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Design and fabrication of integrated multifunctional probes with intrinsic catalytic and detection abilities is of great importance to simplify the operation in biosensing application with high sensitivity. Herein, dual-emitting lanthanide coordination polymers (Ln-CPs) were facilely prepared by self-assembly of guanine diphosphate (GDP), terephthalic acid (TA), Tb3+ and Cu2+ designated as Tb/Cu-GDP/TA CPs. The doped Cu2+ endowed CPs with obviously enhanced peroxidase mimicking activity compared with free Cu2+. In the presence of H2O2, the probe catalyzed the oxidation of TA generating a new blue fluorescent product, while the fluorescence of Tb3+ decreased simultaneously. Therefore, a new sensitive ratiometric fluorescent sensor for H2O2 has been developed with a good linear range from 0.01 to 300 μM and limit of 1.62 nM. Moreover, the proposed platform could be extended to GSH ratiometric assay in the presence of H2O2, and interestingly, the detection performance could be easily adjusted by adding different concentration of H2O2. This work will facilitate the development of luminescent nanoenzymes based on Ln-CPs to construct the simple ratiomatric sensing platform. [ABSTRACT FROM AUTHOR]

A twice-walk strategy based on a three-dimensional (3D) cleat-equipped DNA walking machine with a high signal amplification efficiency was investigated for ultrasensitive detection of miRNA. Impressively, addition of duplex-specific nuclease (DSN) just once drove the twice-walk strategy, making the strategy simpler. With the advantages of being simple, rapid and ultrasensitive, the biosensor offers potential for use in early clinical diagnosis.

Objective: Investigating the value of predictive care in the perioperative period of PCI is important because it directly affects patients' postoperative recovery and prognostic outcomes. To investigate the application value of predictive nursing based on the European system for cardiac operative risk evaluation (EuroSCORE) in the perioperative period of percutaneous coronary intervention (PCI)., Methods: A total of 138 patients with coronary heart disease who underwent PCI in the hospital from January 2021 to December 2022 were selected as the study subjects. They were divided into the control group (from January 2021 to December 2021, n=69) and the observation group (from January 2022 to December 2022, n=69) according to the time of admission. The control group received routine nursing intervention, while the observation group received predictive nursing based on EuroSCORE. Implementation of EuroSCORE-based predictive care in the observation group includes EuroSCORE assessment, risk stratification, development of personalized care plans, clinical monitoring, medication management, rehabilitation and lifestyle advice, regular communication, and documentation and evaluation. All patients were followed up for 6 months. The situation of hospitalization, cardiac function, quality of life, and the incidence of adverse events were compared between the two groups., Results: The monitoring time, bed rest time, and total hospital stay of the observation group were shorter than those of the control group (P < .05). After the intervention, left ventricular ejection fraction (LVEF) in the observation group was higher than that in the control group, and left ventricular end-diastolic diameter (LVEDD) and left ventricular end-systolic diameter (LVESD) were smaller than those in the control group (P < .05). After the intervention, the scores for symptoms, physical function, satisfaction, and adverse reactions in the quality of life scale of the observation group after PCI were higher than those of the control group (P < .05). The incidence of adverse events in the observation group during follow-up was lower than that in the control group (P < .05)., Conclusion: Predictive nursing based on EuroSCORE can shorten patients' hospital stay undergoing PCI, improve their cardiac function and quality of life, and reduce adverse cardiovascular events. EuroSCORE-based predictive care is critical to PCI patient care and outcomes. It allows for personalized care planning, reduces the risk of complications, improves quality of life, reduces medical burden, and is expected to provide more comprehensive and personalized care and improve the quality of care and outcomes. Future research directions include optimizing the implementation of predictive care in different PCI patient groups, exploring long-term care effects, economic benefit analysis, and patient satisfaction research.