Single-atom catalysts with extraordinary catalytic activity have been receiving great attention in tumor therapy. However, most single-atom catalysts lack self-propulsion properties, restricting them from actively approaching cancer cells or penetrating the interior of tumors. Herein, we design N-doped jellyfish-like mesoporous carbon nanomotors coordinated with single-atom copper (Cu-JMCNs). It is a combination of singleatom nanocatalytic medicine and nanomotor self-propulsion for cancer therapy. The Cu single atom can catalyze H 2 O 2 into toxic hydroxyl radical ( • OH) for chemodynamic therapy (CDT). Nearinfrared light triggers Cu-JMCNs to achieve self-thermophoretic motion because of the jellyfish-like asymmetric structure and photothermal property of carbon, which significantly improves the cellular uptake and the penetration of three-dimensional tumors. In vivo experiments indicate that the combination of single-atom Cu for CDT and near-infrared light propulsion can achieve over 85% tumor inhibition rate. This work sheds light on the development of advanced nanomotors with single-atom catalysts for biomedical applications.

The time since deposition (TSD) of latent fingermarks (LFMs) serves as "witnesses" for crime scene reconstructions. Nevertheless, existing TSD prediction approaches focused on either physical or chemical aging parameters leading to inaccurate estimation. A novel label-free protocol has been developed, where both physical ridge patterns and lipid oxide (LipOx) degradation kinetics are realized using optical microscopy and scanning electrochemical microscopy (SECM) and combined for TSD prediction. Specifically, the surface interrogation (SI)-SECM titration was utilized to monitor the LipOx degradation in LFM arrays aligned by hole array masks, through which we derived the LipOx degradation function. After establishing the relationship between several titration parameters and titrated area by experimental and numerical simulation methods, the titrated area could be reasonably estimated and subsequently used to calculate the surface coverage of LipOx. Results demonstrated that the tip transient revealed the LipOx coverage of deposited LFMs. Notably, LipOx coverage was found to increase during the first day and then decrease over time, whose degradation rate was susceptible to light. Thus, TSD candidates of an LFM could be limited to two values through the established function. Due to the nonmonotonic trend of LipOx aging, a physical parameter "the gray value ratio (GVR) of furrows to ridges" was proposed to exclude irrelevant TSD through support vector machine (SVM) classification. Ultimately, we predicted TSDs of seven LFMs with estimation errors of 2.2−26.8%. Overall, our strategy, with the outperformed capability of gleaning physical and electrochemical information on LFMs, can provide a truly label-free way of studying LFMs and hold great promise for multidimensional fingerprint information analysis.

A novel strategy has been developed for determining the time since deposition (TSD) of bloodstains on poly (vinylidene difluoride) (PVDF) membrane using scanning electrochemical microscopy (SECM) in the surface interrogation mode. In this approach, the estimation of elapsed time was based on the changes of tip current depending on the reaction between the tip-generated reductant [Ru(NH 3 ) 6 ] 2 + and hemichrome (HC) formed during bloodstain aging. Lateral scanning results of bloodstains with two timelines (4.5-61 h and 2-144 h) were analyzed to establish a current-TSD aging fitting curve for providing quantitative predictions. The results indicate a high correlation between tip current and TSD of a bloodstain. Finally, this method was effectively expanded to differentiate blood fingermarks (BFMs) between 3.5 + 1.5 h and 75.5 + 1.5 h, which was very helpful to establish the relevant association of multiple bloodstains. It shows the great promise for practical use in the dating of BFMs or bloodstains.

Fingerprints provide sufficient and reliable discriminative characteristics which have been considered one of the most robust evidence for individualization. The limitation of current minutiae‐based fingerprint technology seems to be solved with the development of level 3 features since they can offer additional information for problematic fingerprint recognition and even donor profiling. So far, tremendous efforts have been devoted to detecting and analysing the third‐level details. This review summarizes the advances in level 3 details with an emphasis on their reliability assessment, visualization methods based on physical interaction, residue‐response, mass spectrometry and electrochemical techniques, as well as the potentiality for individualization, donor profiling and even other application scenarios. In the end, we also give a personal perspective on the future direction and the remaining challenges in the third‐level‐detail‐related field. We believe that the new exciting progress is expected in the development of level 3 detail detection and analysis with continued interest and attention to this field.

Level 3 characteristics are increasingly important for fingerprint identification, particularly when the fingerprints are problematic and lack level 2 details. In practice, no reliable visualization methods for level 3 features are transferred into a course for the general public, forensic students, or investigators. Our group has reported the membrane/water technique and wet-membrane method as simple, instantaneous, high-resolution, and reproducible methods for visualizing level 3 features of latent fingerprints (LFPs). Herein, we designed a simple-to-operate laboratory course on sweat pore visualization and analysis via the two methods mentioned. Three modules are included, and students participate in different modular combinations according to their interests and specialties. Module 1, consisting of a 15 min lecture on fingerprint theory followed by a brief demonstration of visualization procedures, is designed for broad audiences ranging from primary school to college laboratories. In module 2, students explored the deposition force impact on level 3 features (for students majoring in forensic science). Module 3 customized for forensic upperdivision undergraduates and postgraduates invites them to conduct Gaussian fitting of the pore area and adjacent pore distance. After discussion, students form their own opinions on the identifiable strengths of the above parameters in fingerprint matching. In a way, this experiment can be evolved into the elective course and specialized curriculum, where elective course containing module 1 can stimulate public interest in chemistry and specialized curriculum including modules 1−2 (or modules 1−3) may guide students to extract level 3 features and understand the role of level 3 features at a quantitative level.