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Removal of false positive features to generate authentic peak table for high-resolution mass spectrometry-based metabolomics study 期刊论文
ANALYTICA CHIMICA ACTA, 2019, 卷号: 1067, 页码: 79-87
Authors:  Ju, Ran;  Liu, Xinyu;  Zheng, Fujian;  Zhao, Xinjie;  Lu, Xin;  Zeng, Zhongda;  Lin, Xiaohui;  Xu, Guowang
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High-resolution mass spectrometry  Metabolomics  False positive features  Data quality  
A mu PAD for simultaneous monitoring of Cu2+, Fe2+ and free chlorine in drinking water 期刊论文
SENSORS AND ACTUATORS B-CHEMICAL, 2019, 卷号: 293, 页码: 350-356
Authors:  Huangfu, Changxin;  Zhang, Yu;  Jang, Minseok;  Feng, Liang
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mu PAD  Drinking water  Copper ion  Ferrous ion  Free chlorine  
Integration of stable isotope labeling derivatization and magnetic dispersive solid phase extraction for measurement of neurosteroids by in vivo microdialysis and UHPLC-MS/MS 期刊论文
TALANTA, 2019, 卷号: 199, 页码: 97-106
Authors:  Xu, Yanqiu;  Sun, Luping;  Wang, Xin;  Zhu, Shuyun;  You, Jinmao;  Zhao, Xian-En;  Bai, Yu;  Liu, Huwei
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Neurosteroids  Isotope-coded derivatization  Magnetic separation  Triple quadrupole mass spectrometry  In vivo microdialysis technique  Parkinson's disease  
Quantitative determination of bioactive proteins in diphtheria tetanus acellular pertussis (DTaP) vaccine by liquid chromatography tandem mass spectrometry 期刊论文
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2019, 卷号: 169, 页码: 30-40
Authors:  Long, Zhen;  Wei, Chen;  Zhan, Zhaoqi;  Ma, Xiao;  Li, Xiuling;  Li, Yueqi;  Yao, Jinting;  Ji, Feng;  Li, Changkun;  Huang, Taohong
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LC-MS/MS  Filamentous hemagglutinin  Pertactin  Fimbriae  Pertussis toxin  Diphtheria tetanus acellular pertussis vaccine  
Global Quantification of Intact Proteins via Chemical Isotope Labeling and Mass Spectrometry 期刊论文
JOURNAL OF PROTEOME RESEARCH, 2019, 卷号: 18, 期号: 5, 页码: 2185-2194
Authors:  Liu, Zheyi;  Wang, Ruimin;  Liu, Jing;  Sun, Ruixiang;  Wang, Fangjun
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mass spectrometry  chemical isotope labeling  intact protein quantification  pTOP  highest isotopic peak  
One-Step SH2 Superbinder-Based Approach for Sensitive Analysis of Tyrosine Phosphoproteome 期刊论文
JOURNAL OF PROTEOME RESEARCH, 2019, 卷号: 18, 期号: 4, 页码: 1870-1879
Authors:  Yao, Yating;  Wang, Yan;  Wang, Shujuan;  Liu, Xiaoyan;  Liu, Zhen;  Li, Yanan;  Fang, Zheng;  Mao, Jiawei;  Zheng, Yong;  Ye, Mingliang
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phosphoproteomics  SH2 superbinder  protein tyrosine phosphorylation  phosphopeptide enrichment  LC-MS/MS  
A Multiplex Fragment-Ion-Based Method for Accurate Proteome Quantification 期刊论文
ANALYTICAL CHEMISTRY, 2019, 卷号: 91, 期号: 6, 页码: 3921-3928
Authors:  Liu, Jianhui;  Zhou, Yuan;  Shan, Yichu;  Zhao, Baofeng;  Hu, Yechen;  Sui, Zhigang;  Liang, Zhen;  Zhang, Lihua;  Zhang, Yukui
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Dispersive Matrix Solid-Phase Extraction Method Coupled with High Performance Liquid Chromatography-Tandem Mass Spectrometry for Ultrasensitive Quantification of Endogenous Brassinosteroids in Minute Plants and Its Application for Geographical Distribution, Study 期刊论文
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2019, 卷号: 67, 期号: 10, 页码: 3037-3045
Authors:  Li, Yuxuan;  Deng, Ting;  Duan, Chunfeng;  Ni, Lanxiu;  Wang, Nan;  Guan, Yafeng
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dispersive matrix solid-phase extraction  endogenous brassinosteroids  oilseed rape  Arabidopsis thaliana seedlings  geographical distribution  
Quantification of bisphenol A and its selected analogs in serum using pre-column derivatization with high-performance liquid chromatography and tandem mass spectrometry 期刊论文
JOURNAL OF SEPARATION SCIENCE, 2019, 卷号: 42, 期号: 5, 页码: 991-998
Authors:  Tan, Dongqin;  Jin, Jing;  Wang, Longxing;  He, Xiaolin;  Guo, Cuicui;  Dhanjai;  Lu, Xianbo;  Chen, Jiping
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bisphenol  derivatization  high-performance liquid chromatography  serum tandem mass spectrometry  
Rapid discrimination between red and white ginseng based on unique mass-spectrometric features 期刊论文
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2019, 卷号: 164, 页码: 202-210
Authors:  Zhao, Qiang;  Zhao, Nan;  Ye, Xueting;  He, Meixi;  Yang, Yiren;  Gao, Huiyuan;  Zhang, Xiaozhe
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UHPLC-Q-TOF-MS  Red ginseng  Robust biomarker  Nitrogen-containing compound  Support vector machine  Artificial neural network