Pub Date : 2024-12-26DOI: 10.1007/s40820-024-01595-y
Hao Zhang, Menghui Qi, Yong Wang
CO2-to-CO electrolyzer technology converts carbon dioxide into carbon monoxide using electrochemical methods, offering significant environmental and energy benefits by aiding in greenhouse gas mitigation and promoting a carbon circular economy. Recent study by Strasser et al. in Nature Chemical Engineering presents a high-performance CO2-to-CO electrolyzer utilizing a NiNC catalyst with nearly 100% faradaic efficiency, employing innovative diagnostic tools like the carbon crossover coefficient (CCC) to address transport-related failures and optimize overall efficiency. Strasser’s research demonstrates the potential of NiNC catalysts, particularly NiNC-IMI, for efficient CO production in CO2-to-CO electrolyzers, highlighting their high selectivity and performance. However, challenges such as localized CO2 depletion and mass transport limitations underscore the need for further optimization and development of diagnostic tools like CCC. Strategies for optimizing catalyst structure and operational parameters offer avenues for enhancing the performance and reliability of electrochemical CO2 reduction catalysts.
CO2-to-CO电解槽技术利用电化学方法将二氧化碳转化为一氧化碳,通过帮助减少温室气体排放和促进碳循环经济,提供了显著的环境和能源效益。Strasser等人最近在《自然化学工程》(Nature Chemical Engineering)上发表的一项研究展示了一种高性能的CO2-to-CO电解槽,该电解槽利用NiNC催化剂,法拉第效率接近100%,采用碳交叉系数(CCC)等创新诊断工具来解决与运输相关的故障并优化整体效率。Strasser的研究表明,在CO -to-CO电解槽中,镍基镍基催化剂(尤其是镍基镍基镍基)具有高效CO生产的潜力,突出了其高选择性和高性能。然而,诸如局部二氧化碳消耗和质量传输限制等挑战强调了进一步优化和开发CCC等诊断工具的必要性。优化催化剂结构和操作参数为提高电化学CO2还原催化剂的性能和可靠性提供了途径。
{"title":"NiNC Catalysts in CO2-to-CO Electrolysis","authors":"Hao Zhang, Menghui Qi, Yong Wang","doi":"10.1007/s40820-024-01595-y","DOIUrl":"10.1007/s40820-024-01595-y","url":null,"abstract":"<div><p>CO<sub>2</sub>-to-CO electrolyzer technology converts carbon dioxide into carbon monoxide using electrochemical methods, offering significant environmental and energy benefits by aiding in greenhouse gas mitigation and promoting a carbon circular economy. Recent study by Strasser et al. in Nature Chemical Engineering presents a high-performance CO<sub>2</sub>-to-CO electrolyzer utilizing a NiNC catalyst with nearly 100% faradaic efficiency, employing innovative diagnostic tools like the carbon crossover coefficient (CCC) to address transport-related failures and optimize overall efficiency. Strasser’s research demonstrates the potential of NiNC catalysts, particularly NiNC-IMI, for efficient CO production in CO<sub>2</sub>-to-CO electrolyzers, highlighting their high selectivity and performance. However, challenges such as localized CO<sub>2</sub> depletion and mass transport limitations underscore the need for further optimization and development of diagnostic tools like CCC. Strategies for optimizing catalyst structure and operational parameters offer avenues for enhancing the performance and reliability of electrochemical CO<sub>2</sub> reduction catalysts.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":714,"journal":{"name":"Nano-Micro Letters","volume":"17 1","pages":""},"PeriodicalIF":26.6,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40820-024-01595-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chloroform and other volatile organic pollutants have garnered widespread attention from the public and researchers, because of their potential harm to the respiratory system, nervous system, skin, and eyes. However, research on chloroform vapor sensing is still in its early stages, primarily due to the lack of specific recognition motif. Here we report a mesoporous photonic crystal sensor incorporating carbon dots-based nanoreceptor (HMSS@CDs-PCs) for enhanced chloroform sensing. The colloidal PC packed with hollow mesoporous silica spheres provides an interconnected ordered macro-meso-hierarchical porous structure, ideal for rapid gas sensing utilizing the photonic bandgap shift as the readout signal. The as-synthesized CDs with pyridinic-N-oxide functional groups adsorbed in the hollow mesoporous silica spheres are found to not only serve as the chloroform adsorption sites, but also a molecular glue that prevents crack formation in the colloidal PC. The sensitivity of HMSS@CDs-PCs sensor is 0.79 nm ppm−1 and an impressively low limit of detection is 3.22 ppm, which are the best reported values in fast-response chloroform vapor sensor without multi-signal assistance. The positive response time is 7.5 s and the negative response time 9 s. Furthermore, relatively stable sensing can be maintained within a relative humidity of 20%–85%RH and temperature of 25–55 °C. This study demonstrates that HMSS@CDs-PCs sensors have practical application potential in indoor and outdoor chloroform vapor detection.
氯仿和其他挥发性有机污染物已经引起了公众和研究人员的广泛关注,因为它们对呼吸系统、神经系统、皮肤和眼睛有潜在的危害。然而,由于缺乏特异性的识别基序,氯仿蒸汽传感的研究还处于初级阶段。在这里,我们报告了一个介孔光子晶体传感器结合碳点为基础的纳米受体(HMSS@CDs-PCs)增强氯仿传感。胶体PC填充中空介孔硅球,提供了一个相互连接的有序宏观-介孔-分层多孔结构,是利用光子带隙位移作为读出信号的快速气体传感的理想选择。合成的具有吡啶- n -氧化物官能团的CDs吸附在中空介孔硅球上,不仅可以作为氯仿的吸附位点,而且可以作为防止胶体PC形成裂纹的分子胶。HMSS@CDs-PCs传感器的灵敏度为0.79 nm ppm−1,低检出限为3.22 ppm,是目前报道的无多信号辅助快速响应氯仿蒸汽传感器的最佳值。阳性反应时间为7.5 s,阴性反应时间为9 s。此外,在相对湿度为20%-85%RH,温度为25-55℃的条件下,可以保持相对稳定的传感。该研究表明HMSS@CDs-PCs传感器在室内和室外氯仿蒸汽检测中具有实际应用潜力。
{"title":"Carbon Dots-Modified Hollow Mesoporous Photonic Crystal Materials for Sensitivity- and Selectivity-Enhanced Sensing of Chloroform Vapor","authors":"Junchen Liu, Ji Liu, Zhipeng Li, Liupeng Zhao, Tianshuang Wang, Xu Yan, Fangmeng Liu, Xiaomin Li, Qin Li, Peng Sun, Geyu Lu, Dongyuan Zhao","doi":"10.1007/s40820-024-01598-9","DOIUrl":"10.1007/s40820-024-01598-9","url":null,"abstract":"<div><p>Chloroform and other volatile organic pollutants have garnered widespread attention from the public and researchers, because of their potential harm to the respiratory system, nervous system, skin, and eyes. However, research on chloroform vapor sensing is still in its early stages, primarily due to the lack of specific recognition motif. Here we report a mesoporous photonic crystal sensor incorporating carbon dots-based nanoreceptor (HMSS@CDs-PCs) for enhanced chloroform sensing. The colloidal PC packed with hollow mesoporous silica spheres provides an interconnected ordered macro-meso-hierarchical porous structure, ideal for rapid gas sensing utilizing the photonic bandgap shift as the readout signal. The as-synthesized CDs with pyridinic-N-oxide functional groups adsorbed in the hollow mesoporous silica spheres are found to not only serve as the chloroform adsorption sites, but also a molecular glue that prevents crack formation in the colloidal PC. The sensitivity of HMSS@CDs-PCs sensor is 0.79 nm ppm<sup>−1</sup> and an impressively low limit of detection is 3.22 ppm, which are the best reported values in fast-response chloroform vapor sensor without multi-signal assistance. The positive response time is 7.5 s and the negative response time 9 s. Furthermore, relatively stable sensing can be maintained within a relative humidity of 20%–85%RH and temperature of 25–55 °C. This study demonstrates that HMSS@CDs-PCs sensors have practical application potential in indoor and outdoor chloroform vapor detection.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":714,"journal":{"name":"Nano-Micro Letters","volume":"17 1","pages":""},"PeriodicalIF":26.6,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40820-024-01598-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}