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S. Kladsomboon, M. Lutz, T. Pongfa and T. Kerdcharoen, “An Optical Artificial Nose System for Odor Classifications Based on LED Arrays,” Proceedings of the 8th International Conference on Electrical Engineering/Electronics, Bangkok, 17-19 May 2011, pp. 145-148.

has been cited by the following article:

• TITLE: Applications and Technology of Electronic Nose for Clinical Diagnosis

  AUTHORS: Simeng Chen, Yuchao Wang, Seokheun Choi

  KEYWORDS: Electronic Nose; Biosensor; Clinical Diagnosis

  JOURNAL NAME: Open Journal of Applied Biosensor, Vol.2 No.2, May 13, 2013

  ABSTRACT: Rapid advances in sensor technologies have facilitated the development of high-performance electronic noses that can detect and discriminate volatile compounds in situ. The research and development of electronic noses has resulted in a new qualitative and semi-quantitative detection approach in the field of clinical diagnostics. Electronic noses have a clear potential to be a non-invasive, simple and rapid but above all accurate early diagnostic screening tool. This review collates existing knowledge of recent advances in electronic nose technologies and applications.