Literature DB >> 29121607

Preparation of fluorescently labeled silica nanoparticles using an amino acid-catalyzed seeds regrowth technique: Application to latent fingerprints detection and hemocompatibility studies.

Walid M Abdelwahab1, Edjohnier Phillips2, Gabor Patonay2.   

Abstract

The efficiency of an amino acid catalyzed seed regrowth technique (ACSRT) in synthesizing twelve fluorescently labeled core-shell silica nanoparticles (FLSNPs) with tunable sizes, tailored hydrophobicity, low polydispersity as well as high labeling efficiency and minimized dye leakage using different combinations of organosilicate monomers and fluorophores have been systematically investigated in this report. The utilization of some of these FLSNPs in some applications that are facilitated by hydrophobicity such as developing and visualizing latent fingerprints (LFPs) on different surfaces was also investigated. The non-specific binding affinity of the developed nanoparticles to human serum albumin (HSA) and immunoglobulin G (IgG) has also been studied. Fluorescein, fluorescein isothiocyanate and its more hydrophilic butenamine derivative (WA6) have been used in this study. Also, the alkoxysilane precursor, tetraethoxyorthosilicate (TEOS) and its binary mixture with phenyltriethoxysilane (PTEOS) or 3-aminopropyl triethoxysilane (APTES) have been used in preparing the FLSNPs with tailored compositions for the core and shell of the nanoparticles. The mean diameters of the PTEOS-coated FLSNPs were between 33.4±5.9 and 42.2±10.8 nm as shown by the SEM measurements. The obtained results highlight the advantages of having a hydrophobic surface along with proper selection of the monomers forming the core to match the properties of the fluorescent reporters for clear detection of LFPs even using dyes of low hydrophobicity such as fluorescein and WA6. Furthermore, some of the developed FLSNPs were compared with bare silica nanoparticles in terms of nonspecific protein adsorption and hemolysis. The obtained results proved that the selected FLSNPs had a superior hemocompatibility in comparison with bare silica nanoparticles. These FLSNPs could also be used in some bio-related and diagnostic applications such as immunoassays and cell imaging purposes.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ACSRT; Hemocompatibility; Hydrophobicity; Latent fingerprints detection; Protein binding; Silica nanoparticles

Mesh:

Substances:

Year:  2017        PMID: 29121607     DOI: 10.1016/j.jcis.2017.10.062

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  5 in total

Review 1.  Interpol review of fingermarks and other body impressions 2016-2019.

Authors:  Andy Bécue; Heidi Eldridge; Christophe Champod
Journal:  Forensic Sci Int       Date:  2020-03-17       Impact factor: 2.395

2.  A Comparative Study of Fluorescein Isothiocyanate-Encapsulated Silica Nanoparticles Prepared in Seven Different Routes for Developing Fingerprints on Non-Porous Surfaces.

Authors:  Eman Alsolmy; Walid M Abdelwahab; Gabor Patonay
Journal:  J Fluoresc       Date:  2018-07-21       Impact factor: 2.217

3.  Improving Minutiae Image of Latent Fingerprint Detection on Non-Porous Surface Materials under UV Light Using Sulfur Doped Carbon Quantum Dots from Magnolia Grandiflora Flower.

Authors:  David Nugroho; Won-Chun Oh; Saksit Chanthai; Rachadaporn Benchawattananon
Journal:  Nanomaterials (Basel)       Date:  2022-09-21       Impact factor: 5.719

4.  Synthesis of Silica Nanoparticles with Physical Encapsulation of Near-Infrared Fluorescent Dyes and Their Tannic Acid Coating.

Authors:  Yoshio Nakahara; Yukiho Nakajima; Soichiro Okada; Jun Miyazaki; Setsuko Yajima
Journal:  ACS Omega       Date:  2021-06-29

5.  Cation Crosslinking-Induced Stable Copper Nanoclusters Powder as Latent Fingerprints Marker.

Authors:  Yi Qiu; Zhuoqi Wen; Shiliang Mei; Jinxin Wei; Yuanyuan Chen; Zhe Hu; Zhongjie Cui; Wanlu Zhang; Fengxian Xie; Ruiqian Guo
Journal:  Nanomaterials (Basel)       Date:  2021-12-12       Impact factor: 5.076

  5 in total

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