胡新军,副教授,博士/博士后,主要研究方向为智能检测技术、固态酿造技术及应用。先后主持博士后科学基金、省科技厅、酿酒生物技术及应用四川省重点实验室开放课题等项目十余项。以第一作者和通讯作者发表论文50余篇,其中SCI论文35篇,授权发明专利7项;指导学生参加大学生创新创业大赛9项,其中省级银奖(A类)2项,省级铜奖(A类)2项。
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教育背景:
1、2010-09 至 2017-06, 兰州大学, 材料物理与化学, 博士(硕博连读)
2、2006-09 至 2010-06, 青海大学, 材料成型及控制工程, 学士
主要研究项目:
1、酿酒粮食的高光谱无损检测方法与系统研发(2023YFS0451), 四川省科技厅重点研发项目,主持;
2、基于深度学习的酿酒粮食高光谱图像快速检测(GJ20002024043009), 固态发酵智能酿造技术安徽省重点实验室开放课题,主持;
3、基于多源数据融合的智能曲房调控系统研发(NJ2022-04), 酿酒技术及应用四川省重点实验室项目,主持;
4、石墨烯增强形状记忆复合纤维的制备及性能研究(2023RCXM64), 甘肃省级重点人才项目,主持;
5、层状仿生石墨烯/聚乙烯醇形状记忆复合纤维的制备及增强机制研究(2020M683704 XB),中国博士后科学基金面上项目,主持;
6、优化陶坛孔结构及成分促进酒体老熟的研究(CXY2019ZR003),五粮液集团公司-四川轻化工大学合作项目,主持;
7、陶缸原料及制陶工艺对原酒陈酿的影响研究(HX202022),劲牌有限公司-四川轻化工大学合作项目,主持;
8、大片氧化石墨烯/环氧树脂层状复合涂层的制备及其防腐性能研究(2018CL04),腐蚀防护四川省重点实验室开放课题,主持;
9、石墨烯增强类贝壳珍珠层铜基复合材料的制备及性能研究(GK201712),过程装备与控制工程四川省高校重点实验室开放课题,主持;
10、Cu基材料复合二维MOF衍生物的制备与电催化性能研究(202012),湖北省新型反应器与绿色化学工艺重点实验室开放基金,主持;
11、石墨烯增强铜基复合材料的制备及性能研究(2017RCL65),四川轻化工大学人才引进项目,主持。
代表性论著:
[1] Xinjun Hu, Mingkui Dai, Jianheng Peng, Jiahao Zeng, Jianping Tian, et al. Rapid sorghum variety identification by hyperspectral imaging combined with super-depth-of-field microscopy[J]. Journal of Food Composition and Analysis, 2025, 137: 106930.(SCI二区)
[2] Kangling He, Jianping Tian*, Yuanyuan Xia, Yifei Zhou, Xinjun Hu*, et al. Detection of the amylose and amylopectin contents of rice by hyperspectral imaging combined with a CNN-AdaBoost model[J]. Journal of Food Composition and Analysis, 2025, 142: 107468.(SCI二区)
[3] Xinjun Hu, Nan Ren, Yiqi Wu, Lijun Jin, Songbo Chen, Yongxiao Bai. Fabrication of high strength and functional GO/PVA/PAN ternary composite fibers by gel spinning[J]. Journal of Polymer Engineering, 2023, 43: 135-143.(SCI二区)
[4] Youhua Bu, Xinna Jiang, Jianping Tian*, Xinjun Hu*, Lipeng Han, et al. Rapid nondestructive detecting of sorghum varieties based on hyperspectral imaging and convolutional neural network[J]. Journal of the Science of Food and Agriculture, 2023, 103: 3970-3983. (SCI二区)
[5] Ting Sun, Xinjun Hu*, Jianping Tian, Qiang Gu, Danping Huang, et al. Combination of Spectral and Spatial Information of Hyperspectral Imaging for the Prediction of the Moisture Content and Visualizing Distribution in Daqu[J]. Journal of the American Society of Brewing Chemists, 2022: 1-9. (SCI四区)
[6] Yu Lei, Xinjun Hu*, Jianping Tian*, Jiahong Zhang, Songcai Yan, et al. Rapid resolution of types and proportions of broken grains using hyperspectral imaging and optimization algorithm[J]. Journal of Cereal Science, 2022, 108: 103565. (SCI二区)
[7] Xinna Jiang, Jianping Tian*, Haoping Huang, Xinjun Hu*, Lipeng Han, et al. Nondestructive visualization and quantification of total acid and reducing sugar contents in fermented grains by combining spectral and color data through hyperspectral imaging[J]. Food Chemistry, 2022, 386: 132779. (SCI一区)
[8] Haoping Huang, Xinjun Hu*, Jianping Tian*, Xinghui Peng, Huibo Luo, et al. Rapid and nondestructive determination of sorghum purity combined with deep forest and near-infrared hyperspectral imaging[J]. Food Chemistry, 2022, 377: 131981. (SCI一区)
[9] Xinjun Hu*, Songbo Chen, Manjiao Chen, Jianping Tian, Jianzhi Wang, et al. Facile Synthesis of Nitrogen/Sulfur Co-doped Three-Dimensional Holey Graphene Hydrogels for High Supercapacitive Performance[J]. Energy & Fuels, 2022, 36: 6468-6475. (SCI三区)
[10] Youhua Bu, Xinna Jiang, Jianping Tian*, Xinjun Hu*, Xue Fei, et al. Rapid and accurate detection of starch content in mixed sorghum by hyperspectral imaging combined with data fusion technology[J]. Journal of Food Process Engineering, 2022, 45: e14129. (SCI三区)
[11] Zhizhen Bai, Jianping Tian*, Xinjun Hu*, Ting Sun, Huibo Luo, Dan Huang. A back-propagation neural network model using hyperspectral imaging applied to variety nondestructive detection of cereal[J]. Journal of Food Process Engineering, 2022, 45: e13973. (SCI三区)
[12] Xinna Jiang, Xinjun Hu*, Haoping Huang, Jianping Tian*, Youhua Bu, et al. Detecting total acid content quickly and accurately by combining hyperspectral imaging and an optimized algorithm method[J]. Journal of Food Process Engineering, 2021, 44: e13844. (SCI三区)
[13] Haoping Huang, Xinjun Hu*, Jianping Tian*, Xinna Jiang, Ting Sun, et al. Rapid and nondestructive prediction of amylose and amylopectin contents in sorghum based on hyperspectral imaging[J]. Food Chemistry, 2021, 359: 129954. (SCI一区)
[14] Haoping Huang, Xinjun Hu*, Jianping Tian*, Xinna Jiang, Huibo Luo, Dan Huang. Rapid detection of the reducing sugar and amino acid nitrogen contents of Daqu based on hyperspectral imaging[J]. Journal of Food Composition and Analysis, 2021, 101: 103970. (SCI二区)
[15] Zhizhen Bai, Xinjun Hu*, Jianping Tian*, Ping Chen, Huibo Luo, Dan Huang. Rapid and nondestructive detection of sorghum adulteration using optimization algorithms and hyperspectral imaging[J]. Food Chemistry, 2020, 331: 127290. (SCI一区)
授权发明专利:
1、胡新军; 何林; 雷裕; 田建平; 陈满骄; 一种酿酒粮食中单宁含量的检测方法, 2023-11-23, CN202311571911.5;
2、胡新军; 蒋茂林; 安明哲; 谢正敏; 田建平; 马小燕; 陈满骄 ; 一种石墨烯复合陶坛及其制备方法,2023-3-21, CN202111247943.0;
3、胡新军; 胡勇; 马小燕; 一种多孔石墨烯的制备方法, 2021-11-19, CN201810902641.4;
4、拜永孝; 胡新军; 沙嫣; 沙晓林 ; 规模化制备大片石墨烯的方法, 2015-03-04, CN201410647957.5
5、拜永孝; 胡新军; 党锡江; 张桂兰 ; 一种细菌纤维素复合纤维及其制备方法, 2023-05-26, CN202111230541.X