An application of data mining to fruit and vegetable sample identification using Gas Chromatography-Mass Spectrometry

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Title

An application of data mining to fruit and vegetable sample identification using Gas Chromatography-Mass Spectrometry

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

One of the uses of Gas Chromatography-Mass Spectrometry (GC-MS) is in the detection of pesticide residues in fruit and vegetables. In a high throughput laboratory there is the potential for sample swaps or mislabelling, as once a sample has been pre-processed to be injected into the GC-MS analyser, it is no longer distinguishable by eye. Possible consequences of such mistakes can be the destruction of large amounts of actually safe produce or pesticide-contaminated produce reaching the consum...

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Format

Research paper

Research format

Journal article

Date created

2012

Creator

Holmes, Geoffrey / Fletcher, Dale / Reutemann, Peter

URL

https://hdl.handle.net/10289/8409

Related subjects

computer science / GC-MS / sample identification / data mining / workflows / Machine learning

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