Journal of The Chinese Chemical Society最新文献

{"title":"Contents and Masthead: Journal of the Chinese Chemical Society 6/2025","authors":"","doi":"10.1002/jccs.70047","DOIUrl":"https://doi.org/10.1002/jccs.70047","url":null,"abstract":"","PeriodicalId":17262,"journal":{"name":"Journal of The Chinese Chemical Society","volume":"72 6","pages":"566-572"},"PeriodicalIF":1.6,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jccs.70047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cover: Journal of the Chinese Chemical Society 06/2025","authors":"","doi":"10.1002/jccs.70048","DOIUrl":"https://doi.org/10.1002/jccs.70048","url":null,"abstract":"<p><b>Focus of the figure:</b> The COVID-19 pandemic emphasized the need for rapid, reliable healthcare diagnostics. We developed a handheld reader–QMIA–to enable quantitative lateral flow immunoassays and validated its performance through daily hormone monitoring. QMIA offers a practical solution for at-home, point-of-care, and field-based antigen testing, with enhanced sensitivity and usability. More details about this figure will be discussed by Dr. Huan-Cheng Chang and his co-workers on pages 693–701 in this issue.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":17262,"journal":{"name":"Journal of The Chinese Chemical Society","volume":"72 6","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jccs.70048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preview: Journal of the Chinese Chemical Society 06/2025","authors":"","doi":"10.1002/jccs.70049","DOIUrl":"https://doi.org/10.1002/jccs.70049","url":null,"abstract":"","PeriodicalId":17262,"journal":{"name":"Journal of The Chinese Chemical Society","volume":"72 6","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jccs.70049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preview: Journal of the Chinese Chemical Society 05/2025","authors":"","doi":"10.1002/jccs.70037","DOIUrl":"https://doi.org/10.1002/jccs.70037","url":null,"abstract":"","PeriodicalId":17262,"journal":{"name":"Journal of The Chinese Chemical Society","volume":"72 5","pages":"564"},"PeriodicalIF":1.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jccs.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contents and Masthead: Journal of the Chinese Chemical Society 5/2025","authors":"","doi":"10.1002/jccs.70038","DOIUrl":"https://doi.org/10.1002/jccs.70038","url":null,"abstract":"","PeriodicalId":17262,"journal":{"name":"Journal of The Chinese Chemical Society","volume":"72 5","pages":"442-448"},"PeriodicalIF":1.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jccs.70038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cover: Journal of the Chinese Chemical Society 05/2025","authors":"","doi":"10.1002/jccs.70036","DOIUrl":"https://doi.org/10.1002/jccs.70036","url":null,"abstract":"<p><b>Focus of the figure:</b> Our study investigates the antibacterial properties of copper oxide (CuO) nanoparticles doped with zinc, titanium, and aluminum using the sol–gel method. Characterized by FESEM, FTIR, and XRD, the doped particles showed enhanced antibacterial activity. 8% aluminum additive achieved the highest antibacterial effect, significantly increasing bacterial inhibition against <i>E. coli</i> and <i>A. tumefaciens</i>. More details about this figure will be discussed by Dr. Çiğdem Oruç and her co-workers on pages 464–475 in this issue.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":17262,"journal":{"name":"Journal of The Chinese Chemical Society","volume":"72 5","pages":"441"},"PeriodicalIF":1.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jccs.70036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"First-principles investigation of double halide perovskite Li2GeSnX6 (X = Cl, Br, I) materials for energy conversion applications","authors":"Mohib Ullah,&nbsp;Naqeeb Ullah,&nbsp;Khamael M. Abualnaja,&nbsp;Syed Hatim Shah,&nbsp;Shamim Khan,&nbsp;G. Murtaza","doi":"10.1002/jccs.70028","DOIUrl":"https://doi.org/10.1002/jccs.70028","url":null,"abstract":"<p>The compositional diversity within halide double perovskites presents significant opportunities for discovering novel materials with exceptional properties applicable across various scientific domains. This study employs first-principles simulations to investigate the structural stability, photoelectric characteristics, thermoelectric performance, and mechanical properties of Li₂GeSnX₆ (X = Cl, Br, I), which are classified as Ge-based halide double perovskites. Using the modified Becke–Johnson potential approach, the band gaps of these double halide materials exhibit 1.81, 1.06, and 0.46 eV, showcasing semiconductor behavior. These materials have maximum absorbance, strong optical conductivity in the visible range, and low reflectivity, indicating that they could be used in solar cells and semiconductor gadgets. Thermoelectric findings affirm the potential of these materials for high-temperature thermoelectric power generation. Additionally, Li₂GeSnCl₆ and Li₂GeSnI₆ display elastic stability, with Cl-based compounds exhibiting ductility and ionic bonding, while I-based counterparts are brittle and demonstrate covalent bonding.</p>","PeriodicalId":17262,"journal":{"name":"Journal of The Chinese Chemical Society","volume":"72 6","pages":"640-652"},"PeriodicalIF":1.6,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of plant exposure analysis and monitoring methods for chemical warfare agents","authors":"Gang Qu,&nbsp;Ruiqian Zhang,&nbsp;Bo Chen,&nbsp;Zhongfang Xing,&nbsp;Yuxin Zhao,&nbsp;Luyue Jin,&nbsp;Yang Yang,&nbsp;Shilei Liu","doi":"10.1002/jccs.70018","DOIUrl":"https://doi.org/10.1002/jccs.70018","url":null,"abstract":"<p>The Organization for the Prohibition of Chemical Weapons (OPCW) enforces strict regulations on the production, storage, and use of chemical warfare agents (CWAs). However, in recent decades, terrorist incidents involving the use of CWAs have remained frequent, posing a persistent and serious threat to global security. Plants have emerged as a promising medium for detecting CWAs exposure or toxic chemical leaks due to their wide availability, straightforward sample preparation, and the absence of ethical concerns associated with animal testing. When plants are exposed to CWAs or toxic chemicals, various components within their tissues can react with these agents, generating specific biomarkers of exposure; the detection of these biomarkers enables accurate traceability of CWAs exposure. Furthermore, when plants are subjected to stress from external toxic substances, their phenotypic characteristics undergo significant changes. These changes can be non-destructively analyzed using hyperspectral imaging (HSI) technology, offering rapid monitoring and early warning for laboratory analysis of chemical exposure or toxic chemical leaks. This article presents a comprehensive review of the detection of metabolites and adducts produced in plants exposed to sulfur mustards, nitrogen mustards, sarin (GB), soman (GD), VX, Russian VX (RVX), and chlorine, as well as the monitoring of plant phenotypic changes using HSI technology over the past decade. The review aims to inspire further discoveries of novel plant biomarkers and inform research related to plant exposure to CWAs.</p>","PeriodicalId":17262,"journal":{"name":"Journal of The Chinese Chemical Society","volume":"72 6","pages":"595-610"},"PeriodicalIF":1.6,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning in vibrational spectroscopy: Benefits, limitations, and recent progress","authors":"Yalu Cai,&nbsp;Yuduan Lin,&nbsp;Honghao Cai,&nbsp;Hui Ni","doi":"10.1002/jccs.70031","DOIUrl":"https://doi.org/10.1002/jccs.70031","url":null,"abstract":"<p>Vibrational spectroscopy is a cornerstone in molecular analysis, offering detailed insights into chemical compositions and dynamics. Recent years have witnessed a paradigm shift with the integration of deep learning, which excels in automatically extracting intricate patterns from raw spectral data, bypassing traditional preprocessing steps. This synergy has significantly enhanced the precision and speed of applications ranging from material science to biomedical diagnostics. This review comprehensively explores the transformative impact of deep learning on vibrational spectroscopy modeling, emphasizing its superiority over traditional machine learning approaches. However, the interplay between vibrational spectroscopy and deep learning still presents significant challenges, including the demand for massive labeled datasets, the risk of overfitting, particularly with limited samples, and the inherently black-box nature of deep learning models. To address these challenges, this review highlights recent breakthroughs that leverage the unique synergy between the two fields. For instance, transfer learning enables knowledge transfer across spectral domains, mitigating the need for extensive labeled data. Generative adversarial networks synthetically expand datasets by capturing the complex patterns inherent in vibrational spectra. Physics-informed neural networks integrate spectroscopic principles directly into model architectures, bridging the gap between physical insights and data-driven approaches. Additionally, enhancing model interpretability through techniques like attention mechanisms and saliency mapping is critical for trustworthy deployment, especially in high-stakes applications where domain-specific insights from vibrational spectroscopy can guide and validate model predictions. This review not only encapsulates these advancements but also distills best practices for model development, emphasizing experimental design tailored to spectral data, hyperparameter tuning for robustness, and validation protocols that ensure reliability in cheminformatics. This review also provides an overview of the latest research and applications in vibrational spectroscopy over the past 2 years and offers insights into future directions for spectroscopic modeling in the face of big data challenges.</p>","PeriodicalId":17262,"journal":{"name":"Journal of The Chinese Chemical Society","volume":"72 6","pages":"611-626"},"PeriodicalIF":1.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-entropy oxides and alloys as emerging multifunctional nano-sized materials for photocatalytic degradation of organic pollutants","authors":"Stephen Sunday Emmanuel,&nbsp;Ademidun Adeola Adesibikan,&nbsp;Emmanuel Oladeji Oyetola,&nbsp;Ebenezer Temiloluwa Abimbola,&nbsp;Kabir O. Otun,&nbsp;Oluwaseyi D. Saliu","doi":"10.1002/jccs.70027","DOIUrl":"https://doi.org/10.1002/jccs.70027","url":null,"abstract":"<p>High-entropy materials (HEMs) including oxide versions like (CeGdHfPrZr)O₂ are emerging multifunctional materials with alluring properties and versatile applications across various fields, including environmental science. This review aims to pragmatically present a critical analysis of the latest findings on the photocatalytic application of HEMs for the degradation of different harmful organic pollutants in aqueous media. Notably, with over 70% photocatalytic degradation efficiency in the majority of published research, it can be inferred that HEMs are revolutionary in pollutant remediation. Furthermore, it was shown that spent HEMs may be readily recycled and retain over 70% efficiency while maintaining the original structural integrity for up to 2–20 cycles. Our analysis suggests that the synergy between the multi-metallic components that make up the HEMs, higher oxygen vacancies (OV), and lower e−/h⁺ recombination may be the reason for the exceptional efficiency and cyclic stability. Additionally, the study of the effect of co-existing ions demonstrated the great potential of HEMs for practical applications. Also, the electron trapping/radical-scavenging studies revealed that •O₂⁻ (which can facilitate demethylation/de-ethylation) is the biggest player in the photocatalytic degradation of various organic pollutants using HEMs, followed by •OH radicals and then h⁺.</p>","PeriodicalId":17262,"journal":{"name":"Journal of The Chinese Chemical Society","volume":"72 6","pages":"573-594"},"PeriodicalIF":1.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}