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Thermoelectric properties of silicon and recycled silicon sawing waste 被引量:4
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作者 Ran He Wieland Heyn +11 位作者 Felix Thiel Nicolas Perez Christine Damm Darius Pohl Bernd Rellinghaus Christian Reimann Maximilian Beier Jochen Friedrich Hangtian Zhu Zhifeng Ren Kornelius Nielsch Gabi Schierning 《Journal of Materiomics》 SCIE EI 2019年第1期15-33,共19页
Large-scale-applicable thermoelectric materials should be both self-sustaining,in order to survive longterm duty cycles,and nonpolluting.Among all classes of known thermoelectric materials,these criteria reduce the av... Large-scale-applicable thermoelectric materials should be both self-sustaining,in order to survive longterm duty cycles,and nonpolluting.Among all classes of known thermoelectric materials,these criteria reduce the available candidate pool,leaving silicon as one of the remaining options.Here we first review the thermoelectric properties of various silicon-related materials with respect to their morphologies and microstructures.We then report the thermoelectric properties of silicon sawing wastes recycled from silicon wafer manufacturing.We obtain a high power factor of~32 mWcm1 K2 at 1273 K with 6%phosphorus substitution in the Si crystal,a value comparable to that of phosphorus-doped silicongermanium alloys.Our work suggests the large-scale thermoelectric applicability of recycled silicon that would otherwise contribute to the millions of tons of industrial waste produced by the semiconductor industry. 展开更多
关键词 SILICON THERMOELECTRIC NANOSTRUCTURE Power factor Sawing waste
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Selective and self-validating breath-level detection of hydrogen sulfide in humid air by gold nanoparticle-functionalized nanotube arrays 被引量:1
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作者 Luis Antonio Panes-Ruiz Leif Riemenschneider +6 位作者 Mohamad Moner Al Chawa Markus Löffler Bernd Rellinghaus Ronald Tetzlaff Viktor Bezugly Bergoi Ibarlucea Gianaurelio Cuniberti 《Nano Research》 SCIE EI CSCD 2022年第3期2512-2521,共10页
We demonstrate the selective detection of hydrogen sulfide at breath concentration levels under humid airflow,using a self-validating 64-channel sensor array based on semiconducting single-walled carbon nanotubes(sc-S... We demonstrate the selective detection of hydrogen sulfide at breath concentration levels under humid airflow,using a self-validating 64-channel sensor array based on semiconducting single-walled carbon nanotubes(sc-SWCNTs).The reproducible sensor fabrication process is based on a multiplexed and controlled dielectrophoretic deposition of sc-SWCNTs.The sensing area is functionalized with gold nanoparticles to address the detection at room temperature by exploiting the affinity between gold and sulfur atoms of the gas.Sensing devices functionalized with an optimized distribution of nanoparticles show a sensitivity of 0.122%/part per billion(ppb)and a calculated limit of detection(LOD)of 3 ppb.Beyond the self-validation,our sensors show increased stability and higher response levels compared to some commercially available electrochemical sensors.The cross-sensitivity to breath gases NH3 and NO is addressed demonstrating the high selectivity to H2S.Finally,mathematical models of sensors’electrical characteristics and sensing responses are developed to enhance the differentiation capabilities of the platform to be used in breath analysis applications. 展开更多
关键词 chemiresistive gas sensors semiconducting carbon nanotubes gold nanoparticles hydrogen sulfide detection chemiresistor mathematical model
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