Impact of Food Service Cooking on the Yield and Fat Content of Commercial Ground Meats and a Plant-Based Meat Substitute

Acevedo-Estupinan M. V., BAYRAM İ., Alamed J., Cantele C., Patil V., Ebrahimi P., ...More

JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY, vol.102, no.9, pp.1319-1323, 2025 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 102 Issue: 9
  • Publication Date: 2025
  • Doi Number: 10.1002/aocs.12969
  • Journal Name: JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Agricultural & Environmental Science Database, Analytical Abstracts, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Business Source Elite, Business Source Premier, CAB Abstracts, Chemical Abstracts Core, Chimica, Compendex, Computer & Applied Sciences, Food Science & Technology Abstracts, INSPEC, Veterinary Science Database
  • Page Numbers: pp.1319-1323
  • Keywords: cooking loss, fat content, food service, ground meat, patties, plant-based meat substitute
  • Middle East Technical University Affiliated: Yes

Abstract

Collecting data on cooking yields of different food products is critical for accurately calculating food composition and nutritional changes after food processing. Ground meat is a good example of a food product that will undergo significant yield changes during cooking. This manuscript investigates yield changes as well as changes in fat and moisture content of ground beef, pork, chicken, turkey, and a plant-based meat product cooked in a food service facility. The findings demonstrated a strong relationship between the initial fat content of the meat and yield, with higher fat content resulting in decreased yield. It was also observed that in meats with lower fat content, moisture loss had a bigger impact on yield than fat loss. The findings of this study will help in the calculation of nutritional content of cooked meat and may help in the use of future technologies such as artificial intelligence to estimate the nutritional content of meats.