Literature DB >> 32151895

Distinguishing tissue origin of bovine gelatin in processed products using LC/MS technique in combination with chemometrics tools.

Behrooz Jannat1, Kazem Ghorbani2, Somaye Kouchaki3, Naficeh Sadeghi4, Ehsan Eslamifarsani5, Faride Rabbani6, Samira Beyramysoltan7.   

Abstract

Gelatin, as a by-product of the meat industry, is extracted from bone and skin of mainly bovine and porcine origins. It is used widely in the food, drug, and cosmetic industries. Authenticity testing methods can be used to confirm whether labelled ingredients are present in the product. Generally, studies on gelatin are concerned mainly with determining species, but detecting tissue origin is also important from religious, health, and commercial perspectives. In the present study, for the first time, liquid chromatography/mass spectrometry (HPLC/MS) was used to differentiate bovine bone gelatin from gelatin derived from bovine skin. Tryptic-digested gelatins were measured using HPLC/MS and, subsequently, two powerful chemometrics approaches (i.e., PCA and PLS-DA) were used to classify samples as either skin or bone gelatins. Origin of bovine gelatins in different test samples were predicted accurately using this method. The results showed both the stability and reliability of the proposed procedure.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Bovine bone gelatin; Bovine skin gelatin; Chemometrics; Classification; Gelatin; LC/MS data; Tissue origin

Mesh:

Substances:

Year:  2020        PMID: 32151895     DOI: 10.1016/j.foodchem.2020.126302

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  4 in total

1.  Rapid analysis to distinguish porcine and bovine gelatin using PANI/NiO nanoparticles modified Quartz Crystal Microbalance (QCM) sensor.

Authors:  Fredy Kurniawan; Ari Nugroho; Rangga Aji Baskara; Lourentia Candle; Diwasasri Pradini; Kartika A Madurani; Raden Djarot Sugiarso; Hendro Juwono
Journal:  Heliyon       Date:  2022-05-11

Review 2.  Possibilities of Liquid Chromatography Mass Spectrometry (LC-MS)-Based Metabolomics and Lipidomics in the Authentication of Meat Products: A Mini Review.

Authors:  Putri Widyanti Harlina; Vevi Maritha; Ida Musfiroh; Syamsul Huda; Nandi Sukri; Muchtaridi Muchtaridi
Journal:  Food Sci Anim Resour       Date:  2022-09-01

3.  To Estimate Performance of Artificial Neural Network Model Based on Terahertz Spectrum: Gelatin Identification as an Example.

Authors:  Yizhang Li; Lingyu Liu; Zhongmin Wang; Tianying Chang; Ke Li; Wenqing Xu; Yong Wu; Hua Yang; Daoli Jiang
Journal:  Front Nutr       Date:  2022-07-14

Review 4.  Food Phenotyping: Recording and Processing of Non-Targeted Liquid Chromatography Mass Spectrometry Data for Verifying Food Authenticity.

Authors:  Marina Creydt; Markus Fischer
Journal:  Molecules       Date:  2020-08-31       Impact factor: 4.411

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.