Application of real-time PCR for tree nut allergen detection in processed foods.
Clicks: 393
ID: 42955
2019
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
66.4
/100
393 views
258 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #5 of 151 articles by views in critical reviews in food science and nutrition
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 151 in total.
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
Currently, food allergies are an important health concern worldwide. The presence of undeclared allergenic ingredients or the presence of traces of allergens due to accidental contamination during food processing poses a great health risk to sensitized individuals. Therefore, reliable analytical methods are required to detect and identify allergenic ingredients in food products. Real-time PCR allowed a specific and accurate amplification of allergen sequences. Some processing methods could induce the fragmentation and/or degradation of genomic DNA and some studies have been performed to analyze the effect of processing on the detection of different targets, as thermal treatment, with and without applying pressure. In this review, we give an updated overview of the applications of real-time PCR for the detection of allergens of tree nut in processed food products. The different variables that contribute to the performance of PCR methodology for allergen detection are also review and discussed.
| Reference Key |
linacero2019applicationcritical
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Linacero, Rosario;Sanchiz, Africa;Ballesteros, Isabel;Cuadrado, Carmen; |
| Journal | critical reviews in food science and nutrition |
| Year | 2019 |
| DOI |
10.1080/10408398.2018.1557103
|
| 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.