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浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 Phytochemical profiles, nutritional constituents and antioxidant activity of black wolfberry (Lycium ruthenicum Murr.) 期刊论文 INDUSTRIAL CROPS AND PRODUCTS, 2020, 卷号: 154 作者:  Liu, Zenggen;  Liu, Baolong;  Wen, Huaixiu;  Tao, Yanduo;  Shao, Yun 收藏  |  浏览/下载：22/0  |  提交时间：2020/11/25 Lycium ruthenicum  Nutritional profile  Phenolics  Antioxidant activity   Preparation of High Specific Surface Area Activated Carbon from Black Wolfberry Branches as an Efficient Electrode Material for Supercapacitors 期刊论文 INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2019, 卷号: 14, 期号: 8, 页码: 8216-8227 作者:  Shi, Gaofeng;  Zhang, Qi;  Liu, Chao;  Wang, Guoying;  Dong, Yucan 收藏  |  浏览/下载：8/0  |  提交时间：2019/11/15 Black wolfberry branches  supercapacitors  electrode materials  electrochemical performance   Graphene oxide reinforced ionic liquid-functionalized adsorbent for solid-phase extraction of phenolic acids 期刊论文 Journal of Chromatography B, 2018, 卷号: 1072, 期号: 0, 页码: 123-129 作者:  Hou XD(侯秀丹);  Lu XF(卢晓峰);  Tang S(汤胜);  Wang LC(王立成);  Guo Y(郭勇) 收藏  |  浏览/下载：27/0  |  提交时间：2018/06/20 Adsorption Energy  Graphene Oxide  Ionic Liquid  Phenolic Acid  Solid-phase Extraction   Fatty Acid and Phytosterol Composition, and Biological Activities of Lycium ruthenicum Murr. Seed Oil 期刊论文 JOURNAL OF FOOD SCIENCE, 2018, 卷号: 83, 期号: 10 作者:  Zhao, Xiaohui;  Dong, Banmacailang;  Li, Pi;  Wei, Wei;  Dang, Jun 收藏  |  浏览/下载：78/0  |  提交时间：2019/11/26 antioxidant activity  enzyme inhibition activity  fatty acids  phytosterols  seed oil   Near-infrared spectroscopy coupled chemometric algorithms for prediction of antioxidant activity of black goji berries (Lycium ruthenicum Murr.) 期刊论文 JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2018, 卷号: 12, 期号: 4, 页码: 2366-2376 作者:  Arslan, Muhammad[1];  Zou Xiaobo[2];  Tahir, Haroon Elrasheid[3];  Xuetao, Hu[4];  Rakha, Allah[5] 收藏  |  浏览/下载：17/0  |  提交时间：2019/12/24 NIR spectroscopy  Black wolfberry  Antioxidant assays  Chemometric algorithms  Variable selection   Near infrared spectroscopy coupled with chemometric algorithms for predicting chemical components in black goji berries (Lycium ruthenicum Murr.) 期刊论文 JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2018, 卷号: 26, 期号: 5, 页码: 275-286 作者:  Arslan, Muhammad[1];  Zou Xiaobo[2];  Hu Xuetao[3];  Tahir, Haroon Elrasheid[4];  Shi, Jiyong[5] 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/24 Near infrared spectroscopy  black wolfberry  chemometric algorithms  variable selection  preprocessing