Detection and isolation of circulating tumor cells (CTCs) play a pivotal role in the diagnosis and prognosis of cancer, while the high capture efficiency and purity of CTCs are difficult to achieve simultaneously among the various isolation methods. In this work, we designed an inverted microchip integrating silicon nanowires (SiNWs) and multifunctional magnetic nanocomposites (FeO@C6/Ce6@silane, Coumarin 6 (C6), Chlorin e6 (Ce6)) for enhanced capture efficiency and purity of CTCs. The FeO@C6/Ce6@silane conjugated with antibody can label the CTCs and pull them to the upside SiNWs capture surface by the upward magnetic field with high purity. This inverted structure was also featured with real-time detection and photodynamic therapy (PDT) of CTCs with the confocal laser scanning microscope (CLSM). The results indicate the important role of the composites labels and the magnetic field, which greatly improves the capture purity of the CTCs to 90%. Meanwhile, capture efficiency of CTCs achieve to 90.3% in culture medium and 82% in blood with 2 mL/h flow rate, respectively. Based on the structure of the device and composites, the captured CTCs could be directly inactivated by the in situ photodynamic therapy in the capture process which holds positive impact to block cancer spread.
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http://dx.doi.org/10.1016/j.biomaterials.2017.05.035 | DOI Listing |
Sci Rep
December 2024
Imperial College London, London, UK.
Accurate estimation of the soil resilient modulus (M) is essential for designing and monitoring pavements. However, experimental methods tend to be time-consuming and costly; regression equations and constitutive models usually have limited applications, while the predictive accuracy of some machine learning studies still has room for improvement. To forecast M efficiently and accurately, a new model named black-winged kite algorithm-extreme gradient boosting (BKA-XGBOOST) is proposed.
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December 2024
Kombolcha Institute of Technology, Wollo University, Dessie, Ethiopia.
Alcohol-based fuels have shown high compatibility with spark-ignition (SI) engines, which require improvements in fuel efficiency and emissions reduction to meet modern environmental standards. While extensive research has been conducted on ethanol and other lower-order alcohols, there has been comparatively limited investigation into higher-order alcohols like butanol and pentanol as fuel alternatives. Previous studies on pentanol-gasoline blends in SI engines have demonstrated improved engine performance and reduced emissions.
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December 2024
College of Water Resources Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Accurate prediction of runoff is of great significance for rational planning and management of regional water resources. However, runoff presents non-stationary characteristics that make it impossible for a single model to fully capture its intrinsic characteristics. Enhancing its precision poses a significant challenge within the area of water resources management research.
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December 2024
Department of Computing and Information Systems, Sunway University, 47500, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Urban mobility prediction is crucial for optimizing resource allocation, managing transportation systems, and planning urban development. We propose a novel framework, GeoTemporal LSTM (GT-LSTM), designed to address the intricate spatiotemporal dynamics of urban environments. GT-LSTM integrates temporal dependencies with geographic information through a multi-modal approach that combines attention mechanisms and Recurrent Neural Networks (RNNs).
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December 2024
State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University & Shenzhen University, Chengdu, P.R. China.
Electrochemical CO capture driven by renewable electricity holds significant potential for efficient decarbonization. However, the widespread adoption of this approach is currently limited by issues such as instability, discontinuity, high energy demand, and challenges in scaling up. In this study, we propose a scalable strategy that addresses these limitations by transforming the conventional single-step electrochemical redox reaction into a stepwise electrochemical-chemical redox process.
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