Synthesis of biocompatible silver nanoparticles by a modified polyol method for theranostic applications: Studies on red blood cells, internalization ability and antibacterial activity

Self-immolative polymers, which exert potent antibacterial activity with low hemolytic toxicity to red blood cells, are triggered to unzip into small molecules by a chemical stimulus.

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Not all silver nanoparticles are equal: Effect of functionalization on K homeostasis in human red blood cells

The FASEB Journal ◽

10.1096/fasebj.31.1_supplement.lb685 ◽

2017 ◽

Vol 31 (S1) ◽

Author(s):

Praveen Kumar Alla ◽

Peter K Lauf ◽

Ioana Sizemore ◽

Arathi S.L Paluri ◽

Jerome Yaklic ◽

...

Keyword(s):

Silver Nanoparticles ◽

Red Blood Cells ◽

Blood Cells ◽

Human Red Blood Cells

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A synthetic 13-residue peptide corresponding to the hydrophobic region of bovine seminalplasmin has antibacterial activity and also causes lysis of red blood cells.

Journal of Biological Chemistry ◽

10.1016/s0021-9258(18)86965-4 ◽

1990 ◽

Vol 265 (18) ◽

pp. 10438-10442

Author(s):

N Sitaram ◽

R Nagaraj

Keyword(s):

Antibacterial Activity ◽

Red Blood Cells ◽

Blood Cells ◽

Hydrophobic Region

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Denoising and Principal Component Analysis of Amplified Raman Spectra from Red Blood Cells with Added Silver Nanoparticles

Journal of Nanomaterials ◽

10.1155/2018/9417819 ◽

2018 ◽

Vol 2018 ◽

pp. 1-9

Author(s):

L. Ferrer-Galindo ◽

A. D. Sañu-Ginarte ◽

N. Fleitas-Salazar ◽

L. A. Ferrer-Moreno ◽

R. A. Rosas ◽

...

Keyword(s):

Principal Component Analysis ◽

Silver Nanoparticles ◽

Red Blood Cells ◽

Raman Spectra ◽

Blood Cells ◽

Principal Component ◽

Data Interpretation ◽

Component Analysis ◽

Surface Enhanced Raman ◽

Enhanced Raman Scattering

Incubated erythrocytes with and without silver nanoparticles (AgNP) were analyzed by Raman spectroscopy, resulting in two Raman spectra datasets. AgNP were added to red blood cells (RBC) in order to enhance the Raman signals. This technique is known as surface-enhanced Raman scattering (SERS). A comparison was made between the Raman spectra with and without AgNP, to test if the SERS had taken place. Since Raman and SERS spectra are considered to be cumbersome due to the noises presented, we applied denoising criteria for detection and removal of noises like cosmic rays, shot, and fluorescence contribution. After this, the principal component analysis (PCA) was performed, in order to reduce the dimensions of the spectra being studied. Only the main key components necessary for a better interpretation of these spectra were considered. All of those noises had to be removed prior to the statistical analysis, to make sure the analysis was really based on the Raman measurements and not on other effects. As a result, RBC Raman spectra with and without AgNP got denoised, obtaining an improvement in its resolution for a better signal reading and data interpretation. Also, the first principal components (PC) were selected from each dataset under scrutiny, based on the weight of their information and their spectrum readability. In conclusion, we were able to represent the given reference system with a more affordable and smaller dimension in which information loss was minimal.

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