Optimization of the Morphology of Volatile Organic Compound Sensors

 
9783659782244: Optimization of the Morphology of Volatile Organic Compound Sensors
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The current work involves fabrication, characterization, evaluation and subsequent optimization of Poly(methyl methacrylate) (PMMA) thin polymer films coated with gold nanoparticle sensors for detecting analytes of Volatile Organic Compounds (VOCs). For VOC sensors based on polymer/metal nanocomposites, the morphology of clusters, i.e. the cluster size and density principally affects the sensing property. And the morphology of clusters is a function of the method of production and process parameters. An optimum polymer film thickness of 100 nm deposited by spin coating gives the highest sensitivity and reversibility. By varying the polymer/metal nanocomposites’ synthesis conditions in terms of thermal evaporation and sputtering, the sensing performances of the PMMA-gold nanocomposite sensors were systematically optimized. The morphology of clusters prepared at different synthesis conditions was systematically investigated by high resolution Transmission Electron Microscopy (TEM). Based on the TEM investigation and response signal, an optimum condition for VOC sensor manufacturing lies in nanoampere current region.

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About the Author:

Dr.Ing. Nega Alemayehu has obtained his B.Sc. degree from Addis Ababa University in Chemical Engineering in 2007. He obtained his M.Sc. and PhD degrees from the Christian Albrechts University of Kiel, Institute of Materials Science and the Ruhr University of Bochum, in collaboration with IMPRS-SurMat and ICAMS, in 2010 and 2014,respectively.

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Book Description Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | The current work involves fabrication, characterization, evaluation and subsequent optimization of Poly(methyl methacrylate) (PMMA) thin polymer films coated with gold nanoparticle sensors for detecting analytes of Volatile Organic Compounds (VOCs). For VOC sensors based on polymer/metal nanocomposites, the morphology of clusters, i.e. the cluster size and density principally affects the sensing property. And the morphology of clusters is a function of the method of production and process parameters. An optimum polymer film thickness of 100 nm deposited by spin coating gives the highest sensitivity and reversibility. By varying the polymer/metal nanocomposites' synthesis conditions in terms of thermal evaporation and sputtering, the sensing performances of the PMMA-gold nanocomposite sensors were systematically optimized. The morphology of clusters prepared at different synthesis conditions was systematically investigated by high resolution Transmission Electron Microscopy (TEM). Based on the TEM investigation and response signal, an optimum condition for VOC sensor manufacturing lies in nanoampere current region. | Format: Paperback | Language/Sprache: english | 108 pp. Seller Inventory # K9783659782244

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Book Description LAP Lambert Academic Publishing, United States, 2015. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.The current work involves fabrication, characterization, evaluation and subsequent optimization of Poly(methyl methacrylate) (PMMA) thin polymer films coated with gold nanoparticle sensors for detecting analytes of Volatile Organic Compounds (VOCs). For VOC sensors based on polymer/metal nanocomposites, the morphology of clusters, i.e. the cluster size and density principally affects the sensing property. And the morphology of clusters is a function of the method of production and process parameters. An optimum polymer film thickness of 100 nm deposited by spin coating gives the highest sensitivity and reversibility. By varying the polymer/metal nanocomposites synthesis conditions in terms of thermal evaporation and sputtering, the sensing performances of the PMMA-gold nanocomposite sensors were systematically optimized. The morphology of clusters prepared at different synthesis conditions was systematically investigated by high resolution Transmission Electron Microscopy (TEM). Based on the TEM investigation and response signal, an optimum condition for VOC sensor manufacturing lies in nanoampere current region. Seller Inventory # AAV9783659782244

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Book Description LAP Lambert Academic Publishing Okt 2015, 2015. Taschenbuch. Condition: Neu. Neuware - The current work involves fabrication, characterization, evaluation and subsequent optimization of Poly(methyl methacrylate) (PMMA) thin polymer films coated with gold nanoparticle sensors for detecting analytes of Volatile Organic Compounds (VOCs). For VOC sensors based on polymer/metal nanocomposites, the morphology of clusters, i.e. the cluster size and density principally affects the sensing property. And the morphology of clusters is a function of the method of production and process parameters. An optimum polymer film thickness of 100 nm deposited by spin coating gives the highest sensitivity and reversibility. By varying the polymer/metal nanocomposites' synthesis conditions in terms of thermal evaporation and sputtering, the sensing performances of the PMMA-gold nanocomposite sensors were systematically optimized. The morphology of clusters prepared at different synthesis conditions was systematically investigated by high resolution Transmission Electron Microscopy (TEM). Based on the TEM investigation and response signal, an optimum condition for VOC sensor manufacturing lies in nanoampere current region. 108 pp. Englisch. Seller Inventory # 9783659782244

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Book Description LAP Lambert Academic Publishing Okt 2015, 2015. Taschenbuch. Condition: Neu. Neuware - The current work involves fabrication, characterization, evaluation and subsequent optimization of Poly(methyl methacrylate) (PMMA) thin polymer films coated with gold nanoparticle sensors for detecting analytes of Volatile Organic Compounds (VOCs). For VOC sensors based on polymer/metal nanocomposites, the morphology of clusters, i.e. the cluster size and density principally affects the sensing property. And the morphology of clusters is a function of the method of production and process parameters. An optimum polymer film thickness of 100 nm deposited by spin coating gives the highest sensitivity and reversibility. By varying the polymer/metal nanocomposites' synthesis conditions in terms of thermal evaporation and sputtering, the sensing performances of the PMMA-gold nanocomposite sensors were systematically optimized. The morphology of clusters prepared at different synthesis conditions was systematically investigated by high resolution Transmission Electron Microscopy (TEM). Based on the TEM investigation and response signal, an optimum condition for VOC sensor manufacturing lies in nanoampere current region. 108 pp. Englisch. Seller Inventory # 9783659782244

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Book Description LAP Lambert Academic Publishing Okt 2015, 2015. Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Neuware - The current work involves fabrication, characterization, evaluation and subsequent optimization of Poly(methyl methacrylate) (PMMA) thin polymer films coated with gold nanoparticle sensors for detecting analytes of Volatile Organic Compounds (VOCs). For VOC sensors based on polymer/metal nanocomposites, the morphology of clusters, i.e. the cluster size and density principally affects the sensing property. And the morphology of clusters is a function of the method of production and process parameters. An optimum polymer film thickness of 100 nm deposited by spin coating gives the highest sensitivity and reversibility. By varying the polymer/metal nanocomposites' synthesis conditions in terms of thermal evaporation and sputtering, the sensing performances of the PMMA-gold nanocomposite sensors were systematically optimized. The morphology of clusters prepared at different synthesis conditions was systematically investigated by high resolution Transmission Electron Microscopy (TEM). Based on the TEM investigation and response signal, an optimum condition for VOC sensor manufacturing lies in nanoampere current region. 108 pp. Englisch. Seller Inventory # 9783659782244

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