The formation of taste in fast-food and bakery products is governed by complex physicochemical transformations of carbohydrates, proteins, lipids, water, and minor bioactive compounds during formulation and thermal processing. This study presents a systematic, process-engineering–based framework for rational taste design, integrating ingredient composition, reaction kinetics, mass-transfer phenomena, and human sensory perception. Rather than attributing taste to speculative intrinsic “frequencies” or undefined pigments, the proposed model explains flavor emergence through well-established molecular mechanisms including Maillard reactions, Strecker degradation, caramelization, lipid oxidation, esterification, and volatile compound partitioning. Quantitative analysis indicates that more than 70–85% of characteristic aroma compounds in baked and fried foods originate from Maillard-derived heterocyclic molecules (pyrazines, furans, thiophenes) and lipid-derived aldehydes and ketones, while sweetness, bitterness, saltiness, sourness, and umami are determined by the molar concentrations of sugars, organic acids, sodium salts, alkaloids, and amino acids at sensory-relevant thresholds (10⁻⁶–10⁻³ mol·L⁻¹). Thermal regimes between 140–200 °C accelerate non-enzymatic browning reactions by factors of 10–40 relative to room temperature kinetics, while moisture content (5–15% in biscuits; 25–40% in bakery doughs) critically modulates reaction pathways and volatile retention. The framework formalizes taste generation as a coupled system: T=f(Ci,Rk,Pj,Sh) where Ci represents ingredient concentrations and ratios, Rk denotes dominant chemical reaction networks, Pj describes processing parameters (temperature, time, shear rate, water activity, pH, oxygen exposure), and Sh accounts for human sensory transduction and perceptual integration. Experimental and industrial data demonstrate that controlled variation of sugar-to-amino-acid ratio (0.8–1.5), lipid composition (saturated vs. unsaturated fraction), pH (5.5–7.5), and thermal profile can reproducibly generate distinct flavor signatures without introducing artificial additives. The model enables predictive design of novel taste profiles for biscuits, fried snacks, beverages, and bakery products through computational formulation optimization and process control strategies. This work establishes taste as an emergent, engineerable property arising from molecular transformations and sensory physiology, providing a reproducible scientific basis for flavor innovation, product differentiation, and quality control in modern food manufacturing...... Please check the attachment for details