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学者姓名：柯星星
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Abstract ：
Convective Polymerase Chain Reaction (cPCR), owing to its enhanced thermal cycling efficiency, holds promise for application in the next generation of mainstream commercial PCR instruments. Despite its potential, existing capillary-based and annular reaction chamber designs encounter limitations in precisely controlling the internal flow field, which poses a significant barrier to the progression of cPCR. To overcome these obstacles, this work innovatively proposes a cPCR chip utilizing a "racetrack-shaped" reaction chamber, along with a reverse design approach tailored to meet diverse reaction requirements. Through modeling and simulation, we accurately obtained the relationship between the design parameters and the average flow velocity of the cPCR chip with a "racetrack-shaped" reaction chamber. By capturing the motion of fluorescent particles using a high-speed camera, we acquired the velocity distribution of the actual flow field. Further, we utilized these relationships to conduct a reverse design. Ultimately, a reaction chamber was designed based on the actual amplification needs of 2019-nCoV and hepatitis B virus, and successful amplification was achieved using a self-developed temperature control platform.
Keyword ：
convective PCR convective PCR flow field control flow field control microfluidic chip microfluidic chip Rayleigh-B & eacute;nard convection Rayleigh-B & eacute;nard convection reverse design reverse design
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| GB/T 7714 | Li, Chenfei , Xie, Yaping , Yong, Haochen et al. A Reverse Design Method for Convective PCR Chips Featuring Precise Control of Steady-State Flow Fields [J]. | CHEMOSENSORS , 2025 , 13 (1) . |
| MLA | Li, Chenfei et al. "A Reverse Design Method for Convective PCR Chips Featuring Precise Control of Steady-State Flow Fields" . | CHEMOSENSORS 13 . 1 (2025) . |
| APA | Li, Chenfei , Xie, Yaping , Yong, Haochen , Zhao, Xin , Ke, Xingxing , Wu, Zhigang . A Reverse Design Method for Convective PCR Chips Featuring Precise Control of Steady-State Flow Fields . | CHEMOSENSORS , 2025 , 13 (1) . |
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Abstract ：
In nature, organisms have evolved diverse grasping mechanisms to perform vital functions such as hunting and self-defence. These time-tested biological structures, including the arms of octopuses and the trunks of elephants, offer valuable inspiration for designing multimodal soft grippers that can tackle diverse tasks in various environments. Similar to their biological counterparts, these grippers must adapt to dynamic working conditions to enhance their performance. This adaptation process involves multiple factors, including grasping mechanisms, structural design, materials, and application scenarios, with biomimetic strategies offering numerous innovative examples. Despite the significant potential of bio-inspired designs, it lacks comprehensive reviews that explore how these strategies can enhance the development of multimodal soft grippers. This review seeks to address this gap by providing a systematic review of how bioinspired approaches contribute to the advancement of multimodal grippers. It focuses on coupling strategies, integration methods, performance improvements, and application scenarios. Finally, the review explores how future biomimetic insights could address current challenges and further improve the functionality of multimodal grippers.
Keyword ：
bio-inspired grippers bio-inspired grippers biomimicry biomimicry multimodal collaboration multimodal collaboration multimodal coupling multimodal coupling soft grippers soft grippers
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| GB/T 7714 | Liang, Minshi , Zhu, Jiaqi , Ke, Xingxing et al. Bio-inspired multimodal soft grippers: a review [J]. | BIOINSPIRATION & BIOMIMETICS , 2025 , 20 (3) . |
| MLA | Liang, Minshi et al. "Bio-inspired multimodal soft grippers: a review" . | BIOINSPIRATION & BIOMIMETICS 20 . 3 (2025) . |
| APA | Liang, Minshi , Zhu, Jiaqi , Ke, Xingxing , Chai, Zhiping , Ding, Han , Wu, Zhigang . Bio-inspired multimodal soft grippers: a review . | BIOINSPIRATION & BIOMIMETICS , 2025 , 20 (3) . |
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Frequent outbreaks of respiratory infectious diseases, driven by diverse pathogens, have long posed significant threats to public health, economic productivity, and societal stability. Respiratory infectious diseases are highly contagious, characterized by short incubation periods, diverse symptoms, multiple transmission routes, susceptibility to mutations, and distinct seasonality, contributing to their propensity for outbreaks. The absence of effective antiviral treatments and the heightened vulnerability of individuals with weakened immune systems make them more susceptible to infection, with severe cases potentially leading to complications or death. This situation becomes particularly concerning during peak seasons, such as influenza outbreaks. Therefore, early detection, diagnosis, and treatment are critical, alongside the prevention of cross-infection, ensuring patient safety, and controlling healthcare costs. To address these challenges, this review aims to identify a comprehensive, rapid, safe, and cost-effective diagnostic approach for respiratory infectious diseases. This approach is framed within the existing hierarchical healthcare system, focusing on establishing diagnostic capabilities at hospitals, community, and home levels to effectively tackle the above issues. In addition to PCR and isothermal amplification, the review also explores emerging molecular diagnostic strategies that may better address the evolving needs of respiratory disease diagnostics. A key focus is the transition from amplification technologies to amplification-free biosensing approaches, with particular attention given to their potential for home-based testing. This shift seeks to overcome the limitations of conventional amplification methods, particularly in decentralized and home diagnostics, offering a promising solution to enhance diagnostic speed and safety during outbreaks. In the future, with the integration of AI technologies into molecular amplification technologies, biosensors, and various application levels, the inclusively economic, rapid, and safe respiratory disease diagnosis solutions will be further optimized, and their accessibility will become more widespread.
Keyword ：
amplification-free biosensing amplification-free biosensing full scene solution full scene solution isothermal amplification isothermal amplification molecular detection of respiratory infectious diseases molecular detection of respiratory infectious diseases polymerase chain reaction polymerase chain reaction tiered diagnosis tiered diagnosis
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| GB/T 7714 | Xie, Yaping , Zong, Zisheng , Jiang, Qin et al. Seeking Solutions for Inclusively Economic, Rapid, and Safe Molecular Detection of Respiratory Infectious Diseases: Comprehensive Review from Polymerase Chain Reaction Techniques to Amplification-Free Biosensing [J]. | MICROMACHINES , 2025 , 16 (4) . |
| MLA | Xie, Yaping et al. "Seeking Solutions for Inclusively Economic, Rapid, and Safe Molecular Detection of Respiratory Infectious Diseases: Comprehensive Review from Polymerase Chain Reaction Techniques to Amplification-Free Biosensing" . | MICROMACHINES 16 . 4 (2025) . |
| APA | Xie, Yaping , Zong, Zisheng , Jiang, Qin , Ke, Xingxing , Wu, Zhigang . Seeking Solutions for Inclusively Economic, Rapid, and Safe Molecular Detection of Respiratory Infectious Diseases: Comprehensive Review from Polymerase Chain Reaction Techniques to Amplification-Free Biosensing . | MICROMACHINES , 2025 , 16 (4) . |
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Multi-target inverse design, which involves designing multiple targets with different optimization objectives, becomes a key focus in mechanical metamaterials (MMs) design. Specifically, many practical applications impose varying requirements for different sections. For instance, the heel of a sole demands to provide support, while the arch should be comfortable, adequately supportive, and lightweight. However, existing approaches, such as topology optimization, typically focus on optimizing MMs for specific objectives, e.g., high strength. Worse, these approaches are often inaccurate and time-consuming, even just for a single target. In this work, based on graded triply periodic minimal surface (TPMS) architectures, a machine-learning-powered approach is proposed for rapid, accurate, and multi-target MM inverse design by employing a six-parallel pipeline network architecture and utilizing deep networks to map structural parameters to mechanical curves. The most suitable results are selected based on the target curves and other performance requirements, which can be derived from the structural parameters. The approach achieves a normalized root-mean-square error (NRMSE) of 2.49% on the test dataset and outputs corresponding design parameters within seconds, simultaneously meeting multiple targets. Finally, such an approach is demonstrated in designing soles suitable for various gait scenarios and foot deformity treatments.
Keyword ：
inverse design inverse design machine learning machine learning mechanical metamaterials mechanical metamaterials multi-target design multi-target design
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| GB/T 7714 | Zong, Zisheng , Chai, Zhiping , Ke, Xingxing et al. Machine-Learning-Powered, Rapid, Accurate, and Multi-Target Mechanical Metamaterials Inverse Design [J]. | SMALL , 2025 , 21 (26) . |
| MLA | Zong, Zisheng et al. "Machine-Learning-Powered, Rapid, Accurate, and Multi-Target Mechanical Metamaterials Inverse Design" . | SMALL 21 . 26 (2025) . |
| APA | Zong, Zisheng , Chai, Zhiping , Ke, Xingxing , Ding, Han , Guo, Chuan Fei , Wu, Zhigang . Machine-Learning-Powered, Rapid, Accurate, and Multi-Target Mechanical Metamaterials Inverse Design . | SMALL , 2025 , 21 (26) . |
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Abstract ：
Distinguished by its exceptional sensitivity and specificity, Polymerase Chain Reaction (PCR) is a pivotal technology for pathogen detection. However, traditional PCR instruments that employ thermoelectric cooling (TEC) are often constrained by cost, efficiency, and performance variability resulting from the fluctuations in ambient temperature. Here, we present a thermal cycler that utilizes electromagnetic induction heating at 50 kHz and anti-freezing water cooling with a velocity of 0.06 m/s to facilitate rapid heating and cooling of the PCR reaction chamber, significantly enhancing heat transfer efficiency. A multi-physics theoretical heat transfer model, developed using the digital twin approach, enables precise temperature control through advanced algorithms. Experimental results reveal average heating and cooling rates of 14.92 degrees C/s and 13.39 degrees C/s, respectively, significantly exceeding those of conventional methods. Compared to commercial PCR instruments, the proposed system further optimizes cost, efficiency, and practicality. Finally, PCR experiments were successfully performed using cDNA (Hepatitis B virus) at various concentrations.
Keyword ：
anti-freezing water cooling anti-freezing water cooling magnetic induction heating magnetic induction heating polymerase chain reaction polymerase chain reaction rapid heat transfer rapid heat transfer thermal cycler thermal cycler
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| GB/T 7714 | Xie, Yaping , Jiang, Qin , Chang, Chang et al. A Thermal Cycler Based on Magnetic Induction Heating and Anti-Freezing Water Cooling for Rapid PCR [J]. | MICROMACHINES , 2024 , 15 (12) . |
| MLA | Xie, Yaping et al. "A Thermal Cycler Based on Magnetic Induction Heating and Anti-Freezing Water Cooling for Rapid PCR" . | MICROMACHINES 15 . 12 (2024) . |
| APA | Xie, Yaping , Jiang, Qin , Chang, Chang , Zhao, Xin , Yong, Haochen , Ke, Xingxing et al. A Thermal Cycler Based on Magnetic Induction Heating and Anti-Freezing Water Cooling for Rapid PCR . | MICROMACHINES , 2024 , 15 (12) . |
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