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In this study, we designed a molecularly imprinted polymers-dispersive solid-phase extraction-high-performance liquid chromatography (MIPs-DSPE-HPLC) method, as a simple and efficient platform for the sensitive detection of two sulfonamide antibiotics (SAs) of sulfamethoxine (SMM) and sulfamethoxazole (SMZ) in environmental water samples. Using SMM and SMZ as templates, methacrylic acid as the functional monomer, ethylene glycol dimethacrylate as the crosslinking agent, and azodiisobutyronitrile as the catalyst, the dual-template molecularly imprinted polymers (dt-MIPs) were successfully synthesized via surface imprinting technology and multi-template imprinting strategy. The adsorption properties of the prepared MIPs were characterized, and the adsorption capacities of MIPs towards SMZ and SMM were 27.35 mg/g and 30.92 mg/g, respectively. The detection limits of the method in three environmental water samples were in the range of 0.23–1.74 μg/L, and the recoveries were between 82.7 and 110.3%, with relative standard deviations less than 5.93%. The construction process of this MIPs-DSPE-HPLC method is straightforward, exhibits high sensitivity and selectivity, and thus provides a versatile method for the quantification of SAs in complex matrices. [ABSTRACT FROM AUTHOR]

Mesoporous silica, as a drug carrier, has become the new research focus in the field of nanodrug delivery system in recent years. In this study, Mn-doped mesoporous silicas are synthesized by template and in-situ doping method and physically characterized. The drug-loading performance of silica and its impact on drug release are studied. The Mn-doped mesoporous silicas show dendritic morphology (MDMS) with a loose wrinkle structure on the surface and a large number of pores. MDMS is used as a carrier to solve the problem of low water solubility of paclitaxel. In order to avoid leakage during drug transportation, the surface of Mn-doped mesoporous silica loaded with paclitaxel is coated with N-succinyl chitosan to construct a new type of nanodrug delivery system (MDMS-PTX-NSC). Compared to MDMS, MDMS-PTX-NSC shows an increase in particle size and smooth surface. The dissolution characteristics of manganese ions and swelling behavior of N-succinyl chitosan make MDMS-PTX-NSC delivery system exhibit a good pH-responsive release. And MDMS-PTX-NSC release curve can be well fitted by Ritger-Peppas equation. The cytotoxicity test shows that the MDMS-PTX-NSC has significant biocompatibility and enhanced cytotoxicity, which reveals that the MDMS-PTX-NSC is a promising nanodrug delivery system. By template and in-situ doping method, Mn-doped dendritic mesoporous silica (MDMS) was prepared, which was then loaded with paclitaxel (PTX) and coated using a N-succinyl chitosan (NSC) to develop a new nanodrug delivery system (MDMS-PTX-NSC). Due to the dissolution characteristics of manganese ions and swelling behavior of N-succinyl chitosan, the MDMS-PTX-NSC delivery system exhibited a sufficient pH-responsive release, significant biocompatibility, and enhanced cytotoxicity. [ABSTRACT FROM AUTHOR]

Reducing vehicle emissions and minimizing the impact of the transportation industry on the environment are key to achieving global sustainable development goals. China-6 emissions standard requires light-duty gasoline vehicles to meet the emissions limit requirements for particulate number (PN) emissions. Therefore, light-duty gasoline vehicles must also be equipped with a gasoline particulate filter (GPF) in addition to the three-way catalytic converter (TWC) and meet the emissions limit requirements within a durability mileage of 200,000 km. Currently, there is very little research on the impact of GPF degradation on the fuel economy and emissions of gasoline vehicles, especially on the newly restricted N2O emissions. This study adopts the vehicle test method to study the deterioration of emissions of a China-6 light-duty gasoline vehicle with driving mileage. The research results show that the emissions of gasoline vehicles still meet the emissions limit after driving 200,000 km, and the deterioration factors of various emission pollutants are less than the recommended deterioration factors. The gasoline vehicle's carbon dioxide (CO2) emission and fuel consumption increase by less than 3%, indicating that the aging of vehicle components, including TWC and GPF, has no significant impact on vehicle fuel economy. [ABSTRACT FROM AUTHOR]

Gelatin-based hydrogels with excellent mechanical properties and conductivities are desirable, but their fabrication is challenging. In this work, an innovative approach for the preparation of gelatin-based conductive hydrogels is presented that improves the mechanical and conductive properties of hydrogels by integrating Z–Gln–Gly into gelatin polymers via enzymatic crosslinking. In these hydrogels (Gel–TG–ZQG), dynamic π–π stacking interactions are created by the introduction of carbobenzoxy groups, which can increase the elasticity and toughness of the hydrogel and improve the conductivity sensitivity by forming effective electronic pathways. Moreover, the mechanical properties and conductivity of the obtained hydrogel can be controlled by tuning the molar ratio of Z–Gln–Gly to the primary amino groups in gelatin. The hydrogel with the optimal mechanical properties (Gel–TG–ZQG (0.25)) exhibits a high storage modulus, compressive strength, tensile strength, and elongation at break of 7.8 MPa at 10 °C, 0.15 MPa at 80% strain, 0.343 MPa, and 218.30%, respectively. The obtained Gel–TG–ZQG (0.25) strain sensor exhibits a short response/recovery time (260.37 ms/130.02 ms) and high sensitivity (0.138 kPa−1) in small pressure ranges (0–2.3 kPa). The Gel–TG–ZQG (0.25) hydrogel-based sensors can detect full-range human activities, such as swallowing, fist clenching, knee bending and finger pressing, with high sensitivity and stability, yielding highly reproducible and repeatable sensor responses. Additionally, the Gel–TG–ZQG hydrogels are noncytotoxic. All the results demonstrate that the Gel–TG–ZQG hydrogel has potential as a biosensor for wearable devices and health-monitoring systems. [ABSTRACT FROM AUTHOR]