A capillary electrophoresis (CE) method combined with online and offline enrichment for improving the detection sensitivity of chondroitin sulfate (CS) is established. The online enrichment method is based on the field-amplified sample stacking and large volume electrokinetic injection, and offline enrichment is based on the association between cetyltrimethylammonium chloride and CS. Experimental parameters affecting CE method such as the type and pH of background electrolyte, the injection mode and time and the steps of offline enrichment were optimized. Under optimum conditions, the calibration plot between CS concentration and peak area was linear in the range of 1 ~ 100 μg/mL. The enrichment factor was 130 times and the limit of detection was 50 ng/mL. The average recovery was 103.5% and the relative standard deviation of peak area was <2.0%. The method was successfully applied to the quantitative analysis of CS in drugs.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1093/chromsci/bmaa052 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Interventions to support the psychological empowerment of nurses: a scoping review.
Front Public Health
December 2024
Peking University Health Science Center - Macao Polytechnic University Nursing Academy, Macao Polytechnic University, Macao, Macao SAR, China.
Background: Establishing an empowering work environment is significantly contributing to nurse's job satisfaction, performance, retention, and organizational success. This study aimed to conduct a scoping review to chart and synthesize current research on interventions to support nurses' psychological empowerment.
Methods: Ten databases were searched, including PubMed/Medline, Web of Science, Scopus, Embase, EBSCOhost, Cochrane Library, CNKI, Wanfang, VIP, and OpenGrey, following the Joanna Briggs Institute's methodology for scoping reviews.
Hydrophilic-lipophilic balance copolymer composite nanofiber as an adsorbent for online solid phase extraction of three estrogens from water samples with column-switching prior to high-performance liquid chromatography.
Anal Chim Acta
January 2025
Department of Toxicology and Health Inspection and Quarantine, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China. Electronic address:
Background: In recent years, the increasing accumulation of estrogen pollutants in the environment has raised concerns about their impact on human health, necessitating the development of highly sensitive detection methods for trace pollutant enrichment and analysis in environmental samples. Online pretreatment detection technology offers significant advantages over conventional offline techniques, including high automation, minimal human intervention, and improved efficiency. However, the key to successful implementation lies in the advancement of novel adsorbent materials.
View Article and Find Full Text PDFExCS: accelerating code search with code expansion.
Sci Rep
November 2024
School of Cyber Science and Engineering, Wuhan University, Wuhan, 430072, China.
Efficiently searching and reusing code from expansive codebases is pivotal for enhancing developers' productivity. In recent times, the emergence of deep learning-driven neural ranking models, characterized by their vast dimensions and intricate interaction mechanisms, has been noteworthy. Yet, these models, in real-world scenarios, pose computational challenges due to their high dimensionality.
View Article and Find Full Text PDFBakRep - a searchable large-scale web repository for bacterial genomes, characterizations and metadata.
Microb Genom
October 2024
Bioinformatics and Systems Biology, Justus Liebig University Giessen, Giessen, Germany.
Bacteria are fascinating research objects in many disciplines for countless reasons, and whole-genome sequencing (WGS) has become the paramount methodology to advance our microbiological understanding. Meanwhile, access to cost-effective sequencing platforms has accelerated bacterial WGS to unprecedented levels, introducing new challenges in terms of data accessibility, computational demands, heterogeneity of analysis workflows and, thus, ultimately its scientific usability. To this end, a previous study released a uniformly processed set of 661 405 bacterial genome assemblies obtained from the European Nucleotide Archive as of November 2018.
View Article and Find Full Text PDFDeepVID v2: self-supervised denoising with decoupled spatiotemporal enhancement for low-photon voltage imaging.
Neurophotonics
October 2024
Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States.
Significance: Voltage imaging is a powerful tool for studying the dynamics of neuronal activities in the brain. However, voltage imaging data are fundamentally corrupted by severe Poisson noise in the low-photon regime, which hinders the accurate extraction of neuronal activities. Self-supervised deep learning denoising methods have shown great potential in addressing the challenges in low-photon voltage imaging without the need for ground-truth but usually suffer from the trade-off between spatial and temporal performances.
View Article and Find Full Text PDFWant 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!