Development of Near Infrared Spectroscopy Methods to Assess Key Sultana Quality Parameters at the Processing Line

Collins, Chris (2006) Development of Near Infrared Spectroscopy Methods to Assess Key Sultana Quality Parameters at the Processing Line. PhD thesis, Victoria University.

Abstract

The Australian Sultana industry uses a visual assessment to classify sultanas, based on overall colour and relative uniformity of colour within a representative sample of 100 berries. A technique that gives a more precise indication of fruit quality is required by the industry. A key requirement is the rapid assessment of fruit after processing, to enable the processor to more readily meet the requirements of the buyer. The intention is to also meet the increasing demand of consumers who are becoming increasingly discerning and regulators who require more detailed nutritional information provided on food packaging.

Item type Thesis (PhD thesis)
URI https://vuir.vu.edu.au/id/eprint/30247
Subjects Historical > FOR Classification > 0908 Food Sciences
Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Keywords sultanas, quality testing, NIRS, tricolour stimulus, quality assurance, airstream sorting
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