The discrepancy may be attributed to

The discrepancy may be attributed to selleck chem Vismodegib alignment error. The transmission loss for the waveguides was measured to less than 1 dB/cm at 1,550 nm wavelength. The wavelength shift due to temperature change of the integrated Bragg grating is found by heating a test chip using a Peltier element. A temperature sensitivity of approximately 30 pm/K was found. The temperature sensitivity is primarily due to a large thermooptic coefficient of the waveguide material [15] and is comparable to the temperature sensitivities found in FBG sensors.5.?ConclusionsIn this paper the design, fabrication and characterization of a new all-optical frequency modulated high pressure sensor has been presented. The sensor is well suited for distributed and remote sensing in harsh environments.
The sensor is made with conventional MEMS materials and technology combined with e-beam lithography for nanostructuring of the Bragg grating, which allows for simple fabrication and high mechanical stability. The pressure sensitivity of the sensor was measured to be 4.8 pm/bar (4.8 �� 10?5 pm/Pa) and the temperature sensitivity was measured to be 30 pm/K. The design could be optimized for higher or lower sensitivities by adjusting the membrane dimensions.AcknowledgmentsCenter for Individual Nanoparticle Functionality (CINF) is sponsored by The Danish National Research Foundation.
Chemoresistive n-type oxide semiconductors such as SnO2, ZnO, TiO2, In2O3, and WO3 have been widely used to detect explosive, toxic and harmful gases [1,2]. The main advantages of oxide semiconductor sensors are the simple and cost-effective detection of various gases.
High gas responses for detecting trace concentrations of analyte gases can be accomplished by employing well-defined nanostructures [3]. However, selective gas detection using oxide semiconductor sensors is often difficult because a number of different reducing gases can interact electrochemically with negatively charged surface oxygen. Various approaches have been employed to enhance the selectivity of sensors, which include the manipulation of sensing temperature [4,5], the addition of noble metal and oxide catalysts [6,7], coating with a catalytic filtering layer [8], compositional control of composite sensing materials [9], and the use of a neural network algorithm Carfilzomib [10].Combinatorial chemistry provides an attractive selleck ARQ197 and promising approach for high-throughput screening of medicine, catalysts, and functional materials [11�C14]. Generally, the combinatorial methods usually use parallel synthesis or characterization for high-speed screening. However, combinatorial approaches can be also applied to the compositional design of composite materials.

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