Comparative Evaluation of Web Page and Label Presentation for Imported Seafood Products Sold on Chinese e-Commerce Platform and Molecular Identification Using DNA Barcoding.
Clicks: 458
ID: 92873
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
458 views
45 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #7 of 59 articles by views in Journal of food protection
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
With the expansion of e-commerce, an increasing number of Chinese consumers are turning to online markets to purchase foreign seafood. When buying seafood online, customers cannot physically evaluate the product, and the market Web page instead of the seafood label conveys all of the product information. However, specific regulations concerning the information presented on the Web page have not been created, which may foster seafood fraud and misdescription. Because mislabeling of seafood has become a widely reported issue in the Chinese offline market, the online scenario must be investigated comprehensively. This study focused on various seafood products that originated from 20 countries and were sold by one of the largest e-commerce companies in China. For each country, only the product with the greatest overall monthly transaction volume was selected, and 5 samples were purchased per product for a total of 100 samples. The Web page description (including the heading of the Web page and the description of the commodity) and the label of the received products were compared to evaluate the description consistency. DNA barcoding technology was used for seafood species identification, and the scientific names retrieved from the sequence analysis after consulting the Barcode of Life Data systems and GenBank were compared with the expected species, genus, and family to determine the description authenticity. Only 25% of the samples had consistent descriptions on the Web page and on the label of the received product. Most of the inconsistency originated from the geographical origin, and only four products (G10, G50, G19, and G69) had inconsistent species, genus, and family descriptions. Molecular analysis revealed that in 65% of samples the species was correctly described. The online seafood market presents challenges regarding seafood fraud and opportunities for seafood species substitution.
| Reference Key |
xiong2020comparativejournal
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Xiong, Xiong;Yuan, Fangying;Huang, Manhong;Cao, Min;Xiong, Xiaohui; |
| Journal | Journal of food protection |
| Year | 2020 |
| DOI |
10.4315/0362-028X.JFP-19-309
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.