The analysis of time-resolved optical waveguide absorption spectroscopy based on positive matrix factorization

[Display omitted] •Time-resolved OWAS was applied for in situ monitoring.•The strategy of Meisenheimer complex between Cysteine and TNT was used to detect TNT.•PMF was introduced to extract feature of time-resolved OWAS.•PCA was introduced for the comparison with PMF.•PMF will provide a valuable ana...

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Published inJournal of colloid and interface science Vol. 403; pp. 134 - 141
Main Authors Liu, Ping, Li, Zhu, Li, Bo, Shi, Guolong, Li, Minqiang, Yu, Daoyang, Liu, Jinhuai
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Inc 01.08.2013
Elsevier
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Summary:[Display omitted] •Time-resolved OWAS was applied for in situ monitoring.•The strategy of Meisenheimer complex between Cysteine and TNT was used to detect TNT.•PMF was introduced to extract feature of time-resolved OWAS.•PCA was introduced for the comparison with PMF.•PMF will provide a valuable analysis route to process the OWAS. Time-resolved optical waveguide absorption spectroscopy (OWAS) makes use of an evanescent field to detect the polarized absorption spectra of sub-monomolecular adlayers. This technique is suitable for the investigation of kinetics at the solid/liquid interface of dyes, pigments, fluorescent molecules, quantum dots, metallic nanoparticles, and proteins with chromophores. In this work, we demonstrate the application of positive matrix factorization (PMF) to analyze time-resolved OWAS for the first time. Meanwhile, PCA is researched to compare with PMF. The absorption/desorption kinetics of Rhodamine 6G (R6G) onto a hydrophilic glass surface and the dynamic process of Meisenheimer complex between Cysteine and TNT are selected as samples to verify experimental system and analytical methods. The results are shown that time-resolved OWAS can well record the absorption/desorption of R6G onto a hydrophilic glass surface and the dynamic formation process of Meisenheimer complexes. The feature of OWAS extracted by PMF is dynamic and consistent with the results analyzed by the traditional function of time/wavelength-absorbance. Moreover, PMF prevents the negative factors from occurring, avoids contradicting physical reality, and makes factors more easily interpretable. Therefore, we believe that PMF will provide a valuable analysis route to allow processing of increasingly large and complex data sets.
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ISSN:0021-9797
1095-7103
DOI:10.1016/j.jcis.2013.03.035