Self-calibrated paper-based nanoarrays for background-free quantitative detection of pesticides using self-assembly and mask-assisted techniques.

Flexible surface-enhanced Raman scattering (SERS) has received considerable attention in the field of rapid analysis. However, obtaining accurate quantitative SERS results remains challenging. Here, we develop a SERS sensor based on self-assembly and mask-assisted techniques for the precise transfer of Au@PB@Ag nanoarrays onto filter paper.

Nanozyme catalyzed-SERRS sensor for the recognition of dopamine based on AgNPs@PVP with oxidase-like activity.

Dopamine (DA), as one of the most significant neurotransmitters, is closely related to several diseases. Achieving rapid and sensitive detection of DA remains a challenge. Herein, we proposed a simple, fast, and sensitive method for DA recognition based on surface-enhanced resonance Raman scattering (SERRS) technique.

A novel RhB@MOF-808 fluorescent probe for the rapid detection of dopamine and Fe.

Dopamine (DA) and Fe as the important bioactive ingredients, playing an indispensable role in human metabolism. Therefore, developing the accurate detection of DA and Fe is of great significance for disease screening. Herein, we put forward a simple, rapid, and sensitive fluorescent detection strategy for the detection of dopamine and Fe based on Rhodamine B-modified MOF-808 (RhB@MOF-808).

Skill Movement Trajectory Recognition of Freestyle Skiing U-Shaped Field Based on Deep Learning and Multitarget Tracking Algorithm.

Freestyle skiing U-shaped field is a snow sport that uses double boards to perform a series of action skills in a U-shaped pool, which requires very high skills for athletes. In this era of deep learning, in order to develop a more scientific training method, this paper combines multitarget tracking algorithm and deep learning to conduct research in freestyle skiing U-shaped venue skills motion capture. Therefore, this paper combines the convolutional neural network and multitarget tracking algorithm in deep learning to study the human action recognition technology, and then uses the LSTM module to study the freestyle skiing U-shaped venue skills.

Visualization of vibrational-resolution charge transfer enhanced resonance Raman scattering spectroscopy.

In this paper, we report visualization of vibrational-resolution charge transfer enhanced resonance Raman scattering Spectroscopy. Based on the first-principles calculation method, we calculated and analyzed the electronic excitation characteristics of the molecules as well as the spontaneous Raman and resonance Raman spectra. Through the visualization of the electronic excitation characteristics, it is found that the Raman signal of the atomic group vibration mode occupied by the charge transfer excitons is significantly enhanced.