Yingchun Luo

Yingchun Luo


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 February 2023 in Nanomaterials
Verified
Journal Article
Open access
PDF file
YZYan Zhu
Yan Zhu
QWQianhui Wei
Qianhui Wei
QJQingxi Jin
Qingxi Jin
GLGangrong Li
Gangrong Li
Qingzhu ZhangQingzhu Zhang
Qingzhu Zhang
YLYingchun Luo
Yingchun Luo
Accurate monitoring of blood glucose levels is crucial for the diagnosis of diabetes patients. In this paper, we proposed a simple “mixed-catalyzer layer” modified silicon nanowire field-effect transistor biosensor that enabled direct detection of glucose with low-charge in high ionic strength solutions. A stable screening system was established to overcome Debye screening effect by forming a porous biopolymer layer with polyethylene glycol (PEG) modified on the surface of SiNW. The experimental results show that when the optimal ratio (APTMS:silane-PEG = 2:1) modified the surface of silicon nanowires, glucose oxidase can detect glucose in the concentration range of 10 nM to 10 mM. The sensitivity of the biosensor is calculated to be 0.47 μAcm−2mM−1, its fast response time not exceeding 8 s, and the detection limit is up to 10 nM. This glucose sensor has the advantages of high sensitivity, strong specificity and fast real-time response. Therefore, it has a potential clinical application prospect in disease diagnosis.

25 July 2022 in Polymers
Verified
Journal Article
Open access
PDF file
XLXueyan Liu
Xueyan Liu
CZChuxing Zhu
Chuxing Zhu
KYKang Yu
Kang Yu
WLWei Li
Wei Li
YLYingchun Luo
Yingchun Luo
HWHao Wang
Hao Wang
This study demonstrates an accurate method for determining the moisture content in flavor microcapsules using headspace gas chromatography. The method involves measuring the gas chromatography signals of water from vapor in a headspace vial containing flavor microcapsules at a temperature of 125 °C. The measurements were recorded over four headspace extractions, from which the moisture content in the microcapsule samples was extrapolated via simple vapor-phase calibration. The results revealed that the proposed method demonstrated good precision (a relative standard deviation of <3.11%) and accuracy. The proposed method is accurate, highly sensitive, automated, and suitable for testing the moisture content of flavor microcapsules and related products.