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Wyszukujesz frazę "Mikołajczyk, Maciej" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Multifunctional biodegradable polymer/clay nanocomposites with antibacterial properties in drug delivery systems
Autorzy:
Rapacz-Kmita, Alicja
Szaraniec, Barbara
Mikołajczyk, Maciej
Stodolak-Zych, Ewa
Dzierzkowska, Ewa
Gajek, Marcin
Dudek, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/27324154.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
nanocomposite
clay mineral
drug carrier
mechanical properties
antimicrobial activities
nanokompozyt
minerał ilasty
nośnik leku
właściwości mechaniczne
działanie przeciwdrobnoustrojowe
Opis:
Purpose: The aim of this study was to investigate the possibility of intercalation of gentamicin and neomycin in montmorillonite (MMT) nanofillers, as well as to study the in vitro antimicrobial properties of nanocomposite films containing a small amount of thus obtained nanofillers. Methods: The polylactide matrix (PLA) nanocomposite films with drug-intercalated montmorillonite fillers were obtained by casting after intercalation of drugs in aqueous solutions. The efficiency of intercalation has been confirmed by X-ray diffraction (XRD) and Zeta potential measurements. The materials were studied for surface wettability, roughness and mechanical properties during 6 weeks of incubation in phosphate buffer saline, and their bactericidal activity was tested against Escherichia coli bacteria before and after 6 weeks of incubation in distilled water at 37 C. The presence of antibiotics during the incubation was monitored by conductivity and pH measurements. Results: The results indicate that nanocomposite polylactide films with montmorillonite filler intercalated with gentamicin and neomycin tend to degrade faster that their counterparts with non-intercalated fillers, which affects their mechanical properties. However, drug intercalation provided an antibacterial activity, which was confirmed by the presence of zones inhibiting the growth of Gram-negative bacteria for both antibiotics. It was also confirmed that the interaction of antibiotics with clay and polymer matrix did not adversely affect this bactericidal effect. Conclusions: Montmorillonite can be successfully intercalated with both gentamicin and neomycin, and then used as active filler for polylactide films having very good antibacterial properties, therefore their use in biomedical applications can be significantly expanded.
Źródło:
Acta of Bioengineering and Biomechanics; 2020, 22, 2; 83--92
1509-409X
2450-6303
Pojawia się w:
Acta of Bioengineering and Biomechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine learning system for automated blood smear analysis
Autorzy:
Grochowski, Michał
Wąsowicz, Michał
Mikołajczyk, Agnieszka
Ficek, Mateusz
Kulka, Marek
Wróbel, Maciej S.
Jędrzejewska-Szczerska, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/220750.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
optical microscopy
blood cells
biophotonics
image analysis
classification
eigenfaces
neural networks
decision support
nanodiamonds
bioimaging
Opis:
In this paper the authors propose a decision support system for automatic blood smear analysis based onmicroscopic images. The images are pre-processed in order to remove irrelevant elements and to enhancethe most important ones – the healthy blood cells (erythrocytes) and the pathologic ones (echinocytes). The separated blood cells are analysed in terms of their most important features by the eigenfaces method. The features are the basis for designing the neural network classifier, learned to distinguish between erythrocytes and echinocytes. As the result, the proposed system is able to analyse the smear blood images in a fully automatic way and to deliver information on the number and statistics of the red blood cells, both healthy and pathologic. The system was examined in two case studies, involving the canine and human blood, and then consulted with the experienced medicine specialists. The accuracy of classification of red blood cells into erythrocytes and echinocytes reaches 96%.
Źródło:
Metrology and Measurement Systems; 2019, 26, 1; 81-93
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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