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

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SN Computer Science 4 (5) (2023)
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Assessment of fruity aroma intensity in olive oils from different Spanish regions using a portable electronic nose

Alessandro Bianchi, Pablo Cano Marchal, Diego M. Martínez Gila, Fabio Mencarelli and Javier Gámez García
Journal of the Science of Food and Agriculture (2023)
https://doi.org/10.1002/jsfa.13179

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

María del Mar Contreras, Natalia Arroyo-Manzanares, Cristina Arce and Lourdes Arce
Food Control 98 82 (2019)
https://doi.org/10.1016/j.foodcont.2018.11.001

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

Ilia Kiselev, Victor Sysoev, Igor Kaikov, Ilona Koronczi, Ruslan Adil Akai Tegin, Jamila Smanalieva, Martin Sommer, Coskan Ilicali and Michael Hauptmannl
Sensors 18 (2) 550 (2018)
https://doi.org/10.3390/s18020550

Sensing Technology: Current Status and Future Trends II

D. Chatterjee, P. Bhattacharjee, H. Lechat, et al.
Smart Sensors, Measurement and Instrumentation, Sensing Technology: Current Status and Future Trends II 8 161 (2014)
https://doi.org/10.1007/978-3-319-02315-1_8

Food Analysis Using Artificial Senses

Magdalena Śliwińska, Paulina Wiśniewska, Tomasz Dymerski, Jacek Namieśnik and Waldemar Wardencki
Journal of Agricultural and Food Chemistry 62 (7) 1423 (2014)
https://doi.org/10.1021/jf403215y

Electronic Nose:  Current Status and Future Trends

Frank Röck, Nicolae Barsan and Udo Weimar
Chemical Reviews 108 (2) 705 (2008)
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Simplifying chromatographic analysis of the volatile fraction of foods

Silvia López-Feria, Soledad Cárdenas and Miguel Valcárcel
TrAC Trends in Analytical Chemistry 27 (9) 794 (2008)
https://doi.org/10.1016/j.trac.2008.07.006