A sustainable and expedited 'One-Stop' prostate cancer diagnostic pathway to reduce environmental impact and enhance accessibility.

Objective: To assess the carbon footprint, accessibility, and diagnostic performance of an expedited 'One-Stop' prostate cancer (PCa) diagnostic pathway.

Materials And Methods: A total of 1083 consecutive patients undergoing magnetic resonance imaging (MRI) followed by transrectal ultrasound fusion-guided prostate biopsy (PBx) were identified from a prospective database. The patients were divided according to the diagnostic pathway: One-Stop, with MRI and same-day PBx (3 hours apart), or Standard, with MRI followed by a second visit for PBx.

ICT-based fluorescent nanoparticles for selective cyanide ion detection and quantification in apple seeds.

In this report, we successfully engineered a novel probe based on an acceptor-donor-acceptor (A-D-A) architecture featuring dicyanovinyl-substituted thieno[3,2-]thiophene, termed DCVTT. The designed probe self-assembles into luminous nanoparticles (DCVTT NPs) upon introducing mixed aqueous solutions. These fluorescent nanostructures served as a ratiometric probe for detecting cyanide (CN) ions in aqueous-based environments, owing to the robust Intramolecular Charge Transfer (ICT) characteristics of DCVTT.

Recent advances in heterogeneous porous Metal-Organic Framework catalysis for Suzuki-Miyaura cross-couplings.

Suzuki-Miyaura coupling (SMC), a crucial C-C cross-coupling reaction, is still associated with challenges such as high synthetic costs, intricate work-ups, and contamination with homogeneous metal catalysts. Research intensely focuses on strategies to convert homogeneous soluble metal catalysts into insoluble powder solids, promoting heterogeneous catalysis for easy recovery and reuse as well as for exploring greener reaction protocols. Metal-Organic Frameworks (MOFs), recognized for their high surface area, porosity, and presence of transition metals, are increasingly studied for developing heterogeneous SMC.

Electrochemical immunosensor for the predictive cancer biomarker SLFN11 using reduced graphene oxide/MIL-101(Cr)-NH composite.

SLFN11 is a predictive cancer biomarker essential for identifying tumors that are sensitive to DNA-damaging agents, facilitating more personalized and effective treatment approaches. Detecting this biomarker can guide therapeutic decisions and improve outcomes for cancer patients. However, existing detection methods for SLFN11 are complex and require advanced techniques.