Evaluation of growth characteristics of Aspergillus parasiticus inoculated in different culture media by shortwave infrared(SWIR) hyperspectral imaging

作     者：Xuan Chu Wei Wang Xinzhi Ni Haitao Zheng Xin Zhao Hong Zhuang Kurt C.Lawrence Chunyang Li Yufeng Li Chengjun Lu 

作者机构：College of EngineeringChina Agricultural University Beijing 100083P.R.China College of Mechanical and Electrical Engineering Zhongkai University of Agriculture Engineering Guangzhou 510225P.R.China Crop Genetics and Breeding Research Unit USDA-ARS2747 Davis RoadTiftonGA 31793USA College of Food Science&Nutritional Engineering China Agricultural UniversityBeijing 100083PR.China Quality&Safety Assessment Research Unit U.S.National Poultry Research CenterUSDA-ARS 950 College Station Rd.AthensGA 30605USA Quality&Safety Assessment Research Unit USDA-ARSAthensGA 30605USA Institute of Food Science and Technology Jiangsu Academy of Agricultural Sciences Nanjing 210014P.R.China Multidisciplinary Initiative Center Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049P.R.China Lingang Experimental Middle School Linyi 276624P.R.China 

出 版 物：《Journal of Innovative Optical Health Sciences》 (创新光学健康科学杂志（英文）)

年 卷 期：2018年第11卷第5期

页      面：69-83页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 071102[理学-系统分析与集成] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 0711[理学-系统科学] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 0805[工学-材料科学与工程（可授工学、理学学位）] 0836[工学-生物工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0702[理学-物理学] 081103[工学-系统工程] 

基　　金：the National Natural Science Foundation of China(No.31772062) Gannan Camellia Industry Development and Innovative Center Open Fund(Grant No.YK201610) 

主　　题：Aspergilus parasiticus growth characteristics characteristic wavelengths shortwave infrared(SWIR)hyperspectral imaging 

摘      要：The growth characteristics of Aspergillus parasitic us incubated on two culture media were ex-amined using shortwave infrared(SWIR,1000-2500 nm)hyperspectral imaging(HSI)in this *** images of the *** colonies growing on rose bengal medium(RBM)and maize agar medium(MAM)were recorded daily for 6 *** growth phases of *** were indicated through the pixel number and average spectra of *** score plot of the first principal component(PC1)and PC2,four growth zones with varying mycelium densities were *** characteristic wavelengths(1095,1145,1195,1279,1442,1655,1834 and 1929 nm)were selected from PC1 loading,average spectra of each colony as well as each growth zone.F urthermore,support vector machine(S VM)classifier based on the eight wavelengths was built,and the classification accuracies for the four zones(from outer to inner zones)on the colonies on RBM were 99.77%,9935%,99.75%and 99.60%and 99.77%,9939%,99.31%and 98.22%for colonies on *** addition,a new score plot of PC2 and PC3 was used to differ-entiate the colonies incubated on RBM and MAM for 6 *** characteristic wavelengths of 1067,1195,1279,1369,1459,1694,1834 and 1929 nm were selected from the loading of PC2 and *** on them,a new SVM model was developed to diferentiate colonies on RBM and MAM with accuracy of 100.00%and 9999%,*** conclusion,SWIR hyperspectral image is a powerful tool for evaluation of growth characteristics of *** incubated in diferent culture media.