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The aerogels also exhibited good biocompatibility as well as high level of cell activity and proliferation, which may be suitable for biological wound dressings and tissue engineering scaffolds.
The fast response and recovery of the conductance make the carbon nanofilms on diamond substrates promising for development of all-carbon chemical sensors which could be suitable for biological and medical applications.
The adhesion strength of the hydroxyapatite coated titania surfaces was 38 ± 10 MPa, implying that these surfaces may be suitable for biological and chemical functionalization of medical implants to tune bioactivity, including delivering drugs.
Even though both ribbons and cylindrical nanofibers would be suitable for biological applications, the cylindrical morphology is more effective at proper signal presentation.
This system can also be modified to be suitable for biological applications with an addition of functional groups, targeting molecules, and polymers, and so forth to enhance the solubility and biocompatibility [ 146].
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Based on these results, the films are suitable for biological applications, e.g., tissue engineering, medicines, and cosmetics.
On the other hand, in the case of 3MST, only non-selective and weak substrate-like inhibitors have so far been reported16,17,18,19, and none of them is suitable for biological studies.
The system is designed and developed based on the growth model of corn, thus the digital design for corn is suitable for biological and physiological characteristics according to the natural growth process of corn.
In order to decide if the obtained nanoparticles are suitable for biological applications, characterization in terms of size, size distribution, and morphology were performed.
Fortunately, once passivated by a hydrogen or carbon atoms, the Si QDs will show blue emission and have electric-dipole-allowed direct band gap transitions which lead to a shorter radiative lifetime (10−9 10−8 s) [15, 17] and are suitable for biological imaging.
In this section, we discuss how our proposed architecture is suitable for biological applications in terms of memory and time of workloads in bioinformatics.
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