ZWE-LING KONG | Food Toxicology | Best Researcher Award

Published on by Food Scientist

Prof. Dr. ZWE-LING KONG | Food Toxicology | Best Researcher Award

Distinguished Professor at National Taiwan Ocean University, Taiwan
Prof. Dr. Zwe-Ling Kong is a distinguished Taiwanese food scientist and internationally recognized expert in food biotechnology, cell immunology, health foods, and marine-derived functional ingredients. With over four decades of academic, research, and entrepreneurial experience, he has significantly contributed to advancing health food technology and micro/nanoplastics safety. He currently serves as a Distinguished Professor at the Department of Food Science, National Taiwan Ocean University (NTOU), and holds various prestigious positions in international academic societies and editorial boards. His prolific research output and industrial collaborations underscore his reputation as a global leader in health-oriented food research.

Publications Profile

Scopus

Orcid

🎓 Education Details

Ph.D. in Food Science & Biotechnology, Kyushu University, Japan (1989–1991)
M.S. in Food Science, Kyushu University, Japan (1986–1989)
B.S. in Food Science, National Taiwan Ocean University, Taiwan (1978–1982)
Visiting Scholar, RIKEN Cell Bank, Japan (1994)

👩‍🔬 Professional Experience

President, Institute of Food Research and Entrepreneur for Safety and Health (iFRESH) (2023–present)
Director, University-Industry Collaboration Center, NTOU (2020–2022)
President, Taiwan Society of Health Food (2019–2023)
Chair, Department of Food Science, NTOU (2013–2019)
Chairman, Biotaiwan Foundation (2010–present)
Director, International Affairs, NTOU (2009–2011)
Editor, Marine Life Science & Technology, Zebrafish, Cytotechnology, etc.
Founder & CEO, Alarvita Biolife Corporation (2002–2004)
Health Food Permit Committee Member, Department of Health, Taiwan (2000–present)

🌱 Research Interests

Prof. Kong’s interdisciplinary research integrates cellular immunology, health food development, and nanoparticle applications. His key focus areas include:

Health food materials (e.g., anti-obesity, anti-inflammatory, reproductive health)
Micro/nanoplastics toxicology and marine pollution mitigation
Nano-encapsulation and targeted delivery of bioactive compounds
Arthritis, oxidative stress, and hair follicle regeneration
Functional foods from marine organisms and traditional Chinese medicine derivatives

🏆 Awards and Honors

2024 – Fellow, International Association for Agricultural Sustainability (IAAS)
2023 – Excellent Contribution Award, Taiwan Society of Health Food
2020 – Academic Research Award, Taiwan Association for Food Science and Technology
2013 – Food Industry Contribution Award, Taiwan Association for Food Science and Technology
Longstanding membership and leadership in IUFoST, ISNFF, and JAACT

🔍 Conclusion

Prof. Dr. Zwe-Ling Kong is an internationally respected scholar whose pioneering research in health food development, cellular immunology, and micro/nanoplastics toxicology has significantly advanced the fields of food science and biotechnology. With over four decades of academic leadership, more than 100 high-impact publications, multiple patents, and notable industry collaborations, he has made substantial contributions to both scientific innovation and public health. His work addresses critical global issues such as food safety, obesity-related disorders, reproductive health, and environmental sustainability. Prof. Kong’s outstanding achievements, combined with his leadership roles in academic societies and regulatory bodies, make him a highly deserving candidate for the Best Researcher Award.

Publications 📚

🦈 Sturgeon Collagen for Osteoarthritis Therapy
📄 Jerrell Felim et al. (2025, Jun)
🧬 Sturgeon collagen peptide chelate-zinc improves osteoarthritis in obese rats.
📚 Biomedicine & Pharmacotherapy
🔗 Read Article

🍄 Yamabushitake Mushroom & Reproductive Health
📄 Yi-Yuh Hwang et al. (2025, Jun)
🔬 Mushroom mycelium restores reproductive function affected by microplastics.
📚 International Journal of Molecular Sciences
🔗 Read Article

🌿 Nano-Echinacea for Reproductive Injury
📄 Yi-Yuh Hwang et al. (2025, Jun)
🧠 Benefits via gut-brain axis in plastic-exposed rats.
📚 International Journal of Molecular Sciences
🔗 Read Article

🧫 Lactobacillus brevis & Microplastic Toxicity
📄 Yi-Yuh Hwang et al. (2025, May)
🧪 Probiotic combats oxidative stress and reproductive dysfunction.
📚 International Journal of Molecular Sciences
🔗 Read Article

🍼 Microplastics in Digestion with Milk
📄 Gopinath Mummaleti et al. (2024, Dec)
🧪 Analyzing microplastic transformations in milk digestion.
📚 Food Research International
🔗 Read Article

🦴 Calcium Carbonate for Bone Healing
📄 Tsu-Te Yeh et al. (2024, Nov)
🦴 Enhances fracture healing in rat models.
📚 Nutrients
🔗 Read Article

🍵 Mycotoxins in Tea Risk Assessment
📄 Ying-Chun Wan et al. (2024, Sep)
☢️ Risk evaluation and detection optimization.
📚 Food Chemistry
🔗 Read Article

🧠 Evodiamine for Alzheimer’s Disease
📄 Ying-Chun Wan et al. (2024, Jul)
🧠 Improves cognition and synaptic health.
📚 Biomedicine & Pharmacotherapy
🔗 Read Article

🌿 Plant Calcium Carbonate for Growth
📄 Chun-Kai Chen et al. (2024, Mar)
🦴 Boosts bone growth in rats.
📚 Biology
🔗 Read Article

🌊 Fucoidan Protects Against Microplastic Damage
📄 Yi-Yuh Hwang et al. (2024, Jan)
🛡️ Antioxidant and reproductive protection.
📚 Biomedicine & Pharmacotherapy
🔗 Read Article

 

 

 

 

 

 

 

 

Qing Liang | Food Safety and Quality Control | Best Researcher Award

Published on by Food Scientist

Ms. Qing Liang | Food Safety and Quality Control | Best Researcher Award

College of Mechanical and Electrical Engineering at College of Mechanical and Electrical Engineering, China

Qing Liang is a graduate student in Mechanical Engineering with a strong focus on food safety and quality control. His research combines non-destructive testing methods, such as dielectric spectroscopy, with machine learning to address challenges in food quality, particularly within the dairy industry. Liang has contributed to several publications in well-regarded journals, demonstrating his expertise and commitment to advancing food science. With a passion for innovation, he is working towards bridging the gap between mechanical engineering and food safety. Liang’s ongoing research positions him as a promising young researcher in the fields of engineering and food technology.

Professional Profile

Education

Qing Liang is currently pursuing a postgraduate degree in Mechanical Engineering, graduating in the class of 2023. His academic journey has been marked by a strong foundation in engineering principles, alongside specialized focus areas such as non-destructive testing and machine learning applications in food safety and quality control. Liang’s academic training has equipped him with advanced problem-solving skills, research methodologies, and a deep understanding of both mechanical engineering and food science. His rigorous coursework and research have allowed him to contribute to innovative solutions in food safety, further solidifying his expertise in the intersection of engineering and food technology.

Professional Experience

Qing Liang currently works as a graduate student researcher at the Xinjiang Production and Construction Corps Key Laboratory of Utilization and Equipment of Special Agricultural and Forestry Products in Southern Xinjiang, China. In this role, he focuses on developing and testing innovative solutions for food safety and quality control, particularly within the dairy industry. His professional experience spans non-destructive testing, machine learning, and food safety methodologies. Qing has contributed to various projects that explore advanced techniques like dielectric spectroscopy to improve the quality and safety of agricultural products. Through his research, he actively bridges mechanical engineering and food science to address industry challenges.

Research Interests

Qing Liang’s research interests lie at the intersection of mechanical engineering, food safety, and machine learning. He focuses on applying non-destructive testing methods, such as dielectric spectroscopy, to enhance food quality control and safety, particularly in dairy products. His work explores innovative approaches to detecting adulteration, protein content, and other key factors influencing food safety. Liang is also passionate about integrating machine learning techniques with traditional testing methods to improve accuracy and efficiency in food quality assessment. By combining engineering principles with food science, his research aims to develop sustainable solutions that address current challenges in food safety and quality control.

Awards and Honors

Although Qing Liang is still early in his career, his research has already earned recognition in academic circles. He has authored multiple research papers in high-impact journals, such as the Journal of Food Science and Foods, focusing on innovative methods for food safety and quality control. Liang’s work has garnered citations, reflecting its growing influence in the field. His contributions to advancing non-destructive testing and machine learning applications in food science showcase his potential for future awards and honors. As a promising researcher, Liang’s continuous commitment to innovation positions him for further accolades in his field.

Conclusion

While LiangQing has demonstrated promise as an emerging researcher with a focus on innovative topics, they may currently lack the breadth and depth of achievements typically expected for the Best Researcher Award. Strengthening their profile with completed high-impact research, industry collaborations, and leadership roles in the scientific community would make them a stronger contender for future awards.

Publications Top Noted

  • Non-destructive detection of water adulteration level in fresh milk based on combination of dielectric spectrum technology and machine learning method
    • Authors: Liang, Q., Liu, Y., Zhang, H., Xia, Y., Li, S.
    • Journal: Journal of Food Composition and Analysis
    • Year: 2024
    • Volume: 136
    • Article Number: 106807
    • Citations: 0
  • The Study on Nondestructive Detection Methods for Internal Quality of Korla Fragrant Pears Based on Near-Infrared Spectroscopy and Machine Learning
    • Authors: Che, J., Liang, Q., Xia, Y., Zhang, H., Lan, H.
    • Journal: Foods
    • Year: 2024
    • Volume: 13(21)
    • Article Number: 3522
    • Citations: 3
  • Dielectric spectroscopy technology combined with machine learning methods for nondestructive detection of protein content in fresh milk
    • Authors: Liang, Q., Liu, Y., Zhang, H., Che, J., Guo, J.
    • Journal: Journal of Food Science
    • Year: 2024
    • Volume: 89(11)
    • Pages: 7791–7802
    • Citations: 0
  • Non-Destructive Testing of the Internal Quality of Korla Fragrant Pears Based on Dielectric Properties
    • Authors: Tang, Y., Zhang, H., Liang, Q., Che, J., Liu, Y.
    • Journal: Horticulturae
    • Year: 2024
    • Volume: 10(6)
    • Article Number: 572
    • Citations: 1