AI Article Synopsis
- Uric acid (UA) levels are crucial for monitoring health, as abnormalities can lead to various diseases, necessitating quick detection methods.
- Traditional methods for analyzing uric acid, such as chromatography and electrochemical methods, are complicated, expensive, and not practical in low-resource environments.
- This study introduces a portable visualization method using hydrogen peroxide test strips, where uric acid oxidizes and changes the strip's color, providing a quick and affordable way to measure uric acid levels between 1 to 50 μg mL.
Article Abstract
The uric acid (UA) level is an important physiological indicator of the human body, and its abnormality can lead to a series of diseases. Therefore, the immediate detection of uric acid concentration has broad application prospects. Commonly used methods for the analysis of uric acid include chromatography, high-performance capillary electrophoresis and electrochemical methods. However, these methods have the disadvantages of cumbersome sample pre-treatment, high cost, time-consuming, and the need for experimental instruments and professional operators, which are extremely unfavorable for the detection of uric acid and the diagnosis of related diseases in resource-limited areas. In this study, a portable visualization method was developed for the detection of uric acid using hydrogen peroxide (HO) test strips. Uric acid enzyme specifically catalyzes the oxidation of uric acid to produce HO, which causes a significant change in the color of the HO test strip. The response has good linearity in the range of 1 ∼ 50 μg mL. Thus, it provides a simple, rapid, and cost-effective visualized bioassay for uric acid.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1039/d4ay01053a | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Trends in Total Antioxidant Status and Other Biochemical Parameters in Type 2 Diabetes Mellitus: A Case-control Study.
Curr Diabetes Rev
January 2025
Dept. of Pathology Proficiency Healthcare Diagnostics Laboratory, Al Ain, 97751, United Arab Emirates.
Objectives: Owing to the existing evidence of the implication of oxidative stress in the pathophysiology of type 2 diabetes mellitus (T2DM), the present study aims to investigate the correlation of serum total antioxidant status (TAS) with comorbidities, various biochemical parameters, and duration of T2DM. Various factors contributing to disease prevalence and trends in other biochemical parameters are assessed.
Methods: A retrospective observational study of 246 patients with T2DM whose data were retrieved from the Proficiency Health Diagnostic Lab System in Al Ain.
The effects of diacylglycerol edible oil intervention in patients with chronic metabolic syndrome combined with asymptomatic hyperuricemia: study protocol for a multicenter, prospective, double-blind, randomized controlled trial.
Trials
January 2025
Department of Traditional Chinese Medicine, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, Guangdong, P. R. China.
Background: The aim of this study is to evaluate the efficacy and safety of diacylglycerol (DAG) edible oil intervention in patients with chronic metabolic syndrome complicated by asymptomatic hyperuricemia through a multicenter, prospective, double-blind, randomized controlled clinical trial.
Methods: A multicenter, double-blind, and randomized controlled trial involving 176 patients was designed. All patients with chronic metabolic syndrome complicated by asymptomatic hyperuricemia who meet inclusion and exclusion criteria will be included in the study and will be randomized to either group A or group B.
Serum uric acid levels and intracerebral hemorrhage: a two-sample Mendelian Randomization study.
J Stroke Cerebrovasc Dis
January 2025
Department of Clinical Laboratory, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China. Electronic address:
Objective: Previous observational studies have generated controversy regarding the correlation between serum uric acid (UA) levels and intracerebral hemorrhage (ICH), with the causal relationship remaining uncertain. To assess the potential causal relationship between serum UA levels and ICH, two-sample Mendelian randomization analysis was applied.
Methods: Single-nucleotide polymorphisms (SNPs) closely associated with serum UA were retrieved from the genome-wide association study (GWAS) database, including 580,505 individuals of European descent.
Predicting Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction by Using Machine Learning.
JACC Asia
December 2024
Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Background: Few studies have incorporated echocardiography and laboratory data to predict clinical outcomes in heart failure with preserved ejection fraction (HFpEF).
Objectives: This study aimed to use machine learning to find predictors of heart failure (HF) hospitalization and cardiovascular (CV) death in HFpEF.
Methods: From the Chang Gung Research Database in Taiwan, 6,092 HFpEF patients (2,898 derivation, 3,194 validation) identified between 2008 and 2017 were followed until 2019.
Effect of Dietary Magnesium on the Association Between Serum Uric Acid and Female Infertility.
Int J Womens Health
January 2025
Department of Medical Genetic, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, 341000, People's Republic of China.
Background: Few studies have evaluated the correlation between serum uric acid (SUA) levels and the prevalence of female infertility in the general population, and the effect of magnesium intake on this correlation has not been investigated.
Methods: All participants aged 18-45 years at baseline were enrolled from the National Health and Nutritional Examination Surveys (NHANES) 2013-2018. The continuous variable of SUA was divided into quartile (Q1: ≤3.
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!