AI Medical Compendium Journal:
RSC advances

Showing 51 to 60 of 132 articles

Modification of a nitrocellulose membrane with nanofibers for sensitivity enhancement in lateral flow test strips.

RSC advances
Lateral-flow analysis (LFA) is a convenient, low-cost, and rapid detection method, which has been widely used for screening of diseases. However, sensitivity enhancement in LFA is still a focus in this field and remains challenging. Herein, we propos...

Design, synthesis and mechanistic study of new benzenesulfonamide derivatives as anticancer and antimicrobial agents carbonic anhydrase IX inhibition.

RSC advances
Changes in gene expression cause uncontrolled cell proliferation and consequently tumor hypoxia. The tumor cells shift their metabolism to anaerobic glycolysis with a significant modification in pH. Therefore, an over expression of carbonic anhydrase...

Promising antimicrobial and antibiofilm activities of reduced graphene oxide-metal oxide (RGO-NiO, RGO-AgO, and RGO-ZnO) nanocomposites.

RSC advances
Microbial infections are considered one of the most dangerous infections in humans due to their resistance to most antimicrobial agents. In this study, nanocomposites based on reduced graphene oxide (RGO) and metal oxides (NiO, AgO, and ZnO) were fab...

The development and validation of a sensitive HPLC-MS/MS method for the quantitative and pharmacokinetic study of the seven components of Fort.

RSC advances
Fort., a traditional Chinese medicine, has demonstrated anti-inflammatory, immunomodulatory, antidementia, neuroprotective, antibacterial, and antioxidant effects. Its flowers, leaves, and roots have been used as traditional Chinese medicines. A sim...

Transmol: repurposing a language model for molecular generation.

RSC advances
Recent advances in convolutional neural networks have inspired the application of deep learning to other disciplines. Even though image processing and natural language processing have turned out to be the most successful, there are many other domains...

A property-oriented adaptive design framework for rapid discovery of energetic molecules based on small-scale labeled datasets.

RSC advances
It remains an important challenge to apply machine learning in material discovery with limited-scale datasets available, in particular for the energetic materials. Motivated by the challenge, we developed a Property-oriented Adaptive Design Framework...

Study on the graft modification mechanism of macroporous silica gel surface based on silane coupling agent vinyl triethoxysilane.

RSC advances
In this research, the graft modification mechanism of coupling agent vinyl triethoxysilane (KH-151) to macroporous silica gel was studied using a combination of multiple methods. SEM, FTIR, RAMAN, NMR and XPS were used to characterize the silica gel ...

A model of modified -iodobenzylguanidine conjugated gold nanoparticles for neuroblastoma treatment.

RSC advances
Iodine-131 -iodobenzylguanidine (I-IBG) has been utilized as a standard treatment to minimize adverse side effects by targeting therapies to bind to the norepinephrine transporter (NET) expressed on 90% of neuroblastoma cells. However, only a minorit...

Seasonal dynamics of the phenolic constituents of the cones and leaves of oriental ( L.) reveal their anti-inflammatory biomarkers.

RSC advances
In this study, the seasonal dynamics of the flavonoids in the cones and leaves of oriental ( L. Franco) as well as the anti-inflammatory activity of their extracts were investigated. The important chemical markers of the studied extracts were deter...

Nylon membranes modified by gold nanoparticles as surface-enhanced Raman spectroscopy substrates for several pesticides detection.

RSC advances
Surface enhanced Raman spectroscopy (SERS) is an attractive means for trace compound detection because of its high sensitivity, however, the poor reproducibility is a major challenge. Herein, we propose a facile SERS strategy employing the several de...