Determination of Odour Interactions of Three-Component Gas Mixtures Using an Electronic Nose

被引：45
|
作者：
Szulczynski, Bartosz [1 ]
Namiesnik, Jacek [2 ]
Gebicki, Jacek [1 ]
机构：
[1] Gdansk Univ Technol, Dept Chem & Proc Engn, Fac Chem, 11-12 G Narutowicza Str, PL-80233 Gdansk, Poland
[2] Gdansk Univ Technol, Dept Analyt Chem, Fac Chem, 11-12 G Narutowicza Str, PL-80233 Gdansk, Poland
来源：
SENSORS | 2017年 / 17卷 / 10期
关键词：
electronic nose; odour interactions; principal component regression; odour intensity; hedonic tone; PREDICTING ORGANOLEPTIC SCORES; PPM FLAVOR NOTES; INTENSITY; CLASSIFICATION; BIOFILTRATION; COMPOSTS; TONGUES; SENSORS; ARRAY; MS;
D O I：
10.3390/s17102380
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
The paper presents an application of an electronic nose prototype comprised of six TGS-type sensors and one PID-type sensor to identify odour interaction phenomena in odorous three-component mixtures. The investigation encompassed eight odorous mixturestoluene-acetone-triethylamine and formaldehyde-butyric acid-pinenecharacterized by different odour intensity and hedonic tone. A principal component regression (PCR) calibration model was used for evaluation of predicted odour intensity and hedonic tone. Correctness of identification of odour interactions in the odorous three-component mixtures was determined based on the results obtained with the electronic nose. The results indicated a level of 75-80% for odour intensity and 57-73% for hedonic tone. The average root mean square error of prediction amounted to 0.03-0.06 for odour intensity determination and 0.07-0.34 for hedonic tone evaluation of the odorous three-component mixtures.
引用
收藏
页数：18
相关论文
共 50 条
  • [21] An intelligent wireless electronic nose node for monitoring gas mixtures using neuro-fuzzy networks implemented on a microcontroller
    Kim, Young Wung
    Cho, Jung Hwan
    Jeon, Gi Joon
    2007 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONS, 2007, : 100 - +
  • [22] Variation Of Odour Profile Detected In The Floral Stages of Prunus Persica (L) Batsch Using An Electronic Nose
    Valeria, Messina
    Silvia, Radice
    Rosa, Baby
    de Reca Noemi, Walsoee
    OLFACTION AND ELECTRONIC NOSE, PROCEEDINGS, 2009, 1137 : 465 - +
  • [23] The effect of gas concentration on detection and classification of beef and pork mixtures using E-nose
    Wakhid, Sulaiman
    Sarno, Riyanarto
    Sabilla, Shoffi Izza
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 195
  • [24] Determination of trimethylamine in milk using an MS based electronic Nose
    Ampuero, S
    Zesiger, T
    Gustafsson, V
    Lundén, A
    Bosset, JO
    EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2002, 214 (02) : 163 - 167
  • [25] Monitoring and Detection of Fruits and Vegetables Spoilage in the Refrigerator using Electronic Nose Based on Principal Component Analysis
    Caya, Meo Vincent C.
    Cruz, Febus Reidj G.
    Fernando, Carolle Marian N.
    Lafuente, Roselle Marian M.
    Malonzo, Mark B.
    Chung, Wen-Yaw
    2019 IEEE 11TH INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY, COMMUNICATION AND CONTROL, ENVIRONMENT, AND MANAGEMENT (HNICEM), 2019,
  • [26] Estimating Gas Concentration using Artificial Neural Network for Electronic Nose
    Sabilla, Shoffi Izza
    Sarno, Riyanarto
    Siswantoro, Joko
    4TH INFORMATION SYSTEMS INTERNATIONAL CONFERENCE (ISICO 2017), 2017, 124 : 181 - 188
  • [27] Ridgetail White Prawns, Exopalaemon carinicauda, Storage Time Rapid Determination Using Electronic Nose
    Hui, Guohua
    Yue, Yang
    Yao, Zhou
    Zhou Yuren
    Wang Minmin
    Jie, Huang
    Yin Fangyuan
    Feng, Shen
    Yan, Jiang
    Wang Lvye
    Deng Shanggui
    FOOD ANALYTICAL METHODS, 2014, 7 (05) : 986 - 993
  • [28] Feature Selection Using Support Vector Machines and Independent Component Analysis for Wound Infection Detection by Electronic Nose
    Feng, Jingwei
    Tian, Fengchun
    Jia, Pengfei
    He, Qinghua
    Shen, Yue
    Liu, Tao
    SENSORS AND MATERIALS, 2013, 25 (08) : 527 - 538
  • [29] Data reconstruction using iteratively reweighted L1-principal component analysis for an electronic nose system
    Jeon, Hong-Min
    Lee, Je-Yeol
    Jeong, Gu-Min
    Choi, Sang-Il
    PLOS ONE, 2018, 13 (07):
  • [30] Quality-grade evaluation of petroleum waxes using an electronic nose with a TGS gas sensor array
    Wang, Ji
    Gao, Daqi
    Wang, Zejian
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2015, 26 (08)
12345