Literature DB >> 26352558

Reversible or not? Distinguishing agglomeration and aggregation at the nanoscale.

Stanislav V Sokolov1, Kristina Tschulik1, Christopher Batchelor-McAuley1, Kerstin Jurkschat2, Richard G Compton1.   

Abstract

Nanoparticles are prone to clustering either via aggregation (irreversible) or agglomeration (reversible) processes. It is exceedingly difficult to distinguish the two via conventional techniques such as dynamic light scattering (DLS), nanoparticle tracking analysis (NTA), or electron microscopy imaging (scanning electron microscopy (SEM), transmission electron microscopy (TEM)) as such techniques only generally confirm the presence of large particle clusters. Herein we develop a joint approach to tackle the issue of distinguishing between nanoparticle aggregation vs agglomeration by characterizing a colloidal system of Ag NPs using DLS, NTA, SEM imaging and the electrochemical nanoimpacts technique. In contrast to the conventional techniques which all reveal the presence of large clusters of particles, electrochemical nanoimpacts provide information regarding individual nanoparticles in the solution phase and reveal the presence of small nanoparticles (<30 nm) even in high ionic strength (above 0.5 M KCl) and allow a more complete analysis. The detection of small nanoparticles in high ionic strength media evidence the clustering to be a reversible process. As a result it is concluded that agglomeration rather than irreversible aggregation takes place. This observation is of general importance for all colloids as it provides a feasible analysis technique for a wide range of systems with an ability to distinguish subtly different processes.

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Year:  2015        PMID: 26352558     DOI: 10.1021/acs.analchem.5b02639

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  12 in total

1.  3D Tumor Spheroid Models for In Vitro Therapeutic Screening of Nanoparticles.

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2.  Characterization of colloid-size copper-based pesticide and its potential ecological implications.

Authors:  Ayenachew Tegenaw; George A Sorial; Endalkachew Sahle-Demessie; Changseok Han
Journal:  Environ Pollut       Date:  2019-07-09       Impact factor: 8.071

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Journal:  Chem Soc Rev       Date:  2021-10-18       Impact factor: 54.564

4.  A general controllable release amplification strategy of liposomes for single-particle collision electrochemical biosensing.

Authors:  Jinrong Liu; Chong Ma; Siwei Shi; Heng Liu; Wei Wen; Xiuhua Zhang; Zhen Wu; Shengfu Wang
Journal:  Biosens Bioelectron       Date:  2022-03-11       Impact factor: 12.545

5.  Impact and oxidation of single silver nanoparticles at electrode surfaces: one shot versus multiple events.

Authors:  Jon Ustarroz; Minkyung Kang; Erin Bullions; Patrick R Unwin
Journal:  Chem Sci       Date:  2016-12-12       Impact factor: 9.825

6.  Femtomolar Detection of Silver Nanoparticles by Flow-Enhanced Direct-Impact Voltammetry at a Microelectrode Array.

Authors:  Stanislav V Sokolov; Thomas R Bartlett; Peter Fair; Stephen Fletcher; Richard G Compton
Journal:  Anal Chem       Date:  2016-08-16       Impact factor: 6.986

7.  Mass-size distribution and concentration of metals from personal exposure to arc welding fume in pipeline construction: a case report.

Authors:  Show-Yi Yang; Jia-Ming Lin; Li-Hao Young; Ching-Wen Chang
Journal:  Ind Health       Date:  2018-04-07       Impact factor: 2.179

8.  Operando Studies of the Electrochemical Dissolution of Silver Nanoparticles in Nitrate Solutions Observed With Hyperspectral Dark-Field Microscopy.

Authors:  Kevin Wonner; Christian Rurainsky; Kristina Tschulik
Journal:  Front Chem       Date:  2020-01-17       Impact factor: 5.221

9.  Long-term stability and scale-up of noncovalently bound gold nanoparticle-siRNA suspensions.

Authors:  Anna V Epanchintseva; Julia E Poletaeva; Dmitrii V Pyshnyi; Elena I Ryabchikova; Inna A Pyshnaya
Journal:  Beilstein J Nanotechnol       Date:  2019-12-23       Impact factor: 3.649

10.  A Brain-Targeted Approach to Ameliorate Memory Disorders in a Sporadic Alzheimer's Disease Mouse Model via Intranasal Luteolin-Loaded Nanobilosomes.

Authors:  Manal A Elsheikh; Yasmin A El-Feky; Majid Mohammad Al-Sawahli; Merhan E Ali; Ahmed M Fayez; Haidy Abbas
Journal:  Pharmaceutics       Date:  2022-03-05       Impact factor: 6.321

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