Zhenxu Li, Lingling Du, Xiaxia Xing, Xinhua Zhao, Xiaoyu Chen, Xiaohu Huang, Dachi Yang
Reliable detection of hydrogen (H2) leakage at low temperatures (e.g., < 273 K) is highly desired in those critical environments that may cause failure in detection, which needs further development. Herein, H2 sensing that can work at ≈190–388 K temperature range has been developed by integrating palladium and zinc nanowires enwrapped with nanosheets (PdZn NWs) as the sensing materials, which have been prepared via combined anodic aluminum oxide (AAO) template-confined electrodeposition and surface engineering. Typically, as-synthesized PdZn NWs with a diameter of ≈50 nm present rough surfaces, along which abundant pores and fractures have been observed. Beneficially, the PdZn NWs show a lower critical temperature (≈190 K) of the “reverse sensing behavior” than that of pure Pd NWs (287 K), indicating the PdZn NWs are able to work at ≈190–388 K temperature range. Theoretically, such stable H2 sensing can be attributed to the rough surfaces and chemical composition of PdZn NWs, which facilitates H atoms diffusion and accommodates the expansion of PdHx intermediates. The surface engineering of PdZn NWs may contribute to stable H2 sensing at low temperatures, which can be applied to other gas-sensing materials working at low temperatures.
{"title":"Surface Engineering on Palladium and Zinc Nanowires for Hydrogen Sensing Working at ≈190–388 K Temperature Range","authors":"Zhenxu Li, Lingling Du, Xiaxia Xing, Xinhua Zhao, Xiaoyu Chen, Xiaohu Huang, Dachi Yang","doi":"10.1002/adsr.202400011","DOIUrl":"https://doi.org/10.1002/adsr.202400011","url":null,"abstract":"<p>Reliable detection of hydrogen (H<sub>2</sub>) leakage at low temperatures (e.g., < 273 K) is highly desired in those critical environments that may cause failure in detection, which needs further development. Herein, H<sub>2</sub> sensing that can work at ≈190–388 K temperature range has been developed by integrating palladium and zinc nanowires enwrapped with nanosheets (PdZn NWs) as the sensing materials, which have been prepared via combined anodic aluminum oxide (AAO) template-confined electrodeposition and surface engineering. Typically, as-synthesized PdZn NWs with a diameter of ≈50 nm present rough surfaces, along which abundant pores and fractures have been observed. Beneficially, the PdZn NWs show a lower critical temperature (≈190 K) of the “reverse sensing behavior” than that of pure Pd NWs (287 K), indicating the PdZn NWs are able to work at ≈190–388 K temperature range. Theoretically, such stable H<sub>2</sub> sensing can be attributed to the rough surfaces and chemical composition of PdZn NWs, which facilitates H atoms diffusion and accommodates the expansion of PdHx intermediates. The surface engineering of PdZn NWs may contribute to stable H<sub>2</sub> sensing at low temperatures, which can be applied to other gas-sensing materials working at low temperatures.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141967970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hyo Jeong Seo, Jun Young Kim, Jun-Yeong Yang, Chaewon Mun, Seunghun Lee, Eun Hye Koh, Vo Thi Nhat Linh, Mijeong Kang, Ho Sang Jung
To develop a field applicable hazardous molecular detection system, highly sensitive and multiplex detection capability is required for practical utilization. Here, a paper-based 3D spiky needle-clustered gold grown on silver (Ag@Au) plasmonic nanoarchitecture (3D-SNCP) is fabricated through whole solution process. The developed substrate is investigated by scanning electron microscopy (SEM), transmission electron microscopy (TEM) and X-ray diffraction (XRD) to find out morphological development mechanism. Also, finite-domain time difference (FDTD) simulation is conducted for the observation of electromagnetic field (E-field) distribution. After surface-enhanced Raman scattering (SERS) characterization, the 3D-SNCP is utilized for ultra-sensitive and multiplex hazardous molecular detection, such as bipyridine pesticides including paraquat (PQ), diquat (DQ), and difenzoquat (DIF). Then, each of pesticide molecular Raman signals are trained by a machine learning technique of multinomial logistic regression (MLR), followed by multiplex classificationf of blank, PQ, DQ, DIF, and four mixture types of each pesticide, spiked in real agricultural matrix. The developed 3D-SNCP substrate combined with the machine learning method successfully verifies the multiple pesticides and it is expected to be applied for various hazardous molecular detection in much complicated matrix environments.
要开发一种适用于现场的危险分子检测系统,就必须具备高灵敏度和多重检测能力。本文通过全溶液工艺制备了一种基于纸的银上生长的三维尖针状金(Ag@Au)质子纳米结构(3D-SNCP)。通过扫描电子显微镜(SEM)、透射电子显微镜(TEM)和 X 射线衍射(XRD)对所制备的基底进行了研究,以找出其形态发展机理。此外,还进行了有限域时差(FDTD)模拟,以观察电磁场(E-field)的分布。经过表面增强拉曼散射(SERS)表征后,3D-SNCP 被用于超灵敏和多重有害分子检测,如百草枯(PQ)、敌草快(DQ)和敌草快(DIF)等联吡啶类农药。然后,利用多叉逻辑回归(MLR)的机器学习技术对每种农药分子拉曼信号进行训练,再对实际农业基质中添加的空白、PQ、DQ、DIF 和每种农药的四种混合物进行多重分类。所开发的 3D-SNCP 基质与机器学习方法相结合,成功地验证了多种农药,有望应用于复杂基质环境中各种有害分子的检测。
{"title":"3D Spiky Needle-Clustered Ag@Au Plasmonic Nanoarchitecture for Highly Sensitive and Machine Learning-Assisted Detection of Multiple Hazardous Molecules","authors":"Hyo Jeong Seo, Jun Young Kim, Jun-Yeong Yang, Chaewon Mun, Seunghun Lee, Eun Hye Koh, Vo Thi Nhat Linh, Mijeong Kang, Ho Sang Jung","doi":"10.1002/adsr.202400030","DOIUrl":"10.1002/adsr.202400030","url":null,"abstract":"<p>To develop a field applicable hazardous molecular detection system, highly sensitive and multiplex detection capability is required for practical utilization. Here, a paper-based 3D spiky needle-clustered gold grown on silver (Ag@Au) plasmonic nanoarchitecture (3D-SNCP) is fabricated through whole solution process. The developed substrate is investigated by scanning electron microscopy (SEM), transmission electron microscopy (TEM) and X-ray diffraction (XRD) to find out morphological development mechanism. Also, finite-domain time difference (FDTD) simulation is conducted for the observation of electromagnetic field (E-field) distribution. After surface-enhanced Raman scattering (SERS) characterization, the 3D-SNCP is utilized for ultra-sensitive and multiplex hazardous molecular detection, such as bipyridine pesticides including paraquat (PQ), diquat (DQ), and difenzoquat (DIF). Then, each of pesticide molecular Raman signals are trained by a machine learning technique of multinomial logistic regression (MLR), followed by multiplex classificationf of blank, PQ, DQ, DIF, and four mixture types of each pesticide, spiked in real agricultural matrix. The developed 3D-SNCP substrate combined with the machine learning method successfully verifies the multiple pesticides and it is expected to be applied for various hazardous molecular detection in much complicated matrix environments.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141350130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Developing progressive photoelectrochemical (PEC) techniques holds great potential for advancing analytical sensitivity in clinical. However, the low transport and separation of charge carrier efficiency and deficient active sites block efficient and durable PEC analytical performance features. And herein a piezo-assisted PEC sensing platform for glutathione (GSH) detection are successfully prepared based on S vacancies rich CdS (Sv-CdS) nanowires. The collaboration of piezoelectric polarization and S vacancies engineering contributed to the boosted PEC performance by accelerating the spatial separation of photogenerated charges and providing abundant active sites. Moreover, the charge transfer efficiency further promoted with the introduction of GSH acted a hole scavenge that effectively suppresses the electron-hole recombination, giving rise to an amplified photocurrent. As a demonstration, the proposed method presents an outstanding analytical performance toward GSH. Consequently, this work provides an inspirable and convenient route for designing high-efficiency photoelectrode in PEC sensing in virtue of judicious structural, and defect engineering, and the exploring of an external-field-coupling-enhanced PEC platform.
开发渐进式光电化学(PEC)技术在提高临床分析灵敏度方面具有巨大潜力。然而,电荷载流子的低传输和分离效率以及活性位点的不足阻碍了 PEC 分析性能的高效性和持久性。本文基于富含 S 空位的 CdS(Sv-CdS)纳米线,成功制备了用于谷胱甘肽(GSH)检测的压电辅助 PEC 传感平台。压电极化和 S 空位工程的协同作用加速了光生电荷的空间分离,并提供了丰富的活性位点,从而提高了 PEC 性能。此外,由于引入了 GSH 作为空穴清除剂,有效抑制了电子-空穴重组,从而放大了光电流,进一步提高了电荷转移效率。由此可见,所提出的方法对 GSH 具有出色的分析性能。因此,这项工作为设计光致发光传感中的高效光电极提供了一条可取而便捷的途径,即通过合理的结构和缺陷工程设计,探索一种外场耦合增强型光致发光平台。
{"title":"Defect Engineering and Piezoelectrical Polarization Synergistically Assisted for Photoelectrochemical Sensing Based on CdS Nanowires","authors":"Yanhu Wang, Mengchun Yang, Shenguang Ge, Jinghua Yu","doi":"10.1002/adsr.202400019","DOIUrl":"10.1002/adsr.202400019","url":null,"abstract":"<p>Developing progressive photoelectrochemical (PEC) techniques holds great potential for advancing analytical sensitivity in clinical. However, the low transport and separation of charge carrier efficiency and deficient active sites block efficient and durable PEC analytical performance features. And herein a piezo-assisted PEC sensing platform for glutathione (GSH) detection are successfully prepared based on S vacancies rich CdS (S<sub>v</sub>-CdS) nanowires. The collaboration of piezoelectric polarization and S vacancies engineering contributed to the boosted PEC performance by accelerating the spatial separation of photogenerated charges and providing abundant active sites. Moreover, the charge transfer efficiency further promoted with the introduction of GSH acted a hole scavenge that effectively suppresses the electron-hole recombination, giving rise to an amplified photocurrent. As a demonstration, the proposed method presents an outstanding analytical performance toward GSH. Consequently, this work provides an inspirable and convenient route for designing high-efficiency photoelectrode in PEC sensing in virtue of judicious structural, and defect engineering, and the exploring of an external-field-coupling-enhanced PEC platform.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141345164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria De Luca, Adriano Acunzo, Daniele Marra, Margherita Borriello, Diego Ingrosso, Raffaele Velotta, Vincenzo Iannotti, Bartolomeo Della Ventura
Magneto-plasmonic particles, comprising gold and iron oxide, exhibit substantial potential for biosensing applications due to their distinct properties. Gold nanoparticles (AuNPs) provide plasmonic features, while iron oxide composites, responsive to an external magnetic field, significantly reduce detection time compared to passive diffusion. This study explores core@satellite magneto-plasmonic particles (CSMPs), featuring magnetic nanoparticle clusters and numerous satellite-like AuNPs, to amplify the optical response on a nanostructured gold surface. Using a sandwich scheme, target analytes are detected as hybrid nanoparticles bind to the pre-immobilized target on the AuNPs surface, inducing changes in the immunosensor's extinction spectrum. Application of an external magnetic field notably enhances biosensor response and sensitivity, reducing assay time from hours to minutes. Leveraging the properties of CSMPs, the immunosensor detects specific immune protein at low concentrations within minutes. CSMPs hold considerable promise for precise and sensitive analyte detection, offering potential applications in rapid testing and mass screening.
{"title":"Beyond the Passive Diffusion: Core@Satellite Magneto-Plasmonic Particles for Rapid and Sensitive Colorimetric Immunosensor Response","authors":"Maria De Luca, Adriano Acunzo, Daniele Marra, Margherita Borriello, Diego Ingrosso, Raffaele Velotta, Vincenzo Iannotti, Bartolomeo Della Ventura","doi":"10.1002/adsr.202400006","DOIUrl":"10.1002/adsr.202400006","url":null,"abstract":"<p>Magneto-plasmonic particles, comprising gold and iron oxide, exhibit substantial potential for biosensing applications due to their distinct properties. Gold nanoparticles (AuNPs) provide plasmonic features, while iron oxide composites, responsive to an external magnetic field, significantly reduce detection time compared to passive diffusion. This study explores core@satellite magneto-plasmonic particles (CSMPs), featuring magnetic nanoparticle clusters and numerous satellite-like AuNPs, to amplify the optical response on a nanostructured gold surface. Using a sandwich scheme, target analytes are detected as hybrid nanoparticles bind to the pre-immobilized target on the AuNPs surface, inducing changes in the immunosensor's extinction spectrum. Application of an external magnetic field notably enhances biosensor response and sensitivity, reducing assay time from hours to minutes. Leveraging the properties of CSMPs, the immunosensor detects specific immune protein at low concentrations within minutes. CSMPs hold considerable promise for precise and sensitive analyte detection, offering potential applications in rapid testing and mass screening.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202400006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141350103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Behrad Koohbor, Wei Xue, Kazi Z. Uddin, George Youssef, Daniel Nerbetski, Bradley Steiger, Joseph Kenney, Dana Yarem
3D-Printable Sensors
This study investigates the development of 3D printable thermoplastic polyurethane filaments incorporating multi-walled carbon nanotubes (MWCNT) for enhanced strain-sensing capabilities. Piezoresistive structures are fabricated and tested to demonstrate the potential applicability of the custom filaments. More details can be found in article number 2300198 by Behrad Koohbor and co-workers.