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High Fidelity Raman Chemical Imaging of Materials

Bobba, Venkata Nagamalli Koteswara Rao
http://rave.ohiolink.edu/etdc/view?acc_num=csu1462806523

Abstract Details

2016, Doctor of Philosophy in Clinical-Bioanalytical Chemistry, Cleveland State University, College of Sciences and Health Professions.
The development of high fidelity Raman imaging systems is important for a number of application areas including material science, bio-imaging, bioscience and healthcare, pharmaceutical analysis, and semiconductor characterization. The use of Raman imaging as a characterization tool for detecting the amorphous and crystalline regions in the biopolymer poly-L-lactic acid (PLLA) is the precis of my thesis. In the first chapter, a brief insight about the basics of Raman spectroscopy, Raman chemical imaging, Raman mapping, and Raman imaging techniques has been provided. The second chapter contains details about the successful development of tailored sample of PLLA. Biodegradable polymers are used in areas of tissue engineering, agriculture, packaging, and in medical field for drug delivery, implant devices, and surgical sutures. Detailed information about the sample preparation and characterization of these cold-drawn PLLA polymer substrates has been provided. Wide-field Raman hyperspectral imaging using an acousto-optic tunable filter (AOTF) was demonstrated in the early 1990s. The AOTF contributed challenges such as image walk, distortion, and image blur. A wide-field AOTF Raman imaging system has been developed as part of my research and methods to overcome some of the challenges in performing AOTF wide-field Raman imaging are discussed in the third chapter. This imaging system has been used for studying the crystalline and amorphous regions on the cold-drawn sample of PLLA. Of all the different modalities that are available for performing Raman imaging, Raman point-mapping is the most extensively used method. The ease of obtaining the Raman hyperspectral cube dataset with a high spectral and spatial resolution is the main motive of performing this technique. As a part of my research, I have constructed a Raman point-mapping system and used it for obtaining Raman hyperspectral image data of various minerals, pharmaceuticals, and polymers. Chapter four offers information about the techniques used for characterization of pharmaceutical drugs and mapping of the crystalline domains in polymers. In addition, image processing algorithms that yield chemical-based image contrast have been designed to better enable quantitative estimates of chemical heterogeneity. Some of the problems that are needed to be solved for image processing and the need for developing a volumetric imaging system is discussed in chapter five.
John F. Turner II, Ph.D. (Committee Chair)
Xue-Long Sun, Ph.D. (Committee Member)
Aimin Zhou, Ph.D. (Committee Member)
Anthony J. Berdis, Ph.D. (Committee Member)
Petru S. Fodor, Ph.D. (Committee Member)
170 p.
Analytical Chemistry; Biomedical Engineering; Chemistry; Physics
Venkata N K Rao Bobba; Raman Imaging; Wide- filed AOTF Imaging; PLLA, Poly-L-lactic acid; Raman Point Mapping; Hyperspectral Imaging; Raman Chemical Imaging;

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Citations

  • Bobba, V. N. K. R. (2016). High Fidelity Raman Chemical Imaging of Materials [Doctoral dissertation, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1462806523

    APA Style (7th edition)

  • Bobba, Venkata Nagamalli Koteswara Rao. High Fidelity Raman Chemical Imaging of Materials. 2016. Cleveland State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=csu1462806523.

    MLA Style (8th edition)

  • Bobba, Venkata Nagamalli Koteswara Rao. "High Fidelity Raman Chemical Imaging of Materials." Doctoral dissertation, Cleveland State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=csu1462806523

    Chicago Manual of Style (17th edition)

csu1462806523
1,244
© 2016, all rights reserved.
This open access ETD is published by Cleveland State University and OhioLINK.