Literature DB >> 25970890

[Advances of NIR spectroscopy technology applied in seed quality detection].

Li-wei Zhu, Wen-guang Ma, Jin Hu, Yun-ye Zheng, Yi-xin Tian, Ya-jing Guan, Wei-min Hu.   

Abstract

Near infrared spectroscopy (NIRS) technology developed fast in recent years, due to its rapid speed, less pollution, high-efficiency and other advantages. It has been widely used in many fields such as food, chemical industry, pharmacy, agriculture and so on. The seed is the most basic and important agricultural capital goods, and seed quality is important for agricultural production. Most methods presently used for seed quality detecting were destructive, slow and needed pretreatment, therefore, developing one kind of method that is simple and rapid has great significance for seed quality testing. This article reviewed the application and trends of NIRS technology in testing of seed constituents, vigor, disease and insect pests etc. For moisture, starch, protein, fatty acid and carotene content, the model identification rates were high as their relative contents were high; for trace organic, the identification rates were low as their relative content were low. The heat-damaged seeds with low vigor were discriminated by NIRS, the seeds stored for different time could also been identified. The discrimination of frost-damaged seeds was impossible. The NIRS could be used to identify health and infected disease seeds, and did the classification for the health degree; it could identify parts of the fungal pathogens. The NIRS could identify worm-eaten and health seeds, and further distinguished the insect species, however the identification effects for small larval and low injury level of insect pests was not good enough. Finally, in present paper existing problems and development trends for NIRS in seed quality detection was discussed, especially the single seed detecting technology which was characteristic of the seed industry, the standardization of its spectral acquisition accessories will greatly improve its applicability.

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Year:  2015        PMID: 25970890

Source DB:  PubMed          Journal:  Guang Pu Xue Yu Guang Pu Fen Xi        ISSN: 1000-0593            Impact factor:   0.589


  2 in total

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Authors:  Yiming Liu; Donghang Li; Huaiming Li; Xiaoping Jiang; Yan Zhu; Weixing Cao; Jun Ni
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2.  Spectral-Based Screening Approach Evaluating Two Specific Maize Lines With Divergent Resistance to Invasion by Aflatoxigenic Fungi.

Authors:  Zuzana Hruska; Haibo Yao; Russell Kincaid; Feifei Tao; Robert L Brown; Thomas E Cleveland; Kanniah Rajasekaran; Deepak Bhatnagar
Journal:  Front Microbiol       Date:  2020-01-22       Impact factor: 5.640

  2 in total

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