Bioeconomy Science Institute, AgResearch Group
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Quality assessment of New Zealand mānuka honey using hyperspectral imaging combined with deep learning

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posted on 2024-06-24, 02:02 authored by Hien Truong, Marlon Martins dos ReisMarlon Martins dos Reis, Pullanagari Reddy, Mahmoud Alsarayreh, Richard Archer
<ul> <li>New Zealand mānuka honey contains antibacterial and anti-inflammatory activities corresponding to MGO and Leptosperin, giving it value over traditional honeys.</li> <li>Quality is measured by UMF<sup>TM</sup> while purity depends on <em>Leptospermum scoparium</em> nectar content.</li> <li>Mono-floral is more valuable than multi-floral honey and value decreases when manuka honey is diluted with honeys from other nectar sources.</li> <li>Honey varies between and across all of regions, sites, apiaries, beehives and honey frames.</li> <li>Dilution may be by bee or by man. During extraction, rich and lean frames are lumped together.</li> <li>Quality assessment of honey in-frame could help prevent mixing of rich honey with lean.</li> <li>Current chromatography-based methods are too slow and expensive to evaluate frame by frame.</li> </ul><p></p>

History

Publication date

2022-06-16

Project number

  • PRJ0043377

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

AgResearch Ltd

Conference name

New Zealand Institute of Food Science & Technology Conference (NZIFST 2022)

Conference location

Rotorua, New Zealand

Conference start date

2022-07-05

Conference end date

2022-07-07

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