Accuracy calibration transfer between multi-sensor systems based on metal-oxide gas sensors used for analysis of exhaled air
The application of electronic nose system as an instrument for exhaled air analysis for diagnosing various diseases (lung cancer, etc.) is one of the most rapidly developing areas of predictive medicine. However, a significant disadvantage of such systems is difficulty in production of identical mul...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Results in Chemistry |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211715623004277 |
| _version_ | 1797398610081480704 |
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| author | Alexander Kononov Alexander Ganeev Igor Jahatspanian Victoria Chuchina Anna Gubal Denis Kravtsov Han Jin Alexey Vasiliev |
| author_facet | Alexander Kononov Alexander Ganeev Igor Jahatspanian Victoria Chuchina Anna Gubal Denis Kravtsov Han Jin Alexey Vasiliev |
| author_sort | Alexander Kononov |
| collection | DOAJ |
| description | The application of electronic nose system as an instrument for exhaled air analysis for diagnosing various diseases (lung cancer, etc.) is one of the most rapidly developing areas of predictive medicine. However, a significant disadvantage of such systems is difficulty in production of identical multi-sensor systems because the sensors of the same type are not identical, that degrades the predictive ability. To solve this problem calibration transfer methods are used.This paper analyzes currently applied calibration transfer methods. A new approach to evaluate the effectiveness of calibration transfer methods for two multi-sensor systems is proposed and implemented. One- and three-component gas mixtures are taken for the analysis. In this work, four methods are used to adjust the sensor responses: UDS, UDSwoi, DS-L1R and DS-PLS2. Applicability of one-factor standardization methods (UDS and UDSwoi) is shown on the classification tasks: multi-class classification task of one-component gas mixtures and binary classification task of three-component gas mixtures. Multi-class classification of model one-component gas mixtures for UDS, UDSwoi with 4 calibration transfer samples provided the classification accuracy of 0.985 and 0.990, respectively. The binary classification of two three-component mixtures with different ratios of three VOCs within the 20% discrepancy limits, UDS, UDSwoi and DS-PLS2 achieved an error-free accuracy of 1.000. |
| first_indexed | 2024-03-09T01:28:02Z |
| format | Article |
| id | doaj.art-1602b735c08e47d691bc6a8ffd8ce96b |
| institution | Directory Open Access Journal |
| issn | 2211-7156 |
| language | English |
| last_indexed | 2024-03-09T01:28:02Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Chemistry |
| spelling | doaj.art-1602b735c08e47d691bc6a8ffd8ce96b2023-12-10T06:15:33ZengElsevierResults in Chemistry2211-71562023-12-016101188Accuracy calibration transfer between multi-sensor systems based on metal-oxide gas sensors used for analysis of exhaled airAlexander Kononov0Alexander Ganeev1Igor Jahatspanian2Victoria Chuchina3Anna Gubal4Denis Kravtsov5Han Jin6Alexey Vasiliev7Institute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, 199034 St. Petersburg, RussiaInstitute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, 199034 St. Petersburg, Russia; Lumex Ltd., ul. Obruchevykh 1b, 195220 St. Petersburg, RussiaJoint-Stock Company ‘Scientific and Production Association ‘PRIBOR’, 17 line of Vasilievsky island 4-6, 199034 St Petersburg, RussiaInstitute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, 199034 St. Petersburg, Russia; Lumex Ltd., ul. Obruchevykh 1b, 195220 St. Petersburg, Russia; Corresponding author.Institute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, 199034 St. Petersburg, Russia; Lumex Ltd., ul. Obruchevykh 1b, 195220 St. Petersburg, RussiaInstitute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, 199034 St. Petersburg, Russia; Lumex Ltd., ul. Obruchevykh 1b, 195220 St. Petersburg, Russia; Institute for Analytical Instrumentation Russian Academy of Sciences, ul.Ivana Chernykh 31-33, lit.A, 198095 St. Petersburg, RussiaDepartment of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, ChinaUniversity “Dubna”, Universitetskaya, 19, Dubna, 141980 Moscow region, RussiaThe application of electronic nose system as an instrument for exhaled air analysis for diagnosing various diseases (lung cancer, etc.) is one of the most rapidly developing areas of predictive medicine. However, a significant disadvantage of such systems is difficulty in production of identical multi-sensor systems because the sensors of the same type are not identical, that degrades the predictive ability. To solve this problem calibration transfer methods are used.This paper analyzes currently applied calibration transfer methods. A new approach to evaluate the effectiveness of calibration transfer methods for two multi-sensor systems is proposed and implemented. One- and three-component gas mixtures are taken for the analysis. In this work, four methods are used to adjust the sensor responses: UDS, UDSwoi, DS-L1R and DS-PLS2. Applicability of one-factor standardization methods (UDS and UDSwoi) is shown on the classification tasks: multi-class classification task of one-component gas mixtures and binary classification task of three-component gas mixtures. Multi-class classification of model one-component gas mixtures for UDS, UDSwoi with 4 calibration transfer samples provided the classification accuracy of 0.985 and 0.990, respectively. The binary classification of two three-component mixtures with different ratios of three VOCs within the 20% discrepancy limits, UDS, UDSwoi and DS-PLS2 achieved an error-free accuracy of 1.000.http://www.sciencedirect.com/science/article/pii/S2211715623004277Electronic noseMetal-oxide sensorMulti-sensor systemCalibration transferVolatile organic compoundsBreath analysis |
| spellingShingle | Alexander Kononov Alexander Ganeev Igor Jahatspanian Victoria Chuchina Anna Gubal Denis Kravtsov Han Jin Alexey Vasiliev Accuracy calibration transfer between multi-sensor systems based on metal-oxide gas sensors used for analysis of exhaled air Results in Chemistry Electronic nose Metal-oxide sensor Multi-sensor system Calibration transfer Volatile organic compounds Breath analysis |
| title | Accuracy calibration transfer between multi-sensor systems based on metal-oxide gas sensors used for analysis of exhaled air |
| title_full | Accuracy calibration transfer between multi-sensor systems based on metal-oxide gas sensors used for analysis of exhaled air |
| title_fullStr | Accuracy calibration transfer between multi-sensor systems based on metal-oxide gas sensors used for analysis of exhaled air |
| title_full_unstemmed | Accuracy calibration transfer between multi-sensor systems based on metal-oxide gas sensors used for analysis of exhaled air |
| title_short | Accuracy calibration transfer between multi-sensor systems based on metal-oxide gas sensors used for analysis of exhaled air |
| title_sort | accuracy calibration transfer between multi sensor systems based on metal oxide gas sensors used for analysis of exhaled air |
| topic | Electronic nose Metal-oxide sensor Multi-sensor system Calibration transfer Volatile organic compounds Breath analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2211715623004277 |
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