Improving detection capabilities of biogenic selenium nanoparticles in spICP-MS using an anionic ion-exchange resin

Characterization of SeNPs biosynthesized by H. mediterranei when exposed to Se oxyanions by single particle inductively coupled plasma mass spectrometry after an anionic-exchange resin treatment.

Authors

Institutions

Publication Details

Journal
Journal of Analytical Atomic Spectrometry
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ja00005j
Citations
1
Primary Topic
Selenium in Biological Systems
Type
article
Field-Weighted Citation Impact
1.12

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving detection capabilities of biogenic selenium nanoparticles in spICP-MS using an anionic ion-exchange resin

Iraide Sáez-Zamacona, Rosa María Martínez‐Espinosa, Guillermo Grindlay, Luis Gras et al.
1 citations
Journal of Analytical Atomic Spectrometry
Selenium in Biological Systems
1.12
article

Improving detection capabilities of biogenic selenium nanoparticles in spICP-MS using an anionic ion-exchange resin

Iraide Sáez-Zamacona, Rosa María Martínez‐Espinosa, Guillermo Grindlay, Luis Gras, Nuria Guijarro-Ramírez
article en
1 citations

Abstract

Characterization of SeNPs biosynthesized by H. mediterranei when exposed to Se oxyanions by single particle inductively coupled plasma mass spectrometry after an anionic-exchange resin treatment.

Journal of Analytical Atomic SpectrometryVol. 40(5)
University of Alicante (ES)
Universidad de Alicante, Generalitat Valenciana
Openalex Percentile: Top 26%
Selenium in Biological Systems
1.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.