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Rajeev Ram. Gil, Gustavo Adolfo Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2007-03-12T17:50:56Z 2007-03-12T17:50:56Z 2005 2005 http://hdl.handle.net/1721.1/36757 78616168 Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. Author received the S.B. degree, June 2005 and the M. Eng. degree, Sept. 2005. Includes bibliographical references (p. 195-202). Online monitoring of bioprocesses is essential to expanding the potential of biotechnology. In this thesis, a system to estimate concentrations of chemical components of an Escherichia Coli fermentation growth medium via a remote fiber-optic Raman spectroscopy probe was studied in depth. The system was characterized to determine sources of instability and systematic error. A complete first-order error analysis was conducted to determine the theoretical sensitivity of the instrument. A suite of improvements and new features, including an online estimation of optical density and biomass, a method to correct for wavelength shifts, and a setup to increase repeatability and throughput for offline and calibration methods was developed accordingly. The theoretical and experimental ground work for developing a correction for spectrum distortions caused by elastic scattering, a fundamental problem for many spectroscopic applications, was laid out. In addition, offline Raman spectroscopy was used to estimate concentrations of fructose, glucose, sucrose, and nitrate in an oil palm (Elais guineensis) bioreaction. Finally, an expansion of optical techniques into new scale-up applications in plant cell bioprocesses, such as plant call differentiation was explored. by Gustavo Adolfo Gil. M.Eng. S.B. 202 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Electrical Engineering and Computer Science. Online Raman spectroscopy for bioprocess monitoring Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="ad96a0c3-a478-4554-a996-9cbb74c3ca8b"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Online Raman spectroscopy for bioprocess monitoring</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2005</PublicationDate> <Authors> <Author> <DisplayName>Gil, Gustavo Adolfo</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>Online monitoring of bioprocesses is essential to expanding the potential of biotechnology. In this thesis, a system to estimate concentrations of chemical components of an Escherichia Coli fermentation growth medium via a remote fiber-optic Raman spectroscopy probe was studied in depth. The system was characterized to determine sources of instability and systematic error. A complete first-order error analysis was conducted to determine the theoretical sensitivity of the instrument. A suite of improvements and new features, including an online estimation of optical density and biomass, a method to correct for wavelength shifts, and a setup to increase repeatability and throughput for offline and calibration methods was developed accordingly. The theoretical and experimental ground work for developing a correction for spectrum distortions caused by elastic scattering, a fundamental problem for many spectroscopic applications, was laid out. In addition, offline Raman spectroscopy was used to estimate concentrations of fructose, glucose, sucrose, and nitrate in an oil palm (Elais guineensis) bioreaction. Finally, an expansion of optical techniques into new scale-up applications in plant cell bioprocesses, such as plant call differentiation was explored.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>