Measuring temperature in complex two-phase flows is crucial for understanding the dynamics of heat and mass transfer. In this Letter, we introduce a novel, to the best of our knowledge, optical approach based on the combination of two-photon laser-induced fluorescence (2p-LIF) imaging and two-color laser-induced fluorescence (2CLIF) for instantaneous temperature mapping of complex liquid media. Using Kiton Red (KR) and Rhodamine 560 (R560), a temperature sensitivity of 1.54/C has been achieved over a range of 17-60°C. The monitoring of two-dimensional transient temperature dynamics in the heating and degassing of water shows the efficiency of the 2p-2CLIF. This new approach contributes to the toolkit of optical temperature measurement techniques, providing a robust solution for studying transient scattering media and high-speed two-phase flows.
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http://dx.doi.org/10.1364/OL.516775 | DOI Listing |
Talanta
January 2025
Instituto de Historia (IH-CCHS), CSIC, C/ Albasanz 26-28, 28037, Madrid, Spain. Electronic address:
Analysis of glass-based artworks is important for authentication purposes. In recent years, there have been rapid advancements and improvements in the characterization of glass objects using different analytical approaches. The present study presents an interdisciplinary and multi-analytical authentication approach that provides useful tools and markers to unmask possible imitations, counterfeiting, and forgeries in Cultural Heritage glass beads by comparing the composition of historical and modern glass beads.
View Article and Find Full Text PDFCompr Rev Food Sci Food Saf
January 2025
School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China.
Raman spectroscopy, a nondestructive optical technique that provides detailed chemical information, has attracted growing interest in the food industry. Complementary spectroscopic methods, such as near-infrared (NIR) spectroscopy, nuclear magnetic resonance (NMR), terahertz (THz) spectroscopy, laser-induced breakdown spectroscopy (LIBS), and fluorescence spectroscopy (Flu), enhance Raman spectroscopy's capabilities in various applications. The integration of Raman with these techniques, termed "Raman plus X," has shown significant potential in agri-food analysis.
View Article and Find Full Text PDFTalanta
December 2024
Institute of Analytical Chemistry of the Czech Academy of Sciences, Veveri 97, 602 00, Brno, Czech Republic. Electronic address:
In this work, we present the synthesis and application of fluorescent rhodamine B hydrazide for the derivatization of simple oligosaccharides and complex glycans using a hydrazone formation chemistry approach. The labeling conditions and the experimental setup of CE/LIF were optimized by analyzing oligosaccharide standards. The CE/LIF separations were performed in polybrene-coated capillaries eliminating the need for the purification step after derivatization.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
December 2024
Saha's Spectroscopy Laboratory, Department of Physics, University of Allahabad, Prayagraj, India.
The present study demonstrates the applicability of non-destructive and rapid spectroscopic techniques, specifically laser-induced fluorescence, ultraviolet-visible, and confocal micro-Raman spectroscopy, as non-invasive, eco-friendly, and robust multi-compound analytical methods for assessing biochemical changes in maize seedling leaves resulting from the treatment of aluminium oxide nanoparticles. The recorded fluorescence spectrum of the leaves shows that the treatment of different concentration of aluminium oxide nanoparticles decreases the chlorophyll content as observed by the increase in fluorescence emission intensity ratio (FIR = I/I). The analysis of ultraviolet-visible absorption measurements reveals that the amount of chlorophyll a, chlorophyll b, total chlorophyll and carotenoid decrease for treated plants with respect to untreated seedlings.
View Article and Find Full Text PDFAppl Spectrosc
December 2024
Nuclear Mission Branch, Air Force Research Laboratory, Kirtland AFB, New Mexico, USA.
This work implements a mid-level data fusion methodology on spectral data from handheld X-ray fluorescence and laser-induced breakdown spectroscopy analyzers to quantify plutonium surrogate (CeO) contamination in soil samples for the first time. Spectral data from each analyzer were used independently to train supervised machine learning regressions to predict Ce concentration. Fused features from both data sets were then used to train the same models, comparing prediction performance by evaluating model precision and sensitivity.
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