השוואת שיטות

	ג'לטיניזציה ב-DSC	ניתוח תיאורי כמותי	ניתוח פרופיל מרקם
תחום	מדעי המזון	מדעי המזון	מדעי המזון
משפחה	Process / pipeline	Process / pipeline	Process / pipeline
שנת המקור	1985	1974	1968
הוגה השיטה	Multiple researchers	Herbert Stone	Malcolm Bourne
סוג	Thermodynamic Characterization	Descriptive Analysis Method	Mechanical Texture Method
מקור מכונן	Biliaderis, C. G. (1991). The structure and interactions of starch with food constituents. Canadian Journal of Physiology and Pharmacology, 69(1), 60-78.	Stone, H., Bleibaum, R. N., & Thomas, H. A. (2012). Sensory evaluation practices (4th ed.). Academic Press.	Bourne, M. C. (1968). Texture profile of foods. Journal of Food Science, 33(3), 280-283.
כינויים	DSC, differential scanning calorimetry	QDA	TPA
קשורות	3	3	3
תקציר	Differential Scanning Calorimetry (DSC) is a thermal analysis technique that measures the heat absorbed or released by a sample as temperature changes, enabling characterization of starch gelatinization—the structural transformation of starch granules when heated with water. DSC reveals the temperature at which starch swells, the energy required, and the range over which this occurs, providing insight into starch source, processing history, and ingredient interactions.	Quantitative Descriptive Analysis (QDA) is a comprehensive sensory evaluation method developed by Stone and colleagues in the 1970s that uses a trained panel to describe the intensity of sensory attributes in food products. QDA provides detailed, quantitative profiles of flavor, aroma, texture, and appearance, allowing researchers and product developers to characterize and compare products objectively.	Texture Profile Analysis (TPA) is an objective, mechanical method that simulates mastication (chewing) to measure the textural properties of food products. Developed by Bourne in 1968, TPA uses a texture analyzer (a machine that applies defined forces and movements to a sample) to generate a force-time curve from which multiple texture attributes (hardness, springiness, chewiness, cohesiveness, adhesiveness) are extracted and quantified.