bullet Sensors & Transducers Journal

    (ISSN 1726- 5479)


2008 e-Impact Factor

              Editorial Calendar 2013

              Editorial Board

              Submit an Article

              Best Selling Articles 2012

              10 Top Sensors Products of 2011

              25 Top Downloaded Articles

              Submit Press Release

              Submit White Paper

              Journal Subscription 2013

Sensors and Intelligent Systems

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents


Best Articles 2011




Vol. 17, Special Issue, December 2012, pp. 50-59


Selected papers from the 4th International Conference on Intelligent & Advanced Systems (ICIAS' 2012),

12-14 June 2012, Malaysia, Kuala Lumpur




Artificial Neural Network-based Electronic Nose for the Detection of Sulfate-reducing Bacteria
1 Earn Tzeh TAN, 2 Zaini ABDUL HALIM, 3 Darah IBRAHIM, 3 Rashidah ABDUL RAHIM, 1 Junita MOHAMAD SALEH, 1 Umadevi CHANDARAN

1 School of Electrical and Electronic Engineering, Universiti Sains Malaysia

14300 Nibong Tebal, Penang, Malaysia

Tel.: +6012 5250719

2 Collaborative Microelectronic Design Excellence Centre, Universiti Sains Malaysia

14300 Nibong Tebal, Penang, Malaysia

3 School of Biological Sciences, Universiti Sains Malaysia

14300 Nibong Tebal, Penang, Malaysia

E-mail: tanearntzeh@yahoo.com


Received: 29 September 2012   /Accepted: 29 October 2012   /Published: 18 December 2012

Digital Sensors and Sensor Sysstems


Abstract: The paper demonstrates a method for the implementation of an olfactory system for the detection of sulfate-reducing bacteria. The unchecked growth of sulfate-reducing bacteria causes serious microbiologically-influenced corrosion problems in various industrial systems. Conventional techniques or instruments used to detect the presence of bacteria are time consuming and require a high degree of profession skill. This work examines the potential of using an electronic nose, equipped with a metal oxide semiconductor and temperature sensors, combined with an artificial neural network, to measure and evaluate the presence of the bacteria. The input values for the neural network are represented by sensors’ data set, whereas the output values indicate the presence of bacteria. This study also demonstrates the modeling techniques of a trained neural network using a Xilinx System Generator toolbox in a Matlab environment, so that the system can be implemented in a field programmable gate array for portable electronic nose applications. The preliminary design of the electronic nose and artificial neural network data processing promise a successful technique and has the potential to be an effective means of detecting the presence of sulfate-reducing bacteria.


Keywords: Electronic nose, Sulfate-reducing bacteria, Artificial neural network



Buy this article online (it will be send to you in the pdf format by e-mail) or subscribe Sensors & Transducers journal

(12 issues per year plus special issues; 40 % discount for payment IFSA Members):


Buy this journal issue in pdf format
only for 79.95 $ US:

Sensors & Transducers journal subscription

450 $ US per year:

Buy this article for
14.95 $ US:



Alternatively we accept a money transfer to our bank account. Please contact for details: sales@sensorsportal.com


Download <here> the Library Journal Recommendation Form



Read more about Chemical Sensors






1999 - 2012 Copyright ©, International Frequency Sensor Association (IFSA). All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn