Rapid preparation of MnO ₂ and by using MnO ₂ for colorimetric detection of GSH.

We describe functional two-dimensional materials via the combination of pillar[5]arene and MXene, which exhibit high supramolecular recognition, enrichment capability, and high electrochemical response toward dye molecules.

In industrial production, the continuous, efficient and energy‐saving separation of alkylaromatic compounds has always been a challenge. Herein, we designed and synthesized the functional pillararene (TP5A) via a thiol‐alkene click reaction. We modified TP5A molecules into the surface of anodic aluminum oxide nanochannels via a simple two‐step condensation reaction for fabricating TP5A channel, confirming by the X‐ray photoelectron spectroscopy, contact angle, laser scanning confocal microscopy, energy‐dispersive X‐ray spectroscopy, Fourier transform infrared spectroscopy and current‐voltage curves. This biomimetic nanochannels can be used to separate para‐xylene from its structural isomers. We speculate that the host‐guest interaction between TP5A and para‐xylene is responsible for the emergence of selectivity, confirmed by the molecular simulation. This study provides a potential approach to membrane separation and may also contribute to the development of artificial nanofluids.

The dynamic concentration of drugs in the blood reflect pharmacokinetic characteristics and serves as crucial indicators of therapeutic efficacy and medication safety. This underscores the necessity of real-time monitoring to guide individualized dosing and reduce adverse effects, thus requiring rapid and accurate therapeutic drug monitoring (TDM) to optimize patient outcomes and minimize side effects. To this end, a colorimetric nanozyme-based nanosensor was constructed for the detection of isoniazid (INH). In the presence of INH, ·O₂^- generated by the nanozyme with excellent oxidase-like activity were effectively scavenged, thereby inhibiting the chromogenic reaction of the nanozyme substrate and enabling the rapid quantification of INH in biological samples. In this study, two methods were developed: UV-Visible spectrophotometry and a smartphone-based RGB extraction method for rapid quantification of INH in tablets and biological samples. Smartphone imaging integrated with machine learning compared Convolutional Neural Network (CNN), Random Forest (RF), and Logistic Regression (LR) models under dark box condition, followed by training the best model under dark box and ambient lighting. The results showed that under optimized conditions (pH 5 buffer, 25℃, 10 min), UV-Visible spectrophotometry achieved a detection range of 1-30 µM (LOD: 0.582 µM), while the smartphone-based RGB method achieved 3-30 µM (LOD: 1.368 µM). Spiked recovery rates were 98.08%-111.25% for INH tablets and 97.10%-100.51% for rat serum. Machine learning results showed CNN outperforming RF and LR under dark-box conditions, with consistent prediction accuracy under dark-box and ambient lighting (MAE: 1.230 and 1.160 µM, respectively), validating robustness under varying environments. Ultimately, this integrated nanoprobe-based detection platform stands to significantly improve clinical anti-tuberculosis therapeutic drug monitoring by substantially increasing the accessibility, reliability, and scalability of INH concentration detection.

The biological channels with chiral features are capable of intelligently regulating substance transport through cell membrane, which plays a pivotal role in maintaining normal functions for living organisms. However, the high complexity and variability of biological nanochannels are the major constraints on practical studies. At present, artificial solid-state channels have been developed to simulate the functionality of biological channels. The functional groups are often introduced into nanochannels to achieve selective sensing and transport molecules. In particular, the fast-paced progress has been made in developing artificial chiral nanochannels. This review highlights the recent advancement of artificial chiral nanochannels as constructed using various strategies, including chiral macrocyclic hosts, amino acids, and label-free methods, which are expected to support the researchers working in fields such as supramolecular chemistry, chiral chemistry, and drug development. Graphical Abstract