SPATIAL DISTRIBUTION OF ANALYTE SPECIES IN THE INDUCTIVELY COUPLED PLASMA

1982 ◽  
pp. 51-60 ◽  
Author(s):  
S.R. Koirtyohann ◽  
D.A. Yates ◽  
J.P. Rybarczyk
Keyword(s):  
Spatial Distribution ◽  
Inductively Coupled Plasma ◽  
Inductively Coupled

scholarly journals Elemental imaging of leaves from the metal hyperaccumulating plant Noccaea caerulescens shows different spatial distribution of Ni, Zn and Cd

RSC Advances ◽  
2016 ◽  
Vol 6 (3) ◽  
pp. 2337-2344 ◽  
Author(s):  
Damien L. Callahan ◽  
Dominic J. Hare ◽  
David P. Bishop ◽  
Philip A. Doble ◽  
Ute Roessner
Keyword(s):  
Mass Spectrometry ◽  
Spatial Distribution ◽  
Laser Ablation ◽  
Inductively Coupled Plasma ◽  
Elemental Imaging ◽  
Inductively Coupled ◽  
Noccaea Caerulescens ◽  
Plasma Mass Spectrometry ◽  
Hyperaccumulating Plant

Elemental imaging using laser ablation inductively coupled plasma mass spectrometry was performed on whole leaves of the hyperaccumulating plantNoccaea caerulescensafter treatments with either Ni, Zn or Cd.

Study on carbon-induced signal enhancement in inductively coupled plasma mass spectrometry: an approach from the spatial distribution of analyte signal intensities

2019 ◽  
Vol 34 (9) ◽  
pp. 1865-1874 ◽  
Author(s):  
Tomoko Ariga ◽  
Yanbei Zhu ◽  
Kazumi Inagaki
Keyword(s):  
Spatial Distribution ◽  
Inductively Coupled Plasma ◽  
Signal Enhancement ◽  
Inductively Coupled ◽  
Analyte Signal ◽  
Novel Approach ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Induced Signal ◽  
Signal Intensities

This study proposed a novel approach for quantifying carbon-induced signal enhancement in ICP-MS considering the spatial distribution of analyte signal intensities.

Imaging of Gadolinium Spatial Distribution in Tumor Tissue by Laser Ablation Inductively Coupled Plasma Mass Spectrometry

2009 ◽  
Vol 12 (4) ◽  
pp. 361-366 ◽  
Author(s):  
Nazila Kamaly ◽  
John A. Pugh ◽  
Tammy L. Kalber ◽  
Josephine Bunch ◽  
Andrew D. Miller ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Spatial Distribution ◽  
Laser Ablation ◽  
Inductively Coupled Plasma ◽  
Tumor Tissue ◽  
Inductively Coupled ◽  
Plasma Mass Spectrometry

Detection of iron and iron-cobalt labeled cellulose nanofibrils using ICP-OES and XµCT

2018 ◽  
Vol 33 (4) ◽  
pp. 610-617 ◽  
Author(s):  
Tuomas Turpeinen ◽  
Timo Lappalainen ◽  
Eija Kenttä ◽  
Katariina Torvinen
Keyword(s):  
Spatial Distribution ◽  
Inductively Coupled Plasma ◽  
Cellulose Nanofibrils ◽  
Optical Emission ◽  
Icp Oes ◽  
Fiber Network ◽  
Iron Cobalt ◽  
X Ray ◽  
Inductively Coupled ◽  
Computed Tomographic

Abstract When studying the properties of cellulose nanofibrils (CNF) enriched fiber products, it is essential to be able to determine the retention and the spatial distribution of the CNF inside the end-product. That is, to determine how much and where the CNF has been attached. As the CNF and cellulose fibers share the same density and chemical composition, labeling of the CNF is required to distinguish them from each other. In this work, we have applied iron and iron-cobalt -labeling. Labeling with iron is more desirable because of the carcinogenic and toxic properties of cobalt chloride. The benefits of our labeling method are the possibility to determine the retention of the labeled nanocellulose using inductively coupled plasma optical emission spectroscopy (ICP-OES), and to define the spatial distribution using X-ray micro-computed tomographic (XμCT). With XμCT we were able to measure fairly large samples (2 cm × 5 cm × 5 cm). Our study found that the retention of iron-labeled CNF was about 95 % and that of iron-cobalt labeled CNF was 84–94 %. Labeling of CNF improves the contrast of X-ray images. Labeled CNF is attached to fiber network also in the inner structures of the sample. Furthermore, when making thick porous structures using cationic starch, there might be agglomerates in the sample that cannot be visually detected by looking the sample.

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