Employing NIR-SWIR hyperspectral imaging to predict the smokiness of Scotch whisky

Julius Tschannerl, Jinchang Ren, Frances Jack, Stephen Marshall, Huimin Zhao

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Abstract

Scotch Whisky makes a significant contribution to the UK's food and drinks export. The flavour of this high quality spirit is derived naturally from the whisky making process, with smoky aromas being a key character of certain Scotch whiskies. The level of smokiness is determined by the amount of phenolic compounds in the spirit. Phenols are introduced by exposing the barley malt to peat smoke during the kilning process. The current techniques to determine the levels of phenols, such as High Performance Liquid Chromatography (HPLC), are time consuming as they require distillation of the malt prior to analysis. To speed up this process and enable real-time detection before processing, the possibilities of Near-infrared to Short-wave-infrared (NIR-SWIR) Hyperspectral Imaging (HSI) to detect these phenols directly on malted barley are explored. It can be shown that via regression analysis, various levels of phenol concentration used as working levels for whisky production could be estimated to a satisfying degree. To further optimise industrial application, a hyperspectral band selection algorithm is applied that yields good results and reduces computational cost and may open possibilities to employ multispectral rather than hyperspectral cameras in future applications.
Original languageEnglish
Number of pages12
Publication statusPublished - 22 Mar 2017
EventOptical Characterization of Materials 2017 - Franhofer IOSB, Karlsruhe, Germany
Duration: 22 Mar 201723 Mar 2017
Conference number: 3
https://www.iosb.fraunhofer.de/servlet/is/66355/

Conference

ConferenceOptical Characterization of Materials 2017
Abbreviated titleOCM
CountryGermany
CityKarlsruhe
Period22/03/1723/03/17
Internet address

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Keywords

  • hyperspectral imaging
  • scotch whisky
  • near-infrared
  • band selection

Cite this

Tschannerl, J., Ren, J., Jack, F., Marshall, S., & Zhao, H. (2017). Employing NIR-SWIR hyperspectral imaging to predict the smokiness of Scotch whisky. Optical Characterization of Materials 2017, Karlsruhe, Germany.