Improving Short Term Instability for Quantitative Analyses with Portable Electronic Noses

Macías, Miguel Macías; Agudo, J. Enrique; García‐Manso, Antonio; Garcı́a-Orellana, Carlos J.; González-Velasco, Horacio M.; Gallardo‐Caballero, Ramón

doi:10.3390/s140610514

Cited by 19 publications

(10 citation statements)

References 26 publications

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“…From the overall percentage result, has shown that the compensation using RT25COMP is able to reduce drift from the original UNCOMP responses with much higher degree than the compensation using T25COMP. This significant drift reduction ability of using RT25COMP from RT-method is congruent with the study in [18], in which utilization of baseline responses in compensating drift would results to a surprising drift-effects reduction. Thus, shows that RT-method is more effective in compensating drift compared to the compensation attempt using T-method.…”

Section: Resultssupporting

confidence: 72%

Comparative Study of Drift Compensation Methods for Environmental Gas Sensors

Abidin

Asmat

Hamidon

2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. Most drift compensation attempts in environmental gas sensors are only emphasize on the "already-known" drift-causing parameter (i.e., ambient temperature, relative humidity) in compensating the sensor drift. Less consideration is taken to another parameter (i.e., baseline responses) that might have affected indirectly with the promotion of drift-causing parameter variable (in this context, is ambient temperature variable). In this study, the "indirect" drift-causing parameter (drifted baseline responses) has been taken into consideration in compensating the sensor drift caused by ambient temperature variable, by means of a proposed drift compensation method (named as RT-method). The effectiveness of this method in its efficacy of compensating drift was analysed and compared with the common method that used the "already-known" drift-causing parameter (named as T-method), using drift reduction percentage. From the results analysis, the RT-method has outperformed Tmethod in the drift reduction percentage, with its ability to reduce drift up to 64% rather than the T-method which only able to reduce up to 45% for TGS2600 sensor. It has proven that the inclusion of drifted baseline responses into drift compensation attempt would resulted to an improved drift compensation efficiency.

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Section: Resultssupporting

confidence: 72%

Comparative Study of Drift Compensation Methods for Environmental Gas Sensors

Abidin

Asmat

Hamidon

2018

IOP Conf. Ser.: Earth Environ. Sci.

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“…This indicated that the device was likely very sensitive to environmental factors and should be trained under the same conditions as testing. Sensor drift due to variation in temperature and humidity may be controlled by periodic calibration with an internal standard based on cotton volatiles [25]. This capability is potentially available with our PAD unit via software correction.…”

Section: Discussionmentioning

confidence: 99%

Development of a Portable Electronic Nose for Detection of Cotton Damaged by Nezara viridula (Hemiptera: Pentatomidae)

et al. 2014

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Stink bugs are significant pests of cotton in the southeastern USA, causing millions of dollars in control costs and crop losses each year. New methods to detect stink bug damage must be investigated in order to reduce these costs and optimize pesticide applications. One such method would be to detect the volatile organic compounds (VOCs) emitted from cotton plants damaged by stink bugs. A portable device was developed to draw VOCs from the head space of a cotton boll over carbon black-polymer composite sensors. From the response of these sensors, this device would indicate if the boll was fed upon by a stink bug or not. The device was 100% accurate in distinguishing bolls damaged by stink bugs from undamaged controls when tested under training conditions. However, the device was only 57.1% accurate in distinguishing damaged from undamaged bolls when tested 24 h after it was trained. These results indicated that this device was capable of classifying cotton as damaged or undamaged by differentiating VOCs released from undamaged or damaged bolls, but improvements in design are required to address sensitivity to fluctuations in environmental conditions.

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“…In fact, Macias at al. introduced the basics of an affordable home-made e-nose [38]. Considering the simplicity and the efficiency of this device, parts of the main framework of CAPINose concerning air flows with injections and cleaning steps have been utilized in the AROD's e-nose prototype.…”

Section: Ar Olfactory Device Developmentmentioning

confidence: 99%

Olfactory-Based Augmented Reality Support for Industrial Maintenance

Erkoyuncu

Khan

2020

IEEE Access

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Augmented reality (AR) applications have opened innovative ways for performance improvement in the IoT industry. It can enhance user perception of the real-world by providing valuable information about an industrial environment and provide visual virtual information onto a head-mounted device (HMD). Such information is important for maintainers to quickly detect abnormalities, reduce nugatory routines and facilitate preventive maintenance activities. Since odors are made up of volatile compounds at low concentration, they can be used for olfactory-based identification. The article outlines the development of an olfactory-based AR system to help with the identification of maintenance issues using smell. The prototype comprises of three components: an electronic nose, a database and an AR application integrated with Microsoft HoloLens. After diagnosing an odor, the data is sent wirelessly through a local network to the HMD worn by the user. To validate the technology, four odors have been used, including engine oil, sun lotion, medical alcohol and perfume, to record behaviors and demonstrate the repeatability of the process. The presented technology incorporates sampling methods, cleaning processes and statistical analysis that can be further scrutinized to allow better smell augmentation for diagnosis. INDEX TERMS Augmented reality, gas and odor identification, electronic nose prototype, industrial maintenance.

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Improving Short Term Instability for Quantitative Analyses with Portable Electronic Noses

Cited by 19 publications

References 26 publications

Comparative Study of Drift Compensation Methods for Environmental Gas Sensors

Comparative Study of Drift Compensation Methods for Environmental Gas Sensors

Development of a Portable Electronic Nose for Detection of Cotton Damaged by Nezara viridula (Hemiptera: Pentatomidae)

Olfactory-Based Augmented Reality Support for Industrial Maintenance

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