Application of electronic nose for industrial odors and gaseous emissions measurement and monitoring – An overview

Deshmukh, S. B.; Bandyopadhyay, Rajib; Bhattacharyya, Nabarun; Pandey, R.A.; Jana, Arun

doi:10.1016/j.talanta.2015.06.050

Cited by 165 publications

(104 citation statements)

References 61 publications

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“…As an artificial olfactory technique, E-nose has played an important role in many fields, such as food analysis (Huo et al 2014;Peng et al 2015 andWei et al 2015), environment monitoring (Deshmukh, et al 2014 andDang et al 2014), and medicine evaluation (Dragonieri et al 2013 andWestenbrink et al 2015). Compared with human nose, E-nose presents better performances, including good repeatability, stability, and accuracy.…”

Section: Introductionmentioning

confidence: 99%

Design of A Portable Electronic Nose system and Application in K Value Prediction for Large Yellow Croaker (Pseudosciaena crocea)

Feng

Liu

et al. 2016

Food Anal. Methods

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In this paper, a portable electronic nose (Enose) system was designed, and its application in K value prediction for large yellow croaker (Pseudosciaena crocea) was also explored. E-nose responses to croaker samples were measured for 8 days. Microbiological and chemical indexes including total viable count (TVC), K value, and GC-MS were synchronously examined. Principal component analysis (PCA) and stochastic resonance (SR) were utilized for E-nose measurement data analysis. Results suggested that croaker's K value increased rapidly due to microbial propagation. GC-MS results presented the information of volatile gas emitted by croaker samples, and provided reliable references for E-nose responses. PCA method could not discriminate all croaker samples, while SR signal-to-noise ratio (SNR) maximum (Max SNR ) values quantitatively discriminated all samples. Large yellow croaker K value predictive model was developed by linear fitting regression between K values and Max SNR values with a regression coefficient (R 2 ) of 0.96. Validating experiment results demonstrated that the forecasting accuracy of this model is 83 % the regression coefficient of the developed model was 0.83. E-nose is a useful tool for food quality examination. But, there are no such standard references for E-nose examination, which limits the applications of this technique. The method proposed here will promote the applications of E-nose in aquatic product quality rapid analysis.

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Section: Introductionmentioning

confidence: 99%

Design of A Portable Electronic Nose system and Application in K Value Prediction for Large Yellow Croaker (Pseudosciaena crocea)

Feng

Liu

et al. 2016

Food Anal. Methods

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“…In particular, all the paths and junctions through which a sample passes have to be made of inert materials with minimal adsorptivity to various compounds; the materials used in construction and tubes must have no volatile components [9,26]. As to the measuring cell construction, it is of importance to a greater extent for dynamic sample injection techniques.…”

Section: Sample Injection Proceduresmentioning

confidence: 99%

“…Their application increases manufacturing efficiency and environmental safety and makes it possible to control quality of many products used in medicine and housekeeping [1][2][3][4][5][6][7][8][9]. The concept of electronic nose (EN) is one of the most efficient approaches to solving the problems requiring rapid screening of various complex mixtures [8].…”

Section: Introductionmentioning

confidence: 99%

“…[21,22], as well as choosing the optimal way for sample handling in the specific case. Of considerable importance is correct selection of the construction and materials for the experimental sensor or sample chamber and gas tubes for sample delivery [9,21]. All environmental factors that influence on sensors responses have to be carefully compensated.…”

Section: Introductionmentioning

confidence: 99%

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Sample handling for electronic nose technology: State of the art and future trends

Burlachenko

Kruglenko

Snopok

et al. 2016

TrAC Trends in Analytical Chemistry

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“…Alternatively, electronic noses have been developed for a rapid measurement of 90 malodor compounds, but the sensibility of these devices is quite reduced [17].…”

Section: Introductionmentioning

confidence: 99%

Determination of reduced sulfur compounds in air samples for the monitoring of malodor caused by landfills

Borrás

Tortajada-Genaro

Muñoz

2016

Talanta

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A reliable method for determining malodorous reduced sulfur compounds (RSC) in atmospheric samples has been developed. The method uses an activated coconut 25 solid-phase sorbent for active sampling, hexane as desorption solvent, and gas chromatography-mass spectrometry (GC-MS) technique for specific and sensitive separation-detection. The compounds analyzed were hydrogen sulfide, ethyl mercaptan, dimethyl sulfide, carbon disulfide, butyl mercaptan and dimethyl disulfide.

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Application of electronic nose for industrial odors and gaseous emissions measurement and monitoring – An overview

Cited by 165 publications

References 61 publications

Design of A Portable Electronic Nose system and Application in K Value Prediction for Large Yellow Croaker (Pseudosciaena crocea)

Design of A Portable Electronic Nose system and Application in K Value Prediction for Large Yellow Croaker (Pseudosciaena crocea)

Sample handling for electronic nose technology: State of the art and future trends

Determination of reduced sulfur compounds in air samples for the monitoring of malodor caused by landfills

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