Factors affecting solid phase extraction (SPE) of trans,trans-muconic acid (ttMA), as a benzene biomarker, including sample pH, sample concentration, sample volume, sample flow rate, washing solvent, elution solvent, and type of sorbent were evaluated. Extracted samples were determined by HPLC-UV (high performance liquid chromatography-ultraviolet). The analytical column was C18, UV wave length was 259 nm, and the mobile phase was H(2)O/methanol/acetic acid run at flow rate of 1 ml/min. A strong anion exchange silica cartridge was found successful in simplifying SPE. There was a significant difference between recoveries of ttMA when different factors were used (p < .001). An optimum recovery was obtained when sample pH was adjusted at 7. There was no significant difference when different sample concentrations were used (p > .05). The optimized method was then validated with 3 different pools of samples showing good reproducibility over 6 consecutive days and 6 within-day experiments.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/10803548.2005.11076658 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Pediatric Sleep Quality and Parental Stress in Neuromuscular Disorders: Descriptive Analytical Study.
Asian Pac Isl Nurs J
January 2025
Nursing Care Research Center, Clinical Sciences Institute, Nursing Faculty, Baqiyatallah University of Medical Sciences, Vanak Square, Tehran, Iran, 98 9127297199.
Background: Neuromuscular disorders (NMDs) constitute a heterogeneous group of disorders that affect motor neurons, neuromuscular junctions, and muscle fibers, resulting in symptoms such as muscle weakness, fatigue, and reduced mobility. These conditions significantly affect patients' quality of life and impose a substantial burden on caregivers. Spinal muscular atrophy (SMA) is a relatively common NMD in children that presents in various types with varying degrees of severity.
View Article and Find Full Text PDFMutualDTA: An Interpretable Drug-Target Affinity Prediction Model Leveraging Pretrained Models and Mutual Attention.
J Chem Inf Model
January 2025
School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China.
Efficient and accurate drug-target affinity (DTA) prediction can significantly accelerate the drug development process. Recently, deep learning models have been widely applied to DTA prediction and have achieved notable success. However, existing methods often encounter several common issues: first, the data representations lack sufficient information; second, the extracted features are not comprehensive; and third, most methods lack interpretability when modeling drug-target binding.
View Article and Find Full Text PDFCannabinoids for Acute Postoperative Pain Management: A Systematic Review and Meta-Analysis of Clinical Trials.
Eur J Pain
March 2025
Universidad del Bosque, Bogotá, Colombia.
Background: Poor acute postoperative pain control, coupled with the use of intravenous medications with a limited and unsafety efficacy spectrum, has led to new therapeutic alternative explorations to reduce adverse events while increasing its analgesic efficacy. There cannabinoids have been proposed as a useful control agent in post-surgical pain. Nevertheless, to date, there is no solid evidence to evaluate them.
View Article and Find Full Text PDFComprehensive Hematological and molecular Characterization of hemoglobin Hekinan [α27(B8)Glu→Asp(α1), :c.84G > T] in a Large Thai cohort.
Hematology
December 2025
Division of Hematology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, and King Chulalongkorn Memorial Hospital, Thai Red Cross, Bangkok, Thailand.
Background: Hemoglobin (Hb) Hekinan is a prevalent α-globin variant frequently missed in thalassemia screening centers using high-performance liquid chromatography (HPLC) or capillary electrophoresis. This study aims to investigate the hematological and molecular characteristics of Hb Hekinan in a large cohort.
Methods: Hb variants were identified using isoelectric focusing (IEF) and HPLC.
A chromosome-level, haplotype-resolved genome assembly and annotation for the Eurasian minnow (Leuciscidae: Phoxinus phoxinus) provide evidence of haplotype diversity.
Gigascience
January 2025
Leibniz Institute for the Analysis of Biodiversity Change, Museum Koenig Bonn, 53113 Bonn, Germany.
Background: In this study, we present an in-depth analysis of the Eurasian minnow (Phoxinus phoxinus) genome, highlighting its genetic diversity, structural variations, and evolutionary adaptations. We generated an annotated haplotype-phased, chromosome-level genome assembly (2n = 50) by integrating high-fidelity (HiFi) long reads and chromosome conformation capture data (Hi-C).
Results: We achieved a haploid size of 940 megabase pairs (Mbp) for haplome 1 and 929 Mbp for haplome 2 with high scaffold N50 values of 36.
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!