An electronic nose for reliable measurement and correct classification of beverages

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

This paper reports the design of an electronic nose (E-nose) prototype for reliable measurement and correct classification of beverages. The prototype was developed and fabricated in the laboratory using commercially available metal oxide gas sensors and a temperature sensor. The repeatability, reproducibility and discriminative ability of the developed E-nose prototype were tested on odors emanating from different beverages such as blackcurrant juice, mango juice and orange juice, respectively. Repeated measurements of three beverages showed very high correlation (r > 0.97) between the same beverages to verify the repeatability. The prototype also produced highly correlated patterns (r > 0.97) in the measurement of beverages using different sensor batches to verify its reproducibility. The E-nose prototype also possessed good discriminative ability whereby it was able to produce different patterns for different beverages, different milk heat treatments (ultra high temperature, pasteurization) and fresh and spoiled milks. The discriminative ability of the E-nose was evaluated using Principal Component Analysis and a Multi Layer Perception Neural Network, with both methods showing good classification results.

Original languageEnglish
Pages (from-to)6435-6453
Number of pages19
JournalSensors
Volume11
Issue number6
DOIs
Publication statusPublished - Jun 2011

Fingerprint

Electronic Nose
beverages
Beverages
juices
prototypes
Aptitude
electronics
milk
Milk
Pasteurization
Mangifera
odors
Temperature
sensors
Odors
temperature sensors
Temperature sensors
principal components analysis
Principal Component Analysis
Chemical sensors

Keywords

  • Beverage classification
  • Electronic nose design
  • Multi layer perception
  • Principal component analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Analytical Chemistry
  • Biochemistry

Cite this

An electronic nose for reliable measurement and correct classification of beverages. / Mamat, Mazlina; Abdul Samad, Salina; M A, Hannan.

In: Sensors, Vol. 11, No. 6, 06.2011, p. 6435-6453.

Research output: Contribution to journalArticle

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