Study on Rapid Non-Destructive Detection Method of Corn Freshness Based on Hyperspectral Imaging Technology

被引:3
作者
Zhang, Yurong [1 ,2 ,3 ]
Liu, Shuxian [1 ,2 ,3 ]
Zhou, Xianqing [1 ,2 ,3 ]
Cheng, Junhu [4 ]
机构
[1] Henan Univ Technol, Sch Food & Strateg Reserv, Zhengzhou 450001, Peoples R China
[2] Minist Educ, Engn Res Ctr Grain Storage & Secur, Zhengzhou 450001, Peoples R China
[3] Henan Prov Engn Technol Res Ctr Grain Post Harvest, Zhengzhou 450001, Peoples R China
[4] South China Univ Technol, Sch Food Sci & Engn, Guangzhou 510641, Peoples R China
关键词
corn; fatty acid values; freshness; hyperspectral imaging; chemical information visualization; MOISTURE-CONTENT;
D O I
10.3390/molecules29132968
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
(1) Background: To achieve the rapid, non-destructive detection of corn freshness and staleness for better use in the storage, processing and utilization of corn. (2) Methods: In this study, three varieties of corn were subjected to accelerated aging treatment to study the trend in fatty acid values of corn. The study focused on the use of hyperspectral imaging technology to collect information from corn samples with different aging levels. Spectral data were preprocessed by a convolutional smoothing derivative method (SG, SG1, SG2), derivative method (D1, D2), multiple scattering correction (MSC), and standard normal transform (SNV); the characteristic wavelengths were extracted by the competitive adaptive reweighting method (CARS) and successive projection algorithm (SPA); a neural network (BP) and random forest (RF) were utilized to establish a prediction model for the quantification of fatty acid values of corn. And, the distribution of fatty acid values was visualized based on fatty acid values under the corresponding optimal prediction model. (3) Results: With the prolongation of the aging time, all three varieties of corn showed an overall increasing trend. The fatty acid value of corn can be used as the most important index for characterizing the degree of aging of corn. SG2-SPA-RF was the quantitative prediction model for optimal fatty acid values of corn. The model extracted 31 wavelengths, only 12.11% of the total number of wavelengths, where the coefficient of determination RP2 of the test set was 0.9655 and the root mean square error (RMSE) was 3.6255. (4) Conclusions: This study can provide a reliable and effective new method for the rapid non-destructive testing of corn freshness.
引用
收藏
页数:16
相关论文
共 44 条
[1]  
[Anonymous], 2015, GB/T 20570-2015
[2]   Rapid retrieval of cadmium and lead content from urban greenbelt zones using hyperspectral characteristic bands [J].
Arif, Muhammad ;
Qi, Yuancai ;
Dong, Zhi ;
Wei, Hong .
JOURNAL OF CLEANER PRODUCTION, 2022, 374
[3]   Hyperspectral detection of sugar content for sugar-sweetened apples based on sample grouping and SPA feature selecting methods [J].
Chen, Jie ;
Bai, Tiecheng ;
Zhang, Nannan ;
Zhu, Lixia ;
Zhang, Xiao .
INFRARED PHYSICS & TECHNOLOGY, 2022, 125
[4]   Non-destructive detection of egg white and yolk morphology transformation and salt content of salted duck eggs in salting by hyperspectral imaging [J].
Chen, Yuanzhe ;
Chen, Zhuoting ;
Yan, Qian ;
Liu, Yuming ;
Wang, Qiaohua .
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2024, 262
[5]   An overview of pre-processing methods available for hyperspectral imaging applications [J].
Cozzolino, D. ;
Williams, P. J. ;
Hoffman, L. C. .
MICROCHEMICAL JOURNAL, 2023, 193
[6]   Rice seed classification by hyperspectral imaging system: A real-world dataset and a credible algorithm [J].
Ge, Yufei ;
Song, Shaozhong ;
Yu, Shuang ;
Zhang, Xiaoli ;
Li, Xiongfei .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 219
[7]  
He J., 2023, P 4 INT C GEOL MAPP, P1297817
[8]   Inversion analysis of soil nitrogen content using hyperspectral images with different preprocessing methods [J].
He, Jiachen ;
Jing, He ;
Gang, Liu ;
Li, Weile ;
Zhe, Li ;
Zhi, Li .
ECOLOGICAL INFORMATICS, 2023, 78
[9]   Classical and emerging non-destructive technologies for safety and quality evaluation of cereals: A review of recent applications [J].
Hussain, Nisar ;
Sun, Da-Wen ;
Pu, Hongbin .
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2019, 91 :598-608
[10]   Hyperspectral imaging for a rapid detection and visualization of duck meat adulteration in beef [J].
Jiang, Hongzhe ;
Wang, Wei ;
Zhuang, Hong ;
Yoon, Seung-Chul ;
Yang, Yi ;
Zhao, Xin .
FOOD ANALYTICAL METHODS, 2019, 12 (10) :2205-2215