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Evaluating a novel application of optical fibre evanescent field absorbance: Rapid measurement of red 'colour' in winegrape homogenates

Peter Lye, Ronald Bradbury, David Lamb

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Silica optical fibres were used to measure colour (mg anthocyanin/g fresh berry weight) in samples of red wine grape homogenates via optical Fibre Evanescent Field Absorbance (FEFA). Colour measurements from 126 samples of grape homogenate were compared against the standard industry spectrophotometric reference method that involves chemical extraction and subsequent optical absorption measurements of clarified samples at 520 nm. FEFA absorbance on homogenates at 520 nm (FEFA520h) was correlated with the industry reference method measurements of colour (R² = 0.46, n = 126). Using a simple regression equation colour could be predicted with a standard error of cross-validation (SECV) of 0.21 mg/g, with a range of 0.6 to 2.2 mg anthocyanin/g and a standard deviation of 0.33 mg/g. With a Ratio of Performance Deviation (RPD) of 1.6, the technique when utilizing only a single detection wavelength, is not robust enough to apply in a diagnostic sense, however the results do demonstrate the potential of the FEFA method as a fast and low-cost assay of colour in homogenized samples.
Original languageEnglish
Title of host publicationProceedings of PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering
EditorsHonghua Tan
Place of PublicationBellingham, United States of America
PublisherInternational Society for Optical Engineering (SPIE)
Pages87610R-1-87610R-6
ISBN (Print)9780819495587
DOIs
Publication statusPublished - 31 Dec 2013
EventPIAGENG 2013: 3rd International Conference on Image Processing and Photonics for Agricultural Engineering - Sanya, China
Duration: 27 Jan 201328 Jan 2013

Publication series

NameSPIE Proceedings
Number8761
ISSN (Electronic)1996-756X

Conference

ConferencePIAGENG 2013: 3rd International Conference on Image Processing and Photonics for Agricultural Engineering
CitySanya, China
Period27/01/1328/01/13

Keywords

  • Industrial Chemistry
  • Sensor Technology (Chemical aspects)
  • Quality Assurance, Chemometrics, Traceability and Metrological Chemistry
  • Photonics, Optoelectronics and Optical Communications

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