| Title: |
Rapid Discrimination and Authentication of Korean Farmstead Mozzarella Cheese through MALDI-TOF and Multivariate Statistical Analysis |
| Authors: |
Sujatha Kandasamy, Jayeon Yoo, Jeonghee Yun, Han-Byul Kang, Kuk-Hwan Seol, Jun-Sang Ham |
| Source: |
Metabolites, Vol 11, Iss 6, p 333 (2021) |
| Publisher Information: |
MDPI AG, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Microbiology |
| Subject Terms: |
domestic cheeses, mass spectrometry, geographical origin, protein fingerprints, cheese authentication, Microbiology, QR1-502 |
| More Details: |
Geographical origin and authenticity are the two crucial factors that propel overall cheese perception in terms of quality and price; therefore, they are of great importance to consumers and commercial cheese producers. Herein, we demonstrate a rapid, accurate method for discrimination of domestic and import mozzarella cheeses in the Republic of Korea by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). The protein profiles’ data aided by multivariate statistical analysis successfully differentiated farmstead and import mozzarella cheeses according to their geographical location of origin. A similar investigation within domestic samples (farmsteads/companies) also showed clear discrimination regarding the producer. Using the biomarker discovery tool, we identified seven distinct proteins, of which two (m/z 7407.8 and 11,416.6) were specific in farmstead cheeses, acting as potential markers to ensure authentication and traceability. The outcome of this study can be a good resource in building a database for Korean domestic cheeses. This study also emphasizes the combined utility of MALDI-TOF MS and multivariate analysis in preventing fraudulent practices, thereby ensuring market protection for Korean farmstead cheeses. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2218-1989 |
| Relation: |
https://www.mdpi.com/2218-1989/11/6/333; https://doaj.org/toc/2218-1989 |
| DOI: |
10.3390/metabo11060333 |
| Access URL: |
https://doaj.org/article/caf49aafc6494b628c44b021e7e4156c |
| Accession Number: |
edsdoj.f49aafc6494b628c44b021e7e4156c |
| Database: |
Directory of Open Access Journals |
