2021
DOI: 10.1007/s00216-021-03340-5
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Optimization of electronic nose drift correction applied to tomato volatile profiling

Abstract: 30 E-noses can be routinely used to evaluate the volatile profile of tomato samples once the sensor drift 31 and standardization issues are adequately solved. Short-term drift can be corrected using a strategy 32 based on a multiplicative drift correction procedure coupled with a PLS adaptation of the Component Correction. It must be performed specifically for each sequence, using all sequence signals data. With 34 this procedure, a drastic reduction of sensor signal %RSD can be obtained, ranging between 91.5%… Show more

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Cited by 6 publications
(4 citation statements)
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“…Another study adopting PLS with domain adaptation showed reduced relative standard deviation of the sensor signals ranging between 91.5% and 99.7% depending on long or, short sequences. 141 PLS was also used in another study 142 for recognizing volatile organic gases. Zhang et al 143 proposed a target domain free approach which provided promising results without incorporating the data from the unknown target domain (Fig.…”
Section: Gas Sensor Data Analysismentioning
confidence: 99%
“…Another study adopting PLS with domain adaptation showed reduced relative standard deviation of the sensor signals ranging between 91.5% and 99.7% depending on long or, short sequences. 141 PLS was also used in another study 142 for recognizing volatile organic gases. Zhang et al 143 proposed a target domain free approach which provided promising results without incorporating the data from the unknown target domain (Fig.…”
Section: Gas Sensor Data Analysismentioning
confidence: 99%
“…The gases from industrial grade bottles (1) are mixed by a system of flowmeters (2) controlled by a computer (3) at the desired concentrations. The mixture passes through an oven (4) where the desired temperature is set and verified by a thermocouple (5). The gas enters the measurement cell (6) where a continuous ultrasonic sine wave is sent from an emitter CMUT array to a receiver CMUT array after travelling a distance d. Thus, the wave arrives attenuated exponentially with d. Additionally its phase is shifted with respect to the emission by an amount proportional to the time of flight, τ = d/v, required to go through the measuring cell.…”
Section: Setupmentioning
confidence: 99%
“…For applications dealing with hazardous gases such as hydrogen, H 2 , or methane, CH 4 , this becomes dangerous for the operators. Alternatively, it is possible to compensate this drift digitally, for instance, with artificial intelligence 4 or sophisticated models 5 . Nevertheless, this naturally increases both the manufacturing and the development cost.…”
Section: Introductionmentioning
confidence: 99%
“…For applications dealing with hazardous gases such as hydrogen, , or methane, , this becomes dangerous for the operators. Alternatively, it is possible to compensate this drift digitally, for instance, with artificial intelligence 4 or sophisticated models 5 . Nevertheless, this naturally increases both the manufacturing and the development cost.…”
Section: Introductionmentioning
confidence: 99%