Arsenic speciation in clinical samples: urine analysis using fast micro-liquid chromatography ICP-MS

2010 ◽  
Vol 399 (5) ◽  
pp. 1781-1788 ◽  
Author(s):  
Jackie Morton ◽  
Elizabeth Leese
2021 ◽  
Vol 42 (5) ◽  
Author(s):  
Huiling Li

Clinimetallomics is proposed as a branch of metallomics that focuses on the study of the metallome in clinical samples of urine, blood, and tissues. As the clinical diagnosis of arsenic poisoning is mainly based on the concentration of total arsenic in urine, the toxicity of arsenic varies greatly in different speciation. Analysis of arsenic speciation with excessive total arsenic in urine can provide a basis for precise treatment. It can also be used to understand the fate of arsenic in the body of patients with arsenic poisoning after treatment with sodium dimercaptopropane sulfonate. In this study, a HPLC-ICP-MS method was established for the determination of arsenic species in urine samples from patients diagnosed with arsenism. Use the established method to detect urine samples, which can be directly assayed after simple sample dilution with 20 mmol/L EDTA-2Na. With the concentration of arsenic speciation in the range of 1.0~100.0 ng/mL, the linear correlation coefficient was higher than 0.99996. The recoveries were between 92.4% and 109.0%. The precision of the concentration and retention time (n = 3) were less than 3.0% and 0.3%, respectively, and the detection limit was between 1.42 ng/mL and 1.86 ng/mL. This method can be applied to arsenic speciation in the urine of healthy people, in patients treated for arsenic poisoning, and in patients diagnosed with arsenism.


2005 ◽  
Vol 15 (03n04) ◽  
pp. 169-180 ◽  
Author(s):  
K. SERA ◽  
T. TERASAKI ◽  
J. ITOH ◽  
S. FUTATSUGAWA ◽  
Y. SAITOH ◽  
...  

We have measured fluorine concentration in samples taken from humans, such as sweat, saliva, snivel and tear in addition to hair, nail and urine, together with those of other elements by means of a three-detector measuring system. Fluorine has been known as one of the most toxic elements as well as arsenic, lead, mercury and cadmium which contaminate environment over the wide area. This system allowed us to discuss about fluorine concentration related to other elements'. A standard-free method established by us has been applied to quantitative analyses of these samples. By means of these methods, quantitative analysis becomes possible for samples of less than 1mg or 1μl and it is quite suited to tear, snivel and sweat. As one of the conclusion, sweat, snivel and tear give useful information in addition to the samples which have been traditionally analyzed. It is found that titanium concentration in a body is well estimated by analyses of sweat, snivel and saliva, arsenic concentration can be estimated by sweat analysis in addition to urine analysis, and nickel is well evaluated by sweat and tear. In this way, it is required to estimate elemental concentration in a human body by measuring various clinical samples. Especially, correlation between fluorine and arsenic is found in a few bio-medical samples.


Author(s):  
Scott Wilschefski ◽  
Matthew Baxter ◽  
Gertruida Pool

Background The measurement of selenium in human plasma is useful to assess deficiency or toxicity. The presence of gadolinium in clinical samples following administration of certain contrast agents used for magnetic resonance imaging can cause a significant positive bias in selenium results when measured using quadrupole inductively coupled plasma mass spectrometry (Q-ICP-MS). Methods A mathematical equation to correct for gadolinium interference was assessed using both patient samples and commercial quality control/external quality assurance (QC/EQA) materials spiked with gadolinium. Samples were analysed using an Agilent 7900 ICP-MS operated in ‘narrow peak’ (half-mass) mode. Accuracy was evaluated by comparing corrected selenium results with target concentrations. Results Corrected results were found to be accurate at all gadolinium concentrations tested (2, 4, 10 and 20 mg/L). Average recoveries ranged from 97.4 to 106.5%. Results for QC/EQA materials were within specified target ranges. Within-run imprecision was <3%, and between-run imprecision was <4.3%, demonstrating robustness. Conclusions The correction equation described here is a simple method to correct for gadolinium interference on plasma selenium measurement using ICP-MS. This approach eliminates the need for specimen recollections, and improves patient care by reducing laboratory turnaround times and preventing delays in diagnosis/treatment.


The Analyst ◽  
2007 ◽  
Vol 132 (5) ◽  
pp. 439-449 ◽  
Author(s):  
Mihaly Dernovics ◽  
Tamara García-Barrera ◽  
Katarzyna Bierla ◽  
Hugues Preud'homme ◽  
Ryszard Lobinski

Sign in / Sign up

Export Citation Format

Share Document