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Infrared spectroscopy as a rapid tool to detect methylglyoxal and antibacterial activity in Australian honeys

Overview of attention for article published in Food Chemistry, September 2014
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Title
Infrared spectroscopy as a rapid tool to detect methylglyoxal and antibacterial activity in Australian honeys
Published in
Food Chemistry, September 2014
DOI 10.1016/j.foodchem.2014.09.067
Pubmed ID
Authors

Yasmina Sultanbawa, Daniel Cozzolino, Steve Fuller, Andrew Cusack, Margaret Currie, Heather Smyth

Abstract

Methylglyoxal (2-oxopropanal) is a compound known to contribute to the non-peroxide antimicrobial activity of honeys. The feasibility of using infrared spectroscopy as a predictive tool for honey antibacterial activity and methylglyoxal content was assessed. A linear relationship was found between methylglyoxal content (279-1755 mg/kg) in Leptospermum polygalifolium honeys and bacterial inhibition for Escherichiacoli (R(2) = 0.80) and Staphylococcusaureus (R(2) = 0.64). A good prediction of methylglyoxal (R(2) 0.75) content in honey was achieved using spectroscopic data from the mid infrared (MIR) range in combination with partial least squares regression. These results indicate that robust predictive equations could be developed using MIR for commercial application where the prediction of bacterial inhibition is needed to 'value' honeys with methylglyoxal contents in excess of 200mg/kg.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Student > Ph. D. Student 9 16%
Student > Bachelor 6 10%
Researcher 6 10%
Professor > Associate Professor 5 9%
Other 9 16%
Unknown 13 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 33%
Chemistry 7 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Veterinary Science and Veterinary Medicine 3 5%
Psychology 2 3%
Other 8 14%
Unknown 16 28%