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| A composite hydrogel modified silica stationary phase for mixed‑mode liquid chromatography 期刊论文 Journal of Chromatography A, 2023, 卷号: 1707, 期号: 1, 页码: 464300 Authors: Tong Zhang; Shuai Wang; Xiaofeng Lu; Yong Guo; Xiaojing Liang Adobe PDF(4845Kb)  |  Favorite  |  View/Download:17/0  |  Submit date:2023/12/07 |
| Metal-organic framework-based core-shell composites for chromatographic stationary phases 期刊论文 Trends in Analytical Chemistry, 2022, 期号: 149, 页码: 116545 Authors: Tiantian Si; Xiaofeng Lu; Haixia Zhang; Shuai Wang; Xiaojing Liang; Yong Guo Adobe PDF(4958Kb)  |  Favorite  |  View/Download:54/0  |  Submit date:2022/12/05 |
| Preparation of hydrogel nanocomposite functionalized silica microspheres and its application in mixed-mode liquid chromatography 期刊论文 Journal of Chromatography A, 2021, 期号: 1662, 页码: 462745 Authors: Fangbin Fan; Xiaofeng Lu; Xiaojing Liang; Licheng Wang; Yong Guo Adobe PDF(1768Kb)  |  Favorite  |  View/Download:42/0  |  Submit date:2022/12/05 |
| Preparation and applications of cellulose-functionalized chiral stationary phases: A review 期刊论文 Talanta, 2021, 期号: 225, 页码: 121987 Authors: Xiaoping Wang; Hui Li; Kaijun Quan; Liang Zhao; Hongdeng Qiu; Zuguang Li Adobe PDF(4831Kb)  |  Favorite  |  View/Download:84/0  |  Submit date:2020/12/16 |
| Recent advances of 3D graphene-based adsorbents for sample preparation of water pollutants: A review 期刊论文 Chemical Engineering Journal, 2020, 期号: 393, 页码: 124691 Authors: Houmei Liu; Hongdeng Qiu Adobe PDF(4363Kb)  |  Favorite  |  View/Download:161/0  |  Submit date:2020/03/30 |
| EVALUATION OF THE QUALITY OF ANGELICA SINENSIS BY HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY 期刊论文 Analytical Letters, 2014, 卷号: 47, 期号: 18, 页码: 2857-2870 Authors: Wang ZZ(王振忠); Shao SJ(邵士俊); Shao SJ(邵士俊) Adobe PDF(363Kb)  |  Favorite  |  View/Download:109/1  |  Submit date:2015/10/26 Angelica Sinensis High-performance Liquid Chromatography (Hplc) Fingerprint High-performance Liquid Chromatography-diode Array Detector-electrospray Ionization Mass Spectrometry (Hplc-dad-esi-ms) Robust Principal Component Analysis |