Masters Theses

Bohong Zhang

Abstract

"Raman scattering is called a photonic - molecular interaction based on the kinetic model of the analytic. Due to the uniqueness of the Raman scattering technique, it can provide a unique fingerprint signal for molecular recognition. However, a serious challenge often encountered in Raman measurement comes from the requirements of fast, real-time remote sensing, background fluorescence suppression, and micro-environmental detection.

A new Miniaturized Fiber-Optic Raman Probe (MFORP) for Raman spectroscopy, used especially for eliminating background fluorescence and enhancing sampling, is presented. Its main purpose is to provide an overview of excellent research on the detection of very small substances and to address the drawbacks of modern optical fiber Raman sensors that cannot be separated from background fluorescence interference. After a brief introduction of the traditional fiber Raman technology, the experimental operation of the design optimization of the new MFORP was discussed. We successfully combined several multi-mode fibers as one fiber taper for Raman spectral analysis by using the fiber tapering technique. The sensing principle and the fabrication of MFORP were discussed. In order to verify that MFORP is a better solution, we used traditional Fiber-Optic Raman sensor and MFORP to experiment on a variety of materials and compare the experimental results. We observed that MFORP not only effectively removes the background fluorescence of the fiber itself, but also improves the energy collection of the Raman spectrum, which provides an argument"--Abstract, page iii.

Advisor(s)

Huang, Jie

Committee Member(s)

Watkins, Steve Eugene, 1960-
Esmaeelpour, Mina

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2021

Pagination

ix, 34 pages

Note about bibliography

Includes bibliographic references (pages 30-33).

Rights

© 2021 Bohong Zhang, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11860

Electronic OCLC #

1262322235

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