Lorenzenjakobsen6894

The optimized imprinting time was 70 min, giving an optimal performance with high practical imprinting efficiency (up to 41%), high imprinting factor (4.2), high binding affinity (Kd=(2.05 ± 0.09) × 10-5 M), as well as excellent recognition selectivity. Moreover, compared to bare MNPs, Mb-imprinted MNPs possessed markedly better pH tolerance. Finally, the selective extraction of Mb from human serum sample by Mb-imprinted MNPs was experimentally confirmed and the recoveries of Mb in spiked serum ranged from (91.12 ± 6.81)% to (107.99 ± 7.76)%, indicating that the Mb-imprinted MNPs could be competent for the selective analysis of Mb in real bio-samples like human serum with high precision and reliability.Fiber-based techniques make it possible to implant a miniaturized and flexible surface plasmon resonance (SPR) sensor into the human body for glucose detection. However, the miniaturization of fiber SPR sensors results in low sensitivity compared with traditional prism-type SPR sensors due to limited sensing area. In this paper, we proposed a D-shaped fiber SPR sensor with a composite nanostructure of molybdenum disulfide (MoS2)-graphene to improve the sensor sensitivity. Compared with the traditional cylindrical fiber, the planar sensing area on the side-polished fiber makes it easier to modify two-dimensional materials. Chemical vapor deposition (CVD) graphene and CVD MoS2 were modified on the sensor surface to obtain the MoS2-graphene composite nanostructure. π-π stacking interactions were used to modify pyrene-1-boronic acid (PBA) on the graphene. The excellent photoelectric properties of the MoS2-graphene composite nanostructure and the ability of PBA to specifically bind glucose molecules improved the glucose detection performance of the SPR sensor. The results show that specific detection of glucose was realized and that the highest sensitivity was achieved with three-layer MoS2 and monolayer graphene.The flower-like porous In2O3 pompon assembled from two-dimensional (2D) nanosheets was synthesized through a simple thiourea-assistant hydrothermal method following the annealed process. The scanning electron microscopy (SEM) and transmission electron microscopy (TEM) images manifest that the In2O3 pompon possesses a clear porous structure with a nanosheet thickness of about 37.5 nm. Further, we compare the performance of intermediate products (In2S3, In2S3/In2O3) and In2O3 nanostructures as ethanol detection gas sensors. The fabrication of In2O3-based sensors exhibits enhanced ethanol sensing performance than that of In2S3/In2O3-based and In2S3-based sensors, which is mainly attributed to more chemical oxygen and oxygen vacancies on the material surface. The In2O3-based sensors for ethanol detection revealed a wide linear range from 2 ppm to 100 ppm, meanwhile the corresponding detection limits (LOD) as low as ~0.4 ppm at 260 °C. And the In2O3-based sensors also exhibit superior repeatability and reliable selectivity. The simple fabrication strategy of 2D nanosheets-assembled flower-like In2O3 porous pompon may facilitate other ethanol gas sensors production and other 2D metal oxide semiconductor materials-based sensors preparation.Traditional sandwich-type electrochemical immunosensors can only detect single tumor markers because signal interference occurs when detecting multiple tumor markers. In this work, an electrical signal difference strategy was proposed for the accurate detection of multiple tumor markers. We labeled PdAgCeO2 mesoporous nanospheres with a carcinoembryonic antigen (CEA) secondary antibody and MnO2 nanosheets labeled with an alpha-fetoprotein (AFP) secondary antibody. The two electrical signal tags were mixed and incubated on a prepared immunosensor to catalyze H2O2 and generate an electrical signal I1 (i-t ampere curve). When 2.5 mM ascorbic acid solution (AA) was added to 20 mL of PBS solution at pH = 6.5 for 180 s, an electrical signal I2 was generated. I2 was the current response of the CEA antigen concentration, and the electrical signal difference ΔI = I1-I2 was the current response of the AFP antigen. Thus, the immunosensor accurately detected the AFP and CEA tumor markers. This method was called the electrical signal difference strategy. The proposed single-use immunosensor detected CEA antigens in a range of 0.001 ng/mL-40 ng/mL, and the detection limit was 0.5 pg/mL; the detection range of the AFP antigen was 0.005 ng/mL-100 ng/mL, and the detection limit was 1 pg/mL. Therefore, this study provides new ideas and strategies for accurate clinical detection of multiple tumor markers.Earlier studies suggest that SO2 gas reacts at the surface of mineral dust and forms sulfites or bisulfites, which are then converted to sulfates. In order to monitor and quantify the amounts of both sulfites and sulfates formed on the surface of mineral dusts of volcanic and desert origins an accurate and precise reversed-phase liquid chromatography method was developed and validated to extract, stabilize and individually analyze sulfites and sulfates initially present on the surface of dusts exposed to SO2. this website The method was developed on a 25 mm Restek Ultra Column C18, Particle size 5 μm, I.D. 4.60 mm column which was dynamically coated with 1.0 mM cetylpyridinium chloride in 7% acetonitrile solution to produce a charged surface as recommended in the literature. Mobile phase used 1 mM Potassium Hydrogen Phthalate at pH 6.5 at a flow rate of 1.0 ml/min with negative UV-Vis detection at 255 nm in 15 min. The method was validated for specificity, linearity and range, injection repeatability, stability, robustness, limit of detection and limit of quantitation, and sample preparation and extraction reproducibility. The method was adapted for straight sulfite and sulfate quantification (i) of environmental samples, and (ii) natural samples additionally exposed to SO2 gas in a dedicated laboratory setup. The method was then successfully applied to quantify sulfites and sulfates on natural volcanic and a desert dust samples both collected in the environment and additionally exposed to SO2 gas in the laboratory. The method can be efficiently used to identify sulfites and sulfates on fresh volcanic ash following an eruption, on aeolian desert dust exposed to industrial pollutants, as well as for laboratory investigations of sulfite and sulfate formation on the surface of minerals and natural dusts of different origins.