Dissertations / Theses on the topic 'Near infrared spectroscopy'
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Summerfield, Stephen. "Near infrared fluorescence spectroscopy." Thesis, Loughborough University, 1993. https://dspace.lboro.ac.uk/2134/10601.
Full textWruck, Eric Michael. "Applying near-infrared spectroscopy (nirs)." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2386.
Full textEnnico, Kimberly Ann. "Near infrared faint object spectroscopy." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.625052.
Full textAngus, Caroline. "Near infrared spectroscopy and exercise." Thesis, University of Essex, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274298.
Full textPrestwich, Andrea Heather. "Near infrared spectroscopy of galaxies." Thesis, Imperial College London, 1989. http://hdl.handle.net/10044/1/47622.
Full textWilliams, David James. "Near infrared spectroscopy in cerebrovascular disease." Thesis, University of Bath, 2002. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426180.
Full textTodd, Stephen Peter. "Near-infrared integral field spectroscopy with UIST." Thesis, University of Edinburgh, 2004. http://hdl.handle.net/1842/27542.
Full textCasselgren, Johan. "Road surface classification using near infrared spectroscopy." Licentiate thesis, Luleå : Luleå University of Technology, 2007. http://epubl.ltu.se/1402-1757/2007/42/LTU-LIC-0742-SE.pdf.
Full textKelly, Douglas Michael. "Near-infrared spectroscopy as an astrophysical tool." Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/185983.
Full textGresham, Christopher Allen 1965. "Near-infrared spectroscopy utilizing array detector technology." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282690.
Full textMiller, Charles Edward. "Analysis of synthetic polymers by near-infrared spectroscopy /." Thesis, Connect to this title online; UW restricted, 1989. http://hdl.handle.net/1773/11580.
Full textHoward, Daryl L., and n/a. "Hydrogen bonding in the near infrared." University of Otago. Department of Chemistry, 2006. http://adt.otago.ac.nz./public/adt-NZDU20060823.150321.
Full textTaylor, Helen Ruth, University of Western Sydney, and School of Food Sciences. "The evaluation of wort by near infrared spectroscopy." THESIS_FFS_XXX_Taylor_H.xml, 2001. http://handle.uws.edu.au:8081/1959.7/748.
Full textMaster of Science (Hons)
Bashir, Zareen. "Applications of near infrared spectroscopy in cerebral monitoring." Thesis, University of Manchester, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488409.
Full textAssi, Sulaf. "Identification of counterfeit medicines by near-infrared spectroscopy." Thesis, University of London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528237.
Full text鄧勇軍 and Yung-kwan Tang. "Application of near-infrared spectroscopy in food compositionanalysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31219962.
Full textAbebe, Solomon Befekadu. "Monitoring batch crystallisation processes using near infrared spectroscopy." Thesis, University of Leeds, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446057.
Full textVaidyanathan, Seetharaman. "Monitoring submerged mycelial bioprocesses using near-infrared spectroscopy." Thesis, University of Strathclyde, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248359.
Full textSockalingum, Dhruvananda. "Surface enhanced Raman spectroscopy in the near-infrared." Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315640.
Full textTorres, Daniel André Gonçalves. "Feasibility of near infrared spectroscopy in stroke patients." Master's thesis, Universidade da Beira Interior, 2012. http://hdl.handle.net/10400.6/1067.
Full textPedrosa, Elisabete Trindade. "Near-infrared spectroscopy for estimating soil burn severity." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/10708.
Full textForest fires are a natural phenomenon and occurred long before human kind was around, serving important ecosystem functions. In the past decades, however, some parts of the world have seen marked increases in the frequency and spatial extent of wildfires. This includes Portugal, where forest fires have, on average, affected 100.000 ha of rural lands per year since the mid1970s. In general, the direct and indirect effects of fires depend strongly on the temperatures to which vegetation and soil are exposed. In the case of wildfires – as opposed to prescribed burning or experimental fires - these temperatures can hardly ever be measured. Therefore, wildfire impacts are commonly assessed using proxies based on the consumption of the vegetation and the colour of the ashes deposited on the soil surface. These so-called burn severity indices typically provide qualitative estimates, distinguishing between low, medium and high severity. Recently, however, near- infrared (NIR) reflectance spectroscopy was successfully applied to estimate the maximum temperatures reached (MTR) by soils heated under laboratory conditions. The present study wanted to explore the potential of NIR for estimating MTR in soils burnt by wildfires. To this end, the work addressed two main topics: (i) spatial variability in the relationships between soil heating temperatures in a muffle and the corresponding NIR-based MTR estimates, both between and within study sites; (ii) the importance of this spatial variability in estimating MTRs of wildfire-burnt soil samples. A number of NIR-based models was constructed and used to predict the known MTR of laboratory-heated soil samples. One of the two long-unburnt study sites revealed marked variability over short distances, whereas the other did not. The models based on larger sample numbers, however, provided robust MTR predictions, even when these models involved samples from the two study sites. This probably reflected the sites comparable parent materials, soils and land cover (eucalypt plantations in schist soils). The best achieved models were used to estimate MTR by soil samples from a wildfire occurred in the central-north of Portugal, in the year 2010.. According to the index proposed in this work and the maximum temperatures reached estimations, the soil burn severity of the studied sites was moderate to high in surface samples, and low to moderate in the sub-surface samples.
Taylor, Helen Ruth. "The evaluation of wort by near infrared spectroscopy." Thesis, View thesis, 2001. http://handle.uws.edu.au:8081/1959.7/748.
Full textTaylor, Helen Ruth. "The evaluation of wort by near infrared spectroscopy /." View thesis, 2001. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030717.141010/index.html.
Full text"A thesis submitted in partial fulfilment of the requirements for the degree of Master of Science (Honours), University of Western Sydney, Hawkesbury" Bibliography : leaves 60-66.
Cowley, Richard D. "The clinical applications of near infrared spectroscopy (NIRS)." Thesis, University of Manchester, 2003. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488355.
Full textSamamad, Nancy Taera Ibraimo. "Cashew apple quality by near infrared spectroscopy technique." Universidade Federal de Viçosa, 2016. http://www.locus.ufv.br/handle/123456789/8350.
Full textMade available in DSpace on 2016-08-17T18:47:10Z (GMT). No. of bitstreams: 1 texto completo.pdf: 1087445 bytes, checksum: 5455e17b910bc123ebaf158d92ef3bce (MD5) Previous issue date: 2016-03-08
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O cajueiro (Anacardium occidentale L.) é uma planta de grande importância econômica para o Nordeste brasileiro, pela diversidade de produtos e quantidade de empregos gerados. A crescente demanda por produtos saudáveis associados ao aumento no consumo do caju de mesa incentivou o desenvolvimento de tecnologias para monitorar os critérios de qualidade. Esses critérios são determinados por meio de análises destrutivas, que são normalmente demoradas, com custos altos e não leva em consideração a variabilidade individual do caju. Visando substituir essas análises, a espectroscopia de infravermelho próximo (NIRS) permite a determinação simultânea e não destrutiva de vários atributos de qualidade. NIRS é uma técnica rápida que correlaciona as propriedades de absorção de energia em regiões do espectro electromagnético com a composição e concentração de moléculas através de modelos de regressão desenvolvidos por meio da quimiometria. O objetivo deste estudo foi desenvolver modelos preditivos em NIRS para o dispositivo de bancada e portátil visando estimar propriedades físico-químicas tais como firmeza, pH, sólidos solúveis totais (TSS), açúcares solúveis (SSC), acidez titulável (TA), sabor, ácido ascórbico (vitamina C), carotenóides, flavonóides totais, polifenóis extraíveis totais (TEP) e atividade antioxidante para o monitoramento da qualidade do pedúnculo de caju. Para o dispositivo de bancada, os modelos foram construídos com 34 amostras de 17 genótipos a partir de espectros coletados no modo de refletância. Os modelos preditivos obtidos para firmeza e pH apresentaram valores de coeficiente de determinação para validação cruzada (R2CV) de 0.92 e 0.84, respectivamente, enquanto que para os coeficientes de determinação para a validação externa (R2P) foram de 0.87 para firmeza e 0.78 para pH. A relação do desempenho do desvio para validação cruzada (RPDCV) apresentaram valores de 3.0 e 2.4 e, para a validação externa (RPDP) se obtiveram valores de 2.4 e 2.2 para firmeza e pH, respectivamente, indicando boa capacidade de predição. Para as variáveis do metabolismo primário, os valores obtidos para o R2CV foram de 0.86 para SSC, 0.83 para TSS, 0.90 para TA e de 0.80 para sabor, sendo que os valores de R2P foram de 0.78, 0.75, 0.85 e 0.73, respectivamente. Os valores apresentados para RPDCV foram, respectivamente, de 2.6, 2.4, 3.1 e 2.1 para SSC, TSS, TA e sabor, enquanto que os valores de RPDP foram de 2.0 para SSC e TSS, 3.0 para TA e 1.8 para sabor. No metabolismo secundário, foram obtidos modelos com valores de 0.87 para R2CV e de 0.85 R2P para vitamina C, apresentando boa capacidade de predição tanto para validação cruzada como para validação externa, com valores de RPDCV e de RPDP de 2.6 e 2.8. Para carotenoides, modelos com R2CV e R2P de 0.89 e 0.79 foram obtidos, com RPDCV e de RPDP 2.9 e 2.0, respectivamente, enquanto que para flavonóides totais, foram obtidos valores de 0.86 para ambos R2CV e R2P e, valores de RPDCV de 2.6 e de 2.0 para RPDP. Modelos obtidos para TEP tiveram valores 0.90 para R2CV e de 0.89 para R2P, bem como valores de RPDCV de 3.2 e 2.5 de RPDP, sendo que para atividade antioxidante foram obtidos modelos com valores de R2CV e R2P de 0.87 e de 0.81, respectivamente, com valores de RPDCV de 2.7 e 2.2 para RPDP. Para o dispositivo portátil, foram obtidos modelos preditivos de 75 amostras provenientes de 21 diferentes genótipos sendo que para firmeza, pH, TSS, TA, sabor e vitamina C os valores de R2CV foram de 0.77, 0.75, 0.90, 0.85, 0.80 e 0.89, respectivamente com a média do erro relativo de -1.1%, 0.2%, 0.5%, -1.3%, 2.6% e 4.9%. Para essas variáveis, foram obtidos valores de coeficientes de determinação para previsão (R2P) de 0.76, 0.72, 0.88, 0.85, 0.82 e 0.83 com os coeficientes de variabilidade do erro padrão de previsão (SEP) de 18.2%, 3.0%, 5.6%, 19.6%, 15.4% e 12.1%. Além destes, realizou-se um experimento de monitoramento de qualidade do caju de mesa refrigerado por NIRS ao longo de nove dias. Foram utilizados quatro genótipos com três repetições onde se avaliou TSS, vitamina C e pH analisados em parcelas subdividida no tempo.
The cashew tree (Anacardium occidentale L.) is a plant with great economic importance for the Brazilian Northeast, due to diversity of products and the amount of jobs generated. Growing demand for healthy products associated an increase in table cashew consumption encouraged the development of technologies to monitor quality criteria. These criteria are determined by destructive analyses, which are usually time-consuming, with high costs and do not take into account the individual cashew variability. Aiming to replace these analyses, the near-infrared spectroscopy (NIRS) allows simultaneous and nondestructive determination of multiple quality attributes. NIRS is a rapid technique that correlates the energy absorption properties in regions of the electromagnetic spectrum with the composition and concentration of molecules through regression models developed by chemometrics. The aim of this study was to develop predictive models in NIRS for bench top and portable device to estimate physical-chemical properties such as firmness, pH, total soluble solids (TSS), soluble sugars (SSC), titratable acidity (TA), flavor, ascorbic acid (vitamin C), carotenoids, total flavonoids, total extractable polyphenols (TEP) and antioxidant activity for monitoring cashew apple quality. For the bench device, the models were constructed with 34 genotypes of 17 samples collected from the reflectance spectra mode. The predictive models obtained for firmness and pH showed determination coefficient values for cross-validation (R2CV) of 0.92 and 0.84, respectively, while for external validation or prediction, coefficients of determination (R2P) were 0.87 for firmness and 0.78 for pH. The residual prediction deviation of cross-validation (RPDCV) have presented values of 3.0 e 2.4 and for external validation values of 2.4 and 2.2 were obtained for firmness and pH, respectively, indicating a good predictive ability. For variables of primary metabolism, the obtained values for R2CV were 0.86 for SSC, 0.83 for TSS, 0.90 for TA and 0.80 for flavor and the R2P values were respectively of 0.78, 0.75, 0.85 and 0.73. The presented RPDCV values were 2.6, 2.4, 3.1 and 2.1 for SSC, TSS, TA and flavor, while RPDP obtained values were 2.0 for SSC and TSS, 3.0 for TA and 1.8 for flavor. In secondary metabolism, models with 0.87 values for R2CV were obtained with R2P of 0.85 for vitamin C. These models presented good ability to predict both cross-validation and external validation with RPDCV and RPDP values of 2.6 and 2.8, respectively. Carotenoids models presented R2CV and R2P values of 0.89 and 0.79, with RPDCV and RPDP of 2.9 and 2.0, respectively, while for total flavonóides, models were obtained with values of 0.86 for both R2CV and R2P as well as RPDCV values of 2.6 and 2.0 to RPDP. Models obtained for TEP has presented values of 0.90 for R2CV and 0.89 to R2P and RPDCV values of 3.2 as well as 2.5 for RPDP. Antioxidant activity models were obtained with R2CV and R2P values of 0.87 and 0.81, respectively, and RPDCV values of 2.7 and 2.2 for RPDP. For portable device predictive models, 75 samples from 21 different genotypes were collected and evaluated of which firmness, pH, TSS, TA, flavor and vitamin C presented R2CV values of 0.77, 0.75, 0.90, 0.85, 0.80 and 0.89, respectively, with the average relative error of -1.1%, 0.2%, 0.5%, -1.3%, 2.6% and 4.9%. For these variables were obtained coefficients of determination values for prediction (R2P) of 0.76, 0.72, 0.88, 0.85, 0.82 and 0.83 with standard error of prediction (SEP) coefficient of variability of 18.2%, 3.0%, 5.6%, 19.6%, 15.4% and 12.1%. Besides these, a quality monitoring experiment in cold storage was evaluated by NIRS over nine days. Four genotypes were used with tree repetitions for TSS, vitamin C and pH assessment evaluated in split plot in time.
Ranasinghe, Pathirajage Sanjeewa Rasika K. "Nocturnal hypoglycemic alarm based on near-infrared spectroscopy." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/4731.
Full textDing, Haibiao. "Application of near infrared spectroscopy in meat quality assessment /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21021296.
Full textTang, Yung-kwan. "Application of near-infrared spectroscopy in food composition analysis /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1973766X.
Full text丁海標 and Haibiao Ding. "Application of near infrared spectroscopy in meat quality assessment." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31238403.
Full textBalkenhol, Michelle Rose. "Visible and near infrared reflectance spectroscopy of irregular solids /." Thesis, Connect to this title online; UW restricted, 1992. http://hdl.handle.net/1773/8493.
Full textSayita, Yusuf. "Classification Of Migraineurs Using Functional Near Infrared Spectroscopy Data." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614184/index.pdf.
Full textve Bayes classifier and k Nearest Neighbor classifier are utilized with and with-out Principal Component Analysis in separate trials. Results obtained are compared within each other using statistical hypothesis tests namely Mc Nemar and Cochran Q.
Esteve, Agelet Lidia. "Permeation studies of PVC pipes with near infrared spectroscopy." [Ames, Iowa : Iowa State University], 2006.
Find full textPersson, Jan. "Stream monitoring using near-infrared spectroscopy of epilithic material." Licentiate thesis, Umeå : Ecology and Environmental Science, Umeå University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1154.
Full textShadgan, Babak. "Monitoring of skeletal muscle ischemia using near infrared spectroscopy." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/32630.
Full textMayfield, Angela Raye. "Characterization of textile materials by near-infrared relectance spectroscopy." Thesis, Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/8616.
Full textMolavi, Behnam. "Near infrared spectroscopy : novel signal processing methods and applications." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45353.
Full textManley, Marena. "Wheat hardness by near infrared (NIR) spectroscopy : new insights." Thesis, University of Plymouth, 1995. http://hdl.handle.net/10026.1/2542.
Full textLister, Susan Jane. "Determination of silage composition using near infrared reflectance spectroscopy." Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260701.
Full textYeung, Ken Shu Ying. "Near infrared spectroscopy technique for bioprocess monitoring and control." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286892.
Full textGermon, Timothy John. "The validation of cerebral near infrared spectroscopy in adults." Thesis, University of Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299334.
Full textBarker, Tom. "The military applications of near infrared spectroscopy in trauma." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6732/.
Full textKlesman, Alison J. (Alison June) 1981. "Comet-asteroid differentiation using visible and near-infrared spectroscopy." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28610.
Full textIncludes bibliographical references (leaves 40-42).
Comets have historically been defined as objects that experience the formation of a "head" (coma) or "tail" as ice and other volatiles that comprise their chemical makeup vaporize when they near the sun. Comets can lose this ability to form a coma or tail, however, through a variety of dynamical processes, creating objects that could chemically be comets but that do not fit the traditional definition. Thus, a new challenge has arisen to correctly define the properties that differentiate comets and asteroids. In this study, a number of cometary candidates were observed in visible and infrared wavelengths in an attempt to correctly classify them as asteroids or dormant or extinct comets. From this data, two groups of objects were identified: one group of possible cometary candidates, and one group of likely outer asteroid belt origin objects. From this and other studies, a broader picture of solar system dynamics can be achieved that will give much insight into not only the current dynamical processes that control interplanetary bodies, but also processes that were important in the formation and stratification of the solar system at its birth.
by Alison J. Klesman.
S.M.
Alfeeli, Bassam. "Miniature gas sensing device based on near-infrared spectroscopy." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/35911.
Full textMaster of Science
Kopicky, Stephen Edward. "The Use of Near Infrared Spectroscopy in Rubber Quantification." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406122474.
Full textMontes, Juan Manuel. "Application of near-infrared spectroscopy in plant breeding programs." [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-1735.
Full textWetterlind, Johanna. "Improved farm soil mapping using near infrared reflection spectroscopy." Uppsala : Dept. of Soil and Environment, Swedish University of Agricultural Sciences, 2009. http://epsilon.slu.se/200968.pdf.
Full textHowell, Ellen Susanna. "Probing asteroid composition using visible and near-infrared spectroscopy." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187372.
Full textBOBBA, SERENA. "Near-Infrared Spectroscopy for Freeze-Drying: Applications for Pharmaceuticals." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2957736.
Full textMayes, David M. "Applications of a photodiode array spectrophotometer for the short wavelength near-infrared region (700-1100 nm) /." Thesis, Connect to this title online; UW restricted, 1990. http://hdl.handle.net/1773/11567.
Full textÖztürk, Betül Özerdem Durmuş. "Monitoring the esterification reactions of carboxylic acids with alcohols using near-infrared spectrocopy and multivariate calibration methods/." [s.l.]: [s.n.], 2003. http://library.iyte.edu.tr/tezler/master/kimya/T000277.pdf.
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