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1.
ACS Appl Mater Interfaces ; 14(42): 48011-48028, 2022 Oct 26.
Artículo en Inglés | MEDLINE | ID: mdl-36223272

RESUMEN

Superparamagnetic iron oxide nanoparticles (SPION) have a great potential in both diagnostic and therapeutic applications as they provide contrast in magnetic resonance imaging techniques and allow magnetic hyperthermia and drug delivery. Though various types of SPION are commercially available, efforts to improve the quality of SPION are highly in demand. Here, we describe a strategy for optimization of SPION synthesis under microfluidics using the coprecipitation approach. Synthesis parameters such as temperature, pH, iron salt concentration, and coating materials were investigated in continuous and segmented flows. Continuous flow allowed synthesizing particles of a smaller size and higher stability than segmented flow, while both conditions improved the quality of particles compared to batch synthesis. The most stable particles were obtained at a synthesis condition of 6.5 M NH4OH base, iron salt (Fe2+/Fe3+) concentration ratio of 4.3/8.6, carboxymethyl dextran coating of 20 mg/mL, and temperature of 70 °C. The synthesized SPION exhibited a good efficiency in labeling of human platelets and did not impair cells. Our study under flow conditions provides an optimal protocol for the synthesis of better and biocompatible SPION that contributes to the development of nanoparticles for medical applications.


Asunto(s)
Nanopartículas de Magnetita , Humanos , Microfluídica , Sistemas de Liberación de Medicamentos , Nanopartículas Magnéticas de Óxido de Hierro , Hierro , Compuestos Férricos
2.
Anal Bioanal Chem ; 383(5): 752-7, 2005 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-16258742

RESUMEN

Dry substances (DS) are an important index for monitoring and controlling anaerobic co-digestion in biogas plants. We have developed and tested an online meter that measures suspended solids by means of the reflection coefficient of an exiting microwave signal, which is dependent on the dielectric properties of the suspensions. Intelligent models based on partial least squares regression (PLSR) and artificial neural network (ANN) for calibration allow exact and reproducible measurements under different circumstances. This measuring method is appropriate for contactless and online measurements of dry substance contents in biogas plants in a large range from 2-14%.


Asunto(s)
Algoritmos , Inteligencia Artificial , Biopolímeros/análisis , Biopolímeros/química , Residuos Industriales/análisis , Microondas , Radiometría/instrumentación , Agricultura/métodos , Desecación , Diseño de Equipo , Análisis de Falla de Equipo , Gases/química , Sistemas en Línea , Polvos/análisis , Polvos/química , Dosis de Radiación , Radiometría/métodos
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