石吉勇
近期热点
资料介绍
个人简历
学习经历:\r2009.09–2012.06江苏大学食品科学专业博士学位\r2007.09–2010.06江苏大学农产品加工及贮藏专业硕士学位\r2003.09–2007.06江苏大学食品科学专业学士学位\r教学及研究经历:\r2018.01–至今江苏大学博士生导师\r2014.01–2018.01江苏大学硕士生导师\r2015.07–至今江苏大学副教授\r2012.06–2015.07江苏大学讲师研究领域
"""""1、农产品、食品品质与安全无损检测;2、近红外、高光谱图像检测;3、纳米传感检测"近期论文
1、合著专著2本\r[1] 邹小波, 石吉勇, 黄晓玮, 李亚惠. 农畜产品高光谱图像检测技术[M],中国轻工业出版社,2017年,ISBN 978-7-5019-6132-0\r[2] Zou Xiaobo, Shi Jiyong, Zhao Jiewen. Nondestructive measurement of apples using machine vision, NIR spectrophotometer and electronic nose, Apples: Nurition, Consumption and Health, SanchoJ. Cordoba and Fernando A.Delgado. Nova Science Publisher, Inc. 2011年, ISBN 978-1-61942-709-9\r2、以第一作者、共同第一作者发表论文30篇\r[1] Li Z H, Shi J Y, Huang X W, et al. Micro-sensors based on hypha-templated coaxial microfibers[J]. ANALYTICAL METHODS. 2018, 10(1): 138-144.\r[2] Shi J Y, Chen W, Zou X B, et al. Detection of triterpene acids distribution in loquat (Eriobotrya japonica) leaf using hyperspectral imaging[J]. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY. 2018, 188: 436-442.\r[3] Hu X T, Shi J Y, Zhang F, et al. Determination of Retrogradation Degree in Starch by Mid-infrared and Raman Spectroscopy during Storage[J]. FOOD ANALYTICAL METHODS. 2017, 10(11): 3694-3705.\r[4] Shi J Y, Hu X T, Zou X B, et al. A rapid and nondestructive method to determine the distribution map of protein, carbohydrate and sialic acid on Edible bird's nest by hyper-spectral imaging and chemometrics[J]. FOOD CHEMISTRY. 2017, 229: 235-241.\r[5] Zhai X D, Shi J Y, Zou X B, et al. Novel colorimetric films based on starch/polyvinyl alcohol incorporated with roselle anthocyanins for fish freshness monitoring[J]. FOOD HYDROCOLLOIDS. 2017, 69: 308-317.\r[6] Shi J Y, Zhang F, Li Z H, et al. Rapid authentication of Indonesian edible bird's nests by near-infrared spectroscopy and chemometrics[J]. ANALYTICAL METHODS. 2017, 9(8): 1297-1306.\r[7] Shi J Y, Hu X T, Zou X B, et al. A heuristic and parallel simulated annealing algorithm for variable selection in near-infrared spectroscopy analysis[J]. JOURNAL OF CHEMOMETRICS. 2016, 30(8): 442-450.\r[8] Shi J Y, Zou X B, Huang X W, et al. Rapid detecting total acid content and classifying different types of vinegar based on near infrared spectroscopy and least-squares support vector machine[J]. FOOD CHEMISTRY. 2013, 138(1): 192-199.\r[9] Shi J Y, Zou X B, Zhao J W, et al. Pre-Visual Diagnostics of Phosphorus Deficiency in Mini-Cucumber Plants Using Near-Infrared Reflectance Spectroscopy[J]. APPLIED SPECTROSCOPY. 2012, 66(12): 1426-1432.\r[10] Shi J Y, Zou X B, Zhao J W, et al. Determination of total flavonoids content in fresh Ginkgo biloba leaf with different colors using near infrared spectroscopy[J]. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY. 2012, 94: 271-276.\r[11] Shi J Y, Zou X B, Zhao J W, et al. Nondestructive diagnostics of nitrogen deficiency by cucumber leaf chlorophyll distribution map based on near infrared hyperspectral imaging[J]. SCIENTIA HORTICULTURAE. 2012, 138: 190-197.\r[12] Shi J Y, Zou X B, Zhao J W, et al. Near infrared quantitative analysis of total flavonoid content in fresh Ginkgo biloba leaves based on different wavelength region selection methods and partial least squares regression[J]. JOURNAL OF NEAR INFRARED SPECTROSCOPY. 2012, 20(2): 295-305.\r[13] Shi J Y, Zou X B, Zhao J W, et al. Diagnostics of nitrogen deficiency in mini-cucumber plant by near infrared reflectance spectroscopy[J]. AFRICAN JOURNAL OF BIOTECHNOLOGY. 2011, 10(85): 19687-19692.\r[14] Shi J Y, Zou X B, Zhao J W, et al. Rapid Diagnostics of Early Phosphorus Deficiency in Mini-Cucumber Plants under Protected Cultivation by Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS. 2011, 31(12): 3264-3268.\r[15] Shi J Y, Zou X B, Zhao J W, et al. Selection of wavelength for strawberry NIR spectroscopy based on BiPLS combined with SAA[J]. JOURNAL OF INFRARED AND MILLIMETER WAVES. 2011, 30(5): 458-462.\r[16] Shi J Y, Zou X B, Zhao J W, et al. Measurement of Chlorophyll Distribution in Cucumber Leaves Based on Hyper-spectral Imaging Technique[J]. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY. 2011, 39(2): 243-247.\r[17] Shi J Y, Zou X B, Zhao J W, et al. A New Method of Characteristic Wavelength Sub-Range Selection of Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS. 2010, 30(12): 3199-3202.\r[18] 石吉勇,胡雪桃,朱瑶迪,等. 高光谱图像技术定量检测香醋醋醅水分分布均匀性[J]. 中国食品学报. 2018(02): 250-255.\r[19] 石吉勇,胡雪桃,朱瑶迪,等. 基于近红外光谱技术的醋醅中常见杆菌快速识别[J]. 农业机械学报. 2016(02): 245-250.\r[20] 石吉勇,邹小波,张德涛,等. 不同颜色银杏叶总黄酮含量分布高光谱图像检测[J]. 农业机械学报. 2014(11): 242-245.\r[21] 石吉勇,邹小波,赵杰文,等. 渗油醋胶囊高光谱快速检测技术[J]. 农业机械学报. 2015(07): 210-213.\r[22] 石吉勇,邹小波,赵杰文,等. 高光谱图像技术检测黄瓜叶片的叶绿素叶面分布[J]. 分析化学. 2011(02): 243-247.\r[23] 石吉勇,邹小波,赵杰文,等. 基于GA-ICA和高光谱图像技术的黄瓜叶叶绿素检测[J]. 江苏大学学报(自然科学版). 2011(02): 134-139.\r[24] 石吉勇,邹小波,王开亮,等. 模拟退火算法用于食醋总酸含量近红外光谱模型的波数点优选[J]. 食品科学. 2011(10): 120-123.\r[25] 石吉勇,邹小波,赵杰文,等. 黄瓜叶片叶绿素含量近红外光谱无损检测[J]. 农业机械学报. 2011(05): 178-182.\r[26] 石吉勇,邹小波,赵杰文,等. 近红外光谱技术快速无损诊断黄瓜植株氮、镁元素亏缺[J]. 农业工程学报. 2011(08): 283-287.\r[27] 石吉勇,邹小波,赵杰文,等. BiPLS结合模拟退火算法的近红外光谱特征波长选择研究[J]. 红外与毫米波学报. 2011(05): 458-462.\r[28] 石吉勇,邹小波,赵杰文,等. 基于近红外光谱的设施栽培水果黄瓜磷元素亏缺初期快速诊断[J]. 光谱学与光谱分析. 2011(12): 3264-3268.\r[29] 石吉勇,殷晓平,邹小波,等. 基于模拟退火波长优化的草莓坚实度近红外光谱检测[J]. 农业机械学报. 2010(09): 99-103.\r[30] 石吉勇,邹小波,赵杰文,等. 一种近红外光谱特征子区间选择新算法[J]. 光谱学与光谱分析. 2010(12): 3199-3202. 相关热点
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