American Journal of Analytical Chemistry

Volume 12, Issue 5 (May 2021)

ISSN Print: 2156-8251   ISSN Online: 2156-8278

Google-based Impact Factor: 1.71  Citations  h5-index & Ranking

Extraction of Fat and Fatty Acid Composition from Slaughterhouse Waste by Evaluating Conventional Analytical Methods

HTML  XML Download Download as PDF (Size: 845KB)  PP. 202-225  
DOI: 10.4236/ajac.2021.125013    799 Downloads   8,334 Views  Citations

ABSTRACT

To attain maximum recovery of useful compounds from slaughterhouse waste (Suet, Tongue, Pancreas) of selected ruminant (cow, goat, lamb, and bull), the fat extraction efficiency of popular methods was compared along with fatty acid (FAs) composition. Four selected methods including Soxhlet (SOX), acid hydrolysis, Bligh & dyer (B&D), and Folch (FOL) were assessed. After methylation, extracted lipids were analyzed by Gas chromatography for FA composition. Data indicated that all selected methods were significantly (p < 0.05) different from each other, particularly higher differences were noticed for low lipid-containing products (Tongue, Pancreas) as well as their respective FA Composition. Based on Analysis of Variance and Principal component analysis, the effective method for lipid and FA Composition analysis was the FOL method. The Soxhlet method was only effective for samples with high-fat content i.e., suet, while the B&D method gave comparatively low lipid content in analyzed samples. Hence based on the results, excellent fat and fatty acid extraction was achieved with the FOL method.

Share and Cite:

Khan, A. , Talpur, F. , Bhanger, M. , Musharraf, S. and Afridi, H. (2021) Extraction of Fat and Fatty Acid Composition from Slaughterhouse Waste by Evaluating Conventional Analytical Methods. American Journal of Analytical Chemistry, 12, 202-225. doi: 10.4236/ajac.2021.125013.

Cited by

[1] Fat Extraction from Food Industry Waste
Food Processing Waste and Utilization, 2022

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.