Xiang Li | Environmental Science | Best Researcher Award | 13461

Prof Dr. Xiang Li | Environmental Science | Best Researcher Award 

Prof Dr. Xiang Li, Fudan University, China

Prof. Dr. Xiang Li is a distinguished Professor in the Department of Environmental Science and Engineering at Fudan University, Shanghai. With deep expertise in exhaled volatile organic compounds (VOCs), his pioneering research integrates breathomics, multi-omics analysis, and AI-based diagnostics to enable non-invasive early detection of diseases such as colorectal, gastric, and brain cancers. Prof. Li has led over 20 research projects, including several major grants from the National Natural Science Foundation of China, and has collaborated internationally with institutions like TROPOS and the University of Waterloo. His work bridges environmental health, analytical chemistry, and public health innovation, making significant strides in the field of precision diagnostics and air pollution impact assessment.

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Prof. Dr. Xiang Li began his academic journey with a keen interest in environmental chemistry and health science. His early training laid a robust foundation in analytical chemistry and environmental sciences, which later expanded into interdisciplinary research addressing public health challenges. A pivotal chapter in his formative years was his post-doctoral fellowship at the University of Waterloo, Canada (2008–2009), where he worked under Prof. Janusz Pawliszyn, a world-renowned expert in sampling and analytical techniques. This experience not only honed his technical expertise but also shaped his future research direction toward human exposure science and non-invasive diagnostics.

👨‍🔬 Professional Endeavors

Prof. Xiang Li has been a central figure at Fudan University’s Department of Environmental Science and Engineering since 2006, ascending from Assistant Professor to Full Professor. His academic career is marked by consistent progression and international collaboration, including a visiting scholar stint at TROPOS, Germany (2014–2015), where he worked with Prof. Hartmut Herrmann on atmospheric chemistry.

Since 2016, he has held the position of Full Professor, leading a vibrant research group and mentoring graduate students, postdoctoral researchers, and early-career scholars. Over the years, he has secured more than 20 research projects, amassing over 15 million RMB in research funding, with sustained support from the National Natural Science Foundation of China (NSFC).

🔬 Contributions and Research Focus

At the core of Prof. Li’s research lies the application of exhaled volatile organic compounds (VOCs) in disease diagnostics, particularly in cancer screening. He has developed a high-fidelity breath sampling system and a high-resolution VOC detection platform, allowing for precise identification of metabolic changes associated with various diseases.

His integrated approach combines:

  • 🧪 Direct VOC observation

  • 🧬 Multi-omics analysis

  • 🤖 AI-driven modeling for multi-disease classification

His goal is to develop non-invasive, scalable, and clinically reliable diagnostic tools. These tools have proven especially valuable in early detection of diseases like colorectal, gastric, and brain cancers.

Additionally, Prof. Li’s group actively studies:

  • 🌍 Extreme climate events

  • 🔄 Environmental carbon cycling

  • ⚗️ Environmental analytical chemistry

  • ⚠️ Emerging pollutants

  • 🌫️ Air organic pollution exposure and health impacts

This interdisciplinary scope reinforces his ability to bridge environmental science and public health, a rare and valuable combination.

🏅 Accolades and Recognition

Prof. Li’s prolific research output and innovation have earned him recognition at both national and international levels. His successful acquisition of key NSFC grants, including international cooperative projects (e.g., Sino-German studies on ozone and PM interactions), highlights his leadership in global scientific networks.

Select prestigious projects include:

  • 🌬️ NSFC Key Project on Atmospheric Ozone & PM Regulation (2021–2023)

  • 💨 NSFC Project on Human Exhaled VOC Response to Air Pollution (2023–2026)

  • 🔥 NSFC Project on Oxidative Potential of Atmospheric Particles (2019–2022)

These projects underscore his ability to lead high-impact research teams that address urgent environmental and health-related challenges.

🌍 Impact and Influence

Prof. Li’s work has profound societal implications, especially in non-invasive disease diagnostics and air pollution exposure analysis. His contributions are helping to:

  • 💡 Advance early detection techniques for life-threatening diseases

  • 🧑‍⚕️ Reduce healthcare burden through preventive diagnostics

  • 🌱 Promote sustainable development by linking air quality and human health

  • 🧭 Inform policy decisions regarding environmental health risks

Moreover, by incorporating AI algorithms, he is at the forefront of next-generation precision medicine, moving beyond traditional boundaries of environmental science.

🧬 Legacy and Future Contributions

Prof. Dr. Xiang Li’s scientific legacy is already evident in the real-world applicability of his research. He is building a framework for large-scale clinical adoption of breath biopsy—a field that has the potential to revolutionize public health screening.

Looking ahead, his team is expected to:

  • Expand the breathomics database for multiple diseases

  • Enhance AI-based diagnostic models using global clinical datasets

  • Collaborate across countries for standardizing breath tests

  • Advocate for public health policies rooted in scientific evidence

✍️ Publication Top Notes


📘Pinning a complex dynamical network to its equilibrium

Author: X Li, X Wang, G Chen
Journal: IEEE Transactions on Circuits and Systems
Year: 2004

📘A Facile One-Pot Synthesis of a Two-Dimensional MoS2/Bi2S3 Composite Theranostic Nanosystem for Multi-Modality Tumor Imaging and Therapy.
Author: S Wang, X Li, Y Chen, X Cai, H Yao, W Gao, Y Zheng, X An, J Shi, …
Journal: Advanced Materials
Year: 2015

📘Spatial epidemiology of networked metapopulation: An overview

Author: L Wang, X Li
Journal: Chinese Science Bulletin
Year: 2014

Linzhe Wang | Environmental Science | Best Researcher Award

Mr. Linzhe Wang | Environmental Science | Best Researcher Award

Postgraduate at Beijing Information Science & Technology University, China.

Linzhe Wang is a dedicated researcher currently pursuing a master’s degree in electronic information engineering at Beijing Information Science & Technology University. His research interests primarily focus on developing paper-based microfluidic chips for water quality detection and microsensors for detecting heavy metals in water. Linzhe possesses a diverse set of research skills, including experimental design, data analysis, instrumentation, literature review, problem-solving, and collaboration. These skills enable him to conduct rigorous scientific investigations, interpret complex datasets, and contribute meaningfully to advancements in his field. Linzhe’s commitment to addressing critical environmental challenges underscores his potential to make significant contributions to the field of water quality monitoring and management.

Professional Profiles:

Education:

Linzhe Wang completed his bachelor’s degree in automation from Henan University, Kaifeng, Henan, China. Currently, Linzhe is pursuing a master’s degree in electronic information engineering at Beijing Information Science & Technology University, Beijing, China. His academic journey showcases a strong foundation in engineering, particularly in the fields of automation and electronic information engineering.

Research Interest

Linzhe Wang’s research interests encompass two key areas: paper-based microfluidic chips for water quality detection and microsensors for detecting heavy metals in water. In the realm of paper-based microfluidic chips, Linzhe is engaged in the development of innovative platforms aimed at accurately assessing water quality parameters. This pursuit likely involves exploring novel fabrication techniques and integrating advanced sensing technologies into paper-based systems. Additionally, Linzhe is committed to advancing the field of microsensor technology, particularly in the realm of heavy metal detection in water. His research involves designing and optimizing sensitive and selective sensor platforms capable of detecting specific heavy metal contaminants, such as cadmium, lead, and mercury. Linzhe’s work underscores his dedication to addressing critical environmental challenges and advancing the field of water quality monitoring and management.

Research Skills

Linzhe Wang’s research skills are multifaceted and tailored to his field of study. He excels in experimental design, adept at crafting controlled experiments and protocols to ensure reliable outcomes. With a keen grasp of statistical methods and data analysis tools, Linzhe interprets complex datasets with precision, extracting meaningful insights to drive his research forward. Linzhe is well-versed in instrumentation, confidently operating an array of laboratory equipment crucial for his experiments. His meticulous literature reviews contextualize his work within existing scholarship, guiding the trajectory of his research endeavors. Linzhe’s problem-solving prowess enables him to navigate challenges seamlessly, refining methodologies and optimizing protocols. Additionally, his collaborative spirit fosters synergistic teamwork, enhancing innovation and propelling scientific progress. Linzhe Wang’s comprehensive research skills empower him to undertake rigorous investigations, contribute significant findings, and advance knowledge in his field.

Publications

  1. An Electrochemical Sensor Based on Three-Dimensional Porous Reduced Graphene and Ion Imprinted Polymer for Trace Cadmium Determination in Water
    • Authors: Wang, L., Hu, J., Wei, W., Gao, G., Qin, L.
    • Year: 2023
    • Publication: Sensors, 23(23), 9561
  2. Ion Imprinted Polymers Integrated into a Multi-Functional Microfluidic Paper-Based Analytical Device for Trace Cadmium Detection in Water
    • Authors: Hu, J., Wang, L., Song, Y., Wu, J., Mulchandani, A.
    • Year: 2023
    • Publication: Analytical Methods, 16(2), pp. 179–188