次数: 0

Fantastic Frustrated Materials–and Where to Find Them 神奇的受挫材料--从哪里可以找到它们？

IF 18.2 1区化学

ACS Central Science Pub Date : 2024-09-12 DOI: 10.1021/acscentsci.4c01409

Christopher R. Wiebe

引用次数: 0

Bioinspired, Carbohydrate-Containing Polymers Efficiently and Reversibly Sequester Heavy Metals 受生物启发的含碳水化合物聚合物可高效、可逆地封存重金属

IF 18.2 1区化学

ACS Central Science Pub Date : 2024-09-11 DOI: 10.1021/acscentsci.4c01010

Sungjin Jeon, Teron Haynie, Samuel Chung, Cassandra E. Callmann

{"title":"Bioinspired, Carbohydrate-Containing Polymers Efficiently and Reversibly Sequester Heavy Metals","authors":"Sungjin Jeon, Teron Haynie, Samuel Chung, Cassandra E. Callmann","doi":"10.1021/acscentsci.4c01010","DOIUrl":"https://doi.org/10.1021/acscentsci.4c01010","url":null,"abstract":"Water scarcity and heavy metal pollution are significant challenges in today’s industrialized world. Conventional heavy metal remediation methods are often inefficient and energy-intensive, and produce chemical sludge. To address these issues, we developed a bioinspired, carbohydrate-containing polymer system for efficient and selective heavy metal removal. Using ring opening metathesis polymerization, we synthesized polymers bearing amphiphilic glucuronate side chains capable of selectively binding heavy metal cations in mixed media. In samples containing high concentrations of heavy metals (>550 ppb), these polymers rapidly form a filterable precipitate upon metal capture, reducing the concentration of cation to <1.5 ppb within 3 min, as measured by inductively coupled plasma mass spectrometry. This system effectively removes cadmium ions from highly contaminated solutions to levels below the Agency for Toxic Substances and Disease Registry limit for Cd2+ in drinking water and selectively removes both Cd2+ and Pb2+ from lake water spiked with trace amounts of metal. Acidification triggers protonation of the glucuronate groups, releasing the heavy metals and resolubilizing the polymer. This capture-and-release process can be repeated over multiple cycles without loss of binding capacity. As such, this study introduces a novel class of recyclable materials with pH-responsive properties, offering potential for applications in water remediation and beyond.","PeriodicalId":10,"journal":{"name":"ACS Central Science","volume":null,"pages":null},"PeriodicalIF":18.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142217918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bioinspired, Carbohydrate-Containing Polymers Efficiently and Reversibly Sequester Heavy Metals 受生物启发的含碳水化合物聚合物可高效、可逆地封存重金属

IF 12.7 1区化学

ACS Central Science Pub Date : 2024-09-11 DOI: 10.1021/acscentsci.4c0101010.1021/acscentsci.4c01010

Sungjin Jeon, Teron Haynie, Samuel Chung and Cassandra E. Callmann*,

{"title":"Bioinspired, Carbohydrate-Containing Polymers Efficiently and Reversibly Sequester Heavy Metals","authors":"Sungjin Jeon, Teron Haynie, Samuel Chung and Cassandra E. Callmann*, ","doi":"10.1021/acscentsci.4c0101010.1021/acscentsci.4c01010","DOIUrl":"https://doi.org/10.1021/acscentsci.4c01010https://doi.org/10.1021/acscentsci.4c01010","url":null,"abstract":"Water scarcity and heavy metal pollution are significant challenges in today’s industrialized world. Conventional heavy metal remediation methods are often inefficient and energy-intensive, and produce chemical sludge. To address these issues, we developed a bioinspired, carbohydrate-containing polymer system for efficient and selective heavy metal removal. Using ring opening metathesis polymerization, we synthesized polymers bearing amphiphilic glucuronate side chains capable of selectively binding heavy metal cations in mixed media. In samples containing high concentrations of heavy metals (>550 ppb), these polymers rapidly form a filterable precipitate upon metal capture, reducing the concentration of cation to <1.5 ppb within 3 min, as measured by inductively coupled plasma mass spectrometry. This system effectively removes cadmium ions from highly contaminated solutions to levels below the Agency for Toxic Substances and Disease Registry limit for Cd2+ in drinking water and selectively removes both Cd2+ and Pb2+ from lake water spiked with trace amounts of metal. Acidification triggers protonation of the glucuronate groups, releasing the heavy metals and resolubilizing the polymer. This capture-and-release process can be repeated over multiple cycles without loss of binding capacity. As such, this study introduces a novel class of recyclable materials with pH-responsive properties, offering potential for applications in water remediation and beyond.A novel carbohydrate-based polymer removes heavy metals from water, forming a recyclable, pH-responsive precipitate. It is highly efficient, needs no carrier matrix, and holds promise for water remediation.","PeriodicalId":10,"journal":{"name":"ACS Central Science","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acscentsci.4c01010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142318209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discovering Classical Spin Liquids by Topological Search of High Symmetry Nets 通过拓扑搜索高对称性网络发现经典自旋液体

IF 18.2 1区化学

ACS Central Science Pub Date : 2024-09-11 DOI: 10.1021/acscentsci.4c01020

Joseph A. M. Paddison, Matthew J. Cliffe

{"title":"Discovering Classical Spin Liquids by Topological Search of High Symmetry Nets","authors":"Joseph A. M. Paddison, Matthew J. Cliffe","doi":"10.1021/acscentsci.4c01020","DOIUrl":"https://doi.org/10.1021/acscentsci.4c01020","url":null,"abstract":"Spin liquids are a paradigmatic example of a nontrivial state of matter. The search for new spin liquids is a key interdisciplinary challenge. Geometrical frustration─where the geometry of the net that the spins occupy precludes the generation of a simple ordered state─is a particularly fruitful way to generate these intrinsically disordered states. Prior focus has been on a handful of high symmetry nets. There are, however, many three-dimensional nets, each of which has the potential to form unique states. In this paper, we investigate the high symmetry nets─those which are both vertex- and edge-transitive─for the simplest possible interaction sets: nearest-neighbor couplings of antiferromagnetic Heisenberg and Ising spins. While the well-known crs (pyrochlore) net is the only nearest-neighbor Heisenberg antiferromagnet which does not order, we identify two new frustrated nets (lcx and thp) possessing finite temperature Heisenberg spin-liquid states with strongly suppressed magnetic ordering and noncollinear ground states. With Ising spins, we identify three new classical spin liquids that do not order down to T/J = 0.01. We highlight materials that contain these high symmetry nets, and which could, if substituted with appropriate magnetic ions, potentially host these unusual states. Our systematic survey will guide searches for novel magnetic phases.","PeriodicalId":10,"journal":{"name":"ACS Central Science","volume":null,"pages":null},"PeriodicalIF":18.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142217922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Conversation with Alba Álvarez-Martín 对话阿尔芭-阿尔瓦雷斯-马丁

IF 18.2 1区化学

ACS Central Science Pub Date : 2024-09-10 DOI: 10.1021/acscentsci.4c01408

Jonathan Feakins

引用次数: 0

A Conversation with Alba Álvarez-Martín 对话阿尔芭-阿尔瓦雷斯-马丁

IF 12.7 1区化学

ACS Central Science Pub Date : 2024-09-10 DOI: 10.1021/acscentsci.4c0140810.1021/acscentsci.4c01408

Jonathan Feakins,

引用次数: 0

Loss of Diphthamide Increases DNA Replication Stress in Mammalian Cells by Modulating the Translation of RRM1 失去双硫酰胺会通过调节 RRM1 的翻译增加哺乳动物细胞的 DNA 复制压力

IF 18.2 1区化学

ACS Central Science Pub Date : 2024-09-06 DOI: 10.1021/acscentsci.4c00967

Jiaqi Zhao, Byunghyun Ahn, Hening Lin

引用次数: 0

Pauli Exclusion by n→π* Interactions: Implications for Paleobiology n→π* 相互作用的保利排斥：对古生物学的影响

IF 18.2 1区化学

ACS Central Science Pub Date : 2024-09-04 DOI: 10.1021/acscentsci.4c00971

Jinyi Yang, Volga Kojasoy, Gerard J. Porter, Ronald T. Raines

引用次数: 0

Generative Deep Learning-Based Efficient Design of Organic Molecules with Tailored Properties 基于生成式深度学习的定制特性有机分子高效设计

IF 18.2 1区化学

ACS Central Science Pub Date : 2024-08-30 DOI: 10.1021/acscentsci.4c00656

Minhi Han, Joonyoung F. Joung, Minseok Jeong, Dong Hoon Choi, Sungnam Park

{"title":"Generative Deep Learning-Based Efficient Design of Organic Molecules with Tailored Properties","authors":"Minhi Han, Joonyoung F. Joung, Minseok Jeong, Dong Hoon Choi, Sungnam Park","doi":"10.1021/acscentsci.4c00656","DOIUrl":"https://doi.org/10.1021/acscentsci.4c00656","url":null,"abstract":"Innovative approaches to design molecules with tailored properties are required in various research areas. Deep learning methods can accelerate the discovery of new materials by leveraging molecular structure–property relationships. In this study, we successfully developed a generative deep learning (Gen-DL) model that was trained on a large experimental database (DBexp) including 71,424 molecule/solvent pairs and was able to design molecules with target properties in various solvents. The Gen-DL model can generate molecules with specified optical properties, such as electronic absorption/emission peak position and bandwidth, extinction coefficient, photoluminescence (PL) quantum yield, and PL lifetime. The Gen-DL model was shown to leverage the essential design principles of conjugation effects, Stokes shifts, and solvent effects when it generated molecules with target optical properties. Additionally, the Gen-DL model was demonstrated to generate practically useful molecules developed for real-world applications. Accordingly, the Gen-DL model can be a promising tool for the discovery and design of novel molecules with tailored properties in various research areas, such as organic photovoltaics (OPVs), organic light-emitting diodes (OLEDs), organic photodiodes (OPDs), bioimaging dyes, and so on.","PeriodicalId":10,"journal":{"name":"ACS Central Science","volume":null,"pages":null},"PeriodicalIF":18.2,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142217931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0