Linked Life Data

20155533

Source:http://linkedlifedata.com/resource/pubmed/id/20155533

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2010-5-10
pubmed:abstractText
The problems associated with mycotoxin contamination of foods and feeds are well established and, in many cases, have been known for a long time. Consequently, the techniques for detecting known mycotoxins are quite advanced and range from methods for directly detecting the toxins themselves, based upon physical characteristics of the toxins, to methods for indirectly detecting the toxins, such as immunoassays. This review focuses on recent technologies that can be used to detect mycotoxins and, as such, is not a comprehensive review of the mycotoxin analytical literature. Rather, the intent is to survey the range of technologies from those that are instrument intensive such as modern chromatographic methods to those that require no instrumentation, such as certain immunoassays and biosensors. In particular, mass spectrometric techniques using ambient ionization offer the intriguing possibility of non-destructive sampling and detection. The potential application of one such technique, desorption electrospray ionization (DESI), is demonstrated for fumonisin B(1) on maize. While methods for detecting mycotoxins are quite advanced, the need remains for assays with increased throughput, for the exploration of novel detection technologies, and for the comprehensive validation of such technologies as they continue to be developed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1944-0057
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
27
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
688-700
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Rapid and advanced tools for mycotoxin analysis: a review.
pubmed:affiliation
Bacterial Foodborne Pathogens and Mycology Research Unit, USDA-ARS-NCAUR, Peoria, IL 61604, USA. chris.maragos@ars.usda.gov
pubmed:publicationType
Journal Article, Comparative Study, Review