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Notice of Retraction: Instant coffee classification by electronic noses

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This article has been retracted by the publisher.

Notes: Notice of Retraction: After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove references to this paper. The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

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Abstract:

This article has been retracted by the publisher.

Published in: 2010 2nd International Conference on Mechanical and Electronics Engineering

Date of Conference: 01-03 August 2010

Date Added to IEEE Xplore: 26 August 2010

ISBN Information:

DOI: 10.1109/ICMEE.2010.5558605

Conference Location: Kyoto, Japan

Citations are not available for this document.

Contents

I. Introduction

This research is concentrated on classifying the coffee smell in Thailand market. It consists of 1) Moccona-select, 2) Moccona-royal gold, 3) Nescafe redcup, 4) Nescafe gold, 5) Khao Shong brown, 6) Khao Shong red, 7) Oem-Big C and 8) Superclass. The project uses an electronic sensor which has a high sensitivity on several different smells that can classify many types of coffee. It is called an electronic nose or E-nose.

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Sirichai Turmchokkasam, Kosin Chamnongthai, "Denoising by local iterated extended Kalman filter for quantification purposes in electronic noses", 2014 14th International Symposium on Communications and Information Technologies (ISCIT), pp.304-307, 2014.

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Nurul Asyikeen Ab Mutalib, Irwandi Jaswir, Rini Akmeliawati, "IIUM-fabricated portable electronic nose for halal authentication in beverages", 2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M), pp.1-4, 2013.

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Kazimierz Brudzewski, Stanislaw Osowski, Anna Dwulit, "Recognition of Coffee Using Differential Electronic Nose", IEEE Transactions on Instrumentation and Measurement, vol.61, no.6, pp.1803-1810, 2012.

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Cites in Papers - Other Publishers (3)

Carla Severini, Antonio Derossi, Anna Giuseppina Fiore, Ilde Ricci, Mauro Marone, "The electronic nose system: study on the global aromatic profile of espresso coffee prepared with two types of coffee filter holders", European Food Research and Technology, 2016.

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C. Severini, I. Ricci, M. Marone, A. Derossi, T. De Pilli, "Changes in the Aromatic Profile of Espresso Coffee as a Function of the Grinding Grade and Extraction Time: A Study by the Electronic Nose System", Journal of Agricultural and Food Chemistry, vol.63, no.8, pp.2321, 2015.

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Santina Romani, Chiara Cevoli, Angelo Fabbri, Laura Alessandrini, Marco Dalla Rosa, "Evaluation of Coffee Roasting Degree by Using Electronic Nose and Artificial Neural Network for Off-line Quality Control", Journal of Food Science, vol.77, no.9, pp.C960, 2012.

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Notice of Retraction: Instant coffee classification by electronic noses

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I. Introduction

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Notice of Retraction: Instant coffee classification by electronic noses

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I. Introduction

Cites in Papers - IEEE (3) | Other Publishers (3)

Cites in Papers - IEEE (3)

Cites in Papers - Other Publishers (3)

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