Combined use of fatty acid profile and fatty acid δ13C fingerprinting for origin traceability of scallops (Patinopecten yessoensis, Chlamys farreri, and Argopecten irradians). (15th November 2019)
- Record Type:
- Journal Article
- Title:
- Combined use of fatty acid profile and fatty acid δ13C fingerprinting for origin traceability of scallops (Patinopecten yessoensis, Chlamys farreri, and Argopecten irradians). (15th November 2019)
- Main Title:
- Combined use of fatty acid profile and fatty acid δ13C fingerprinting for origin traceability of scallops (Patinopecten yessoensis, Chlamys farreri, and Argopecten irradians)
- Authors:
- Zhang, Xufeng
Han, Deming
Chen, Xiaojia
Zhao, Xinda
Cheng, Jinping
Liu, Yu - Abstract:
- Highlights: 300 training samples and 75 testing samples from seven sites in China were collected. The combination of fatty acid profile and fatty acid δ 13 C fingerprinting was performed. The combination of these two methods enhanced the prediction capability (100%). The combination of two methods can be a promising tool for traceability of scallops. Abstract: The aim of this study was to evaluate the combination of fatty acid profile and fatty acid δ 13 C fingerprinting to identify the origins of scallops. Fatty acid contents, as well as fatty acid δ 13 C values of 300 samples of three scallop species ( Patinopecten yessoensis, Chlamys farreri, and Argopecten irradians ) from seven sites in China were determined. Principal component analysis was performed on datasets to evaluate their performance of classification. Moreover, 75 samples were tested by discrimination analysis to estimate the accuracy of origin prediction. The results show that the accuracy rate of fatty acid profile and fatty acid δ 13 C fingerprinting for origin prediction was 92% and 85.3%, respectively. The combination of these two methods improved the identification, with an accuracy rate of 100.0%. These results indicate that the combination of fatty acid profile and fatty acid δ 13 C fingerprinting can be a precise and promising tool for origin traceability of scallops.
- Is Part Of:
- Food chemistry. Volume 298(2019)
- Journal:
- Food chemistry
- Issue:
- Volume 298(2019)
- Issue Display:
- Volume 298, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 298
- Issue:
- 2019
- Issue Sort Value:
- 2019-0298-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-11-15
- Subjects:
- Bivalve -- Fatty acid profile -- Fatty acid δ13C fingerprinting -- CSIA -- Traceability -- Authentication -- GC-C-IRMS -- Food quality
Food -- Analysis -- Periodicals
Food -- Composition -- Periodicals
664 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03088146 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.foodchem.2019.124966 ↗
- Languages:
- English
- ISSNs:
- 0308-8146
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3977.284000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11163.xml