Infrared spectroscopy as a rapid tool to detect methylglyoxal and antibacterial activity in Australian honeys
•A linear relationship found for methylglyoxal(MGO) and bacterial inhibition in honey.•Good prediction models using MIR spectral data of honey for both MGO and inhibition.•MIR spectroscopy shows promise as a technique to predict bacterial inhibition. Methylglyoxal (2-oxopropanal) is a compound known...
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Published in | Food chemistry Vol. 172; pp. 207 - 212 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.04.2015
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Abstract | •A linear relationship found for methylglyoxal(MGO) and bacterial inhibition in honey.•Good prediction models using MIR spectral data of honey for both MGO and inhibition.•MIR spectroscopy shows promise as a technique to predict bacterial inhibition.
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 (279–1755mg/kg) in Leptospermum polygalifolium honeys and bacterial inhibition for Escherichiacoli (R2=0.80) and Staphylococcusaureus (R2=0.64). A good prediction of methylglyoxal (R2 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. |
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AbstractList | 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. 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 super(2) = 0.80) and Staphylococcusaureus (R super(2) = 0.64). A good prediction of methylglyoxal (R super(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 200 mg/kg. •A linear relationship found for methylglyoxal(MGO) and bacterial inhibition in honey.•Good prediction models using MIR spectral data of honey for both MGO and inhibition.•MIR spectroscopy shows promise as a technique to predict bacterial inhibition. 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 (279–1755mg/kg) in Leptospermum polygalifolium honeys and bacterial inhibition for Escherichiacoli (R2=0.80) and Staphylococcusaureus (R2=0.64). A good prediction of methylglyoxal (R2 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. |
Author | Cozzolino, Daniel Fuller, Steve Currie, Margaret Sultanbawa, Yasmina Cusack, Andrew Smyth, Heather |
Author_xml | – sequence: 1 givenname: Yasmina surname: Sultanbawa fullname: Sultanbawa, Yasmina email: y.sultanbawa@uq.edu.au organization: Centre for Nutrition and Food Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Australia – sequence: 2 givenname: Daniel surname: Cozzolino fullname: Cozzolino, Daniel organization: School of Agriculture, Food and Wine, The University of Adelaide, Australia – sequence: 3 givenname: Steve surname: Fuller fullname: Fuller, Steve organization: Innovative Food Solutions and Technology, Department of Agriculture, Fisheries and Forestry, Queensland, Australia – sequence: 4 givenname: Andrew surname: Cusack fullname: Cusack, Andrew organization: Innovative Food Solutions and Technology, Department of Agriculture, Fisheries and Forestry, Queensland, Australia – sequence: 5 givenname: Margaret surname: Currie fullname: Currie, Margaret organization: Innovative Food Solutions and Technology, Department of Agriculture, Fisheries and Forestry, Queensland, Australia – sequence: 6 givenname: Heather surname: Smyth fullname: Smyth, Heather organization: Centre for Nutrition and Food Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Australia |
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contributor: fullname: Shah – volume: 18 start-page: 1 issue: 2 year: 1998 ident: 10.1016/j.foodchem.2014.09.067_b0030 article-title: Therapeutic properties of New Zealand and Australian tea trees (Leptospermum and Melaleuca) publication-title: New Zealand Pharmacy contributor: fullname: Carr – volume: 343 start-page: 651 issue: 4 year: 2008 ident: 10.1016/j.foodchem.2014.09.067_b0005 article-title: Isolation by HPLC and characterisation of the bioactive fraction of New Zealand manuka (Leptospermum scoparium) honey publication-title: Carbohydrate Research doi: 10.1016/j.carres.2007.12.011 contributor: fullname: Adams – volume: 344 start-page: 1050 issue: 8 year: 2009 ident: 10.1016/j.foodchem.2014.09.067_b0010 article-title: The origin of methylglyoxal in New Zealand manuka (Leptospermum scoparium) honey publication-title: Carbohydrate Research doi: 10.1016/j.carres.2009.03.020 contributor: fullname: Adams – volume: 43 start-page: 369 issue: 1 year: 2010 ident: 10.1016/j.foodchem.2014.09.067_b0100 article-title: Application of near (NIR) infrared and mid (MIR) infrared spectroscopy as a rapid tool to classify extra virgin olive oil on the basis of fruity attribute intensity publication-title: Food Research International doi: 10.1016/j.foodres.2009.10.008 contributor: fullname: Sinelli – volume: 227 start-page: 579 issue: 2 year: 2008 ident: 10.1016/j.foodchem.2014.09.067_b0050 article-title: Determination of the botanical origin of honey by Fourier-transformed infrared spectroscopy: An approach for routine analysis publication-title: European Food Research and Technology doi: 10.1007/s00217-007-0759-9 contributor: fullname: Etzold – year: 2002 ident: 10.1016/j.foodchem.2014.09.067_b0085 contributor: fullname: Naes – volume: 101 start-page: 1565 issue: 4 year: 2007 ident: 10.1016/j.foodchem.2014.09.067_b0025 article-title: Classification of Italian honeys by mid-infrared diffuse reflectance spectroscopy (DRIFTS) publication-title: Food 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Snippet | •A linear relationship found for methylglyoxal(MGO) and bacterial inhibition in honey.•Good prediction models using MIR spectral data of honey for both MGO and... Methylglyoxal (2-oxopropanal) is a compound known to contribute to the non-peroxide antimicrobial activity of honeys. The feasibility of using infrared... |
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SubjectTerms | Anti-Bacterial Agents - pharmacology Antibacterial activity Australia Honey Honey - analysis Infrared spectroscopy Leptospermum Methylglyoxal Pyruvaldehyde - analysis Pyruvaldehyde - pharmacology Spectrophotometry, Infrared |
Title | Infrared spectroscopy as a rapid tool to detect methylglyoxal and antibacterial activity in Australian honeys |
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