A simple and highly sensitive approach for the detection of the anti-neoplastic drug gemcitabine is presented, based on a one-step electropolymerized molecularly imprinted microporous-metal-organic-framework. The sensitive layer was prepared by electropolymerization of the aniline moieties of p-aminothiophenol- gold nanoparticles on the surface of gold electrodes tethered with p-aminothiophenol, in the presence of gemcitabine as a template molecule. Experimental parameters that control the performance of the sensor were investigated and optimized. Under optimal conditions a calibration curve was obtained in the linear range from 3.8 fM to 38 nM with a limit of detection of 3 fM. The obtained imprinted sensor has the advantages of easy manufacture, high sensitivity and selectivity and good reproducibility. Furthermore the feasibility of the proposed technique has been investigated on spiked serum samples and infusion solution containing gemcitabine.
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http://dx.doi.org/10.1016/j.talanta.2015.01.013 | DOI Listing |
PLoS One
January 2025
Kenya Medical Research Institute, Centre for Microbiology Research, Nairobi, Kenya.
H. pylori (Hp) is highly causative agent of chronic gastritis, gastric cancer and human death worldwide. To address the challenge of H.
View Article and Find Full Text PDFPancreas
January 2025
Digestive Endoscopy Service, Hospital Moriah, São Paulo, SP, Brazil.
Objectives: We compared the performance of AGA-2015, ESG-2018, and IAP-2024 guidelines in referring patients for surgery versus surveillance when applied to incidental after diagnosis by EUS-FNA.
Methods: Single-center, retrospective study with prospective data collection. PLs identified incidentally on CT or MRI/MRCP performed for other diseases with inconclusive imaging results were eligible for analysis.
J Med Internet Res
January 2025
Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Background: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocognitive dysfunction (PND), which significantly affects the patients' prognosis.
Objective: This study used machine learning (ML) algorithms with an aim to extract critical predictors and develop an ML model to predict PND among LT recipients.
Methods: In this retrospective study, data from 958 patients who underwent LT between January 2015 and January 2020 were extracted from the Third Affiliated Hospital of Sun Yat-sen University.
Methods Mol Biol
January 2025
Bioscience, Research and Early Development, Oncology, AstraZeneca, Cambridge, Cambridgeshire, UK.
A protocol for the preparation of tissue extracts for the targeted analysis ca. 150 polar metabolites, including those involved in central carbon metabolism, is described, using a reversed phase ion pair U(H)PLC-MS method. Data collection enabled in high-resolution mass spectrometry detection provides highly specific and sensitive acquisition of metabolic intermediates with wide range physicochemical properties and pathway coverage.
View Article and Find Full Text PDFMikrochim Acta
January 2025
College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China.
A AuNSs@PB@Ag-Apt surface-enhanced Raman scattering (SERS) probe has been developed by embedding Prussian blue (PB) between Au core and Ag shell. The PB SERS probe illustrates strong SERS activity in the Raman silent region of 2070 cm, and has a zero background signal, ensuring high sensitivity for the detection of Staphylococcus aureus (S. aureus).
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