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Cited article:

A Survey on Statistical and Machine Learning Algorithms Used in Electronic Noses for Food Quality Assessment

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HS-GC-IMS and chemometric data treatment for food authenticity assessment: Olive oil mapping and classification through two different devices as an example

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On the Temporal Stability of Analyte Recognition with an E-Nose Based on a Metal Oxide Sensor Array in Practical Applications

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Food Analysis Using Artificial Senses

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Sensing Technology: Current Status and Future Trends II

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Simplifying chromatographic analysis of the volatile fraction of foods

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Electronic Nose:  Current Status and Future Trends

Frank Röck, Nicolae Barsan and Udo Weimar
Chemical Reviews 108 (2) 705 (2008)
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