Akinbode Adedeji

Associate Professor

University of Kentucky

United States

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Dr. Akinbode Adedeji serves as an Associate Professor at the University of Kentucky, USA. His research areas include gluten-free food technology, molecular dynamics modeling, and the application of machine learning in food processing. He has contributed significantly to the understanding of rheological properties, gelation characteristics, and the use of advanced imaging techniques in food quality assessment.

Articles (18)

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2025

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2023

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2022

Collaborators (4)

Youling Xiong

Professor

University of Kentucky

UNITED STATES

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Michael Joseph

Assistant Professor and Extension Specialist

North Carolina State University

UNITED STATES

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Ahmed M. Rady

University of Nottingham

UNITED KINGDOM

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Sajid Alavi

UNITED STATES

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Akinbode Adedeji

Research Interests

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About

Articles (18)

Rheological, Baking, and Microstructural Properties of Proso Millet‐Hydrocolloid‐Based Gluten‐Free Bread

A molecular dynamic modeling and in silico analysis approach to three-dimensional structure of glutelin type-B 5-like proteins from proso millet: effects of temperature and electric field

Evaluation of the Gelation Characteristics and Printability of Edible Filamentous Fungi Flours and Protein Extracts

Characterization of Extruded Sorghum-Soy Blends to Develop Pre-Cooked and Nutritionally Dense Fortified Blended Foods

A Review of IoT Applications in Food Processing and Related Fields

Adaptation of Conventional Wheat Flour Mill to Refine Sorghum, Corn, and Cowpea

Hyperspectral Imaging and Machine Learning as a Nondestructive Method for Proso Millet Seed Detection and Classification

The Magnitude and Impact of Food Allergens and the Potential of AI-Based Non-Destructive Testing Methods in Their Detection and Quantification

Effect of Whey Protein Concentrate on Rheological Properties of Gluten-Free Doughs and Their Performance in Cookie Applications

Utilization of FTIR and Machine Learning for Evaluating Gluten-Free Bread Contaminated with Wheat Flour

Non-Destructive Hyperspectral Imaging and Machine Learning-Based Predictive Models for Physicochemical Quality Attributes of Apples during Storage as Affected by Codling Moth Infestation

Classification of Codling Moth-Infested Apples Using Sensor Data Fusion of Acoustic and Hyperspectral Features Coupled with Machine Learning

Correction: Effects of High-power Ultrasound on the in vitro digestibility, Physicochemical and Functional Properties of Proso Millet Prolamin and Glutelin Proteins

Molecular dynamic (in silico) modeling of structure–function of glutelin type-B 5-like from proso millet storage protein: effects of temperature and pressure

Effects of High-power Ultrasound on the in vitro digestibility, Physicochemical and Functional Properties of Proso Millet Prolamin and Glutelin Proteins

Tiger Nut (Cyperus esculentus L.) oil quality evaluation as affected by variety and processing conditions

Trends in millet and pseudomillet proteins - Characterization, processing and food applications

Non-destructive detection of codling moth infestation in apples using acoustic impulse response signals

Collaborators (4)

Youling Xiong

Michael Joseph

Ahmed M. Rady

Sajid Alavi

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