Previous approaches of determining the molar concentration of nanoparticles often relied on the calibration factors extracted from standard samples or required prior knowledge regarding the geometry, optical, or chemical properties. In the present work, we proposed an absolute quantification method that determined the molar concentration of nano-objects without any calibration factor or prior knowledge. It was realized by monitoring the dynamic adsorption processes of individual nanoparticles with a high-speed surface plasmon resonance microscopy. In this case, diffusing nano-objects stochastically collided onto an adsorption interface and stayed there ("hit-n-stay" scenario), resulting in a semi-infinite diffusion system. The dynamic processes were analyzed with a theoretical model consisting of Fick's laws of diffusion and random-walk assumption. The quantification of molar concentration was achieved on the basis of an analytical expression, which involved only physical constants and experimental parameters. By using spherical polystyrene nanoparticles as a model, the present approach provided a molar concentration with excellent accuracy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acs.analchem.5b04386 | DOI Listing |
Langmuir
January 2025
Institute of Chemical Technology and Engineering, Faculty of Chemical Technology, Poznan University of Technology, ul. Berdychowo 4, PL 60-965 Poznan, Poland.
Despite extensive research on the use of salts to enhance micellar growth, numerous questions remain regarding the impact of ionic exchange and molecular structure on charge neutralization. This study looks into how certain cations (Na, Ca, and Mg) affect the structure of a cocamidopropyl betaine CAPB and sodium dodecylbenzenesulfonate SDBS surfactant mixture, aiming toward applications in targeted delivery systems. The mixture consists of a zwitterionic surfactant, cocamidopropyl betaine (CAPB), and an anionic surfactant, sodium dodecylbenzenesulfonate (SDBS), combined in varying molar ratios at a total concentration of 200 mM.
View Article and Find Full Text PDFRSC Adv
January 2025
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, King Abdulaziz University P.O. Box 80260 Jeddah 21589 Saudi Arabia +966 553399718.
A mutual prodrug of sertraline-methylpropyphenazone (SER-MP) was prepared and characterized using a spectral method. The yield of the prepared SER-MP was 90%, and its purity reached 98.8%.
View Article and Find Full Text PDFJDS Commun
January 2025
Department of Animal Science, University of Florida, Gainesville, FL 32611.
The objective of this study was to compare fermentation profile and microbial diversity from rumen samples collected using a rumen cannula (RC) or stomach tube (ST) in lactating dairy cows. Three ruminally cannulated lactating dairy cows were used in a 3 × 3 Latin square design. The experimental period was 28 d and rumen fluid was collected 4 h after feeding on d 22 and 26 of each experimental period.
View Article and Find Full Text PDFSci Rep
January 2025
School of Environmental Health, Institute of Public Health, Suranaree University of Technology, Nakhon Ratchasima, Thailand.
The objective of this study is to enhance the capacity of struvite-phosphate forming reactor utilized in the production of phosphorus fertilizer from wastewater collected from mobile toilets, characterized by phosphorus (P) concentrations of 5.0 ± 1.1 g/l.
View Article and Find Full Text PDFJ Dent Sci
January 2025
Department of Dentistry, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
Background/purpose: Different types of scanners are gradually used to produce digital dental casts in the current dental practice. This study tested the accuracy of the three desktop scanners and two intraoral scanners and evaluated whether the desktop scanners had higher precision than the intraoral scanners.
Materials And Methods: This study used the three desktop and two intraoral scanners to scan a standard dental cast 5 times.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!