Scientia Agricultura Sinica ›› 2024, Vol. 57 ›› Issue (3): 584-596.doi: 10.3864/j.issn.0578-1752.2024.03.012
• FOOD SCIENCE AND ENGINEERING • Previous Articles Next Articles
SU AnXiang1(), HE AnQi2, MA GaoXing1, ZHAO LiYan2, YANG WenJian1, HU QiuHui1(
)
[1] |
doi: 10.1016/j.foodhyd.2020.106546 |
[2] |
doi: 10.1016/j.foodres.2022.111496 |
[3] |
doi: 10.1080/10408398.2021.1878103 |
[4] |
卢士军, 李泰, 孙君茂, 徐泽群, 戚俊, 刘鹏, 黄家章. 香菇、杏鲍菇和金针菇的氨基酸组成与蛋白质含量评价. 中国食用菌, 2022, 41(1): 45-51.
|
|
|
[5] |
doi: 10.1016/j.phrs.2021.105979 |
[6] |
doi: 10.1016/j.ijbiomac.2019.10.144 |
[7] |
doi: S0308-8146(19)30413-3 pmid: 30857696 |
[8] |
doi: 10.1016/j.lwt.2017.08.054 |
[9] |
黄梦莎. 基于糙米凝胶的挤压式三维打印研究[D]. 无锡: 江南大学, 2019.
|
|
|
[10] |
doi: 10.1016/j.jfoodeng.2017.02.029 |
[11] |
杨帆. 典型植物类重组食品挤压式三维打印成型效果及稳定性研究[D]. 无锡: 江南大学, 2018.
|
|
|
[12] |
向晨曦, 李钰金, 高瑞昌, 白帆, 汪金林, 赵元晖. 打印参数对未漂洗鲟鱼糜凝胶3D打印成型效果的影响. 食品工业科技, 2022, 43(2): 1-8.
|
|
|
[13] |
doi: 10.1016/j.cemconres.2022.106761 |
[14] |
doi: 10.1016/j.scitotenv.2019.134308 |
[15] |
张斌, 孙兰萍, 施颖, 屠康. 基于人工神经网络法优化河蚌多糖超高压提取工艺. 食品与机械, 2016, 32(11): 148-153.
|
|
|
[16] |
邹立飞, 郑鹏. 响应面法、BP神经网络优化薏仁米酒产氨基酸态氮. 食品研究与开发, 2021, 42(9): 121-130.
|
|
|
[17] |
doi: 10.1016/j.cie.2022.107964 |
[18] |
doi: 10.1016/j.foodhyd.2021.107173 |
[19] |
doi: 10.1016/j.jfoodeng.2017.04.017 |
[20] |
李晓桐. FDM式3D打印机控制系统设计及工艺参数优化[D]. 哈尔滨: 哈尔滨理工大学, 2021.
|
|
|
[21] |
岳阳, 封张萍, 王梦婷, 朱艳云, 陈健初, 叶兴乾. 基于BP神经网络和遗传算法的大米抗氧化肽酶解工艺优化. 食品工业, 2021, 42(8): 83-88.
|
|
|
[22] |
谭永兰, 梁锐, 丁东源, 李晓君, 渠志灿, 李海波. 响应面法优化黑果腺肋花楸残渣花色苷提取工艺. 食品科技, 2020, 45(5): 246-253.
|
|
|
[23] |
王晓彤, 古碧, 黄丽婕, 陈杰, 周雷, 覃杨华, 郑莹莹, 刘鑫. 响应面法优化制备PLA/木薯厌氧渣复合材料. 工程塑料应用, 2017, 45(2): 51-55.
|
|
|
[24] |
程成鹏, 贺稚非, 唐春, 刘姝韵, 肖旭, 李洪军. 酶-碱联合工艺改善猪大肠嫩度和保水性的工艺优化. 食品与发酵工业, 2022, 48(16): 87-94.
|
|
|
[25] |
姬云云, 田洪磊, 詹萍, 未志胜, 王鹏, 张芳. BP神经网络结合遗传算法优化羊肉汤中香辛料的添加量. 中国食品学报, 2021, 21(3): 128-137.
|
|
|
[26] |
宋建忠, 陈盈盈, 杨婧, 李杰, 陈章浩, 常军民. 人工神经网络-遗传算法优化刺糖低聚糖提取工艺的研究. 中国食品添加剂, 2022, 33(6): 1-7.
|
|
|
[27] |
金立明, 赵子龙, 焦熙栋, 闫博文, 范大明, 黄建联, 周文果, 赵建新, 张灏. 不同打印条件的鱼糜3D打印成型效果分析. 现代食品科技, 2020, 36(5): 214-222.
|
|
|
[28] |
doi: 10.1016/j.ifset.2016.10.001 |
[29] |
丁易人. 基于挤出成型的食材3D打印工艺研究[D]. 杭州: 浙江大学, 2017.
|
|
|
[30] |
张志同, 魏正英, 任传奇, 付丽倩. 糊状食材3D打印工艺参数对成形形貌的影响研究. 机械设计与制造, 2017(S1): 74-76, 80.
|
|
|
[31] |
|
[32] |
doi: S0378-5173(18)30203-5 pmid: 29605694 |
[33] |
|
[34] |
doi: 10.3390/foods9070907 |
[35] |
|
[36] |
赵峰, 姜胜兵. 基于优化的GA-BP及其在葡萄酒质量预测的应用. 哈尔滨商业大学学报(自然科学版), 2021, 37(3): 307-313.
|
|
[1] | JIANG Wen, LIANG WenXin, PEI Fei, SU AnXiang, MA GaoXing, FANG Donglu, HU QiuHui, MA Ning. Effect of Pleurotus eryngii Powder on Quality Characteristics of Extruded Rice [J]. Scientia Agricultura Sinica, 2024, 57(4): 779-796. |
[2] | QI Xin, WANG Yang, HUANG YuFang, YE YouLiang, GUO YuLong, ZHAO YaNan. Nitrogen Nutrition Diagnosis Method Based on Mobile Phone Image of Summer Maize Canopy [J]. Scientia Agricultura Sinica, 2024, 57(20): 4094-4106. |
[3] | XU Qian, WANG Han, MA Sai, HU QiuHui, MA Ning, SU AnXiang, LI Chen, MA GaoXing. Inhibition and Interaction of Pleurotus eryngii Polysaccharide and Its Digestion Products on Starch Digestive Enzymes [J]. Scientia Agricultura Sinica, 2023, 56(2): 357-367. |
[4] | WU Jun,GUO DaQian,LI Guo,GUO Xi,ZHONG Liang,ZHU Qing,GUO JiaXin,YE YingCong. Prediction of Soil Organic Carbon Content in Jiangxi Province by Vis-NIR Spectroscopy Based on the CARS-BPNN Model [J]. Scientia Agricultura Sinica, 2022, 55(19): 3738-3750. |
[5] | MA YuYang,GUAN HaiXiang,YANG HaoXuan,SHAO Shuai,SHAO YiQun,LIU HuanJun. A New Method to Improve the Accuracy of Digital Elevation Model in Northeast China by Using Terrain, Soil and Crop Information [J]. Scientia Agricultura Sinica, 2021, 54(8): 1715-1727. |
[6] | SHAO ZeZhong,YAO Qing,TANG Jian,LI HanQiong,YANG BaoJun,LÜ Jun,CHEN Yi. Research and Development of the Intelligent Identification System of Agricultural Pests for Mobile Terminals [J]. Scientia Agricultura Sinica, 2020, 53(16): 3257-3268. |
[7] | ZHANG Zhuo,LONG HuiLing,WANG ChongChang,YANG GuiJun. Comparison of Hyperspectral Remote Sensing Estimation Models Based on Photosynthetic Characteristics of Winter Wheat Leaves [J]. Scientia Agricultura Sinica, 2019, 52(4): 616-628. |
[8] | DING YiBo,XU JiaTun,LI Liang,CAI HuanJie,SUN YaNan. Analysis of Drought Characteristics and Its Trend Change in Shaanxi Province Based on SPEI and MI [J]. Scientia Agricultura Sinica, 2019, 52(23): 4296-4308. |
[9] | ZHANG Biao,LIU Xuan,BI JinFeng,WU XinYe,JIN Xin,LI Xuan,LI Xiao. Suitability Evaluation of Apple for Chips-Processing Based on BP Artificial Neural Network [J]. Scientia Agricultura Sinica, 2019, 52(1): 129-142. |
[10] | ZHANG Fang,WEI ZhiSheng,WANG Peng,LI KaiXuan,ZHAN Ping,TIAN HongLei. Using Neural Network Coupled Genetic Algorithm to Optimize the SPME Conditions of Volatile Compounds in Korla Pear [J]. Scientia Agricultura Sinica, 2018, 51(23): 4535-4547. |
[11] | DU Bin, HU XiaoTao, WANG WenE, MA LiHua, ZHOU ShiWei. Stem Flow Influencing Factors Sensitivity Analysis and Stem Flow Model Applicability in Filling Stage of Alternate Furrow Irrigated Maize [J]. Scientia Agricultura Sinica, 2018, 51(2): 233-245. |
[12] | LIU QingFei, ZHANG HongLi, WANG YanLing. Real-Time Pixel-Wise Classification of Agricultural Images Based on Depth-Wise Separable Convolution [J]. Scientia Agricultura Sinica, 2018, 51(19): 3673-3682. |
[13] | ZHU YaXing, YU Lei, HONG YongSheng, ZHANG Tao, ZHU Qiang, LI SiDi, GUO Li, LIU JiaSheng. Hyperspectral Features and Wavelength Variables Selection Methods of Soil Organic Matter [J]. Scientia Agricultura Sinica, 2017, 50(22): 4325-4337. |
[14] | LIAO Qiu-hong, HE Shao-lan, XIE Rang-jin, QIAN Chun, HU De-yu, Lü Qiang1,YI Shi-lai, ZHENG Yong-qiang, DENG Lie. Study on Producing Area Classification of Newhall Navel Orange Based on the Near Infrared Spectroscopy [J]. Scientia Agricultura Sinica, 2015, 48(20): 4111-4119. |
[15] | TANG Jun-1, DENG Li-Miao-2, CHEN Hui-1, LUAN Tao-1, MA Wen-Jie-1. Research on Maize Leaf Recognition of Characteristics from Transmission Image Based on Machine Vision [J]. Scientia Agricultura Sinica, 2014, 47(3): 431-440. |
|