Amir Pourmoradian, Alireza Mohammadi, Mohsen Barzegar
{"title":"Recent applications of DSC and TGA in food quality control and authenticity verification: Current progress and future directions","authors":"Amir Pourmoradian, Alireza Mohammadi, Mohsen Barzegar","doi":"10.1016/j.fochx.2026.104587","DOIUrl":null,"url":null,"abstract":"<div><div>The increasing complexity of food supply chains and rising consumer demand for transparency underscore the need for rapid, reliable, and cost-effective approaches to food quality control and authenticity assessment. Conventional analytical techniques, including chromatography and spectroscopy, offer high accuracy but involve time, labor, and cost. Thermal analysis (TA), particularly Differential Scanning Calorimetry (DSC) and Thermogravimetric Analysis (TGA), has emerged as an environmentally sustainable alternative. This review investigates recent advances in TA for food authentication, focusing on its principles and applications across food matrices, including edible oils, dairy products, honey, and meat. Thermal fingerprints generated by DSC and TGA provide indicators of compositional and structural changes, enabling evaluation of authenticity, thermal stability, oxidation, crystallization behavior, and shelf life. Integration with chemometric and machine learning approaches enhances adulteration detection, even at low levels. However, standardized protocols, thermal databases, and regulatory acceptance remain essential for widespread adoption.</div></div>","PeriodicalId":12334,"journal":{"name":"Food Chemistry: X","volume":"39 ","pages":"Article 104587"},"PeriodicalIF":9.2000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Chemistry: X","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590157526011089","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/10/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
The increasing complexity of food supply chains and rising consumer demand for transparency underscore the need for rapid, reliable, and cost-effective approaches to food quality control and authenticity assessment. Conventional analytical techniques, including chromatography and spectroscopy, offer high accuracy but involve time, labor, and cost. Thermal analysis (TA), particularly Differential Scanning Calorimetry (DSC) and Thermogravimetric Analysis (TGA), has emerged as an environmentally sustainable alternative. This review investigates recent advances in TA for food authentication, focusing on its principles and applications across food matrices, including edible oils, dairy products, honey, and meat. Thermal fingerprints generated by DSC and TGA provide indicators of compositional and structural changes, enabling evaluation of authenticity, thermal stability, oxidation, crystallization behavior, and shelf life. Integration with chemometric and machine learning approaches enhances adulteration detection, even at low levels. However, standardized protocols, thermal databases, and regulatory acceptance remain essential for widespread adoption.
期刊介绍:
Food Chemistry: X, one of three Open Access companion journals to Food Chemistry, follows the same aims, scope, and peer-review process. It focuses on papers advancing food and biochemistry or analytical methods, prioritizing research novelty. Manuscript evaluation considers novelty, scientific rigor, field advancement, and reader interest. Excluded are studies on food molecular sciences or disease cure/prevention. Topics include food component chemistry, bioactives, processing effects, additives, contaminants, and analytical methods. The journal welcome Analytical Papers addressing food microbiology, sensory aspects, and more, emphasizing new methods with robust validation and applicability to diverse foods or regions.