Published in

Elsevier, Talanta, 3(83), p. 857-864

DOI: 10.1016/j.talanta.2010.10.032

Links

Tools

Export citation

Search in Google Scholar

An electronic tongue for gliadins semi-quantitative detection in foodstuffs

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Red circle
Postprint: archiving forbidden
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

An all-solid-state potentiometric electronic tongue with 36 polymeric membranes has been used forthe first time to detect gliadins, which are primarily responsible for gluten intolerance in people sufferingfrom celiac disease. A linear discriminant model, based on the signals of 11 polymeric membranes,selected from the 36 above using a stepwise procedure, was used to semi-quantitatively classify samplesof a "Gluten-free" foodstuff (baby milked flour), previously contaminated withknownamounts of gliadins(lt;10, 2050 or >50 mg/kg), as "Gluten-free", "Low-Gluten content" or "Gluten-containing". For this foodmatrix, the device had sensitivity towards gliadins of 12 mg/kg and overall sensitivity and specificity of77% and 78%, respectively. Moreover, the device never identified an ethanolic extract containing gliadinsas "Gluten-free". Finally, the system also allowed distinguishing "Gluten-free" and "Gluten-containing"foodstuffs (15 foods, including breads, flours, baby milked flours, cookies and breakfast cereals) withan overall sensitivity and specificity greater than 83%, using the signals of only 4 selected polymericmembranes (selected using a stepwise procedure). Since only one "Gluten-containing" foodstuff wasmisclassified as "Gluten-free", the device could be used as a preliminary tool for quality control of foodsfor celiac patients.