Green analytical assay for the viability assessment of single maize seeds using double-threshold strategy for catalase activity and malondialdehyde content
文献类型： 外文期刊
作者： An, Ting 1 ; Fan, Yaoyao 1 ; Tian, Xi 1 ; Wang, Qingyan 1 ; Wang, Zheli 1 ; Fan, Shuxiang 1 ; Huang, Wenqian 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Intelligent Equipment Res Ctr, Beijing 100097, Peoples R China
2.Southwest Univ, Coll Engn & Technol, Chongqing 400715, Peoples R China
关键词： Hyperspectral imaging; CAT activity; MDA content; Data fusion; Seed viability
期刊名称：FOOD CHEMISTRY （ 影响因子：8.5； 五年影响因子：8.2 ）
ISSN： 0308-8146
年卷期： 2024 年 455 卷
页码：
收录情况： SCI
摘要： The development of nondestructive technology for the detection of seed viability is challenging. In this study, to establish a green and effective method for the viability assessment of single maize seeds, a two-stage seed viability detection method was proposed. The catalase (CAT) activity and malondialdehyde (MDA) content were selected as the most key biochemical components affecting maize seed viability, and regression prediction models were developed based on their hyperspectral information and a data fusion strategy. Qualitative discrimination models for seed viability evaluation were constructed based on the predicted response values of the selected key biochemical components. The results showed that the double components thresholds strategy achieved the highest discrimination accuracy (92.9%), providing a crucial approach for the rapid and environmentally friendly detection of seed viability.
- 相关文献
作者其他论文 更多>>
-
Rapid and highly sensitive detection of trace chromium and copper in tea infusion using laser-induced breakdown spectroscopy combined with electrospinning technology
作者：He, Panyu;Fu, Xinglan;Wang, Chenghao;Gou, Yujiang;An, Ting;Li, Guanglin;Cao, Fengjing;Tian, Hongwu;Ma, Shixiang;Liang, Yiyi
关键词：Laser-induced breakdown spectroscopy (LIBS); Electrospinning (ES); Tea infusion; Nanoparticles(NPs); Electrospun nanofiber membranes (ENM); Heavy metals detection
-
Combining dual-wavelength laser-induced fluorescence hyperspectral imaging with mutual information decomposition and redundancy elimination method to detect Aflatoxin B1 of individual maize kernels
作者：Fan, Yaoyao;Kang, Jian;Chen, Liping;Fan, Yaoyao;Yao, Xueying;Wang, Zheli;Long, Yuan;Chen, Liping;Huang, Wenqian;Tian, Xi;Tian, Xi
关键词：Dual-wavelength; Fluorescence hyperspectral imaging; Mutual information; Information decomposition; Maize kernels; Aflatoxin B1
-
Research on the Method of Online Detection of Hollow Watermelons Based on Full-Transmission Near-Infrared Spectroscopy
作者：Li, Jia-qi;Li, Jia-qi;Tian, Xi;Wang, Qing-yan;He, Xin;Huang, Wen-qian;Li, Jia-qi;Tian, Xi;Wang, Qing-yan;He, Xin;Huang, Wen-qian
关键词：Full-transmission near-infrared spectroscopy; Hollow watermelons; Weighted spectra; 1D-CNN
-
Data Fusion Strategy for Nondestructive Detection of Aflatoxin B1 Content in Single Maize Kernel Using Dual-Wavelength Laser-Induced Fluorescence Hyperspectral Imaging
作者：Yao, Xueying;Zhao, Chunjiang;Tian, Xi;Yao, Xueying;Yao, Xueying;Fan, Yaoyao;Wang, Qingyan;Huang, Wenqian;Zhao, Chunjiang;Tian, Xi
关键词：Maize; Fluorescence hyperspectral imaging; Aflatoxin B1; Nondestructive detection; Data fusion strategy; Dual-wavelength laser-induced fluorescence
-
Detection of starch content in maize kernel based on Raman hyperspectral imaging technique
作者：Long, Yuan;Tang, Xiuying;Zhang, Bin;Long, Yuan;Wang, Qingyan;Huang, Wenqian;Long, Yuan;Wang, Qingyan;Huang, Wenqian
关键词：Maize; Starch; Raman hyperspectral imaging; Nondestructive detection
-
Prediction of soluble solids content and anthocyanin content in blood oranges based on hyperspectral reflectance and transmittance imaging technologies
作者：Liu, Xuefeng;Xiang, Pingwei;Qin, Junlian;Ma, Xiaoli;Yuan, Xiangcheng;Hu, Deyu;Tian, Xi;Tian, Xi
关键词：hyperspectral imaging; blood oranges; soluble solids content; anthocyanin content
-
Development of a rapid detection method for maize seed purity using a modular high-throughput near-infrared non-destructive testing system
作者：Wang, Zheli;Chen, Liping;Wang, Zheli;Fan, Yaoyao;Tian, Xi;Long, Yuan;Huang, Wenqian;Chen, Liping
关键词：Maize seed; Purity; High-Throughput; Non-Destructive; Machine learning
