JINYANG ZHANG | Chemistry | Best Paper Award

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Best Paper Award

Dual-Channel TENG Probe for Pb2+ Detection in Drinking Water

Jinyang Zhang
Affiliation Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences
Country China
Documents 33
Citations 1,436
h-index 23
Subject Area Chemistry
Award Category Best Paper Award
ORCID 0000-0003-0984-3218
Google Scholar Scholar Profile
Event Best Paper Awards

The Best Paper Award recognizes the outstanding scholarly contributions of Jinyang Zhang from the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, China. With distinguished achievements in the field of Chemistry, Jinyang Zhang has advanced scientific research through innovative publications in nanotechnology, analytical chemistry, and environmental sensing. The award particularly recognizes the paper “Dual-Channel TENG Probe for Pb2+ Detection in Drinking Water”, highlighting excellence in scientific innovation, research quality, and contributions to environmental monitoring and public health.

Abstract

The Best Paper Award honors Jinyang Zhang for outstanding research excellence in Chemistry and nanotechnology. The award-winning study, “Dual-Channel TENG Probe for Pb2+ Detection in Drinking Water”, demonstrates innovative application of triboelectric nanogenerator (TENG) technology for highly sensitive detection of lead ions in drinking water. With 33 scholarly publications, 1,436 citations, and an h-index of 23, Jinyang Zhang has established significant academic influence through impactful research that bridges materials science, analytical chemistry, and environmental sustainability. This recognition celebrates scientific originality, publication quality, and meaningful contributions to global research.

Keywords

Chemistry; Triboelectric Nanogenerator; TENG Sensor; Lead Ion Detection; Drinking Water Safety; Nanotechnology; Environmental Monitoring; Analytical Chemistry; Scientific Innovation; Best Paper Award.

Introduction

Modern chemistry increasingly integrates nanotechnology, advanced materials, and intelligent sensing systems to address environmental and public health challenges. The Best Paper Award recognizes researchers whose work demonstrates originality, scientific rigor, and practical significance. Jinyang Zhang’s research exemplifies these qualities through the development of innovative sensing technologies capable of improving environmental monitoring and water quality assessment.

Research Profile

Jinyang Zhang is affiliated with the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, one of China’s leading research institutions in nanoscience and energy technologies. With 33 publications, 1,436 citations, and an h-index of 23, the researcher has established a strong academic presence in Chemistry, nanomaterials, and sensor technology. The publication record reflects sustained contributions to interdisciplinary research that combines chemistry, materials science, and engineering to solve real-world scientific challenges.

Scientific Background

Chemical sensing technologies have become increasingly important for ensuring environmental safety and protecting public health. The development of highly sensitive, portable, and energy-efficient detection systems represents a significant area of modern chemical research. Jinyang Zhang’s work contributes to this field through innovative triboelectric nanogenerator-based sensing platforms that enable accurate detection of hazardous heavy metal contaminants, particularly lead ions (Pb2+) in drinking water.

Methodology

The Best Paper Award recognizes excellence based on originality, scientific quality, publication impact, citation performance, and practical significance. Jinyang Zhang’s research demonstrates methodological rigor through the integration of advanced nanomaterials, triboelectric sensing mechanisms, and analytical chemistry techniques. The award-winning study presents an innovative dual-channel TENG probe that enhances sensitivity and reliability for environmental chemical analysis.

Research Impact

Jinyang Zhang’s research has received substantial scholarly recognition, reflected by 1,436 citations and an h-index of 23. The research contributes to advances in chemical sensing, nanotechnology, and environmental monitoring while supporting the development of practical technologies for water quality assessment. The award-winning publication demonstrates how interdisciplinary scientific innovation can address global environmental and public health concerns.

Scientific Contributions

Through pioneering research in triboelectric nanogenerators, chemical sensing, and nanomaterials, Jinyang Zhang has contributed to the advancement of analytical chemistry and environmental science. The development of dual-channel sensing technology provides new opportunities for portable, accurate, and sustainable detection systems that can support environmental protection, public safety, and future scientific innovation.

Conclusion

The Best Paper Award recognizes Jinyang Zhang’s outstanding contributions to Chemistry through innovative scientific research and high-impact scholarly publications. The award-winning paper, “Dual-Channel TENG Probe for Pb2+ Detection in Drinking Water”, represents excellence in analytical chemistry, nanotechnology, and environmental sensing. With an impressive citation record and continued commitment to scientific innovation, Jinyang Zhang contributes significantly to advancing global chemical research and sustainable environmental technologies.

References

  1. ORCID Author Profile.
    https://orcid.org/0000-0003-0984-3218
  2. Google Scholar Author Profile.
    https://scholar.google.com/citations?user=54RqQ5wAAAAJ&hl=en
  3. Best Paper Awards.
    bestpaperawards.com/

Sumaira Manzoor | Chemistry | Editorial Board Member

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Ms. Sumaira Manzoor | Chemistry | Editorial Board Member

Student | Institute of chemical sciences, Bahauddin zakariya university, Multan | Pakistan

Sumaira Manzoor is an accomplished researcher specializing in robotics, computer vision, and artificial intelligence, with a focus on developing advanced frameworks for autonomous systems and intelligent robots. Her work encompasses the design and deployment of edge-based vision models, human-following robots, and real-time inference systems, emphasizing efficiency and practical applicability in dynamic environments. She has made significant contributions to single and multi-object tracking, face mask recognition, semantic environment modeling, and robotic perception, leveraging both traditional machine vision and modern deep learning techniques. Manzoor has also explored ontology-based knowledge representation for cognitive robotic systems, providing comprehensive surveys and frameworks to enhance robot decision-making and interaction capabilities. Her research includes performance evaluations of cutting-edge detection models such as YOLOv3 and YOLOv4 in real-world applications, and she has developed innovative semantic SLAM and autonomous navigation frameworks aimed at high-level interaction and planning in complex environments. Throughout her career, she has published extensively in high-impact journals and presented her findings at leading international conferences, including Sensors, IEEE Access, Applied Sciences, and the International Conference on Control, Automation, and Systems (ICCAS). Her collaborative work with multidisciplinary teams has advanced the integration of AI-driven perception and reasoning in robotic systems, addressing practical challenges in mobile robotics and human-robot interaction. By bridging theoretical research and applied robotics, Manzoor’s contributions support the development of intelligent systems capable of autonomous decision-making, environment understanding, and adaptive interaction, positioning her as a leading figure in the field of AI-enabled robotics and computer vision. Her research not only advances technical knowledge but also has broad implications for real-world applications, including service robots, surveillance, healthcare, and autonomous navigation technologies.

Profile: ORCID

Featured Publications

  1. Manzoor, S., An, Y.-C., In, G.-G., Zhang, Y., Kim, S., & Kuc, T.-Y. (2023). SPT: Single pedestrian tracking framework with re-identification-based learning using the Siamese model. Sensors, 23(10), 4906. https://doi.org/10.3390/s23104906

  2. Manzoor, S., Kim, E.-J., Joo, S.-H., Bae, S.-H., In, G.-G., Joo, K.-J., Choi, J.-H., & Kuc, T.-Y. (2022). Edge deployment framework of GuardBot for optimized face mask recognition with real-time inference using deep learning. IEEE Access. https://doi.org/10.1109/ACCESS.2022.3190538

  3. Manzoor, S., Joo, S.-H., Rocha, Y. G., Bae, S.-H., Kim, E.-J., Joo, K.-J., & Kuc, T.-Y. (2021). Ontology-based knowledge representation in robotic systems: A survey oriented toward applications. Applied Sciences, 11(10), 4324. https://doi.org/10.3390/app11104324

  4. Manzoor, S., Joo, S.-H., Rocha, Y. G., Lee, H.-U., & Kuc, T.-Y. (2019). A novel semantic SLAM framework for humanlike high-level interaction and planning in global environment. CEUR Workshop Proceedings.

  5. Manzoor, S., Joo, S.-H., & Kuc, T.-Y. (2019). Comparison of object recognition approaches using traditional machine vision and modern deep learning techniques for mobile robot. International Conference on Control, Automation and Systems. https://doi.org/10.23919/ICCAS47443.2019.8971680

Sumaira Manzoor’s work advances intelligent robotics and AI-driven perception, enabling autonomous systems to interact safely and efficiently with complex environments. Her research bridges cutting-edge computer vision and real-world applications, driving innovation in robotics, healthcare, surveillance, and autonomous navigation while contributing to global technological progress.

Zouhair Lakbaibi | Chemistry | Editorial Board Member

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Prof. Dr. Zouhair Lakbaibi | Chemistry | Editorial Board Member 

Ful Professor | Laboratory of Molecular Chemistry Materials and Environment; Multidisciplinary Faculty of Nador; Mohamed First University | Morocco

Zouhair Lakbaibi is a distinguished Professor in the Chemistry Department at Mohamed First University, Multidisciplinary Faculty, Nador, Morocco, with a prolific research career focused on corrosion inhibition, green chemistry, and computational chemistry. He has contributed extensively to the understanding of the interactions between chemical compounds and metal surfaces, particularly in acidic environments, using both experimental and theoretical approaches. His work spans the study of hydrazine derivatives, perillaldehyde from essential oils, and other bioactive compounds as eco-friendly corrosion inhibitors for mild and carbon steel, combining electrochemical analyses, adsorption behavior studies, and quantum chemical modeling. In addition, Lakbaibi has investigated the degradation of synthetic dyes via Fenton reactions and studied the adsorption and removal of heavy metal ions, including cadmium and copper, employing both experimental designs and computational simulations such as Monte Carlo and factorial analysis. His research demonstrates a strong interdisciplinary focus, integrating chemistry, environmental science, and materials science, and has been published in reputable journals like Heliyon, Chemical Papers, ACS Omega, and the Journal of Failure Analysis and Prevention. His investigations also encompass tribological behaviors of metals in corrosive media, solvent effects in chemical reactions, and theoretical studies on reaction mechanisms and selectivity, including DFT and ELF approaches. Over the years, Lakbaibi has collaborated with numerous researchers across Morocco and internationally, emphasizing sustainable and environmentally friendly solutions in chemical processes. With 17 documented publications, his work highlights innovative approaches to corrosion prevention, adsorption technologies, and mechanistic studies of organic reactions, bridging theoretical and practical chemistry applications while contributing significantly to the scientific community through both experimental insights and computational modeling.

Profiles: ORCID | Scopus

Featured Publications

  1. Lakbaibi, Z., Damej, M., Molhi, A., Benmessaoud, M., Tighadouini, S., Jaafar, A., Benabbouha, T., Ansari, A., Driouich, A., & Tabyaoui, M. (2022). Evaluation of inhibitive corrosion potential of symmetrical hydrazine derivatives containing nitrophenyl moiety in 1M HCl for C38 steel: Experimental and theoretical studies. Heliyon, 8, e09087.

  2. Ansari, A., Lakbaibi, Z., Znini, M., & Manssouri, M. (2021). Evaluation of corrosion inhibition and adsorption behavior of 7-Isopropyl-4-methyl-4,5,6,7-tetrahydrobenzoisoxazole against carbon steel corrosion in 1 M HCl: Experimental and computational investigations. Analytical and Bioanalytical Chemistry Research, 8(3), 233677.

  3. Manssouri, M., Znini, M., Lakbaibi, Z., Ansari, A., & El Ouadi, Y. (2021). Experimental and computational studies of perillaldehyde isolated from Ammodaucus leucotrichus essential oil as a green corrosion inhibitor for mild steel in 1.0 M HCl. Chemical Papers, 75, 4145–4162.

  4. Jaafar, A., Ben El Ayouchia, H., Lakbaibi, Z., Regti, A., Jaafar, N., Boussaoud, A., Benallou, A., & Jodeh, S. (2021). Fenton degradation of binary synthetic dyes mixture: Experimental and DFT studies. Research Journal of Chemistry and Environment, 25, 1–12.

  5. Regti, A., Lakbaibi, Z., Ben Elayouchia, H., El Haddad, M., Laamari, M. R., Jaafar, A., Elazhary, I., & El Himri, M. (2021). Optimization and computational approach to understand the adsorption behavior of alizarine red s on the surface of fish scales. Biointerface Research in Applied Chemistry, 11(6), 14918–14934.

Zouhair Lakbaibi’s research advances sustainable chemistry by developing eco-friendly corrosion inhibitors and efficient heavy-metal remediation methods, bridging theoretical modeling and experimental studies. His work supports industry, environmental protection, and global innovation by offering practical solutions for metal preservation and pollution control.

Fyodor Malchik | Chemistry | Editorial Board Member

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Assoc Prof. Dr. Fyodor Malchik | Chemistry | Editorial Board Member 

Al-Farabi Kazakh National University | Kazakhstan

Malchik Fyodor is an accomplished electrochemist and materials scientist affiliated with al-Farabi Kazakh National University, with a verified scholarly profile reflecting strong global impact in the fields of electrochemistry, battery technology, and advanced cathode materials. He has accumulated over 850 citations with an h-index of 14 and an i10-index of 19, demonstrating both productivity and sustained influence since 2020. His research centers on next-generation aqueous and hybrid energy storage systems, with particular emphasis on MXene-based electrodes, water-in-salt electrolytes, sodium- and lithium-ion batteries, supercapacitors, and electrochemical reaction mechanisms. His most highly cited works include landmark studies on electrochemical anomalies in titanium carbide MXenes, anion insertion behavior in MXenes, and MXene conductive binders for high-performance sodium-ion anodes, all of which have significantly advanced understanding of ion transport and interfacial phenomena in aqueous electrolytes. He has also made notable contributions to high-voltage aqueous lithium-ion batteries, hybrid energy storage devices, and polyimide-based post-lithium storage systems. Beyond MXenes, his portfolio spans zinc, manganese, and multivalent ion batteries, hydrogen evolution electrocatalysis, flexible microbatteries, and metal hydride electrodes. Malchik’s work integrates in-situ electrochemical characterization, EQCM-D analysis, and materials engineering to bridge fundamental mechanisms with practical device performance. He is an active contributor to high-impact journals such as ACS Nano, Journal of the American Chemical Society, Nano Energy, ACS Energy Letters, and Energy Storage Materials. In recent years, his research has expanded toward sustainability-driven technologies including hydrogen storage, aqueous electrolyte optimization, supercapacitor membranes, and recycling-related electrochemical processes. Through extensive international collaborations and steady publication output across more than a decade, Malchik Fyodor has established himself as a key contributor to modern electrochemical energy storage and conversion science, with growing relevance to both academic research and industrial energy technologies.

Profiles: Google Scholar

Featured Publications

Wang, X., Mathis, T. S., Sun, Y., Tsai, W. Y., Shpigel, N., Shao, H., Zhang, D., Malchik, F., Gogotsi, Y., & Aurbach, D. (2021). Titanium carbide MXene shows an electrochemical anomaly in water-in-salt electrolytes. ACS Nano, 15(9), 15274–15284.

Shpigel, N., Chakraborty, A., Malchik, F., Bergman, G., Nimkar, A., Gavriel, B., Levi, M. D., & Aurbach, D. (2021). Can anions be inserted into MXene? Journal of the American Chemical Society, 143(32), 12552–12559.

Malchik, F., Shpigel, N., Levi, M. D., Penki, T. R., Gavriel, B., Bergman, G., & Aurbach, D. (2021). MXene conductive binder for improving performance of sodium-ion anodes in water-in-salt electrolyte. Nano Energy, 79, 105433.

Malchik, F., Shpigel, N., Levi, M. D., Mathis, T. S., Mor, A., Gogotsi, Y., & Aurbach, D. (2019). Superfast high-energy storage hybrid device composed of MXene and Chevrel-phase electrodes operated in saturated LiCl electrolyte solution. Journal of Materials Chemistry A, 7(34), 19761–19773.

Nimkar, A., Bergman, G., Ballas, E., Tubul, N., Levi, N., Malchik, F., Kukurayeva, I., & Aurbach, D. (2023). Polyimide compounds for post-lithium energy storage applications. Angewandte Chemie, 135(50), e202306904.

Driving the frontier of aqueous and hybrid energy storage, the nominee’s research on MXenes, advanced electrolytes, and next-generation battery materials has reshaped fundamental understanding of ion transport while enabling safer, high-performance energy devices. This work directly supports global transitions toward sustainable electrification, scalable energy storage, and hydrogen technologies with strong industrial and societal impact.