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Selective sensors

Temperature. Temperature sensor selection and installation should be based on the process-related requirements of a particular situation, ie, temperature level and range, process environment, accuracy, and repeatabiHty. Accuracy and repeatabiHty are affected by the inherent characteristics of the device and its location and installation. For example, if the average temperature of a flowing fluid is to be measured, mounting the device nearly flush with... [Pg.65]

Possible applications of MIP membranes are in the field of sensor systems and separation technology. With respect to MIP membrane-based sensors, selective ligand binding to the membrane or selective permeation through the membrane can be used for the generation of a specific signal. Practical chiral separation by MIP membranes still faces reproducibility problems in the preparation methods, as well as mass transfer limitations inside the membrane. To overcome mass transfer limitations, MIP nanoparticles embedded in liquid membranes could be an alternative approach to develop chiral membrane separation by molecular imprinting [44]. [Pg.136]

Phenolic copolymers containing fluorophores (fluoroscein and calcein) were synthesized by SBP catalysis and used as array-based metal-ion sensor. Selectivity and sensitivity for metal ions could be controlled by changing the polymer components. Combinatorial approach was made for efficient screening of specific sensing of the metals. [Pg.236]

On-line State Estimation. Optimal Sensor Selection and Control. Realistically, it is very difficult to have on-line measurements of all the major polymer or latex properties of interest, but perhaps one could rely upon one or two of the sensors available for the on-line measurement of a few states (e.g. conversion). In order to estimate some of the other states (e.g. particle diameter averages), Kalman filters or Observers should be used. A number of papers have investigated these state estimation schemes (58,6 , 67). [Pg.225]

The main classes of plasticizers for polymeric ISEs are defined by now and comprise lipophilic esters and ethers [90], The regular plasticizer content in polymeric membranes is up to 66% and its influence on the membrane properties cannot be neglected. Compatibility with the membrane polymer is an obvious prerequisite, but other plasticizer parameters must be taken into account, with polarity and lipophilicity as the most important ones. The nature of the plasticizer influences sensor selectivity and detection limits, but often the reasons are not straightforward. The specific solvation of ions by the plasticizer may influence the apparent ion-ionophore complex formation constants, as these may vary in different matrices. Ion-pair formation constants also depend on the solvent polarity, but in polymeric membranes such correlations are rather qualitative. Insufficient plasticizer lipophilicity may cause its leaching, which is especially undesired for in-vivo measurements, for microelectrodes and sensors working under flow conditions. Extension of plasticizer alkyl chains in order to enhance lipophilicity is only a partial problem solution, as it may lead to membrane component incompatibility. The concept of plasticizer-free membranes with active compounds, covalently attached to the polymer, has been intensively studied in recent years [91]. [Pg.124]

To improve the stability and selectivity, additional electrode coverings were considered. Conducting and non-conducting polymers were known to reduce the interference effect. Covering the electrode with Nation [37, 121], sol-gel [122, 123] or other thick films [124] facilitated an increase in sensor selectivity by approximately ten times. [Pg.444]

The next three chapters (Chapters 9-11) focus on the deposition of nano-structured or microstructured films and entities. Porous oxide thin films are, for example, of great interest due to potential application of these films as low-K dielectrics and in sensors, selective membranes, and photovoltaic applications. One of the key challenges in this area is the problem of controlling, ordering, and combining pore structure over different length scales. Chapter 9 provides an introduction and discussion of evaporation-induced self-assembly (EISA), a method that combines sol-gel synthesis with self-assembly and phase separation to produce films with a tailored pore structure. Chapter 10 describes how nanomaterials can be used as soluble precursors for the preparation of extended... [Pg.511]

Maximum Mutual Information Based Sensor Selection Algorithm... [Pg.109]

We run Monte Carlo simulations to examine the performance of the sensor selection algorithm based on the maximization of mutual information for the distributed data fusion architecture. We examine two scenarios first is the sparser one, which consists of 50 sensors which are randomly deployed in the 200 m x 200 m area. The second is a denser scenario in which 100 sensors are deployed in the same area. All data points in the graphs represent the means of ten runs. A target moves in the area according to the process model described in Section 4. We utilize the Neyman-Pearson detector [20, 30] with a = 0.05, L = 100, r) = 2, 2-dB antenna gain, -30-dB sensor transmission power and -6-dB noise power. [Pg.111]

Figures 11 and 12 depict the total energy exhausted in the network for all three sensor selection algorithms during the hundred second-scenario. Consumed energy increases as the maximum number of sensors that are... Figures 11 and 12 depict the total energy exhausted in the network for all three sensor selection algorithms during the hundred second-scenario. Consumed energy increases as the maximum number of sensors that are...
H. Wang, K. Yao, G. Pottie, and D. Estrin, Entropy-based sensor selection heuristic for target localization, in Proceedings of the Third Symposium on Information Processing in Sensor Networks, Berkeley, USA, April 2004, pp. 36-45. [Pg.118]

Temperature sensitive mixtures, strategic separation schemes and, 22 3lit Temperature sensors, selection and installation of, 20 679-680 Temperature stability, of sealants, 22 29-30... [Pg.926]

Marsella MJ, Swager TM (1993) Designing conducting polymer-based sensors - selective ionochromic response in crown-ether containing polythiophenes. J Am Chem Soc 115 12214-12215... [Pg.415]

A. Prasanna de Silva, and H. Q. Nimal Gunaratne, Fluorescent PET (Photoinduced Electron Transfer) sensors selectives for submicromolar calcium with quantitatively predictable spectral and ion-binding properties, J. Chem, Soc., Chem, Common. 186 (1990). [Pg.46]

During the last years, so-called microhotplates (pHP) have been developed in order to shrink the overall dimensions and to reduce the thermal mass of metal-oxide gas sensors [7,9,15]. Microhotplates consist of a thermally isolated stage with a heater structure, a temperature sensor and a set of contact electrodes for the sensitive layer. By using such microstructures, high operation temperatures can be reached at comparably low power consumption (< 100 mW). Moreover, small time constants on the order of 10 ms enable applying temperature modulation techniques with the aim to improve sensor selectivity and sensitivity. [Pg.3]

Phase transition in gels in response to biochemical reactions [27,28]. Polymer gels were synthesized in which an enzyme (urease) or a biologically active protein (lectin) was immobilized. The volume phase transitions were observed in such gels when biochemical reactions took place. Such mechano-biochemical gels will be used in devices such as, sensors, selective absorbers, and biochemically controlled drug release. [Pg.202]

It is important to note that if the detected species is hydrogen ion, then all aci-dobasic species are mutually interfering. Improved selectivity can be obtained by the judicial choice of the internal potentiometric element and to some extent by the selective permeability of the hydrophobic membrane. Thus, for example, for selective detection of HCN (pKa = 3.32) the internal element should be a potentiometric sensor selective to CN and the pH of the internal electrolyte should be at least two pH units above the pKa value (e.g., pH >5.5). In that case, practically all HCN is dissociated. [Pg.172]

Carbon monoxide sensor. Carbon monoxide is a toxic air pollutant originating from incomplete combustion of fuels in burners or engines. Despite a strong demand for a very reliable carbon monoxide sensor, the only available sensor was based on an electrochemical type until recently. In this type sensor, selectivity and sensitivity for CO can often be enhanced by selecting elecrode materials and electrode potential appropriately, but several disadvantages are encountered, such as, short life, difficult maintenance and a rather expensive price. [Pg.46]

Products obtained by propane-selective oxidation have been analyzed by gas sensor systems [19, 26]. Usually, several or multiple kinds of compounds are produced during the selective oxidation of propane. The formation of CO, C02, aldehydes such as acrolein, and ketone were observed over iron-silica catalysts [28, 29]. During the initial stage of catalyst investigation, the conversion of propane and the selectivity toward useful oxygenate products as chemical resources are of interest. Semiconductor-type gas sensors selective toward the oxygenate were employed to estimate the yield of oxygenate products, with a combination of the potentiometric CO sensor and the ND-IR C02 sensor [30]. [Pg.193]


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Environmental potentiometric sensors sensor selectivity

Flow-through ion-selective potentiometric sensors

Ion selective sensors

Ion-selective electrodes galvanostatically controlled sensors

Ion-selective electrodes light-addressable potentiometric sensors

Ion-selective electrodes sensor arrays

Ion-selective electrodes sensor materials

Maximum Mutual Information Based Sensor Selection Algorithm

Nitric oxide electrochemical sensors selectivity

Nitrite-selective sensors

Nitrobenzene-selective sensor

Online sensors selection

Organotin Compounds as Anion-Selective Carriers in Chemical Sensors

Potentiometric ion-selective sensors

Potentiometric sensors selective sensor

Potentiometric sensors selectivity coefficient

Recent material developments for improved selectivity of SiC gas sensors

Routes towards sensor selectivity

Salicylate-selective sensors

Selecting temperature sensors

Selective Ion Recognition with Durable Sensors

Selectivity Revisited Sensor Arrays and Pattern Recognition

Selectivity acoustic mass sensors

Selectivity constant Sensors

Selectivity of Potentiometric Sensors

Selectivity of amperometric sensors

Selectivity of sensor

Selectivity semiconducting sensors

Selectivity semiconductor sensors

Selectivity sensor arrays

Selectivity, chemical sensors

Selectivity, sensitive layer potentiometric sensors

Sensor selection

Sensor selection

Sensor selectivity

Sensor selectivity

Sensor selectivity factors influencing

Sensors based on ion-selective field-effect transistors

Sensors ion-selective electrodes

Sensors, chemically selective

Sensors, molecular imprinting substrate-selective

Signal of ideally selective sensor

Templated Xerogels as Selective Chemical Sensors

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