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Integrating Particle Motion Tracking into Thermal Gel Electrophoresis for Label-Free Sugar Sensing.
ACS Sens
January 2025
Department of Chemistry, Wayne State University, 5101 Cass Ave, Detroit, Michigan 48202, United States.
Bioanalytical sensors are adept at quantifying target analytes from complex sample matrices with high sensitivity, but their multiplexing capacity is limited. Conversely, analytical separations afford great multiplexing capacity but typically require analyte labeling to increase sensitivity. Here, we report the development of a separation-based sensor to sensitively quantify unlabeled polysaccharides using particle motion tracking within a microfluidic electrophoresis platform.
View Article and Find Full Text PDFSpatiotemporal Spectroscopy of Fast Excited-State Diffusion in 2D Covalent Organic Framework Thin Films.
J Am Chem Soc
January 2025
Department of Chemistry and Center for NanoScience (CeNS), University of Munich (LMU), Butenandtstraße 5-13, Munich 81377, Germany.
Covalent organic frameworks (COFs), crystalline and porous conjugated structures, are of great interest for sustainable energy applications. Organic building blocks in COFs with suitable electronic properties can feature strong optical absorption, whereas the extended crystalline network can establish a band structure enabling long-range coherent transport. This peculiar combination of both molecular and solid-state materials properties makes COFs an interesting platform to study and ultimately utilize photoexcited charge carrier diffusion.
View Article and Find Full Text PDFSharp-to-Broad Band Energy Transfer in Lithium Aluminate and Gallate Phosphors for SWIR LED.
ACS Appl Opt Mater
December 2024
Research Center for Applied Sciences, Academia Sinica, Taipei 11529, Taiwan.
Short-wave infrared (SWIR) phosphor-converted light-emitting diode (LED) technology holds promise for advancing broadband light sources. Despite the potential, limited research has delved into the energy transfer mechanism from sharp-line to broadband emission in SWIR phosphors, which remains underexplored. Herein, we demonstrate bright SWIR phosphors achieved through Cr/Ni energy transfer in LiGaAl O.
View Article and Find Full Text PDFThe study explore machine learning (ML) techniques to predict temperature-dependent photoluminescence (PL) spectra in colloidal CdSe nanoplatelets (NPLs), leveraging polynomial regression models trained on experimental data from 85 to 270 K spanning temperatures to forecast PL spectra backward to 0 K and forward to 300 K. 6th-degree polynomial models with Tweedie regression were optimal for band energy ([Formula: see text]) predictions up to 300 K, while 9th-degree models with LassoLars and Linear Regression regressors were suitable for backward predictions to 0 K. For exciton energy ([Formula: see text]), the Lasso model of degree 5 and the Ridge model of degree 4 performed well up to 300 K, while the Tweedie model of degree 2 and Theil-Sen model of degree 2 showed promise for predictions to 0 K.
View Article and Find Full Text PDFModeling the role of temperature-dependent microbiome composition in black band disease transmission among coral reefs.
Math Biosci
December 2024
Disease Modeling Lab (DiMoLab), Department of Mathematics and Statistics, San Diego State University, San Diego, 92182, CA, USA; Computational Science Research Center, San Diego State University, San Diego, 92182, CA, USA; Viral Information Institute, San Diego State University, San Diego, 92182, CA, USA. Electronic address:
Black band disease (BBD) is one of the most prevalent diseases causing significant destruction of coral reefs. Coral reefs acquire this deadly disease from bacteria in the microbiome community, the composition of which is highly affected by the environmental temperature. While previous studies have provided valuable insights into various aspects of BBD, the temperature-dependent microbiome composition has not been considered in existing BBD models.
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