Development and Validation of a Plant-Based Cheese Analog Using Pulsed Electromagnetic Heating

Thesis Abstract

The rapid expansion of plant-based foods to address health, sustainability, and ethical concerns necessitates innovative processing technologies that can replicate the sensory and functional attributes of dairy cheese. This study addresses the gap in scalable, energy-efficient methods for producing plant-based cheese analogs with acceptable texture, meltability, and flavor while ensuring nutritional adequacy and consumer acceptability. The aim is to develop and validate a plant-based cheese analog utilizing pulsed electromagnetic heating (PEH) to optimize coagulation, microstructure, and consumer-perceived quality. Specific objectives include (1) formulating a cheese analog base from almond milk, coconut oil, and pea protein concentrate to achieve comparable fat- and protein-content to conventional cheese, (2) optimizing PEH parameters (frequency, pulse width, duty cycle, and treatment time) to modulate fat globule emulsification, protein network formation, and moisture retention, (3) characterizing physicochemical and rheological properties pre- and post-PEH using oscillatory rheology, differential scanning calorimetry (DSC), low-field nuclear magnetic resonance (LF-NMR), and texture profile analysis (TPA), (4) evaluating meltability and sliceability using a standard heating stage coupled with image analysis, (5) assessing sensory acceptance with a 120-member consumer panel across trained and semi-trained subgroups, and (6) conducting a preliminary shelf-life assessment under accelerated storage conditions. The research adopts a mixed-methods design, integrating experimental optimization with quantitative and qualitative assessments. The population comprises commercially available plant-based bases and dairy-free cheeses as benchmarks, with a sample of 40 formulation variants subjected to PEH-based processing. Data collection instruments include rheometers, DSC, LF-NMR, colorimeter, texture analyzer, differential scanning calorimeter, high-performance liquid chromatography (HPLC) for lipid profiling, gas chromatography for fatty acid composition, sensory hedonic scales, and semi-structured interviews for consumer feedback. Validity and reliability are ensured through randomized experimental runs (n=3 per variant), calibration curves for instrumental analyses, inter-rater reliability checks for sensory data, and pilot testing (n=10) to refine PEH parameters. Data analysis employs multivariate regression to relate PEH settings to textural and melting indices, ANOVA to compare formulation groups, principal component analysis (PCA) to interpret rheopectic behavior and microstructural differences, and thematic analysis for qualitative consumer insights. A conceptual model integrating PEH-impacted physicochemical properties with sensory outcomes guides interpretation. The expected findings anticipate that optimized PEH conditions will produce a viscoelastic cheese analog with a cohesive protein-fat network, reduced syneresis, improved melt behavior, and stable slice integrity under heating, while maintaining sensory likeness to dairy cheese within an acceptable deviation margin of ±15% on sensory attributes. The study aims to demonstrate that PEH can be a scalable, energy-efficient approach to tailor microstructure and functional properties in plant-based cheese analogs, contributing to knowledge on process-structure-function relationships in novel food matrices. The theoretical contribution aligns with colloidal science and food texture frameworks, particularly aligning with the protein-water-fat interaction theory and the phase-transition concept in gel networks, augmented by consumer acceptance theory for novel foods. Practical implications include a validated PEH protocol, a robust dataset linking processing parameters to quality attributes, and a set of recommended formulations that balance nutrition, sustainability, and sensory performance. The main conclusion envisaged is that PEH-enabled processing enables reproducible production of plant-based cheese analogs with improved textural fidelity and consumer acceptability compared with conventional extrusion-only approaches. Recommendations center on refining PEH parameter windows for different plant bases, scaling from laboratory to pilot plant, and extending shelf-life studies under real-time storage conditions, along with exploring economic feasibility and environmental impact assessments of PEH-assisted cheese production.