Jeyamkondan Subbiah Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

University of Arkansas at Fayetteville

faculty

41 h-index 199 pubs 5,343 cited

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Biography and Research Information

OverviewAI-generated summary

Jeyamkondan Subbiah's research focuses on food safety and processing technologies, particularly concerning low-moisture foods and the inactivation of microbial contaminants. His work has investigated the efficacy of various methods, including radio frequency heating and gaseous chlorine dioxide, for pasteurizing products such as dried basil leaves and inshell hazelnuts. Subbiah has also studied the use of surrogate microorganisms, like Enterococcus faecium NRRL B-2354, to validate thermal treatments for controlling pathogens like Salmonella in food products with varying water activities.

His research group at the University of Arkansas at Fayetteville engages in interdisciplinary collaboration, as evidenced by shared publications with colleagues such as Surabhi Wason, Terry Howell, N.A. Nanje Gowda, and Chaitanya Pallerla. Subbiah's scholarship is characterized by a significant body of work, indicated by 199 total publications and over 5,300 citations, contributing to his h-index of 41. This extensive output has led to his designation as a highly cited researcher.

Further research interests include the extraction of bioactive compounds from millets using novel and green-assisted techniques, and a comprehensive review of the physiochemical, bio, thermal, and non-thermal processing of millets, with an emphasis on their antinutritional and antioxidant properties. These studies highlight an interest in both food safety interventions and the nutritional enhancement of agricultural products.

Metrics

  • h-index: 41
  • Publications: 199
  • Citations: 5,343

Selected Publications

  • Thermal imaging-guided detection of transparent plastic contaminants on chicken breast: A combined vision and simulation approach (2025) DOI
  • Pore-scale modeling of antimicrobial gas flow in a bed of low-moisture food (2025) DOI
  • Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition (2025) DOI
  • Predictive Model for Listeria monocytogenes in RTE Meats Using Exclusive Food Matrix Data (2024) DOI
  • Physiochemical, Bio, Thermal, and Non-Thermal Processing of Major and Minor Millets: A Comprehensive Review on Antinutritional and Antioxidant Properties (2024) DOI
  • Effects of relative humidity on dry-aged beef quality (2024) DOI
  • Red Cabbage Juice-Mediated Gut Microbiota Modulation Improves Intestinal Epithelial Homeostasis and Ameliorates Colitis (2023) DOI
  • Red cabbage juice-mediated gut microbiota modulation improves intestinal epithelial homeostasis and ameliorates colitis (2023) DOI
  • Radiofrequency Pasteurization of Black Peppercorns Using In-Package Steaming (2023) DOI

Collaborators

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