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陈瑶
2023-05-10 22:33
  • 陈瑶
  • 陈瑶 - 讲师-湖南工业大学-生命科学与化学学院-个人资料

近期热点

资料介绍

个人简历


民盟盟员,毕业于湖南大学化学化工学院分析化学专业获博士学位,湖南工业大学生命科学与化学学院讲师,硕士生导师。
主持科研项目:
(1)国家自然科学基金,青年项目,21705044、表面增强拉曼光谱结合新型化学计量学模型用于细胞内物质的定量分析、2018年1月至2020年12月、24万元,已结题,主持。
(2)湖南省自然科学基金,青年项目,2018JJ3114、SERS结合新型化学计量学模型用于细胞内物质的定量分析、2018年1月至2020年12月、5万元,已结题,主持。
(3)化学生物传感与计量学国家重点实验室、2017021、圆二色谱结合化学计量学用于蛋白质二级结构的定量分析、2018年4月至2020年3月、2万元,,已结题,主持。
(4)湖南省教育厅科学研究项目、19C0554、新型圆二色光谱定量分析模型用于检测蛋白质的二级结构、2019年9月至2021年8月、1万元,在研,主持。
授权国家发明专利:
(1) 陈增萍, 陈瑶, 田中群. 一种具有普适性的表面增强拉曼光谱定量分析方法. 中国, ZL201510002031.5。(发明专利)
(2) 陈增萍, 陈瑶, 田中群. 一种环境水体样本中镉离子含量的定量分析方法. 中国专利发明, ZL201410439838.0。(发明专利)

研究领域


(1)化学计量学辅助荧光、拉曼、质谱等大型精密仪器精准定量分析研究;
(2)化学计量学与生物传感技术的交叉融合研究;
(3)多种模式识别方法用于中药产地溯源研究。""

近期论文


[1] Zuo Q, Chen Y*, Chen Z P, Yu R Q. A novel ratiometric fluorescent sensing method based on MnO2 nanosheet for sensitive detection of alkaline phosphatase in serum. Talanta, 2020, 209: 120528.
[2] 王颖琦, 陈瑶*, 陈增萍. 波谱形变定量理论结合核壳型颗粒用于生物样本中6-硫鸟嘌呤的检测[J]. 分析化学, 2020, (2): 19.
[3] Yan X M, Wang Y Q, Chen Y*, Chen Z P, Yu R Q. Detection of microRNAs by the combination of Exonuclease-III assisted target recycling amplification and repeated-fishing strategy[J]. Analytica Chimica Acta, 2020, 1131: 1-8.
[4] Li M X, Chen Y*, Chen Z P, Yu R Q. An assumption-free quantitative polymerase chain reaction method with internal standard[J]. Talanta, 2020, 220: 121405.
[5] Zuo Q, Chen Y*, Chen Z P, et al. Quantification of cadmium in rice by surface-enhanced Raman spectroscopy based on ratiometric indicator and conical holed enhancing substrates. Analytical Sciences, 2018, 34(12): 1405-1410.
[6] Zhang X Q, Li S X, Chen Z P, Chen Y, et al. Quantitative SERS analysis based on multiple-internal-standard embedded core-shell nanoparticles and spectral shape deformation quantitative theory. Chemometrics and Intelligent Laboratory Systems, 2018, 177: 47-54.
[7] Liu Q, Chen Z P, Shi C X, Chen Y, et al. Quantitation of cobalt in Chinese tea by surface‐enhanced Raman spectroscopy in combination with the spectral shape deformation quantitative theory. Journal of Raman Spectroscopy, 2019, 50(3), 322-329.
[8] Li S X, Wang Y Q, Chen Y*, et al. Probe technique-based generalized multivariate standard addition strategy for the analysis of fluorescence signals with matrix effects[J]. Chemometrics and Intelligent Laboratory Systems, 2019, 190: 41-47.
[9] Liu Q, Kang P J, Chen Y, et al. Highly specific and sensitive detection of microRNAs by tandem signal amplification based on duplex-specific nuclease and strand displacement[J]. Chemical Communications, 2019, 55(94): 14210-14213.
[10] Zhu Y L, Peng Z B, Chen Y, et al. Quantification of enantiomers by mass spectrometry based on chemical derivatization and spectral shape deformation quantitative theory[J]. Journal of Mass Spectrometry, 2019, 54(3): 250-257.
[11] Yao Chen, Zeng-Ping Chen, Jing Yang, Jing-Wen Jin, Juan Zhang, Ru-Qin Yu. Quantitative fluorescence spectroscopy in turbid media: A practical solution to the problem of scattering and absorption. Analytical Chemistry, 2013, 85(4), 2015-2020.
[12] Yao Chen, Zeng-Ping Chen, Si-Yu Long, Ru-Qin Yu. Generalized ratiometric indictor based surface-enhanced Raman spectroscopy for the detection of Cd2+ in environmental water samples. Analytical Chemistry, 2014, 86(24), 12236-12242.
[13] Yao Chen, Zeng-Ping Chen, Jing-Wen Jin, Ru-Qin Yu. Quantitative determination of ametryn in river water using surface-enhanced Raman spectroscopy coupled with an advanced chemometric model. Chemometrics and Intelligent Laboratory Systems, 2015, 142, 166-171.
[14] Yao Chen, Zeng-Ping Chen, Qi Zuo, Cai-Xia Shi, Ru-Qin Yu. Surface-enhanced Raman spectroscopy based on conical holed enhancing substrates. Analytica Chimica Acta, 2015, 887, 45-50.
[15] Yao Chen, Hai-Long Wu, Jian-Yao Wang, Xiao-Hua Zhang, Yong Li, Shu-Rong Zhang, Ru-Qin Yu. Chemometrics-assisted excitation-emission fluorescence spectroscopy for simultaneous determination of ethoxyquin and tert-butylhydroquinone in biological fluid samples. Science China Chemistry, 2013, 56(5), 664-671.
[16] Jing-Jing Kong, Zeng-Ping Chen, Yao Chen, Xiu-Fang Yan, Ru-Qin Yu. Direct DNA quantification in cell lysates by fluorometric method in combination with an advanced chemometric model. Chemometrics and Intelligent Laboratory Systems, 2016, 151, 9-14.
[17] Yuan-Liang Hu, Zeng-Ping Chen, Yao Chen, Cai-Xia Shi, Ru-Qin Yu. Generalized multiple internal standard method for quantitative liquid chromatography mass spectrometry. Journal of Chromatography A, 2016, 1445, 112-117.
[18] Si-Yu Long, Zeng-Ping Chen, Yao Chen, Ru-Qin Yu. Quantitative detection of captopril in tablet and blood plasma samples by the combination of surface-enhanced Raman spectroscopy with multiplicative effects model. Journal of Raman Spectroscopy, 2015, 46(7), 605-609.
[19] Cai-Xia Shi, Zeng-Ping Chen, Yao Chen, Ru-Qin Yu. Quantitative analysis of hormones in cosmetics by LC-MS/MS combined with an advanced calibration model. Analytical Methods, 2015, 7(16): 6804-6809.
[20] Tian-Hong Xia, Zeng-Ping Chen, Yao Chen, Jing-Wen Jin, Ru-Qin Yu. Improving the quantitative accuracy of surface-enhanced Raman spectroscopy by the combination of microfluidics with a multiplicative effects model. Analytical Methods, 2014, 6(7), 2363-2370.
[21] Mi Song, Zeng-Ping Chen, Yao Chen, Jing-Wen Jin. Multiplicative effects model with internal standard in mobile phase for quantitative liquid chromatography-mass spectrometry. Talanta, 2014, 125(1), 347-351.
[22] Hai-Li Du, Zeng-Ping Chen, Mi Song, Yao Chen, Ru-Qin Yu. Novel calibration model maintenance strategy for solving the signal instability in quantitative liquid chromatography-mass spectrometry. Journal of Chromatography A, 2014, 1338, 44-50.
[23] Jing Song, Zeng-Ping Chen, Jing-Wen Jin, Yao Chen, Ru-Qin Yu. Quantitative surface-enhanced Raman spectroscopy based on the combination of magnetic nanoparticles with an advanced chemometric model. Chemometrics and Intelligent Laboratory Systems, 2014, 135, 31-36.
[24] Jing Yang, Zeng-Ping Chen, Juan Zhang, Jing-Wen Jin, Yao Chen. Quantitative Raman spectrometry: the accurate determination of analytes in solution phase of turbid media. Chemometrics and Intelligent Laboratory Systems, 2013, 126, 6-10.
[25] Xiu-Fang Yan, Zeng-Ping Chen, Jing-Jing Kong, Yuan-Liang Hu, Yao Chen, Ru-Qin Yu. Determination of free Mg2+ in turbid samples with the coexistence of interfering Ca2+ using extended quantitative fluorescence model. Chemometrics and Intelligent Laboratory Systems, 2015, 147, 41-46.
[26] Jian-Yao Wang, Hai-Long Wu, Yao Chen, Min Zhai, Xiang-Dong Qing, Ru-Qin Yu. Quantitative determination of butylated hydroxyanisole and n-propyl gallate in cosmetics using three-dimensional fluorescence coupled with second-order calibration. Talanta, 2013, 116(15), 347-353.
[27] Shu-Rong Zhang, Hai-Long Wu, Yao Chen, Xi-Hua Zhang, Jian-Yao Wang, Yong Li, Ru-Qin Yu. An investigation on hydrogen bonding between 3-methylindole and ethanol using trilinear decomposition of fluorescence excitation-emission matrix. Chemometrics and Intelligent Laboratory Systems, 2013, 121(15), 9-14.
[28] Jian-Yao Wang, Hai-Long Wu, Yao Chen, Yan-Mei Sun, Yong-Jie Yu, Xiao-Hua Zhang, Ru-Qin Yu. Fast analysis of synthetic antioxidants in edible vegetable oil using trilinear component modeling of liquid chromatography-diode array detection data. Journal of Chromatography A, 2012, 1264(16), 63-71.
[29] Yong Li, Hai-Long Wu, Xiang-Dong Qing, Qi Zuo, Yao Chen, Ru-Qin Yu. A novel method to estimate the chemical rank of three-way data for second-order calibration. Chemometrics and Intelligent Laboratory Systems, 2013, 127, 177-184.
[30] Yong Li, Hai-Long Wu, Xiao-Hua Zhang, Yao Chen, Hui-Wen Gu, Qi Zuo, Yan Zhang, Shan-Shan Guo, Xin-Yi Liu, Ru-Qin Yu. Estimating the chemical rank of three-way fluorescence data by vector subspace projection with Monte Carlo simulation. Chemometrics and Intelligent Laboratory Systems, 2014, 136, 15-23.
[31] Yong Li, Hai-Long Wu, Yong-Jie Yu, Shu-Rong Zhang, Yao Chen, De-Zhu Tu, Chong-Chong Nie, Hui Xu, Ru-Qin Yu. A novel method to handle Rayleigh scattering in three-way excitation emission fluorescence data. Analytical Methods, 2012, 4, 3987-3996.
[32] 胡敏, 陈增萍, 陈瑶, 石彩霞, 俞汝勤. 表面增强拉曼光谱结合乘子效应模型对血浆和药片中甲巯咪唑的定量检测. 分析化学, 2015, 5: 759-764
[33] 左奇, 陈瑶, 石彩霞, 陈增萍. 表面增强拉曼散射光谱定量分析技术的研究进展. 分析化学, 2015, 11: 1656-1663

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