Britton Chance's lab and thereafter: From NIR spectroscopy to molecular sensing via nanotechnology
نویسندگان
چکیده
منابع مشابه
Real-time Soil Sensing with NIR Spectroscopy
The grey-brown alluvial soil is a typical soil in the Northern China. It was selected as research object to reveal feasibility and possibility of real-time analyzing soil parameter with NIR spectroscopic techniques. 150 samples were collected from a winter wheat farm. And then the NIR absorbance spectra were rapidly measured under the original conditions by a Nicolet Antaris FT-NIR analyzer. Th...
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Herschel used thermometers to determine the heating effect of the sun's rays. He observed elevated temperatures " beyond the red. " Birth's classical diffuse reflectance experiment: All bottles contain same size glass particles. Media surrounding particles: (A) air, (B) water and (C) mineral oil. 1666—Newton disperses white light into colors 1668—Mariotte finds heat disappears when glass insert...
متن کاملMolecular Sensing Using Hyperpolarized Xenon NMR Spectroscopy
Although proton-based magnetic resonance imaging (MRI) provides a powerful modality for clinical imaging with excellent spatial resolution, it is not well suited to imaging void spaces (i.e., the lungs), low-abundance molecular markers of disease, or environments where unique proton spin densities are low. To address this limitation, hyperpolarized (hp) xenon-based NMR spectroscopy and MRI have...
متن کاملNir and Vis-nir Spectroscopy to Predict Pse-like Zones of Ham
The aim of the study was to evaluate NitFom ́s ability to predict PSE-like zones, a muscle structure defect in ham, which at present can only be detected by visual inspection after deboning. NitFom is an on-line fast device based on NIR spectroscopy dedicated to the meat industry. In comparison with the Vis-NIR Labspec4 spectrometer, the overall misclassification level of the NitFom is higher (1...
متن کاملA Comparative Study Concerning Linear and Nonlinear Models to Determine Sugar Content in Sugar Beet by Near Infrared Spectroscopy (NIR)
This paper reports on the use of Artificial Neural Networks (ANN) and Partial Least Squareregression (PLS) combined with NIR spectroscopy (900-1700 nm) to design calibration models for thedetermination of sugar content in sugar beet. In this study a total of 80 samples were used as the calibration set,whereas 40 samples were used for prediction. Three pre-processing methods, including Multiplic...
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ژورنال
عنوان ژورنال: Journal of Innovative Optical Health Sciences
سال: 2014
ISSN: 1793-5458,1793-7205
DOI: 10.1142/s1793545813300048