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Development of Raman Spectroscopy Methods for Point-of-Need Sensing Applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development of Raman Spectroscopy Methods for Point-of-Need Sensing Applications /Taylor Dawn Payne.
Author:	Payne, Taylor Dawn,
Description:	1 electronic resource (193 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-04, Section: A.
Notes:	Advisors: Schultz, Zachary Committee members: Co, Anne; Kohler, Bern; Cheavens, Jennifer.
Contained By:	Dissertations Abstracts International86-04A.
Subject:	Chemistry.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31693678
ISBN:	9798384460374

Development of Raman Spectroscopy Methods for Point-of-Need Sensing Applications /
Payne, Taylor Dawn,

Development of Raman Spectroscopy Methods for Point-of-Need Sensing Applications /Taylor Dawn Payne. - 1 electronic resource (193 pages)

Source: Dissertations Abstracts International, Volume: 86-04, Section: A.

My dissertation research develops Raman spectroscopy-based sensors to measure aspects of human and plant health or disease states at the point of need, specifically in areas where current sensing methods are insufficient. The first main project area involves monitoring plant health, specifically soil ecology, in real time without harvesting the plant. Sensors are needed to non-invasively observe chemical changes expressed in plant leaves which result from nutrition conditions in the soil. These sensors would be especially useful to inform fertilization practices, increasing efficiency and sustainability. The second major project area focuses on developing a rapid and accurate diagnostic assay for COVID-19. The limitations of established testing methods, such as at-home antigen tests and polymerase chain reaction (PCR) assays, motivate the exploration of alternative techniques that do not sacrifice accuracy for speed. To tackle these sensing challenges, my research employs Raman spectroscopy, which uses light to probe the molecular composition of a sample. Each molecule has a unique Raman signature, and Raman signal is proportional to the concentration of molecules present in the sample, making the technique highly advantageous for identification and quantification. Raman signals can be collected quickly and non-destructively with minimal sample preparation. To detect low concentrations of analytes or poorly scattering analytes, we use surface enhanced Raman spectroscopy (SERS), a technique in which metal nanostructures amplify the Raman signals of the molecules near the nanostructures.Overall, this dissertation work focuses on optimizing portable Raman and SERS methods to non-invasively assess plant health and to detect COVID, all in a matter of seconds. Chapter 1 introduces the background and motivation for these projects, as well as the analytical techniques used to address them. Chapter 2 describes the development of handheld Raman techniques to monitor the changes in Raman signals from photosynthetic pigments in leaves depending on the soil environment. Chapter 3 details the design of thin layer chromatography (TLC)- Raman methods to separate and quantify these photosynthetic pigments in leaf extracts. Chapter 4 explores the engineering of peptide-modified gold nanostructures to simultaneously capture and yield SERS identification of the virus that causes COVID-19. Chapter 5 discusses the optimization of portable SERS methods to increase the accessibility and field-applicability of the COVID sensor. Finally, Chapter 6 provides a summary of the work outlined in this dissertation, along with an outlook on its potential implications for the scientific community. These handheld Raman sensors will ultimately improve the speed and accuracy of viral diagnostics, increase agricultural efficiency with respect to crop health, and inspire the use of Raman spectroscopy for future on-the-spot sensing applications.

English

ISBN: 9798384460374Subjects--Topical Terms:

188628
Chemistry.
Subjects--Index Terms:

Raman spectroscopy

Development of Raman Spectroscopy Methods for Point-of-Need Sensing Applications /
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520 $a My dissertation research develops Raman spectroscopy-based sensors to measure aspects of human and plant health or disease states at the point of need, specifically in areas where current sensing methods are insufficient. The first main project area involves monitoring plant health, specifically soil ecology, in real time without harvesting the plant. Sensors are needed to non-invasively observe chemical changes expressed in plant leaves which result from nutrition conditions in the soil. These sensors would be especially useful to inform fertilization practices, increasing efficiency and sustainability. The second major project area focuses on developing a rapid and accurate diagnostic assay for COVID-19. The limitations of established testing methods, such as at-home antigen tests and polymerase chain reaction (PCR) assays, motivate the exploration of alternative techniques that do not sacrifice accuracy for speed. To tackle these sensing challenges, my research employs Raman spectroscopy, which uses light to probe the molecular composition of a sample. Each molecule has a unique Raman signature, and Raman signal is proportional to the concentration of molecules present in the sample, making the technique highly advantageous for identification and quantification. Raman signals can be collected quickly and non-destructively with minimal sample preparation. To detect low concentrations of analytes or poorly scattering analytes, we use surface enhanced Raman spectroscopy (SERS), a technique in which metal nanostructures amplify the Raman signals of the molecules near the nanostructures.Overall, this dissertation work focuses on optimizing portable Raman and SERS methods to non-invasively assess plant health and to detect COVID, all in a matter of seconds. Chapter 1 introduces the background and motivation for these projects, as well as the analytical techniques used to address them. Chapter 2 describes the development of handheld Raman techniques to monitor the changes in Raman signals from photosynthetic pigments in leaves depending on the soil environment. Chapter 3 details the design of thin layer chromatography (TLC)- Raman methods to separate and quantify these photosynthetic pigments in leaf extracts. Chapter 4 explores the engineering of peptide-modified gold nanostructures to simultaneously capture and yield SERS identification of the virus that causes COVID-19. Chapter 5 discusses the optimization of portable SERS methods to increase the accessibility and field-applicability of the COVID sensor. Finally, Chapter 6 provides a summary of the work outlined in this dissertation, along with an outlook on its potential implications for the scientific community. These handheld Raman sensors will ultimately improve the speed and accuracy of viral diagnostics, increase agricultural efficiency with respect to crop health, and inspire the use of Raman spectroscopy for future on-the-spot sensing applications.
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