Temperature drift identification in semiconductor gas sensors

Abstract

The efficiency of metal-oxide (MOX) semiconductor gas sensor is depends on the high accuracy of its performance. In real monitoring situation, the responses of gas sensor are inclined to substantial drift effects that caused by environmental factors (i.e., ambient temperature and humidity) that have reduced the sensor's accuracy. Therefore, the study aims to identify the probable span of drift in sensor responses that was introduced by ambient temperature variation. Two gas sensors (TGS2600 and TGS2602) were used to observe the drift due to ambient temperature variation (25, 30, 35 and 40°C) in exposure of clean air and 6 ppm toluene. The ambient temperature of 25 °C was set as the starting temperature for drifting point, and used as the baseline for identification of drift occurrence. The probable span of drift was later translated into percentage for easy interpretation. Results show that the sensors resistances were drifted in a wide range with their respective drift percentage as the ambient temperature were increased. The resistances for TGS2600 and TGS2602 were drifted up to 57.61 and 61.21 % in clean air while 40.13 and 9.7 % in 6 ppm toluene, respectively. It can be concluded that the probable span of drifted responses has been identified for TGS2600 and TGS2602 in clean air and 6 ppm toluene due to the variation of ambient temperature beyond 25 °C.

Physical Confounding Factors Affecting Gas Sensors Response: A Review on Effects and Compensation Strategies for Electronic Nose Applications

“…Indeed, some studies have evaluated the impact of the gas temperature on MOS sensor responses: Romain et al [70] observed that when e-noses based on MOS sensors are used in the field for environmental odor monitoring, a decrease in the ambient air temperature results in an increase in the sensor resistance, which in turn can alter the MOS sensor responses. A similar behavior was observed by Kashwan et al [22], who applied an e-nose for the analysis of tea flavor, and Abidin et al [81], who also reported a decrease in the sensors' response to different levels of toluene in the range between 25 • C and 40 • C. Huerta et al [81] came to the same conclusion in their work when they monitored the air quality in a toilet, as did Peterson et al [82] in the measurement of nitrogen dioxide and ozone in urban environments. One work by Knobloch et al [83] presents the dependence of target gas temperature on conductive polymer response.…”

“…The effect of the sensor's temperature is widely studied in the scientific literature [77][78][79][80][81]; it affects sensor surface reactions, which can lead to different responses. In the literature, three different approaches for this effect are presented.…”

Research on soft compensation of the potential drift signal of a pH electrode based on a gated recurrent neural network

“…This method has a good compensation effect [14]. Abidin et al proposed a drift identification method based on threshold judgment and applied it to the temperature drift identification of semiconductor gas sensors to determine whether the sensor measurement results are reliable [15]. Maho et al proposed a sensor compensation method based on a drift model and expectation maximization to achieve calibration-free drift compensation of sensors [16].…”

Comparative Study of Drift Compensation Methods for Environmental Gas Sensors

“…Miniaturized-devices (namely gas sensors) have been developed for monitoring purposes which giving better option on low at cost, continuous monitoring, compact and portable [3][4][5][6][7][8][9]. However, the existing sensor designs have a drawback when signal response cannot be fully optimized due to its sensitivity to surrounding environmental variables (i.e., environmental temperature and relative humidity) that has caused drift-effects [10][11][12][13][14][15][16]. In this paper, the study was aimed to compensate the sensor's signal drift using drift compensation model of T-and RT-methods.…”