Compact In Situ Electrochemical NMR with Wireless and Anti-interference Strategy in Multiscenario Applications.

The integration of electrochemistry with nuclear magnetic resonance (NMR) spectroscopy recently offers a powerful approach to understanding oxidative metabolism, detecting reactive intermediates, and predicting biological activities. This combination is particularly effective as electrochemical methods provide excellent mimics of metabolic processes, while NMR spectroscopy offers precise chemical analysis. NMR is already widely utilized in the quality control of pharmaceuticals, foods, and additives and in metabolomic studies. However, the introduction of additional and external connections into the magnet has posed challenges, leading to signal deterioration and limitations in routine measurements. Herein, we report an anti-interference compact in situ electrochemical NMR system (AICISENS). Through a wireless strategy, the compact design allows for the independent and stable operation of electrochemical NMR components with effective interference isolation. Thus, it opens an avenue toward easy integration into in situ platforms, applicable not only to laboratory settings but also to fieldwork. The operability, reliability, and versatility were validated with a series of biomimetic assessments, including measurements of microbial electrochemical systems, functional foods, and simulated drug metabolisms. The robust performance of AICISENS demonstrates its high potential as a powerful analytical tool across diverse applications.

Enhanced Nanoparticle Recognition via Deep Learning-Accelerated Plasmonic Sensing.

Surface plasmon microscopy proves to be a potent tool for capturing interferometric scattering imaging data of individual particles at both micro and nanoscales, offering considerable potential for label-free analysis of bio-particles and bio-molecules such as exosomes, viruses, and bacteria. However, the manual analysis of acquired images remains a challenge, particularly when dealing with dense samples or strong background noise, common in practical measurements. Manual analysis is not only prone to errors but is also time-consuming, especially when handling a large volume of experimental images. Currently, automated methods for sensing and analysis of such data are lacking. In this paper, we develop an accelerated approach for surface plasmon microscopy imaging of individual particles based on combining the interference scattering model of single particle and deep learning processing. We create hybrid datasets by combining the theoretical simulation of particle images with the actual measurements. Subsequently, we construct a neural network utilizing the EfficientNet architecture. Our results demonstrate the effectiveness of this novel deep learning technique in classifying interferometric scattering images and identifying multiple particles under noisy conditions. This advancement paves the way for practical bio-applications through efficient automated particle analysis.

Rehabilitation Therapy for Vocal Fold Paralysis Caused by Lung Cancer: A Case Report.

OBJECTIVE: Unilateral vocal fold paralysis (UVFP) can be caused by iatrogenic injury or tumor-induced damage to the recurrent laryngeal nerve. Studies of comprehensive rehabilitation therapies for patients suffering from severe UVFP are limited. The purpose of this case report is to describe an improvement in complete aphonia after comprehensive rehabilitation therapies in a patient with severe UVFP due to a lung tumor. METHODS: An 81-year-old woman with a history of bronchial adenoma had complete aphonia due to compression of the left recurrent laryngeal nerve by the tumor. Dynamic fibrolaryngoscope revealed paralysis of the left vocal fold. The patient was treated with interferential current therapy, vocal training, and kinesiology taping. Indicators of voice recovery were scored according to the grade, roughness, breathiness, asthenia, strain scale, and the voice handicap index. RESULTS: After 10 days of comprehensive rehabilitation treatment, the patient recovered from complete aphonia to normal communication. The hoarseness and breathiness of patient were significantly improved. In addition, the grade, roughness, breathiness, asthenia, strain, and the voice handicap index scores changed from severe to mild or absent. CONCLUSION: This case provided a novel comprehensive treatment for a patient with UVFP, which was safe, cost-effective, and easy to implement in clinic.

Batroxobin in combination with anticoagulation may promote venous sinus recanalization in cerebral venous thrombosis: A real-world experience.

AIMS: The objective of this study was to evaluate cerebral venous recanalization with magnetic resonance black-blood thrombus imaging (MRBTI) in patients with cerebral venous thrombosis (CVT) who underwent batroxobin treatment in combination with anticoagulation. METHODS: A total of 31 CVT patients were enrolled in this real-world registry study. The patients were divided into batroxobin (n = 21) and control groups (n = 10). In addition to the same standard anticoagulation as in the control group, patients in the batroxobin group underwent intravenous batroxobin for a total of three times. RESULTS: In the batroxobin group compared with the control group, we found better odds of recanalization degree [adjusted OR (95%CI) of 8.10 (1.61-40.7)] and segment-stenosis attenuation [adjusted OR (95%CI) of 4.48 (1.69-11.9)] with batroxobin treatment. We further noted a higher ratio of patients with the attenuation of stenosis [adjusted OR (95%CI) of 26.4 (1.10-635)]; as well as a higher ratio of segments with stenosis reversion [adjusted OR (95%CI) of 4.52 (1.48-13.8)]. However, neurological deficits between the two groups showed no statistical difference at 90-day follow-up (P > 0.05). CONCLUSIONS: Batroxobin may promote venous sinus recanalization and attenuate CVT-induced stenosis. Further randomized study of this promising drug may be warranted to better delineate the amount of benefit.

Evolution of the SrTiO3-MoO3 Interface Electronic Structure: An in Situ Photoelectron Spectroscopy Study.

Modifying the surface energetics, particularly the work function of advanced materials, is of critical importance for a wide range of surface- and interface-based devices. In this work, using in situ photoelectron spectroscopy, we investigated the evolution of electronic structure at the SrTiO3 surface during the growth of ultra-thin MoO3 layers. Because of the large work function difference between SrTiO3 and MoO3, the energy band alignment on the SrTiO3 surface is significantly modified. The charge transfer and dipole formation at the SrTiO3-MoO3 interface leads to a large modulation of work function and to apparent doping in SrTiO3. The measured evolutions of electronic structure and upward band bending suggest that the growth of ultra-thin MoO3 layers is a powerful tool with which to modulate the surface energetics of SrTiO3, and this surface engineering approach could be generalized to other functional oxides.