Lead screening in DBS by solid sampling high-resolution continuum source graphite furnace atomic absorption spectrometry: application to newborns and pregnant women.

Bioanalysis

Department of Analytical Chemistry, Aragón Institute of Engineering Research (I3A), University of Zaragoza, Pedro Cerbuna 12, 50009, Zaragoza, Spain.

Published: June 2016

Background: DBS have become a clinical specimen especially adequate for establishing home-based collection protocols. In this work, high-resolution continuum source graphite furnace atomic absorption spectrometry is evaluated for the direct monitoring of Pb in DBS, both as a quantitative tool and a screening method.

Methodology: The development of the screening model is based on the establishment of the unreliability region around the threshold limits, 100 or 50 μg l(-1). More than 500 samples were analyzed to validate the model.

Conclusion: The screening method demonstrated high sensitivity (the rate of true positives detected was always higher than 95%), an excellent LOD (1 µg l(-1)) and high throughput (10 min per sample).

Download full-text PDF

Source
http://dx.doi.org/10.4155/bio.15.124DOI Listing

Publication Analysis

Top Keywords

high-resolution continuum
8
continuum source
8
source graphite
8
graphite furnace
8
furnace atomic
8
atomic absorption
8
absorption spectrometry
8
lead screening
4
screening dbs
4
dbs solid
4

Similar Publications

Biomarkers.

Alzheimers Dement

December 2024

Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.

Background: Mild cognitive impairment (MCI) refers to a transitional stage between the cognitively unimpaired (CU) and dementia, which is probable in the Alzheimer's disease (AD) continuum. Neuropsychological assessments and structural MRI are primary clinical examinations applied for diagnosing MCI. Hippocampal volume (HV) and medial temporal lobe atrophy (MTA) as recognized AD biomarkers are the most frequently used imaging markers in clinical application.

View Article and Find Full Text PDF

Background: Postmortem MRI allows brain anatomy to be examined at high-resolution linking pathology with morphometric measurements. However, automated methods for analyzing postmortem MRI are not well developed. We present a deep learning-based framework for automated segmentation of cortical mantle, subcortical structures (caudate, putamen, globus pallidus, and thalamus), white matter hyperintensities (WMH), and normal appearing white matter in (n=135) postmortem human brain tissue specimens (Table 1) imaged at 0.

View Article and Find Full Text PDF

Background: Mild cognitive impairment (MCI) refers to a transitional stage between the cognitively unimpaired (CU) and dementia, which is probable in the Alzheimer's disease (AD) continuum. Neuropsychological assessments and structural MRI are primary clinical examinations applied for diagnosing MCI. Hippocampal volume (HV) and medial temporal lobe atrophy (MTA) as recognized AD biomarkers are the most frequently used imaging markers in clinical application.

View Article and Find Full Text PDF

Background: Postmortem MRI allows brain anatomy to be examined at high-resolution linking pathology with morphometric measurements. However, automated methods for analyzing postmortem MRI are not well developed. We present a deep learning-based framework for automated segmentation of cortical mantle, subcortical structures (caudate, putamen, globus pallidus, and thalamus), white matter hyperintensities (WMH), and normal appearing white matter in (n = 135) postmortem human brain tissue specimens (Table 1) imaged at 0.

View Article and Find Full Text PDF

Chronic Kidney Disease (CKD) is one of the most common conditions affecting felines, yet the metabolic alterations underlying its pathophysiology remain poorly understood, hindering progress in identifying biomarkers and therapeutic targets. This study aimed to provide a comprehensive view of metabolic changes in feline CKD across conserved biochemical pathways and evaluate their progression throughout the disease continuum. Using a multi-biomatrix high-throughput metabolomics approach, serum and urine samples from CKD-affected cats ( = 94) and healthy controls ( = 84) were analyzed with ultra-high-performance liquid chromatography-high-resolution mass spectrometry.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!