[Illinois] Bioengineering Series: Non-conventional Raman Spectroscopy Applications Towards the Compositional Analysis of Soy Bean Seed
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Raman spectroscopy has proven to be a non-destructive approach to obtaining chemically specific information from a wide variety of analytes. Conventional experimental configurations illuminate the sample and collect the backscattered Raman signal from the same points of illumination. However, by offsetting the illumination and collection regions, it is possible to tune the sampling depths to obtain signal from targets buried below the surface of light scattering materials. In this talk, a number of experimental examples will be presented illustrating applications for both spatially offset Raman spectroscopy and transmission Raman spectroscopy. We illustrate the ability to gain spectral/chemical information with both spatial and depth resolution. Employing two transmission instruments (built in-house), Raman spectra collected from soybeans were used to develop calibration models for protein, oil, amino acids, and fatty acids. Calibration curves using wet chemistry to evaluate the potential of Raman spectroscopy for the non-destructive compositional analysis of soybeans will be presented.
"I am a big believer that spectroscopy and quantitative imaging tools can play a critical role in the clinical workflow associated with all stages of pathology. By combining instrumentation developed for specific needs and focusing efforts on quantification, my research aims at aiding progress against human disease. With a background in analytical chemistry and an expertise in Raman spectroscopy, I have been involved in several projects (links are below) with this goal in mind. Raman spectroscopy is a very nice 'hammer', with almost an endless number of 'nails'. But any technique by itself will only fill-in parts of the puzzle. I am working towards developing my expertise in multi-modal approaches. I am always interested in new collaborations and expanding the methods I have been involved in developing. "
-Taken from Matthew Schulmerich's website.
Researchers should cite this work as follows:
Matthew Schulmerich; NanoBio Node; AbderRahman N Sobh (2012), "[Illinois] Bioengineering Series: Non-conventional Raman Spectroscopy Applications Towards the Compositional Analysis of Soy Bean Seed," https://nanohub.org/resources/16085.