个人简介
李晓丽，女，四川广安人，浙江大学，教授，博士生导师，主要从事农业信息化、农产品生理生化及品质无损测量方法研究等，主持了国家级和省部级项目多项，包括国家自然科学基金，国家十二五科技支撑计划项目子项目，中国博士后基金面上项目，浙江省博士后基金一等资助、浙江省教育厅科研项目和浙江省公益性应用项目等。研究成果发表在权威SCI期刊《Biotechnology for biofuels》，《Food Chemistry》，《Transactions of the ASABE》，以及《Journal of Food Engineering》，《Expert Systems with Applications》等上；近年，发表SCI收录论文50多篇，论文的SCI引用次数合计800多次，授权发明专利26项。受邀参加了在美国、澳大利亚、法国、韩国等国召开国际学术会议，并宣读大会报告，获得了国内外同行的好评。
获得广东省科技进步二等奖一项，2018年；获得浙江省科技进步二等奖一项，2017年；教育部科学技术进步二等奖一项，2015年；机械工业学会科学技术三等奖一项，2013年。
专利成果
[1]李晓丽,孙婵骏,何勇等.一种茶叶中美术绿含量的检测方法.授权国家发明专利ZL201410362639.4
[2]李晓丽,何勇,罗榴彬,孙婵骏等.一种茶叶中干物质含量的检测方法.授权国家发明专利ZL201310530581.5
[3]李晓丽,周瑞清,何勇,聂鹏程,孙婵骏,周斌雄等.一种毛竹中纤维素含量的检测系统及方法.授权国家发明专利ZL201510550780.1
[4]李晓丽,孙婵骏,何勇等.拉曼光谱中宇宙射线干扰的识别及消除方法.授权国家发明专利ZL201310631802.8
[5]李晓丽,何勇,罗榴彬等.一种茶叶叶片SPAD指数的检测方法.授权国家发明专利ZL201310526989.5
[6]李晓丽,孙婵骏,何勇等.一种茶叶中茶多酚含量的检测方法.授权国家发明专利ZL201310526683.X
[7]聂鹏程,李晓丽,何勇等.一种基于太阳角修正的植物冠层信息光谱检测仪器及方法.授权国家发明专利ZL201210320141.2
[8]李晓丽,罗榴彬,何勇.基于拉曼光谱的尿素同位素丰度的快速检测方法.授权国家发明专利ZL201210422515.1
[9]何勇,聂鹏程,李晓丽等.一种主动诱导式农业物联网深度路由组网方法.授权国家发明专利ZL201210226306.X
[10]李晓丽,罗榴彬,何勇等.基于小波变换的快速无损检测绿茶含水率的方法.授权国家发明专利ZL201110375608.9
[11]李晓丽,何勇,罗榴彬等.室外高光谱图像采集系统中太阳光源的校正方法.授权国家发明专利ZL201110375474.0
[12]李晓丽,何勇,罗榴彬等.基于12个特征波长的无损快速检测茶叶含水率的方法.授权国家发明专利ZL201110375465.1
[13]李晓丽,聂鹏程,何勇等.基于11个特征波长快速无损检测茶叶干物质含量的方法.授权国家发明专利ZL201110375873.7
[14]李晓丽,何勇,聂鹏程.15N示踪尿素同位素丰度的红外光谱快速检测方法.授权国家发明专利ZL201110175025.1
[15]何勇,聂鹏程,李晓丽等.一种植物营养含量检测光谱仪的校正方法.授权国家发明专利ZL201010115010.1
教学与课程
生物系统模拟，本科生，40学时/年
管理信息系统，研究生，32学时/年
工作研究项目
项目（基金）名称
项目（基金）
来源
项目（基金）级别
起始
年度
终止
年度
排名
基于非标记化学成像的大气中铅颗粒物的茶树叶面吸收机理研究
国家自然科学基金面上基金
国家级
201801
202112
第一
茶云纹叶枯病侵染叶片细胞壁多糖的拉曼化学成像机理及特性研究
国家自然科学基金青年基金
国家级
201301
201512
第一
香梨及雌雄在线检测与精确分级技术
国家科技支撑计划子课题
国家级
2015
2018
第一
茶叶性状参数测试技术与系统研制
国家科技支撑计划子课题
国家级
2014
2016
第一
茶叶中非法添加美术绿的鉴定方法研究
浙江省公益性项目
省级
2014
2015
第一
典型农产品产地分级处理成套装备研制与示范子项
国家十二五科技支撑计划项目
国家级
201101
201312
第一
茶叶加工过程中主要品质特征的高光谱图像响应机理及定量估算模型研究
2010年度浙江省博士后科研项目择优资助（一等资助）
省部级
201012
201106
第一
加工过程中茶叶主要理化特性的高光谱图像响应机理及定量估算模型研究
中国博士后科学基金第四十七批面上资助
国家级
201007
201106
第一
真菌侵染下茶叶细胞壁多糖的拉曼化学成像机理研究
浙江省教育厅
省部级
201210
201410
第一
基于智能检测技术的多种类茶叶加工自动化生产线研制
浙江省科技厅重点重点研发计划项目
省级
2016
2018
第二
出版著作
何勇，刘飞，李晓丽，邵咏妮，光谱及成像技术在农业中的应用，科学出版社，2015。
奖励荣誉
[1]“智慧农业信息实时获取与智能管控关键技术及装备”，获2018年度广东省科技进步奖二等奖一项，排名（第4）
[2]“茶叶生产全过程品质安全管控及加工关键技术和设备”获2017年教育部高校科学技术进步奖二等奖一项，排名（第4）
[3]“名优绿茶生产加工关键技术创新与成套设备研发”获2017年浙江省科学技术进步奖二等奖一项，排名（第5）
[4]“地-空-星三位一体农田多源信息获取与融合关键技术及装备”、获2017年大北农科技奖、智慧农业奖（共享）
[5]“植物养分生理和病害信息的快速检测与诊断技术”、获2016年浙江省农业机械科学技术奖、一等奖，排名（第10）
[6]“植物-环境信息快速感知与物联网实时监控技术及装备”获2015年国家科技进步二等奖一项，排名（第13）
[7]“植物病虫害信息早期快速检测关键技术研究与仪器开发”获2015年度教育部科学技术进步一等奖一项，排名（第13）
[8]“名优绿茶生产加工关键技术与智能化装备研发”获2013年度中国机械工业科学技术奖三等奖一项，排名（第5）
近期论文
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2021年
1)Mostafa Gouda,KaiChen,Xiaoli Li*,Yufei Liu*,Yong He，Detection of microalgae single-cell antioxidant and electrochemical potentials by gold microelectrode and Raman micro-spectroscopy combined with chemometrics,Sensors and Actuators B:Chemical,Volume 329,15 February 2021,129229
2)Zeng Jianjun,Ping Wen,Sanaeifar Alireza,Xu Xiao,Luo Wei,Sha Junjing,Huang Zhenxiong;Huang Yifeng,Liu Xuemei,Zhan Baishao,Zhang Hailiang*,Xiaoli Li*,Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer.Plant Methods(1746-4811),17(1),p.4.
2020年
1)Hongbin Pu,Yiwen Xu,Da-Wen Sun*,Qingyi Wei，Xiaoli Li*,Optical nanosensors for biofilm detection in the food industry:principles,applications and challenges,Critical Reviews in Food Science and Nutrition,2020-09,21,21,1-18
2)Alireza Sanaeifar,Xinyao Huang,Mengyuan Chen,Zhangfeng Zhao,Yifan Ji,*Xiaoli Li,Yong He,Yi Zhu,Xi Chen,Xinxin Yu,Nondestructive monitoring of polyphenols and caffeine during green tea processing using Vis-NIR spectroscopy,Food Science&Nutrition,2020-09,2,4,1-15
3)Yifeng Huang,Wentao Dong,Alireza Sanaeifar,Xiaoming Wang,Wei Luo,Baishao Zhan,Xuemei Liu,Ruili Li,*Hailiang Zhang,*Xiaoli Li,Development of simple identification models for four main catechins and caffeine in fresh green tea leaf based on visible and near-infrared spectroscopy,,Computers and Electronics in Agriculture,2020-06,173,105388,1-10
4)Xiaoli Li,Kai Chen,*Yong He,In situ and non-destructive detection of the lipid concentration of Scenedesmus obliquus using hyperspectral imaging technique,Algal Research-biomass Biofuels and Bioproducts,2020-01,45,101680,1-8
5)Xiaoli Li,Junjing Sha,Yihua Xia,Kuichuan Sheng,Yufei Liu*,Yong He*,Quantitative visualization of subcellular lignocellulose revealing the mechanism of alkali pretreatment to promote methane production of rice straw,Biotechnology for Biofuels,2020-01,13,1,1-14,
2019年
1).Ning Xu,Panpan Zhu,Jing Liang,Li Liu,Wen Zhang,Yong He,Xiaoli Li*(2019),Label-free Raman spectroscopy monitoring of cytotoxic response induced by a telomerase inhibitor,Sensors and Actuators B:Chemical,Volume 293,Pages1-10,https://authors.elsevier.com/a/1Z0AE_L2eex3sG.
2).Xiaoli Li,Junjing Sha,Bingquan Chu,Yuzhen Wei,Weihao Huang,Hong Zhou,Ning Xu,Yong He(2019),Quantitative visualization of intracellular lipids concentration in a microalgae cell based on Raman micro-spectroscopy coupled with chemometrics,Sensors and Actuators B:Chemical,Volume 292,Pages 7-15.
3).Yuzhen Wei,Feiyue Wu,Jie Xu,Junjing Sha,Zhangfeng Zhao,Yong He,Xiaoli Li*(2019)Visual detection of the moisture content of tea leaves with hyperspectral imaging technology,Journal of Food Engineering,Volume 248,Pages 89-96.
4).Rui-Qing Zhou,Juan-Juan Jin,et al.,Xiaoli Li*(2019),Early detection of Magnaporthe oryzae-infected barley leaves and lesion visualization based on hyperspectral imaging,Frontiers in Plant Science,15 January 2019,Volume 9,Article 1962,doi:10.3389/fpls.2018.01962.
5).Xiaoli Li,Juan-Juan Jin,et al.(2019),Simultaneous determination of six main types of lipid-soluble pigments in green tea by visible and near-infrared spectroscopy,Food Chemistry,270,236-242.
6).Zhou,R.Q.,Xiaoli Li*,He,Y.,Jin J.J.(2018),Determination of catechins and caffeine content in tea(Camellia sinensis L.)leaves at different positions by fourier-transform infrared spectroscopy,Transactions of the ASABE,61（4），1221-1230.
2018年
7).Xiaoli Li,et al.(2018),Quantitative visualization of lignocellulose components in transverse sections of moso bamboo based on FTIR macro-and micro-spectroscopy coupled with chemometrics,Biotechnology for Biofuels,11(1),263.DOI:10.1186/s13068-018-1251-4.
8).Xiaoli Li,et al.(2018),Rapid Determination of Chlorophyll and Pheophytin in Green Tea Using Fourier Transform Infrared Spectroscopy,Molecules,23,1010.
9.Xiaoli Li,et al.(2018),SSC and pH for sweet assessment and maturity classification of harvested cherry fruit based on NIR hyperspectral imaging technology,Postharvest Biology and Technology,143,112-118.
2017年
10.Xiaoli Li,Xu Kaiwen,Zhang,Yuying,Sun Chanjun,He,Yong,(2017),Optical Determination of lead chrome green in green tea by Fourier transform infrared(FT-IR)transmission spectroscopy[J].PLoS one,12(1):e0169430.doi:10.1371/journal.pone.0169430
11.Xiaoli Li,Ruiqing Zhou,Yifei Xu,Xuan Wei,Yong He,(2017),Spectral unmixing combined with Raman imaging,a preferable analytic technique for molecule visualization[J],Applied Spectroscopy Reviews,52(5):417-438.
12.Xiaoli Li,Chanjun Sun,Binxiong Zhou,Yong He,Determination of hemicellulose,cellulose and lignin in moso bamboo by near infrared spectroscopy[J],Scientific Reports,2015,5（17210）:1-11.
13.Xiaoli Li,Chanjun Sun,Liubin Luo,Yong He,Nondestructive detection of lead chrome green in tea by Raman spectroscopy[J],Scientific Reports,2015,5（15729）:1-9.
14.Xiaoli Li,Chanjun Sun,Liubin Luo,Yong He,Determination of tea polyphenols content by infrared spectroscopy coupled with iPLS and random frog techniques[J],Computers and Electronics in Agriculture,2015,112（3）:28-35.
15.Xiaoli Li,Liubin Luo,Yong He,Ning Xu,Determination of dry matter content of tea by near and middle infrared spectroscopy coupled with wavelet-based data mining algorithms[J],Computers and Electronics in Agriculture,2013,98（10）:46-53.
16.Xiaoli Li,Chuanqi Xie,Yong He,Zhengjun Qiu,Yanchao Zhang,Characterizing the moisture content of tea with diffuse reflectance spectroscopy using wavelet transform and multivariate analysis[J],Sensors,2012,12（7）:9847-9861.
17.Xiaoli Li,Pengcheng Nie,Zhengjun Qiu,Yong He,Using wavelet transform and multi-class least square support vector machine in multi-spectral imaging classification of Chinese famous tea[J],Expert Systems with Applications,2011,38（9）:11149-11159.
18.Xiaoli Li,Yong He,Evaluation of least squares support vector machine regression and other multivariate calibrations in determination of internal attributes of tea beverages[J],Food and Bioprocess Technology,2010,3（5）:651-661.
19.Xiaoli Li,Yong He,Changqing Wu,Least square support vector machine analysis for the classifica of paddy seeds by harvest year[J],Transactions of the ASABE,2008,51（5）:1793-1799.
20.Xiaoli Li,Yong He,Chlorophyll assessment and sensitive wavelength exploration for tea(Camellia sinensis)based on reflectance spectral characteristics[J],Hortscience,2008,43（5）:1586-1591.
21.Xiaoli Li,Yong He,Discriminating varieties of tea plant based on Vis/NIR spectral characteristics and using artificial neural networks[J],Biosystems Engineering,2008,99（3）:313-321.
22.Xiaoli Li,Yong He,Changqing Wu,Dawen Sun,Nondestructive measurement and fingerprint analysis of soluble solid content of tea soft drink based on Vis/NIR spectroscopy[J],Journal of Food Engineering,2007,82（3）:316-323.
23.Xu Y,Deng S,Xiaoli Li,et al.A sparse unmixing model based on NMF and its application in Raman image[J].Neurocomputing,2016,207(C):120-130.引用4
24.Chuanqi Xie,Yongni Shao,Xiaoli Li,Yong He,Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging[J],Scientific Reports,2015,5（16564）:1-11.
25.Chuanqi Xie,Xiaoli Li,Yongni Shao,Yong He,Color measurement of tea leaves at different drying periods using hyperspectral imaging technique[J],Plos One,2014,9（12）:1-15.
26.Chuanqi Xie,Xiaoli Li,Pengcheng Nie,Yong He,Application of time series hyperspectral imaging(TS-HSI)for determining water content within tea leaves during drying,Transactions of the ASABE[J],2013,56（6）:1431-1440.
27.Shuiguang Deng,Yifei Xu,Li Li,Xiaoli Li,Yong He,A feature-selection algorithm based on support vector machine-multiclass for hyperspectral visible spectral analysis[J],Journal of Food Engineering,2013,119（1）:159-166.
28.Di Wu,Haiqing Yang,Xiaojing Chen,Yong He,Xiaoli Li,Application of image texture for the sorting of tea categories using multi-spectral imaging technique and support vector machine[J],Journal of Food Engineering,2008,88（4）:474-483.
29.Yong He,Xiaoli Li,Xunfei Deng,Discrimination of varieties of tea using near infrared spectroscopy by principal component analysis and BP model[J],Journal of Food Engineering,2007,79（4）:1238-1242.
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