8 research outputs found

    Analysis of Fiber-Enhanced Raman Gas Sensing Based on Raman Chemical Imaging

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    Fiber enhanced Raman spectroscopy (FERS) is an arising new technique for versatile highly sensitive and selective multigas analysis in various applications, such as environmental monitoring and medical breath diagnosis. In this study, the performance of FERS was thoroughly studied with the help of a specially designed multichannel Raman chemical imaging. Several types of hollow core photonic crystal fibers were thoroughly analyzed in terms of their performance in light confinement and sensitive gas sensing. The optimal fiber length for Raman gas sensing was found to be 15 cm in our spectroscopic system. To separate the Raman scattering of the target gas molecules from the background generated by the silica microstructure of the fiber, the optimal diameter of a spatial filter was analyzed and quantified as Ø3.9 μm, which balances the suppression of the silica background and the attenuation of the gas signal, originating from different regions in the plane of the fiber end-face. To achieve an easy-to-use gas monitoring system with stable performance, an automated coupling-method was developed, to simplify the alignment of the FERS setup. The optimized design of the FERS setup has remarkable potential for highly sensitive, miniaturized, easy-to-use, and versatile gas sensing

    Ultrasensitive Fiber Enhanced UV Resonance Raman Sensing of Drugs

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    Fiber enhanced UV resonance Raman spectroscopy is introduced for chemical selective and ultrasensitive analysis of drugs in aqueous media. The application of hollow-core optical fibers provides a miniaturized sample container for analyte flow and efficient light-guiding, thus leading to strong light–analyte interactions and highly improved analytical sensitivity with the lowest sample demand. The Raman signals of the important antimalaria drugs chloroquine and mefloquine were strongly enhanced utilizing deep UV and electronic resonant excitation augmented by fiber enhancement. An experimental design was developed and realized for reproducible and quantitative Raman fiber sensing, thus the enhanced Raman signals of the pharmaceuticals show excellent linear relationship with sample concentration. A thorough model accounts for the different effects on signal performance in resonance Raman fiber sensing, and conclusions are drawn how to improve fiber enhanced Raman spectroscopy (FERS) for chemical selective analysis with picomolar sensitivity

    Fiber-Enhanced Raman Multigas Spectroscopy: A Versatile Tool for Environmental Gas Sensing and Breath Analysis

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    Versatile multigas analysis bears high potential for environmental sensing of climate relevant gases and noninvasive early stage diagnosis of disease states in human breath. In this contribution, a fiber-enhanced Raman spectroscopic (FERS) analysis of a suite of climate relevant atmospheric gases is presented, which allowed for reliable quantification of CH<sub>4</sub>, CO<sub>2</sub>, and N<sub>2</sub>O alongside N<sub>2</sub> and O<sub>2</sub> with just one single measurement. A highly improved analytical sensitivity was achieved, down to a sub-parts per million limit of detection with a high dynamic range of 6 orders of magnitude and within a second measurement time. The high potential of FERS for the detection of disease markers was demonstrated with the analysis of 27 nL of exhaled human breath. The natural isotopes <sup>13</sup>CO<sub>2</sub> and <sup>14</sup>N<sup>15</sup>N were quantified at low levels, simultaneously with the major breath components N<sub>2</sub>, O<sub>2</sub>, and <sup>12</sup>CO<sub>2</sub>. The natural abundances of <sup>13</sup>CO<sub>2</sub> and <sup>14</sup>N<sup>15</sup>N were experimentally quantified in very good agreement to theoretical values. A fiber adapter assembly and gas filling setup was designed for rapid and automated analysis of multigas compositions and their fluctuations within seconds and without the need for optical readjustment of the sensor arrangement. On the basis of the abilities of such miniaturized FERS system, we expect high potential for the diagnosis of clinically administered <sup>13</sup>C-labeled CO<sub>2</sub> in human breath and also foresee high impact for disease detection via biologically vital nitrogen compounds

    Have we reached proton beam therapy dosimetric limitations? – A novel robust, delivery-efficient and continuous spot-scanning proton arc (SPArc) therapy is to improve the dosimetric outcome in treating prostate cancer

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    Have we reached proton beam therapy dosimetric limitations? – A novel robust, delivery-efficient and continuous spot-scanning proton arc (SPArc) therapy is to improve the dosimetric outcome in treating prostate cance

    Guselkumab for the Treatment of Psoriasis: A Review of Phase III Trials

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    <p><b>Article full text</b></p> <p><br></p> <p>The full text of this article can be found here<b>. </b><a href="https://link.springer.com/article/10.1007/s13555-017-0187-0">https://link.springer.com/article/10.1007/s13555-017-0187-0</a></p><p></p> <p><br></p> <p><b>Provide enhanced content for this article</b></p> <p><br></p> <p>If you are an author of this publication and would like to provide additional enhanced content for your article then please contact <a href="http://www.medengine.com/Redeem/”mailto:[email protected]”"><b>[email protected]</b></a>.</p> <p><br></p> <p>The journal offers a range of additional features designed to increase visibility and readership. All features will be thoroughly peer reviewed to ensure the content is of the highest scientific standard and all features are marked as ‘peer reviewed’ to ensure readers are aware that the content has been reviewed to the same level as the articles they are being presented alongside. Moreover, all sponsorship and disclosure information is included to provide complete transparency and adherence to good publication practices. This ensures that however the content is reached the reader has a full understanding of its origin. No fees are charged for hosting additional open access content.</p> <p><br></p> <p>Other enhanced features include, but are not limited to:</p> <p><br></p> <p>• Slide decks</p> <p>• Videos and animations</p> <p>• Audio abstracts</p> <p>• Audio slides</p

    Magnesium Fluoride Electron-Selective Contacts for Crystalline Silicon Solar Cells

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    In this study, we present a novel application of thin magnesium fluoride films to form electron–selective contacts to <i>n</i>-type crystalline silicon (c-Si). This allows the demonstration of a 20.1%-efficient c-Si solar cell. The electron-selective contact is composed of deposited layers of amorphous silicon (∼6.5 nm), magnesium fluoride (∼1 nm), and aluminum (∼300 nm). X-ray photoelectron spectroscopy reveals a work function of 3.5 eV at the MgF<sub>2</sub>/Al interface, significantly lower than that of aluminum itself (∼4.2 eV), enabling an Ohmic contact between the aluminum electrode and <i>n</i>-type c-Si. The optimized contact structure exhibits a contact resistivity of ∼76 mΩ·cm<sup>2</sup>, sufficiently low for a full-area contact to solar cells, together with a very low contact recombination current density of ∼10 fA/cm<sup>2</sup>. We demonstrate that electrodes functionalized with thin magnesium fluoride films significantly improve the performance of silicon solar cells. The novel contacts can potentially be implemented also in organic optoelectronic devices, including photovoltaics, thin film transistors, or light emitting diodes

    The percentage changes of size versus SUV with the axes cross the metabolic response line of -25% and anatomical response line of -30%

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    <p><b>Copyright information:</b></p><p>Taken from "Correlating metabolic and anatomic responses of primary lung cancers to radiotherapy by combined F-18 FDG PET-CT imaging"</p><p>http://www.ro-journal.com/content/2/1/18</p><p>Radiation Oncology (London, England) 2007;2():18-18.</p><p>Published online 23 May 2007</p><p>PMCID:PMC1892564.</p><p></p> Legends, SUV = standard uptake value, Plus sign = local control, cross = deceased, circle = local failure on follow up
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