Junping Wen
6 Papers
Junping Wen is an academic researcher. The author has contributed to research in topics: Pesticide residue & Detection limit. The author has co-authored 1 publications.
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Papers
Mesophilic Argonaute-Based Single Polystyrene Sphere Aptamer Fluorescence Platform for the Multiplexed and Ultrasensitive Detection of Non-Nucleic Acid Targets.
Yingyin Lu,Junping Wen,Chengming Wang,Mengjiao Wang,Feng Jiang,Lin Miao,Minggao Xu,Yingjun Li,Xiaohua Chen,Yiping Chen +9 more
TL;DR: Mesophilic Argonaute-Based Single Polystyrene Sphere Aptamer Fluorescence Platform for the Multiplexed and Ultrasensitive Detection of Non-Nucleic Acid Targets enables the rapid and accurate identification of multiple non-nucleic acid targets in clinical or food samples at room temperature.
9
Magnetic Relaxation Switching Immunosensors via a Click Chemistry-Mediated Controllable Aggregation Strategy for Direct Detection of Chlorpyrifos.
Weiqi Zhao,Chenxi Huang,Binjie Zhao,Junping Wen,Yingyin Lu,Nan Li,Qifu He,Junwang Bao,Xiuwen Zhang,Zhixiong Pi,Yongzhen Dong,Yiping Chen +11 more
TL;DR: In this paper , a novel magnetic relaxation switching detection platform was developed for target-mediated direct and sensitive detection of chlorpyrifos (CPF) with a controllable aggregation strategy based on a bioorthogonal ligation reaction between tetrazine (Tz) and trans-cyclooctene (TCO) ligands.
7
A digital platform for One-Pot signal enhanced foodborne pathogen detection based on mesophilic argonaute-driven polydisperse microdroplet reactors and machine learning
Junping Wen,Minjie Han,Niu Feng,Guoxun Chen,Feng Jiang,Jianhan Lin,Yiping Chen +6 more
TL;DR: Researchers developed a digital platform, DRAGON, using mesophilic Argonaute (Ago) and machine learning for one-pot, low-temperature detection of foodborne pathogens with high sensitivity (1 CFU/mL) and efficiency (<45 min).
6
Clostridium butyricum Argonaute-powered programmable platform using a magnetic nanoparticle tetrahedral DNA encoding system for the ultrasensitive and multiplexed detection of non-nucleic acid targets
Letian Li,Mengjiao Wang,Junping Wen,Feng Hong,Li Ren,Feng Jiang,Yiping Chen +6 more
TL;DR: Researchers developed a programmable platform using Clostridium butyricum Argonaute and magnetic nanoparticles to detect non-nucleic acid targets at 37°C, achieving multiplexed detection of mycotoxins and pathogens in food and clinical samples with high sensitivity.
4
Unsupervised Learning-Assisted Acoustic-Driven Nano-Lens Holography for the Ultrasensitive and Amplification-Free Detection of Viable Bacteria.
TL;DR: Researchers developed an unsupervised learning-assisted nano-lens holography platform for ultrasensitive, amplification-free detection of viable bacteria, achieving 99 nm sensitivity and 38 CFU/mL-1 detection limit, with potential applications in food safety and clinical diagnosis.