| Title |
Gold nanoparticles as labels for immunochemical analysis using laser ablation inductively coupled plasma mass spectrometry
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, August 2018
|
| DOI | 10.1007/s00216-018-1300-7 |
| Pubmed ID | |
| Authors |
Michaela Tvrdonova, Marcela Vlcnovska, Lucie Pompeiano Vanickova, Viktor Kanicky, Vojtech Adam, Lena Ascher, Norbert Jakubowski, Marketa Vaculovicova, Tomas Vaculovic |
| Abstract |
In this paper, we describe the labelling of antibodies by gold nanoparticles (AuNPs) with diameters of 10 and 60 nm with detection by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). Additionally, the AuNPs labelling strategy is compared with commercially available labelling reagents based on MeCAT (metal coded affinity tagging). Proof of principle experiments based on dot blot experiments were performed. The two labelling methods investigated were compared by sensitivity and limit of detection (LOD). The absolute LODs achieved were in the range of tens of picograms for AuNP labelling compared to a few hundred picograms by the MeCAT labelling. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 21% |
| Student > Ph. D. Student | 7 | 18% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 12 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 16 | 41% |
| Unspecified | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Engineering | 2 | 5% |
| Earth and Planetary Sciences | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 14 | 36% |
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 23 January 2019.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,602
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Outputs of similar age
#265,408
of 341,562 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#103
of 171 outputs
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