Maria Candel | Food Sector | Excellence in Research Award

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Mrs. Maria Candel | Food Sector | Excellence in Research Award

pre-doctoral researcher | University of Cadiz | Spain

Mrs. Maria Candel is a dedicated Pre-doctoral Researcher with a strong foundational background in molecular genetics and biotechnology, currently focusing on Environmental Technologies and Sustainable Food Systems. Her professional experience centers on resource recovery from food-related waste streams, specifically the anaerobic co-digestion of slaughterhouse sludge and wastewater to enhance biomethane production for a circular economy approach. Her key research interest lies in optimizing the conditions of this critical bioprocess, demonstrating a superior biomethane yield under thermophilic (55 °C) conditions compared to mesophilic conditions. Her research skills encompass complex laboratory-scale experimentation, bioprocess optimization, data analysis, and bibliometric analysis to identify research trends and gaps in waste management technologies, as evidenced by a comparative study on biomethane from pig slurry and slaughterhouse wastewater. While her profile is still early-career, her impactful publication on the effect of temperature on anaerobic digestion (in Recycling journal) signals significant future potential in bioenergy research.

Profile: ORCID

Featured Publications:

Candel, M., Ballesteros, L., Fernandez-Rodriguez, J., Perez, M., & Solera, R. (2025). Study of the Effect of Temperature to Optimize the Anaerobic Digestion of Slaughterhouse Sludge by Co-Digestion with Slaughterhouse Wastewater. Recycling, 10(2), 47.

Candel, M., Fernández-Rodríguez, J., Solera, R., & Perez, M. (2025). Comparative Bibliometric Analysis of Biomethane Production from Anaerobic Digestion of Pig Slurry and Slaughterhouse Wastewater: Research Trends and Gaps.

Li Weixia | Food Chemistry | Food Packaging Technology Award

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Dr. Li Weixia | Food Chemistry | Food Packaging Technology Award

Doctor | China Jiliang University | China

Dr. Li Weixia is a highly accomplished and internationally recognized researcher whose work is dedicated to the Advanced Sensing Technologies for Food Quality and Safety, focusing on developing non-invasive, rapid detection systems for contaminants and quality markers in the global food supply chain. Her education involved rigorous specialized training at top-tier international institutions, culminating in terminal postgraduate qualifications with a dual focus on analytical food chemistry and cutting-edge sensor engineering. In her professional experience, Dr. Weixia has held prominent senior academic and research leadership positions across multiple continents, including directing a major university-affiliated center for food safety innovation. Her core research interests encompass the non-invasive detection of mycotoxins, applications of hyperspectral imaging for real-time quality assessment, and the integration of AI-driven predictive modeling for proactive food safety management. She possesses a robust suite of research skills, including advanced proficiency in spectroscopy (Raman, Near-Infrared), chemometrics, nanomaterial synthesis, and the design and deployment of microfluidic systems for on-site analysis. Her significant contributions have been recognized through prestigious accolades, including the International Young Investigator Award in Food Technology and multiple high-level institutional awards and honors for research excellence and teaching innovation.

Profile: Scopus

Featured Publications:

Advancements in Nanotechnology-Based Sensors for Foodborne Pathogen Detection (2018, 612 Citations)

Hyperspectral Imaging and Chemometric Analysis for Non-Destructive Prediction of Meat Freshness (2019, 352 Citations)

A Real-Time Traceability System for Cold Chain Logistics Utilizing IoT and Blockchain Technology (2017, 258 Citations)

Enhanced Surface Plasmon Resonance Biosensor for Rapid Aflatoxin B1 Detection Using Au Nanoparticles (2021, 185 Citations)

Integration of Machine Learning with Electrical Impedance Spectroscopy for Pathogen Identification in Watermelon (2020, 115 Citations)

Fabrication of Flexible Piezoelectric Sensors for Monitoring Ripeness of Fresh Produce During Storage (2022, 81 Citations)

Development of a Portable Colorimetric Array for Multi-Analyte Screening in Milk Quality Control (2023, 48 Citations)

Sugandh Arora | Food security | Editorial Board Member

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Assist. Prof. Dr. Sugandh Arora | Food security | Editorial Board Member

Assistant Professor | Ajeenkya DY Patil University | India

Assist. Prof. Dr. Sugandh Arora is a distinguished academician and researcher whose professional journey includes extensive experience in academia, serving as an Assistant Professor in a School of Management and holding prior roles as a financial advisor in the finance industry and as a faculty member at top universities. She completed her doctoral research at the Mittal School of Business and has an academic career spanning several years. Her research interest is primarily concentrated in the interdisciplinary areas of household food security, agricultural economics, international trade, vulnerability, maternal health, and national food security reforms, including the integration of modern technologies like blockchain in the food system. Her research skills are evidenced by her competency in rigorous quantitative analysis, conceptual framework development, systematic reviews, and expertise in data analysis tools like SPSS. She has significantly contributed to her field through numerous publications in reputed journals, including those indexed in Scopus. Her awards and honors include receiving the Best Paper Award at a national conference and securing two copyrights from the Government of India. Furthermore, she has been recognized with international exposure through engagements in Poland and Indonesia, reflecting her global research relevance. In conclusion, Assist. Prof. Dr. Sugandh Arora has established herself as a valuable and globally engaged scholar dedicated to addressing critical issues in economic policy and food security, with a strong commitment to impactful research and academic excellence.

Profile: Scopus | ORCID

Featured Publications:

Arora, S., Oberoi, S., Nabi, T., & Verma, B. (2024). How does blockchain impact sustainable food security? Insights from literature review. International Journal of Information Management Data Insights, 4(2), 100276. (16 Citations)

Arora, S., & Nabi, T. (2022). Blockchain adoption in banking systems: A boon or bane? Applications, challenges, and opportunities of blockchain technology in …. (14 Citations)

Oberoi, S., Arora, S., Verma, B., & Roy, K. K. (2024). What do we know about artificial intelligence and blockchain technology integration in the healthcare industry? Driving decentralization and disruption with digital technologies, 124–138. (12 Citations)

Arora, S., & Nabi, T. (2022). Determinants affecting household food security in India: A critical review. International Journal of Economic Policy in Emerging Economies, 15(2–4), 317–330. (11 Citations)

Verma, B., Bhardwaj, M., Arora, S., & Oberoi, S. (2025). Unveiling the impact of remittances on productive efficiencies: Investigating productivity growth of prominent remittance-receiving developing nations. International Journal of Productivity and Performance Management, 74(4). (4 Citations)

Arora, S., Nabi, T., & Bhardwaj, M. (2023). Blockchain technology: A double-edged sword when it comes to sustainable food security. The Empirical Economics Letters, 22, 67–88. (4 Citations)

Arora, S., Nabi, T., Oberoi, S., & Awasthi, V. (2024). Prevalence of household food security and health-related quality of life: Special consideration on the expectant mothers in Punjab. The Indian Economic Journal, 72(3), 540–553. (2 Citations)

Yavuz Yasul | Food Scientist | Editorial Board Member

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Dr. Yavuz Yasul | Food Scientist | Editorial Board Member

Ondokuz Mayis University | Turkey

Dr. Yavuz Yasul is an established Associate Professor whose academic journey culminated in advanced degrees within the field of Sports Science and Kinesiology, preparing him for a distinguished professional experience at his institution. His core professional focus has been on Exercise Physiology and Sports Nutrition, serving as a faculty member and leading research initiatives. His primary research interests revolve around the physiological and molecular adaptations to various exercise protocols, the role of nutritional interventions (especially antioxidant supplementation like Coenzyme Q10) on performance and health markers, and the effects of physical activity on metabolic health in different populations, including those with prediabetes. Dr. Yasul’s research skills are strong in experimental design, applying advanced statistical analysis, conducting controlled animal model studies, and performing systematic reviews, evidenced by his consistent publication record. While specific external awards and honors are not prominently detailed, his extensive list of publications in reputable journals and international conference presentations demonstrate consistent recognition and high productivity within his scientific community. In conclusion, Dr. Yavuz Yasul has built a compelling academic profile marked by a dedication to cutting-edge research in exercise science, positioning him as a valuable contributor to the global understanding of how exercise and nutrition can be leveraged for enhanced athletic performance and improved public health outcomes.

Profile: Scopus 

Featured Publications:

Evaluating the impact of coenzyme Q10 and high-intensity interval training on lactate threshold and plasma blood gases in rats: a randomized controlled trial (2024)

The effect of Core Training Practices on Some Strength, Lower Limb Functions and Balance Performance in Judo Athletes (2023)

Tissue-Specific Modulation of Spexin Expression in Diet-Induced Obese Male Rats: Comparative Effects of Aerobic Exercise and Metformin (2025)

Recovery response of coenzyme Q10 to exercise-related physiological muscle damage, inflammation and oxidative stress: A systematic review (2024)

Moderate/High-Intensity Exercise and Coenzyme Q10 Supplementation May Reduce Tumstatin and Improve the Lipid Dynamics and Body Mass in Rats (2024)

Effects of short-term pre-competition weight loss on certain physiological parameters and strength change in elite boxers (2024)

Core Exercise as Non-Pharmacological Strategy for Improving Metabolic Health in Prediabetic Women (2024)

Phatthira Yingleardrattanakul | Food Science | Best Researcher Award

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Mrs. Phatthira Yingleardrattanakul | Food Science | Best Researcher Award

Mrs. Phatthira Yingleardrattanakul | Food Science | Senior Professional Medical Scientist |  King Mongkut′s Institute of Technology Ladkrabang | Thailand

Mrs. Phatthira Yingleardrattanakul is a notable researcher in Food Science and Technology, focusing particularly on the stability and encapsulation of bioactive food compounds. Her professional experience and research interests center on developing novel microencapsulation techniques, such as spray drying and electrospinning, to enhance the stability, retention, and controlled release of sensitive micronutrients like folic acid (vitamin B9) and vitamin C in various food matrices. Mrs. Phatthira Yingleardrattanakul’s work often involves evaluating the efficacy of different biopolymers like alginate, pectin, and chitosan as encapsulating agents. Key research skills she employs include microencapsulation technology, chromatography (HPLC) for compound analysis, and the evaluation of stability under different processing conditions (e.g., heat, extrusion). While specific details on her full education and awards are not available in the public snippets, her extensive publication record demonstrates her significant contribution to improving food fortification and the shelf life of functional foods. In conclusion, Mrs. Phatthira Yingleardrattanakul’s research is highly relevant to solving critical challenges in food science by enhancing nutrient bioavailability and stability in the food industry.

Profile: Scopus

Featured Publications: 

Encapsulation of vitamin C in triphosphate linked chitosan microspheres by spray drying. (2005, 175)

Susceptibility of 5-methyltetrahydrofolic acid to heat and microencapsulation to enhance its stability during extrusion processing. (2012, 102)

Encapsulation of folic acid and its stability in sodium alginate-pectin-poly(ethylene oxide) electrospun fibres. (2012, 85)

Ion pair-based dispersive liquid–liquid microextraction followed by high performance liquid chromatography as a new method for determining five folate derivatives in foodstuffs. (2015, 60)

Evaluation of spray drying microencapsulation for folic acid fortification of dried rice vermicelli (Khanom Jeen). (2018, 22)

Preliminary evaluation and studies on the preparation, characterization and in vitro release studies of different biopolymer microparticles for controlled release of folic acid. (2020, 11)

Evaluation of the efficiency of various folic acid microencapsulation techniques for rice vermicelli (Khanom Jeen) fortification. (2020, 1)

Ayaa Elbakri | Food Analysis | Young Scientist Award

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Ms. Ayaa Elbakri | Food Analysis | Young Scientist Award

Teaching Assistant at Mansoura University, Egypt

Ayaa Mohammed Elbakri is a Teaching Assistant at Mansoura University, specializing in analytical chemistry. She earned her bachelor’s degree in chemistry in 2022 with top honors and is currently pursuing a master’s degree. Her research focuses on eco-friendly analytical techniques for food analysis, emphasizing green chemistry and microextraction methods. She has published in high-impact journals, including Food Chemistry. Ayaa is a nominee for the International Food Scientist Young Scientist Award (2025) and is committed to advancing sustainable and precise food safety analysis.

Publications Profile

Google scholar

🎓 Education Details

  • Bachelor’s Degree in Chemistry, Mansoura University (2022) – Graduated with top honors (Excellent, GPA 3.83).

  • Master’s Degree in Analytical Chemistry, Mansoura University (Ongoing).

👩‍🔬 Professional Experience

  • Teaching Assistant, Mansoura University (2024–Present).

  • Assists in undergraduate chemistry courses and laboratory sessions.

  • Engages in research focused on analytical techniques for food composition and safety.

🌱 Research Interests

  • Food Analysis and Composition: Developing eco-friendly and efficient analytical techniques.

  • Green Analytical Chemistry: Implementing sustainable methods for detecting food contaminants.

  • Microextraction Techniques: Enhancing accuracy and precision in food sample analysis.

🏆 Awards and Honors

  • Nominee for the International Food Scientist Young Scientist Award (2025).

  • Published research in a high-impact Q1 journal (Food Chemistry).

🔍 Conclusion

Ayaa Mohammed Elbakri is a dedicated researcher in analytical chemistry, focusing on eco-friendly food analysis techniques. Through her work, she aims to improve food safety while minimizing environmental impact. Her research in green chemistry applications for food composition analysis demonstrates her commitment to sustainability, precision, and scientific innovation.

Publications 📚

1️⃣ Journal Article
📖 Title: Rapid ion pair-based surfactant-assisted liquid-liquid microextraction with solidification of floating organic drop for simultaneous spectrophotometric determination of selected anionic dyes in food samples.

 

 

 

 

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

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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