ultrasound-guided-workflow-for-peripheral-venous-access-selection

Ultrasound-Guided Workflow for Peripheral Venous Access Selection, Maintenance, and Dynamic Catheter Adjustment in Adult Hospitalized Patients

Peripheral venous access is the most frequently performed invasive procedure in hospitalized patients; however, conventional experience-based management ...

The Fourth Affiliated Hospital of Soochow University

Bitter taste substances commonly represent a signal of toxicity. Fast and reliable detection of bitter molecules improves the safety of foods and beverages. Here, we report a biosensor using an easily accessible and cost-effective odorant-binding protein (OBP) of  as a biosensitive material for the detection of bitter molecules. Based on the theoretical evaluation of the protein-ligand interaction, binding energies between the OBP and bitter molecules were calculated via molecular docking for the prediction and verification of binding affinities. Through one-step reduction, gold nanoparticles (AuNPs) and reduced graphene oxide (rGO) were deposited on the screen-printed electrodes for improving the electrochemical properties of electrodes. After the electrodes were immobilized with OBPs via layer-by-layer self-assembly, typical bitter molecules, such as denatonium, quinine, and berberine, were investigated through electrochemical impedance spectroscopy. The bitter molecules showed significant binding properties to the OBP with linear response concentrations ranging from 10 to 10 mg/mL. Therefore, the OBP-based biosensor offered powerful analytic techniques for the detection of bitter molecules and showed promising applications in the field of bitter taste evaluation.

Detection of Bitter Taste Molecules Based on Odorant-Binding Protein-Modified Screen-Printed Electrodes.

Photoelectrochemical analysis has been widely used in the field of biosensing due to its high sensitivity and strong anti-interference ability. Herein, a portable and versatile smartphone-based photoelectrochemical biosensing platform was developed for the rapid and on-site biomedical analysis. In the system, light excitation and photocurrent measurements were accomplished by a miniaturized and integrated circuit board. Smartphone with a specifically designed application was utilized to wirelessly control the system via Bluetooth. For photoelectrochemical sensor, graphitic carbon nitride (g-CN) and gold nanoparticles loaded on indium tin oxide electrodes were utilized as photoactive materials and signal amplification elements, respectively. The gold nanoparticles were also used to immobilized matrix metalloproteinase-2 (MMP-2) specific cleavage peptide that modified with bovine serum albumin (BSA) on the terminal. In the presence of MMP-2, the peptide was specifically hydrolyzed and cleaved. Thus, parts of the peptide chain and BSA were detached from the electrode resulting in the decrease of steric hindrance and the increase of photoelectrochemical currents. The photocurrents changed linearly with the logarithm of MMP-2 concentrations ranging from 1 pg/mL to 100 ng/mL in both buffer and artificial serum with correlation coefficient of 0.9943 and 0.9698. The limit of detections were as low as 0.48 pg/mL in buffer and 0.55 pg/mL in artifical serum. It indicated that the biosensor has good linearity and high sensitivity, which also verified the effectiveness of the portable instrument. This system provides a pioneering solution for the development of miniaturized and portable photoelectrochemical analysis instruments used for the field monitoring of different analytes.

Smartphone-based photoelectrochemical biosensing system with graphitic carbon nitride/gold nanoparticles modified electrodes for matrix metalloproteinase-2 detection.

Article	Year
Detection of Bitter Taste Molecules Based on Odorant-Binding Protein-Modified Screen-Printed Electrodes. ACS omega\| PubMed ID: 33134717	2020
Smartphone-based photoelectrochemical biosensing system with graphitic carbon nitride/gold nanoparticles modified electrodes for matrix metalloproteinase-2 detection. Biosensors & bioelectronics\| PubMed ID: 34425518	2021

Qingqing Zhang

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