A5018841260- Biosensors and Analytical Detection
- Advanced biosensing and bioanalysis techniques
- Genetics, Aging, and Longevity in Model Organisms
- Advanced Biosensing Techniques and Applications
- Gold and Silver Nanoparticles Synthesis and Applications
- Innovative Microfluidic and Catalytic Techniques Innovation
- 3D Printing in Biomedical Research
- Electrospun Nanofibers in Biomedical Applications
- Advanced Cellulose Research Studies
- Higher Education Research Studies
- Online Learning and Analytics
- CCD and CMOS Imaging Sensors
- Real-time simulation and control systems
- Advanced Memory and Neural Computing
- Metal-Organic Frameworks: Synthesis and Applications
- IoT and Edge/Fog Computing
- Nanowire Synthesis and Applications
- Wireless Body Area Networks
- Power Systems and Technologies
- Electrowetting and Microfluidic Technologies
- Innovative Teaching Methods
- 2D Materials and Applications
- Medicinal Plants and Neuroprotection
- Electrochemical sensors and biosensors
- Nanocomposite Films for Food Packaging
Xi’an Jiaotong-Liverpool University
2021-2025
University of Liverpool
2022-2025
Jilin University
2024
Purdue University Northwest
2019
A single rotary-valve assisted paper-based immunoassay device (RAPID) for early screening of Alzheimer's disease (AD), enables fully automated and efficient detection the AD biomarker.
Abstract The 2020 COVID-19 pandemic has greatly accelerated the adoption of online learning and teaching in many colleges universities. Video, as a key integral part education, largely influences student experiences. Though guidelines on designing educational videos have been reported, quantitative data showing impacts video length students’ academic performance credit-bearing course is limited, particularly for an online-flipped college engineering course. forced lockdown enables suitable...
Abstract Nanocomposite represents the backbone of many industrial fabrication applications and exerts a substantial social impact. Among these composites, metal nanostructures are often employed as active constituents, thanks to their various chemical physical properties, which offer ability tune application scenarios in thermal management, energy storage, biostable materials, respectively. Nanocellulose, an emerging polymer substrate, possesses unique properties abundance, mechanical...
Caenorhabditis elegans ( C. ) has been a popular model organism for several decades since its first discovery of the huge research potential modeling human diseases and genetics. Sorting is an important means providing stage- or age-synchronized worm populations many worm-based bioassays. However, conventional manual techniques sorting are tedious inefficient, commercial complex object parametric analyzer sorter too expensive bulky most laboratories. Recently, development lab-on-a-chip...
Nanofibrillated cellulose paper (nanopaper) has gained growing interest as one promising substrate material for paper-based microfluidics, thanks to its ultrasmooth surface, high optical transparency, uniform nanofiber matrix with nanoscale porosity, and tunable chemical properties. Recently, research on nanopaper-based microfluidics quickly advanced; however, the current technique of patterning microchannels nanopaper (i.e., 3D printing, spray coating, or manual cutting sticking), that is...
Metal–organic frameworks (MOFs), which are composed of crystalline microporous materials with metal ions, have gained considerable interest as promising substrate for surface-enhanced Raman scattering (SERS) detection via charge transfer. Research on MOF-based SERS substrates has advanced rapidly because the MOFs' excellent structural tunability, functionalizable pore interiors, and ultrahigh surface-to-volume ratios. Compared traditional noble plasmons, MOFs exhibit better biocompatibility,...
The Caenorhabditis elegans (C. elegans) is an ideal model organism for studying human diseases and genetics due to its transparency suitability optical imaging. However, manually sorting a large population of C. experiments tedious inefficient. microfluidic-assisted chip considered promising platform address this issue automation ease operation. Nevertheless, automated with multiple parameters requires efficient identification technology the different research demands worm phenotypes. To...
This paper reports a microfluidic paper-based analytical device (µPAD), featuring novel, highly integrated on-chip rotary valve, for autonomous enzyme-linked immunosorbent assay (ELISA). Unlike existing valving methods on µPADs, this valve allows regulation of multiple flows with single leading to ease assembly and small footprint high integration level. The micromotor-controlled is also programmable reliable, has fast response (76 ± 0.6ms, n=20, ~500 times faster than previous smart...
Dynamic deep learning is considered to simulate the nonlinear memory process of human brain during long-term potentiation and depression. Here, we propose a photoelectrically modulated synaptic transistor based on MXenes that adjusts nonlinearity asymmetry by mixing controllable pulses. According advantage residual learning, rule dynamic thus elaborately developed improve accuracy highly homologous database (colorimetric enzyme-linked immunosorbent assay [c-ELISA]) from 80.9% 87.2% realize...
Nanopaper, derived from nanofibrillated cellulose, has generated considerable interest as a promising material for microfluidic applications. Its appeal lies in range of excellent qualities, including an exceptionally smooth surface, outstanding optical transparency, uniform nanofiber matrix with nanoscale porosity, and customizable chemical properties. Despite the rapid growth nanopaper-based microfluidics, current techniques used to create microchannels on nanopaper, such 3D printing,...
Abstract The Final Year Project (FYP) is one of the most important courses for every undergraduate student, and effective operation FYPs in higher education still faces challenges, such as uneven resource distribution limited efficiency. This study reports a mixed-methods approach to impact student-centered FYP allocation mechanism on student performance. research aims investigate how aligning students’ choices with their interests can inspire motivation enhance academic More importantly,...
This paper presents a smartphone-assisted microfluidic paper-based analytical device (μPAD), which was applied to detect Alzheimer's disease biomarkers, especially in resource-limited regions. implements deep learning (DL)-assisted offline smartphone detection, eliminating the requirement for large computing devices and cloud power. In addition, smartphone-controlled rotary valve enables fully automated colorimetric enzyme-linked immunosorbent assay (c-ELISA) on μPADs. It reduces detection...
This paper introduces a high-integrated microfluidic paper-based analytical device (μPAD) that has reliable and programmable rotary valve automated injection device. By controlling the rotation of valves, different regions on μPAD can be connected or disconnected, allowing reagents to effectively transported test zone. In order address limitations traditional chemiluminescent immunoassays (CLIA), which involve expensive equipment extensive manual operations, we utilize smartphone read...
This research paper introduces a new learning tool to increase student interests in power engineering. Insufficient visualization of the real system operation and boring theory knowledge cause general lack interest systems. realized design 3D virtual using 3ds Max Unity3D software. Microgrid system, one significant example is selected demonstrate visualization. The built microgrid can vividly show details function each component Microgrid. Therefore, it greatly students' enthusiasm for...
Smartphone has long been considered as one excellent platform for disease screening and diagnosis, especially when combined with microfluidic paper-based analytical devices (μPADs) that feature low cost, ease of use, pump-free operations. In this paper, we report a deep learning-assisted smartphone ultra-accurate testing colorimetric enzyme-linked immunosorbent assay (c-ELISA). Different from existing smartphone-based μPAD platforms, whose sensing reliability is suffered uncontrolled ambient...