Linxi Dong

Prof. Linxi Dong

Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, Hangzhou Dianzi University, Hangzhou 310018, China

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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11 February 2020 in IEEE Sensors Journal
Verified
Journal Article
Closed access
HGHong-Yi Gan
Hong-Yi Gan
Wen-Sheng ZhaoWen-Sheng Zhao
Wen-Sheng Zhao
QLQi Liu
Qi Liu
DWDa-Wei Wang
Da-Wei Wang
Linxi DongLinxi Dong
Linxi Dong
WYWen-Yan Yin
Wen-Yan Yin

17 April 2022 in Advanced Science
Verified
Journal Article
Open access
JCJingu Chi
Jingu Chi
CLChaoran Liu
Chaoran Liu
LCLufeng Che
Lufeng Che
DLDujuan Li
Dujuan Li
KFKai Fan
Kai Fan
Zhong Lin WangZhong Lin Wang
Zhong Lin Wang
Harvesting energy from natural water evaporation has been proposed as a promising alternative to supply power for self‐powered and low‐power devices and systems, owing to its spontaneous, ubiquitous, and sustainability. Herein, an approach is presented for harvesting water‐evaporation‐induced electricity based on liquid–solid triboelectric nanogenerators (LS‐TENGs), which has various advantages of easy preparation, substrate needless, and robustness. This developed harvester with porous Al2O3 ceramic sheet can generate a continuous and stable direct current of ≈0.3 µA and voltage of ≈0.7 V by optimizing the sheet physical dimensions and ambient parameters such as relative humidity, temperature, wind velocity, and ion concentration. The output power also can be improved significantly by series or parallel connection the harvesters, which has superior electrical compatibility and environmental suitability. The development of the water‐evaporation‐induced electricity harvesting shows many application prospects including power supply for digital calculator and charging capacitor. This research provides an in‐depth experimental study on water‐evaporation‐induced electricity harvesting based on LS‐TENGs and an efficient approach to supply electricity for low‐power devices.

30 July 2023 in Sensors
Verified
Journal Article
Open access
PDF file
HLHuiping Li
Huiping Li
DLDujuan Li
Dujuan Li
HCHuiyi Chen
Huiyi Chen
XYXiaojie Yue
Xiaojie Yue
KFKai Fan
Kai Fan
GWGaofeng Wang
Gaofeng Wang
As a new type of one-dimensional semiconductor nanometer material, silicon nanowires (SiNWs) possess good application prospects in the field of biomedical sensing. SiNWs have excellent electronic properties for improving the detection sensitivity of biosensors. The combination of SiNWs and field effect transistors (FETs) formed one special biosensor with high sensitivity and target selectivity in real-time and label-free. Recently, SiNW-FETs have received more attention in fields of biomedical detection. Here, we give a critical review of the progress of SiNW-FETs, in particular, about the reversible surface modification methods. Moreover, we summarized the applications of SiNW-FETs in DNA, protein, and microbial detection. We also discuss the related working principle and technical approaches. Our review provides an extensive discussion for studying the challenges in the future development of SiNW-FETs.

13 December 2018 in Sensors
Verified
Journal Article
Open access
PDF file
DWDezhi Wu
Dezhi Wu
QPQianqian Peng
Qianqian Peng
SWShan Wu
Shan Wu
GWGuangshun Wang
Guangshun Wang
LDLei Deng
Lei Deng
LLLiwei Lin
Liwei Lin
Ammonia gas sensors are very essential in many industries and everyday life. However, their complicated fabrication process, severe environmental fabrication requirements and desorption of residual ammonia molecules result in high cost and hinder their market acceptance. Here, laser direct writing is used to fabricate three parallel porous 3D graphene lines on a polyimide (PI) tape to simply construct an ammonia gas sensor. The middle one works as an ammonia sensing element and the other two on both sides work as heaters to improve the desorption performance of the sensing element to ammonia gas molecules. The graphene lines were characterized by scanning electron microscopy and Raman spectroscopy. The response and recovery time of the sensor without heating are 214 s and 222 s with a sensitivity of 0.087% ppm−1 for sensing 75 ppm ammonia gas, respectively. The experimental results prove that under the optimized heating temperature of about 70 °C the heaters successfully help implement complete desorption of residual NH3 showing a good sensitivity and cyclic stability.

9 January 2019 in IEEE Transactions on Industrial Informatics
Verified
Journal Article
Closed access
Linxi DongLinxi Dong
Linxi Dong
ZQZhiyuan Qiao
Zhiyuan Qiao
HWHaonan Wang
Haonan Wang
WYWeihuang Yang
Weihuang Yang
Wen-Sheng ZhaoWen-Sheng Zhao
Wen-Sheng Zhao
HYHaixia Yan
Haixia Yan

25 February 2022 in Life
Verified
Journal Article
Open access
PDF file
RHRui Hong
Rui Hong
HSHongyu Sun
Hongyu Sun
DLDujuan Li
Dujuan Li
WYWeihuang Yang
Weihuang Yang
KFKai Fan
Kai Fan
GWGaofeng Wang
Gaofeng Wang
Breast cancer has the highest cancer incidence rate in women. Early screening of breast cancer can effectively improve the treatment effect of patients. However, the main diagnostic techniques available for the detection of breast cancer require the corresponding equipment, professional practitioners, and expert analysis, and the detection cost is high. Tumor markers are a kind of active substance that can indicate the existence and growth of the tumor. The detection of tumor markers can effectively assist the diagnosis and treatment of breast cancer. The conventional detection methods of tumor markers have some shortcomings, such as insufficient sensitivity, expensive equipment, and complicated operations. Compared with these methods, biosensors have the advantages of high sensitivity, simple operation, low equipment cost, and can quantitatively detect all kinds of tumor markers. This review summarizes the biosensors (2013–2021) for the detection of breast cancer biomarkers. Firstly, the various reported tumor markers of breast cancer are introduced. Then, the development of biosensors designed for the sensitive, stable, and selective recognition of breast cancer biomarkers was systematically discussed, with special attention to the main clinical biomarkers, such as human epidermal growth factor receptor-2 (HER2) and estrogen receptor (ER). Finally, the opportunities and challenges of developing efficient biosensors in breast cancer diagnosis and treatment are discussed.