Nathalie Przygodzki-Lionet | Food Safety | Best Researcher Award

Best Researcher Award

Nathalie Przygodzki-Lionet
University of Lille, France
Nathalie Przygodzki-Lionet
Affiliation University of Lille
Country France
Scopus ID 6507867701
Documents 21
Citations 98
h-index 6
Subject Area Food Safety and Quality Control
Event International Food Scientist Awards

Nathalie Przygodzki-Lionet is a researcher affiliated with the University of Lille, France, whose scholarly profile is associated with food safety and quality control. The supplied bibliometric information records 21 documents, 98 citations, and an h-index of 6 in Scopus. Her research profile can be considered within the broader scientific fields concerned with food safety, quality assessment, analytical methods, risk evaluation, and the protection of consumers across food systems.[1]

Abstract

This academic recognition profile presents the research background of Nathalie Przygodzki-Lionet, University of Lille, France. The supplied Scopus record identifies 21 documents, 98 citations, and an h-index of 6. Her research area is identified as Food Safety and Quality Control, a multidisciplinary field encompassing microbiological, chemical, analytical, regulatory, and quality-related aspects of food systems. Researcher identifiers such as Scopus Author ID and ORCID provide persistent mechanisms for scholarly identification and publication discovery.[1] [2]

Keywords

Food Safety, Food Quality, Quality Control, Food Analysis, Risk Assessment, Food Microbiology, Consumer Protection, Food Science, Research Impact, Bibliometrics.

Introduction

Food safety and quality control are important components of modern food science because they address the safety, consistency, authenticity, and suitability of food products. Research in this area may involve the detection and characterization of hazards, assessment of food quality, analytical validation, monitoring procedures, and development of methods supporting reliable food production. International research evaluation commonly combines publication records with citation-based indicators to describe scholarly activity.[3]

Research Profile

Przygodzki-Lionet is affiliated with the University of Lille in France. Her supplied academic profile identifies Food Safety and Quality Control as the principal subject area. The combination of publication activity and citation indicators provides a quantitative description of her indexed research presence, while the subject classification places the work within a field that connects food science, analytical research, public health, and quality assurance.[1]

  • Affiliation: University of Lille
  • Country: France
  • Scopus Documents: 21
  • Scopus Citations: 98
  • h-index: 6

Research Contributions

The research domain associated with this profile concerns scientific approaches to food safety and quality control. Such research can contribute to improved hazard identification, food-quality monitoring, analytical reliability, and evidence-based assessment of food products. The academic value of individual contributions is appropriately considered through the specific methodology, publication venue, collaboration, reproducibility, and relevance of each study rather than through bibliometric measures alone.[3]

Publications

The supplied Scopus information indicates 21 indexed documents associated with the researcher. These publications form the documented basis for evaluating research activity within the stated subject area. A complete publication assessment should consider article-level metadata, authorship, journal information, citation context, and persistent identifiers such as DOI records where available.[1]

  • Total indexed documents: 21
  • Total citations: 98
  • h-index: 6
  • Research domain: Food Safety and Quality Control

Research Impact

The supplied bibliometric indicators record 98 citations and an h-index of 6 across 21 documents. The h-index was introduced as a measure combining publication productivity and citation impact, although its interpretation varies across disciplines and career stages.[4] Citation counts likewise depend on publication age, field characteristics, collaboration patterns, and database coverage. Consequently, these metrics provide useful quantitative context but do not independently describe the full scientific value of a researcher’s work.

Award Suitability

For consideration under the Best Researcher Award at the International Food Scientist Awards, the supplied profile documents research activity in Food Safety and Quality Control, an established area of food-science research. The reported publication, citation, and h-index data provide quantitative evidence that can be considered alongside publication quality, originality, research methodology, collaboration, scientific relevance, and other nomination materials. Final award assessment should rely on the applicable evaluation criteria and independently verified evidence.

Conclusion

Nathalie Przygodzki-Lionet is associated with the University of Lille, France, with a documented research profile in Food Safety and Quality Control. The supplied Scopus information records 21 documents, 98 citations, and an h-index of 6. Her ORCID and Scopus identifiers provide persistent routes for scholarly identification. Together, these data establish a concise academic profile for consideration within the International Food Scientist Awards framework.

References

  1. Elsevier. (n.d.). Scopus author details: Nathalie Przygodzki-Lionet, Author ID 6507867701. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6507867701
  2. ORCID. (n.d.). Nathalie Przygodzki-Lionet: ORCID record 0000-0001-5387-6039. ORCID.
    https://orcid.org/0000-0001-5387-6039
  3. World Health Organization. Child Interviewing Practices: Effects of the Implementation of the NICHD Protocol Training in France.
    https://psycnet.apa.org/record/2025-98057-001
  4. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
    https://doi.org/10.1073/pnas.0507655102
  5. Acceptance and use of the NICHD child investigative interview protocol: Testing the unified theory of acceptance and use of technology (UTAUT).
    https://www.sciencedirect.com/org/science/article/abs/pii/S2009382924000444

Hamed Sardari | Food Safety | Best Researcher Award

Mr. Hamed Sardari | Food Safety | Best Researcher Award

Research Assistant at University of Tehran, Iran

Hamed Sardari is a dedicated researcher with expertise in food quality assessment, agricultural engineering, and food processing. He has made significant contributions to the fields of ultrasound-assisted freezing, machine vision in agriculture, and deep learning for food quality detection. His research has been published in reputable journals and presented at international congresses. With a strong background in mechanical engineering of biosystems, Hamed combines advanced computational techniques with engineering principles to enhance food safety and processing methods.

Publications Profile

Scopus

Orcid

Google Scholar

πŸŽ“ Education Details

  • M.Sc. in Mechanical Engineering of Biosystems, University of Tehran (Sep 2020 – Feb 2023)
    • GPA: 4.0/4.0 (19.58/20)
    • Thesis: Development and Optimization of an Ultrasound-Assisted Freezing System for Meat
    • Supervisors: Dr. Mahmoud Soltani Firouz, Dr. Soleiman Hosseinpour
  • B.Sc. in Mechanical Engineering of Biosystems, Shahid Chamran University of Ahvaz (Sep 2016 – Jul 2020)
    • GPA: 3.41/4.0 (16.48/20)
    • Supervisor: Dr. Abbas Asakereh

πŸ‘©β€πŸ”¬ Professional Experience

  • Research Assistant, University of Tehran (March 2023 – Present)
    • Specialized in laboratory techniques for food safety and agricultural product analysis.
  • Teaching Assistant, University of Tehran (Sep 2021 – April 2022)
    • Courses: Engineering Principles of Processing of Food and Agricultural Materials, Non-Destructive Tests in Agriculture
  • Teaching Assistant, Shahid Chamran University of Ahvaz (Sep 2017 – April 2019)
    • Courses: Computer Programming, Technical Drawings II

🌱 Research Interests

  • Food Quality Assessment
  • Agricultural Engineering
  • Food Processing

πŸ† Awards and Honors

  • Best Oral-Presentation Award, 15th National & 1st International Congress on Mechanical Engineering of Biosystems (Sep 2023)
  • Full-Tuition Waiver for M.Sc., University of Tehran (Sep 2020)
  • Full-Tuition Waiver for B.Sc., Shahid Chamran University of Ahvaz (Sep 2016)

πŸ” Conclusion

Hamed Sardari is an accomplished researcher and engineer with a passion for advancing food processing and agricultural engineering. His expertise in machine learning, deep learning, and mechatronics enhances his ability to develop innovative solutions for food quality assessment and safety. His academic achievements, research contributions, and professional experience reflect his commitment to excellence in biosystems engineering.

Publications πŸ“š

πŸ“„ Ultrasound Assisted Processing of Milk: Advances and Challenges
πŸ“š Journal of Food Process Engineering (June 2023)
πŸ”— DOI: 10.1111/jfpe.14173
πŸ‘₯ Authors: Mahmoud Soltani, Hamed Sardari, Mahsa Soofiabadi, Soleiman Hosseinpour
πŸ†” ISSN: 0145-8876, 1745-4530


πŸ“„ Defect Detection in Fruit and Vegetables by Using Machine Vision Systems and Image Processing
πŸ“š Food Engineering Reviews (September 2022)
πŸ”— DOI: 10.1007/s12393-022-09307-1
πŸ‘₯ Authors: Mahmoud Soltani, Hamed Sardari
πŸ†” ISSN: 1866-7910, 1866-7929


πŸ“„ Power Ultrasound in the Meat Industry (Freezing, Cooking, and Fermentation): Mechanisms, Advances, and Challenges
πŸ“š Ultrasonics Sonochemistry (May 2022)
πŸ”— DOI: 10.1016/j.ultsonch.2022.106027
πŸ‘₯ Authors: Mahmoud Soltani Firouz, Hamed Sardari, Peyman Alikhani Chamgordani, Maryam Behjati
πŸ†” ISSN: 1350-4177


 

 

 

Ming-li Chen | Food Safety | Women Researcher Award

Ms. Ming-li Chen | Food Safety | Women Researcher AwardΒ 

professor at Northeastern University, China

Ming-li Chen, Ph.D., is a professor and doctoral supervisor at Northeastern University of China. She serves as the director of the Analysis and Testing Centre and has been recognized in the “Million Talents Project” of Liaoning Province. With extensive experience in spectroscopy detection and mass spectrometry, her research primarily focuses on sample pretreatment and single-cell analysis. She has led multiple national research projects, published over 100 SCI-indexed papers, and holds seven patents. Her expertise and contributions have significantly advanced analytical chemistry and spectroscopy-based research methodologies.

Publications Profile

Scopus

Orcid

πŸŽ“ Education Details

  • Ph.D. in Analytical Chemistry, Northeastern University, China
  • Public Visiting Scholar, University of Texas at Arlington, USA (2011-2012)
  • Public Visiting Scholar, Lund University, Sweden (2023-2024)

πŸ‘©β€πŸ”¬ Professional Experience

  • Professor, Northeastern University, China
  • Director, Analysis and Testing Centre, Northeastern University
  • Editorial Board Member, Atomic Spectroscopy
  • Editorial Board Member, Chinese Chemical Letters
  • Editorial Board Member, Spectroscopy and Spectral Analysis
  • Consultant for major national research and innovation projects

🌱 Research Interests

  • Sample pretreatment theory
  • Spectroscopy detection technology
  • Spectroscopy and mass spectrometry in single-cell analysis
  • Element and morphology interaction in cellular environments
  • Exosome and vesicle separation and analysis

πŸ† Awards and Honors

  • “Million Talents Project” awardee, Liaoning Province
  • Principal Investigator of four National Natural Science Foundation of China (NSFC) projects
  • H-index: 16, with over 100 SCI-included research papers
  • Recognized expert in spectroscopy-based analytical chemistry

πŸ” Conclusion

Ming-li Chen is a distinguished researcher dedicated to advancing analytical chemistry, particularly in spectroscopy and single-cell analysis. Her extensive academic contributions, leadership in multiple national research initiatives, and editorial roles in high-impact journals underscore her expertise. Through groundbreaking research in spectroscopy detection and mass spectrometry applications, she has significantly influenced analytical methodologies. Her work continues to pave the way for innovations in single-cell analysis and metal component detection, making a lasting impact on scientific advancements and quality control in food safety and related fields.

Publications πŸ“š

πŸ“„ Article
🧬 Dual-Mode Tumor Diagnosis and Guided Precise Photodynamic Therapy Based on MicroRNA Fluorescence Signal Amplification and Magnetic Resonance Imaging
X. Zhang, Xinyue, J. Cui, Jiasen, M. Chen, Mingli, J. Wang, Jianhua
πŸ“š ACS Applied Materials and Interfaces, 2025


πŸ“„ Article
πŸ”¬ Ratio Type Nanoprobe with Boric Acid as Recognition Unit for Imaging Intracellular Hβ‚‚Oβ‚‚ with SERS
Y. Tian, Yizhuo, Y. Wei, Yujia, M. Zhang, Mingyu, M. Chen, Mingli, J. Wang, Jianhua
πŸ“š Talanta, 2025


πŸ“„ Article
🍏 Multifunctional Surface Enhanced Raman Scattering Substrate Fe₃Oβ‚„@AgNPs@MIL-101 for Pretreatment and Rapid Detection of Pesticide Residues on the Surface of Fruit Peels
M. Zhang, Mingyu, Y. Tian, Yizhuo, S. Liu, Sijia, X. Wang, Xinli, M. Chen, Mingli
πŸ“š Luminescence, 2025


πŸ“„ Article
πŸ’§ On-Site Determination of Aquatic Arsenic Using Hydride Generation Combined with Portable Absorbance Detector
L. Tang, Liming, Y. Tian, Yong, M. Chen, Mingli, C. Phillip Shelor, C.
πŸ“š Microchemical Journal, 2025


πŸ“„ Article
πŸ§ͺ Lanthanide-Assisted Function Tailoring of the HOF-Based Logic Gate Sensor Array for Biothiol Detection and Disease Discrimination
H. Li, Haiyan, X. Wang, Xin, Y. Chen, Yafei, J. Wang, Jianhua, M. Chen, Mingli
πŸ“š Analytical Chemistry, 2025


πŸ“„ Article
πŸ€– Machine Learning-Assisted Cell Identification Based on Ion Current Fingerprints of Single Cells at the Orifice of a Nanopipette
T. Gao, Tienan, X. He, Xiulan, Y. Xue, Yifei, P. Yu, Ping, L. Mao, Lanqun
πŸ“š CCS Chemistry, 2025


πŸ“„ Review
🧫 Strategies and Applications of Single Cell Proteomics Analysis Based on Mass Spectrometry
G. Li, Guoxing, X. Wei, Xing, M. Chen, Mingli, J. Wang, Jianhua
πŸ“š Journal of Instrumental Analysis, 2025


πŸ“„ Article
πŸ§‘β€βš•οΈ Speciation of Selenium-Containing Small Molecules in Urine and Cell Lysate by CE-ICPMS with In-Capillary Enrichment
Y. Lu, Yi, X. Men, Xue, C.X. Wu, Chengxin Xing, M. Chen, Mingli, J. Wang, Jianhua
πŸ“š Talanta, 2025


πŸ“„ Article
🦠 Inertial and Deterministic Lateral Displacement Integrated Microfluidic Chips for Epithelial-Mesenchymal Transition Analysis
Y. Zhao, Yanan, X. Zhang, Xuan, J. Bai, Junjie, M. Chen, Mingli, J. Wang, Jianhua
πŸ“š Analytical Chemistry, 2024