Measuring the size distribution and temperature of high-temperature dispersed particles, particularly in-flame soot, holds paramount importance across various industries. Laser-induced incandescence (LII) stands out as a potent non-contact diagnostic technology for in-flame soot, although its effectiveness is hindered by uncertainties associated with pre-determined thermal properties. To tackle this challenge, our study proposes a multi-parameter inversion strategy-simultaneous inversion of particle size distribution, thermal accommodation coefficient, and initial temperature of in-flame soot aggregates using time-resolved LII signals. Analyzing the responses of different heat transfer sub-models to temperature rise demonstrates the necessity of incorporating sublimation and thermionic emission for accurately reproducing LII signals of high-temperature dispersed particles. Consequently, we selected a particular LII model for the multi-parameter inversion strategy. Our research reveals that LII-based particle sizing is sensitive to biases in the initial temperature of particles (equivalent to the flame temperature), underscoring the need for the proposed multi-parameter inversion strategy. Numerical results obtained at two typical flame temperatures, 1100 K and 1700 K, illustrate that selecting an appropriate laser fluence enables the simultaneous inversion of particle size distribution, thermal accommodation coefficient, and initial particle temperatures of soot aggregates with high accuracy and confidence using the LII technique.
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http://dx.doi.org/10.3390/ma17030634 | DOI Listing |
NMR Biomed
February 2025
MR Methodology, Department for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
The purpose of this study was to produce metabolite-specific T and concentration maps in a clinically compatible time frame. A multi-TE 2D MR spectroscopic imaging (MRSI) experiment (multi-echo single-shot MRSI [MESS-MRSI]) deployed truncated and partially sampled multi-echo trains from single scans and was combined with simultaneous multiparametric model fitting. It was tested in vivo for the brain in five healthy subjects.
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December 2024
Department of Pharmaceutics, SRM College of Pharmacy, SRMIST, Kattankulathur, Chennai, Tamil Nadu, India.
The current study aimed to improve the oral bioavailability of tenofovir (TNF), an antihuman immunodeficiency viral (HIV) drug, by integrating it into solid lipid nanoparticles (SLNs), an emerging lipid formulation. The suggested SLNs were generated utilizing the microemulsion process, using Compritol 888 ATO. A Box-Behnken experimental design was attempted to analyze the impact of critical quality attributes (CQAs), such as lipid and surfactant content and homogenization duration on response metrics such as particle size (PS) and percentage entrapment.
View Article and Find Full Text PDFZookeys
December 2024
Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama, USA.
Solenogastres is a group of mollusks with evolutionary and ecological importance. Nevertheless, their diversity is underestimated and knowledge about the distribution of the approximately 300 formally described species is limited. Factors that contribute to this include their small size and frequent misidentification by non-specialists.
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January 2025
Ecole Nationale Supérieure de Chimie de Paris, Université PSL, CNRS, Institute of Chemistry for Life and Health Sciences, 75 005 Paris, France.
In this contribution, we examine the interplay between target definition, data distribution, featurization approaches, and model architectures on graph-based deep learning models for thermodynamic property prediction. Through consideration of five curated data sets, exhibiting diversity in elemental composition, multiplicity, charge state, and size, we examine the impact of each of these factors on model accuracy. We observe that target definition, i.
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
Department of Chemistry and Biochemistry, Northern Illinois University, 1425 W. Lincoln Highway, DeKalb, IL, USA.
Room temperature ionic liquids (RTILs) are interesting due to their myriad uses in fields such as catalysis and electrochemistry. Their properties are intimately related to their structures, yet structural understanding is difficult to achieve. This work presents a derivation of an approximate expression for the radial distribution function, ().
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