A Pre-Concentration System Design for Electronic Nose via Finite Element Method

Qian, Junhui; Zhang, Ailing; Tian, Fengchun; Zhang, Yisha

doi:10.1109/tcsii.2021.3079163

Cited by 9 publications

(4 citation statements)

References 20 publications

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“…A structural diagram of the homemade electronic nose system utilized in this study is depicted in Figure 2a. Within the system schematic, solid black lines denote the gas flow path, solid red lines indicate control signals, and dashed black lines represent the standby carrier gas path designed for potential integration with preconcentration systems [20]. Notably, all experiments conducted in this study were executed in a non-preconcentration mode.…”

Section: Resultsmentioning

confidence: 99%

“…To accommodate the diverse temperature requirements of these sensors, our system incorporates two specialized sensor gas chambers. These chambers not only adhere to the operational temperature needs but also enhance the efficiency of gas preconcentration and extend the gas detection limits [20,23]. The software component of our homemade electronic nose system boasts remarkable robustness.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent Detection and Odor Recognition of Cigarette Packaging Paper Boxes Based on a Homemade Electronic Nose

Wang,

Li,

Wang

et al. 2024

Micromachines

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The printing process of box packaging paper can generate volatile organic compounds, resulting in odors that impact product quality and health. An efficient, objective, and cost-effective detection method is urgently needed. We utilized a self-developed electronic nose system to test four different cigarette packaging paper samples. Employing multivariate statistical methods like Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Statistical Quality Control (SQC), and Similarity-based Independent Modeling of Class Analogy (SIMCA), we analyzed and processed the collected data. Comprehensive evaluation and quality control models were constructed to assess sample stability and distinguish odors. Results indicate that our electronic nose system rapidly detects odors and effectively performs quality control. By establishing models for quality stability control, we successfully identified samples with acceptable quality and those with odors. To further validate the system’s performance and extend its applications, we collected two types of cigarette packaging paper samples with odor data. Using data augmentation techniques, we expanded the dataset and achieved an accuracy rate of 0.9938 through classification and discrimination. This highlights the significant potential of our self-developed electronic nose system in recognizing cigarette packaging paper odors and odorous samples.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Intelligent Detection and Odor Recognition of Cigarette Packaging Paper Boxes Based on a Homemade Electronic Nose

Wang,

Li,

Wang

et al. 2024

Micromachines

View full text Add to dashboard Cite

show abstract

“…The above gas chambers were coupled to a self-developed automatic sampling module [51] and the test chemicals were provided through collection bags. The system is automatically controlled by a computer built into the E-nose to switch among multiple inlet gas pathways [52]. Fig.…”

Section: Experimental E-nose Systemmentioning

confidence: 99%

“…We defined a protocol for these experiments that allowed for the testing of multiple chemicals at different concentrations. In all these experiments, zero air was used as the carrier gas [52]. The sensors were exposed to the 14 chemicals in a random order, with this order being randomized with each set of experiments.…”

Section: Experimental E-nose Systemmentioning

confidence: 99%