Kun Ge

Dr. Kun Ge


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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11 September 2023 in Coordination Chemistry Reviews
Verified
Journal Article
Closed access
Ying GuYing Gu
Ying Gu
YLYonghui Li
Yonghui Li
HQHuimin Qiu
Huimin Qiu
YYYukun Yang
Yukun Yang
QWQiyue Wu
Qiyue Wu
YSYizhong Shen
Yizhong Shen

30 October 2022 in Biosensors
Verified
Journal Article
Open access
PDF file
KGKun Ge
Kun Ge
Yuling HuYuling Hu
Yuling Hu
GLGongke Li
Gongke Li
Surface-enhanced Raman spectroscopy (SERS) is a powerful vibrational spectroscopy technique with distinguished features of non-destructivity, ultra-sensitivity, rapidity, and fingerprint characteristics for analysis and sensors. The SERS signals are mainly dependent on the engineering of high-quality substrates. Recently, solid SERS substrates with diverse forms have been attracting increasing attention due to their promising features, including dense hot spot, high stability, controllable morphology, and convenient portability. Here, we comprehensively review the recent advances made in the field of solid SERS substrates, including their common fabrication methods, basic categories, main features, and representative applications, respectively. Firstly, the main categories of solid SERS substrates, mainly including membrane substrate, self-assembled substrate, chip substrate, magnetic solid substrate, and other solid substrate, are introduced in detail, as well as corresponding construction strategies and main features. Secondly, the typical applications of solid SERS substrates in bio-analysis, food safety analysis, environment analysis, and other analyses are briefly reviewed. Finally, the challenges and perspectives of solid SERS substrates, including analytical performance improvement and largescale production level enhancement, are proposed.

4 January 2024 in Talanta
Verified
Journal Article
Closed access
QWQiyue Wu
Qiyue Wu
MNMeirong Niu
Meirong Niu
DRDabing Ren
Dabing Ren
LYLunzhao Yi
Lunzhao Yi
KGKun Ge
Kun Ge
Ying GuYing Gu
Ying Gu

18 September 2024 in The Analyst
Verified
Journal Article
Closed access
PDF file
Ying GuYing Gu
Ying Gu
XPXujun Pu
Xujun Pu
JCJinxin Chen
Jinxin Chen
LYLunzhao Yi
Lunzhao Yi
JBJunlong Bi
Junlong Bi
KGKun Ge
Kun Ge
The recent advances of MOF-based SERS substrates in quantitative analysis of food contaminants are reviewed including properties, main roles, categories, structures, preparation methods, and food-safety applications.

21 July 2018 in Sensors
Verified
Journal Article
Open access
PDF file
KGKun Ge
Kun Ge
JLJing-Min Liu
Jing-Min Liu
GFGuozhen Fang
Guozhen Fang
PWPeihua Wang
Peihua Wang
Dong-Dong ZhangDong-Dong Zhang
Dong-Dong Zhang
SWShuo Wang
Shuo Wang
A colorimetric probe for determination of As(III) ions in aqueous solutions on basis of localized surface plasmon resonance (LSPR) was synthesized. The dithiothreitol molecules with two end thiols covalently combined with Au Nanorods (AuNRs) with an aspect ratio of 2.9 by Au-S bond to form dithiothreitol coated Au Nanorods (DTT-AuNRs), acting as colorimetric probe for the determination of As(III) ions. With the adding of As(III) ions, the AuNRs will be aggregated and leading the longitudinal SPR absorption band of DTT-AuNRs decrease due to the As(III) ions can bind with three DTT molecules through an As-S linkage. The potential factors affect the response of DTT-AuNRs to As(III) ions including the concentration of DTT, pH values of DTT-AuNRs, reaction time and NaCl concentration were optimized. Under optimum assay conditions, the DTT-AuNRs colorimetric probe has high sensitivity towards As(III) ions with low detection limit of 38 nM by rules of 3σ/k and excellent linear range of 0.13–10.01 μM. The developed colorimetric probe shows high selectivity for As(III) ions sensing and has applied to determine of As(III) in environmental water samples with quantitative spike-recoveries range from 95.2% to 100.4% with low relative standard deviation of less than 4.4% (n = 3).