| Title |
Fast Separation, Characterization, and Speciation of Gold and Silver Nanoparticles and Their Ionic Counterparts with Micellar Electrokinetic Chromatography Coupled to ICP-MS
|
|---|---|
| Published in |
Analytical Chemistry, June 2014
|
| DOI | 10.1021/ac403998e |
| Pubmed ID | |
| Authors |
Bastian Franze, Carsten Engelhard |
| Abstract |
In this study, a method for separation, size characterization, and speciation of gold and silver nanoparticles was developed through the use of micellar electrokinetic chromatography (MEKC) coupled to inductively coupled plasma-mass spectrometry (ICP-MS) for the first time. Figures of merit in this proof-of-principle study include peak area precision of 4-6%, stable migration times (1.4% with internal standard), and capillary recoveries on the order of 72-100% depending on species and nanoparticle size, respectively. Detection limits are currently in the sub-microgram per liter range. For example, a total of 1500 50-nm-sized gold nanoparticles were successfully detected. After careful optimization, MEKC-ICP-MS was used to separate engineered nanoparticles (ENPs) of different composition. Speciation analysis of ENPs and free metal ions in solution was feasible using a complexing agent (penicillamine). Gold speciation analysis of a dietary supplement, which contained approximately 6-nm-sized gold nanoparticles, was demonstrated. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Unknown | 93 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 31% |
| Researcher | 12 | 13% |
| Professor > Associate Professor | 9 | 10% |
| Student > Master | 9 | 10% |
| Student > Postgraduate | 6 | 6% |
| Other | 12 | 13% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 41 | 44% |
| Environmental Science | 8 | 9% |
| Agricultural and Biological Sciences | 5 | 5% |
| Engineering | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 26 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2014.
All research outputs
#15,302,068
of 22,757,541 outputs
Outputs from Analytical Chemistry
#20,001
of 26,416 outputs
Outputs of similar age
#133,208
of 228,024 outputs
Outputs of similar age from Analytical Chemistry
#186
of 396 outputs
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