张鹏飞, 尉东峰, 刘亚令, 等. 枣与酸枣的SSR遗传多样性研究[J]. 华北农学报, 2015, 30(2): 150-155.
CHOI S H, AHN J B, KIM H J, et al. Changes in Free Amino Acid, Protein, and Flavonoid Content in Jujube (Ziziphus Jujube) Fruit During Eight Stages of Growth and Antioxidative and Cancer Cell Inhibitory Effects by Extracts[J]. Journal of Agricultural and Food Chemistry, 2012, 60(41): 10245-10255. doi: 10.1021/jf302848u
GOYAL R, SHARMA P L, SINGH M. Possible Attenuation of Nitric Oxide Expression in Anti-Inflammatory Effect of Ziziphus Jujuba in Rat[J]. Journal of Natural Medicines, 2011, 65(3-4): 514-518. doi: 10.1007/s11418-011-0531-0
王德, 熊仁次, 吴翠云, 等. 枣品种选育的研究进展[J]. 塔里木大学学报, 2016, 28(3): 109-118. doi: 10.3969/j.issn.1009-0568.2016.03.019
JI X L, HOU C Y, GAO Y G, et al. Metagenomic Analysis of Gut Microbiota Modulatory Effects of Jujube (Ziziphus Jujuba Mill.) Polysaccharides in a Colorectal Cancer Mouse Model[J]. Food & Function, 2020, 11(1): 163-173.
李洁, 姚宝花, 宋宇琴, 等. 枣不同品种和果实不同部位糖积累及相关酶活性[J]. 林业科学, 2017, 53(12): 30-40. doi: 10.11707/j.1001-7488.20171204
王蓉蓉, 丁胜华, 胡小松, 等. 不同品种枣果活性成分及抗氧化特性比较[J]. 中国食品学报, 2017, 17(9): 271-277.
张瑜, 程卫东. GC-MS分析使用不同提取工艺获得的沙枣花挥发性成分[J]. 现代食品科技, 2018, 34(7): 241-250.
丁嘉文, 陈易彤, 谢晓, 等. 四种不同方法提取沙枣花挥发物的成分分析[J]. 植物科学学报, 2015, 33(1): 116-125.
LIU J R, YE Y L, LIN T Y, et al. Effect of Floral Sources on the Antioxidant, Antimicrobial, and Anti-Inflammatory Activities of Honeys in Taiwan[J]. Food Chemistry, 2013, 139(1-4): 938-943. doi: 10.1016/j.foodchem.2013.02.015
王萌, 杜冰, 曹炜. 枣花蜜和荞麦蜜中葡萄糖氧化酶的活性及热稳定性研究[J]. 食品工业科技, 2015, 36(9): 83-86.
CHENG N, ZHAO H A, CHEN SN, et al. Jujube Honey Induces Apoptosis in Human Hepatocellular Carcinoma HepG2 Cell via DNA Damage, P53 Expression, and Caspase Activation[J]. Journal of Food Biochemistry, 2019, 43(11): e12998-1- e12998-13.
郭珍, 阎娥, 戚小姣. 正交试验法优选沙枣花精油提取条件[J]. 中国调味品, 2015, 40(10): 34-37. doi: 10.3969/j.issn.1000-9973.2015.10.009
CHENG N, DU B, WANG Y, et al. Antioxidant Properties of Jujube Honey and Its Protective Effects Against Chronic Alcohol-Induced Liver Damage in Mice[J]. Food& Function, 2014, 5(5): 900-908.
吕虹霞. 沙枣花及沙枣叶挥发性成分的对比研究[J]. 粮食与油脂, 2018, 31(9): 73-76.
ZHANG Y, WANG Y X, ZHAO H A, et al. Characterization of Novel Protein Component as Marker for Floral Origin of Jujube (Ziziphus Jujuba Mill.) Honey[J]. Journal of Agricultural and Food Chemistry, 2019, 67(44): 12255-12263. doi: 10.1021/acs.jafc.9b05190
丁胜华, 王蓉蓉, 吴继红, 等. 枣果实中生物活性成分与生物活性的研究进展[J]. 现代食品科技, 2016, 32(5): 332-348, 321.
堵锡华. 用新的路径定位指数和神经网络研究多溴联苯醚理化性质[J]. 化工学报, 2014, 65(4): 1169-1178. doi: 10.3969/j.issn.0438-1157.2014.04.003
MENSAH R A, JIANG L, ASANTE-OKYERE S, et al. Comparative Evaluation of the Predictability of Neural Network Methods on the Flammability Characteristics of Extruded Polystyrene from Microscale Combustion Calorimetry[J]. Journal of Thermal Analysis and Calorimetry, 2019, 138(5): 3055-3064. doi: 10.1007/s10973-019-08335-0
MAHER G, WILSON N, MARSDEN A. Accelerating Cardiovascular Model Building with Convolutional Neural Networks[J]. Medical & Biological Engineering & Computing, 2019, 57(10): 2319-2335. doi: 10.1007/s11517-019-02029-3
AHMADZADEH E, AHMADZADEH E, JAFERZADEH K, et al. Automated Single Cardiomyocyte Characterization by Nucleus Extraction from Dynamic Holographic Images Using a Fully Convolutional Neural Network[J]. Biomedical Optics Express, 2020, 11(3): 1501-1516. doi: 10.1364/BOE.385218
单金卉, 陈季旺, 刘言, 等. 基于人工神经网络模型预测油炸外裹糊鱼块的丙烯酰胺含量[J]. 食品科学, 2019, 40(16): 249-255.
石佳超, 罗坤, 樊建人, 等. 基于CMAQ与前馈神经网络的区域大气污染物浓度快速响应模型[J]. 环境科学学报, 2018, 38(11): 4480-4489.
肖金球, 周翔, 潘杨, 等. GA-BP优化TS模糊神经网络水质监测与评价系统预测模型的应用——以太湖为例[J]. 西南大学学报(自然科学版), 2019, 41(12): 110-119.
吴多, 刘来君, 张筱雨, 等. 基于曲率模态曲线变化的桥梁损伤识别[J]. 建筑科学与工程学报, 2018, 35(2): 119-126.
堵锡华, 王超. 饮用水中挥发性有机物色谱保留时间的神经网络研究[J]. 食品科学, 2018, 39(20): 315-319.
DU X H, ZHUANG W C, SHI X Q, et al. Research on Thermodynamic Properties of Polybrominated Diphenylamine by Neural Network[J]. Chinese Journal of Chemical Physics, 2015, 28(1): 59-64.
堵锡华, 王超. 硝基芳烃化合物急性毒性预测的理论研究[J]. 生态环境学报, 2017, 26(7): 1152-1156.
敖常伟, 吕姗, 吴香菊, 等. 枣花及枣花蜜香气成分分析[J]. 食品科学, 2018, 39(20): 182-189.
胡黔楠, 梁逸曾, 王亚丽, 等. 直观队列命名法的基本原理及其在矩阵与拓扑指数计算中的应用[J]. 计算机与应用化学, 2003, 20(4): 386-390.
张婷, 梁逸曾, 赵晨曦, 等. 基于分子结构预测气相色谱程序升温保留指数[J]. 分析化学, 2006, 34(11): 1607-1610.
许禄. 化学计量学: 一些重要方法的原理及应用[M]. 北京: 科学出版社, 2004.
ANDREA T A, KALAYEH H. Applications of Neural Networks in Quantitative Structure-Activity Relationships of Dihydrofolate Reductase Inhibitors[J]. Journal of Medicinal Chemistry, 1991, 34(9): 2824-2836.