Filtern
Dokumenttyp
- Vortrag (5)
- Zeitschriftenartikel (1)
- Posterpräsentation (1)
- Forschungsbericht (1)
Sprache
- Englisch (8)
Schlagworte
- Gas sensor (8) (entfernen)
Organisationseinheit der BAM
Eingeladener Vortrag
- nein (5)
The ambient air quality around residential areas is influenced by industrial objects, including industrial sewage, livestock farming and landfill sites. These sites are generating malodours or toxic gases involving degradation of ambient air quality, which may constitute a risk in human health if maximum emission limits are exceeded. Therefore, appropriate tools allowing detection of harmful or bad odorous, subsequently contributing to a reduction of odour nuisance are greatly needed. The aim of this study was to demonstrate the capability of an electronic nose E-nose to discriminate various gas samples collected from six different sites from the agglomeration of Meknès city corresponding to municipal landfill, in the city at 2 km of landfill, industrial estate wastewater, traffic road, and sheep breeding. The investigations were carried out with an E-nose system based on an array of six-commercial MQ sensors. Further, a pattern recognition technique known as Principal Component Analysis (PCA), Linear Discriminent Analysis (LDA), and Support Vector Machines (SVMs) was implemented to study the discrimination capability of the sensor array. PCA results demonstrate excellent discriminating ability of the dataset with a score of 99.47 %. Additionally, another measurement database containing 12 air atmospheric samples was projected on the previously built PCA model to check the stability of the E-nose. The LDA was applied to the same dataset and showed a good discrimination between the ambient air samples of the six sites. Furthermore, SVMs technique was also used to build a classifier and reached a score of 100 % success rate in the recognition of the analysed samples. The obtained results of six areas demonstrate the increasing interests and the applicability of E-noses for ambient air quality classification of six areas caused by emitted decomposed organic matters.
Fluorometric sensing is a versatile approach for trace analysis outside of the laboratory, requiring suitable sensor materials and their integration into sensing devices. The versatility of fluorophores as probes, especially in terms of the possibility to tailor their optical as well as their recognition properties by synthetic modifications in a wide range, renders them as superior active component for the preparation of optical sensor devices. Recent works at BAM in this field include, for example, the detection of nerve gas agents,illustrating impressively the aforementioned benefits of fluorophores in optical sensing applications.
In the interdisciplinary approach presented here, we target hazardous gases such as ammonia, benzene, and hydrogen sulfide, next to others, which pose a major threat to human health and environmental safety and for which the availability of a sensitive and reliable detection method is highly desirable.
The dyes presented follow a “turn-on” fluorescence schematic, which allows for the selective and sensitive detection of the respective gaseous analyte. The immobilization of the probe in polymeric matrices is then the next step toward the fabrication of a prototype device for molecular sensing. Further steps in the project include the assembly of instruments for test-atmosphere generation, the referencing of the sensor system, development and implementation of an optical setup, and the testing of the prototype device under laboratory conditions and in the field.
In this presentation, we give an overview over the recent developments on this topic in our groups, including fluorophore designs investigated for the detection of benzene, ammonia, and hydrogen sulfide as well as approaches for the design of the sensing device.
An ellipsometric gas sensor based on the surface Plasmon resonance (SPR) effect of ~ 43 nm thick gold layers was investigated. To protect the gold layer from contamination and to improve the detection limits, the gold layers were top-coated with 5–6 nm thick layers of organic a-C:H or with inorganic metal oxides TiO2 or ZrO2. The additional layers increased the long-term stability, whereas the metal oxide layers protect better than a-C:H. Furthermore, the additional layers decreased the detection limits by one order of magnitude in case of a-C:H and two orders of magnitude in case of the oxides. It could be shown that the detection limits also depend on the kind of preparation (sol–gel process or physical vapour deposition) of the additional layers.
In this study 50 construction products were tested in emission test chambers according to the requirements of the AgBB-scheme: 7 acrylic and 6 silicone sealants, 6 paste-like synthetic resin plasters, 13 wood based products, 4 adhesives, 5 lacquers, 6 wall paints and 3 further construction products. VOC and odour emissions were tested on the 1st, 3rd, 10th, and 28th day. In addition to the VOC-measurements, a test procedure was developed to evaluate odour emission of construction products.This test is planned to be implemented into the AgBB-Scheme. A direct evaluation by a sensory panel in the emission test chamber was not possible. So the odour samples were collected in 300- litre tedlar bags which were evaluated later. Odour intensity of the samples was compared with different acetone concentrations. Within this study an interlaboratory comparison was conducted using the newly developed odour test method. Additionally, VVOC emissions, detection of carcinogenic compounds, repeatability of emission test chamber tests, and other issues are presented. This project has shown that construction products can be evaluated in accordance with the AgBB scheme. A sensory evaluation is intended to be introduced in the AgBB scheme. A method for this evaluation is described in this study. The test procedure should be enhanced and validated for practical utilisation.
This tutorial provides an overview of the utilization of sensor systems in hydrogen technologies. It discusses the necessary criteria and characteristics of sensor systems, and also demonstrates practical applications of these technologies in terms of safety and process control. Emphasis is placed on various types of sensors such as gas sensors, pressure sensors, temperature sensors, and gas flow sensors. These systems find application in monitoring and regulating operational parameters, detecting potentially dangerous situations, and activating alarm systems.
The testing of gas and humidity sensors is essential for the application of sensing devices. The testing determines properties of an investigated humidity sensor or gas sensor. In testing, the sensor property is the observed response of a sensing system to an input stimulus in comparison to a reference within a test procedure. This tutorial is structured into six chapters. The first chapter is about basics of hygrometry and gas sensing. It includes definitions, sensor classification, overview of application categories, as well as construction and functional principles. The chapter on requirements of deployed sensors focus on stability, response time, cross-sensitivity, electrical and mechanical requirements, and other. The sensing performance is characterised by determinations of parameters like accuracy, repeatability, detection limits (low and high), and response/recovery time. The description of testing signals on specified qualitative and quantitative characteristics, and the adequately estimated measurement uncertainty is the content of the analysis chapter. All chapters contain examples of testing procedures from testing/calibration labs for hygrometers and gas sensors which are essential for implementation into quality management systems.