Chunxiao Wu

University of Science and Technology Beijing

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Yan Xiang

Zhejiang Wanli University

Shanfu Lu

Beihang University

Haining Wang

Chinese Academy of Sciences

Lin Jing

Soochow University

Jiguang Deng

Beijing University of Technology

Qinglong Tan

Taishan University

Hongxing Dai

Beijing University of Technology

Yun Hau Ng

City University of Hong Kong

Sijie Lv

Qingdao University

John Selberg

University of California, Santa Cruz

Cooperative Institutions

Chinese Academy of Sciences

Beijing University of Technology

Tsinghua University

University of California, Santa Cruz

Beihang University

Ministry of Education of the People's Republic of China

Beijing University of Chemical Technology

Southeast University

Tufts University

University of Chinese Academy of Sciences

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Author response for "Stable Luminescent Diphenylamine Biphenylmethyl Radicals with α-Type D₀→D₁ Transition and Antiferromagnetic Properties"

Shengxiang Gao Chunxiao Wu Ming Zhang Feng Li

Diphenylamine

10.1039/d4sc08026b/v3/response1

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Machine Learning‐Driven Bioelectronics for Closed‐Loop Control of Cells

Advanced Intelligent Systems (2020)

John Selberg Mohammad Jafari Juanita Mathews Manping Jia Pattawong Pansodtee

Bioelectronics In article number 2000140, Michael Levin, Marcella Gomez, Marco Rolandi, and co-workers present bioelectronics coupled with machine learning for intelligent control of cellular function. The authors set and maintain the membrane voltage of human pluripotent stem cells with H+-conducting bioelectronic devices. The H+-devices are actuated in a closed feedback loop and respond to required adjustments to the cell membrane voltage as measured with fluorescent reporters.

Bioelectronics

10.1002/aisy.202070122

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Citations (7)

In situ construction of elemental phosphorus nanorod-modified TiO2 photocatalysts for efficient visible-light-driven H2 generation

Applied Catalysis B Environment and Energy (2021)

Shuang Li Yun Hau Ng Ruixue Zhu Sijie Lv Chunxiao Wu

Nanorod

Visible spectrum

Redistribution

10.1016/j.apcatb.2021.120412

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Citations (45)

A Microfluidic Ion Sensor Array

Small (2020)

Chunxiao Wu John Selberg Brian Nguyen Pattawong Pansodtee Manping Jia

Abstract A balanced concentration of ions is essential for biological processes to occur. For example, [H + ] gradients power adenosine triphosphate synthesis, dynamic changes in [K + ] and [Na + ] create action potentials in neuronal communication, and [Cl − ] contributes to maintaining appropriate cell membrane voltage. Sensing ionic concentration is thus important for monitoring and regulating many biological processes. This work demonstrates an ion‐selective microelectrode array that simultaneously and independently senses [K + ], [Na + ], and [Cl − ] in electrolyte solutions. To obtain ion specificity, the required ion‐selective membranes are patterned using microfluidics. As a proof of concept, the change in ionic concentration is monitored during cell proliferation in a cell culture medium. This microelectrode array can easily be integrated in lab‐on‐a‐chip approaches to physiology and biological research and applications.

Multielectrode array

10.1002/smll.201906436

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Citations (18)

Axle counting sensor system based on FBG for suspended permanent magnet maglev rail transit

Suier Wang Yang Li Zhichao Zhou Chunxiao Wu Sheng Wang

Maglev

Rail transit

Magnetic Levitation

10.1117/12.3056618

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Titanium nitride as an electrocatalyst for V(II)/V(III) redox couples in all-vanadium redox flow batteries

Electrochimica Acta (2015)

Chunmei Yang Haining Wang Shanfu Lu Chunxiao Wu Yiyang Liu

Vanadium nitride

Flow battery

10.1016/j.electacta.2015.09.155

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Citations (67)

Machine Learning‐Driven Bioelectronics for Closed‐Loop Control of Cells

Advanced Intelligent Systems (2020)

John Selberg Mohammad Jafari Juanita Mathews Manping Jia Pattawong Pansodtee

From the simplest unicellular organisms to complex animals, feedback control based on sensing and actuation is a staple of self‐regulation in biological processes and is a key to life itself. Malfunctioning of this control loop can often lead to disease or death. Bioelectronic devices that interface electronics with biological systems can be used for sensing and actuation of biological processes and have potential for novel therapeutic applications. Due to the complexity of biological systems and the challenge of affecting their innate self‐regulation, closing the loop between sensing and actuation with bioelectronics is difficult to achieve. Herein, bioelectronic proton‐conducting devices are integrated with fluorescence sensing using machine learning to provide closed‐loop control of bioelectronic actuation in living cells. Proton‐conducting bioelectronic devices control pH in a microfluidic system that houses pluripotent mammalian stem cells. This pH control affects the membrane voltage ( V mem ) of the cells that is measured using genetically encoded fluorescent V mem reporters. In this fashion, proof‐of‐concept real‐time control of V mem toward a desired set‐point is demonstrated. Given the importance of V mem in cell function, differentiation, and proliferation, this proof‐of‐concept opens up many possibilities in bioelectronic closed‐loop control of cell systems.

Bioelectronics

Proof of concept

10.1002/aisy.202000140

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Citations (32)

Sulfides/3D reduced graphene oxide composite with a large specific surface area for high-performance all-solid-state pseudocapacitors

Applied Surface Science (2019)

Yu Su Chunxiao Wu Yajie Song Yaru Li Ying Guo

Pseudocapacitor

Specific surface area

Nanomaterials

Power density

10.1016/j.apsusc.2019.05.252

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Citations (29)

Nickel-assisted synthesis of elemental crystalline phosphorus photocatalyst for efficient hydrogen evolution

Sustainable materials and technologies (2022)

Chunxiao Wu Yi Dong Yun Hau Ng Yuxi Liu Jiguang Deng

Visible spectrum

10.1016/j.susmat.2022.e00551

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Citations (9)

Biochemicals of acid mine drainage using sulfate-reducing bacteria activity on a column reactor

CRC Press eBooks (2015)

Chao Cai Lai Jiang Chunxiao Wu Fu Zhang Qi

In order to improve environmental conditions of coal mine and enhance the safety factor of downhole operation and the coal mine management level, an intelligent monitoring system of coal mine ventilation based on internet of things technology has been designed to prevent and reduce the occurrence of mine accidents. The system could be operated to analyze and judge the fan operating, the environmental parameters of the mine, and the video status that are collected by the wireless data collection terminal. When the environmental parameter exceeds the set value, the system increases the fan speed, and when the gas concentration exceeds the standard in the mine, the system starts the buzzer to give an alarm, which could gain precious time for operation personnel to evacuate safely.

Acid Mine Drainage

Sulfate-Reducing Bacteria

10.1201/b18511-52

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