Metal Oxide Nanomaterials as Rice Transgenic Carriers
For the development of nanotechnology, nanomaterials are in an important position. Due to their special structure and a series of unique properties, nano-metal oxide materials are widely used in nanoelectronics, catalysis, environmental monitoring, electrochemical sensors, and many other fields. Ric...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/4375986 |
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| _version_ | 1832558346174988288 |
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| author | Xiangbo Yang Xia Bai Zhenkai Zhang Xiaoming Yu |
| author_facet | Xiangbo Yang Xia Bai Zhenkai Zhang Xiaoming Yu |
| author_sort | Xiangbo Yang |
| collection | DOAJ |
| description | For the development of nanotechnology, nanomaterials are in an important position. Due to their special structure and a series of unique properties, nano-metal oxide materials are widely used in nanoelectronics, catalysis, environmental monitoring, electrochemical sensors, and many other fields. Rice, as the most important food crop in the world, has a wide range of planting areas. Therefore, in this paper, the research on the construction of rice transgenic vectors is based on nano-metal oxide materials. In this paper, particle swarm optimization is used to optimize the weights of rice-growing convolutional neural networks. Secondly, it used rice as the test plant to study the effects of seven metal oxide nanomaterials on rice seed germination and root elongation. This sheds light on the toxic effects of metal oxide nanomaterials on rice growth and discusses the factors that affect the phytotoxicity of nanomaterials. The experimental results show that before optimization, the accuracy of the small batch sample test is 87.0456%, the accuracy of the large batch sample test is 93.5876%, and the accuracy of the test is increased by 6.542%. After optimization, the accuracy of the small batch sample test is 93.5876%, the accuracy of the large batch sample test is 99.0133%, and the accuracy of the test is increased by 5.4466%. The inhibition rates of nano-CuO and ZnO on rice root length were 97.28% and 66.75%. |
| format | Article |
| id | doaj-art-cfe2cdca71834a31903ceede1e57c367 |
| institution | Kabale University |
| issn | 1687-8442 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-cfe2cdca71834a31903ceede1e57c3672025-02-03T01:32:36ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/4375986Metal Oxide Nanomaterials as Rice Transgenic CarriersXiangbo Yang0Xia Bai1Zhenkai Zhang2Xiaoming Yu3College of AgronomyCollege of AgronomyCollege of AgronomyCollege of AgronomyFor the development of nanotechnology, nanomaterials are in an important position. Due to their special structure and a series of unique properties, nano-metal oxide materials are widely used in nanoelectronics, catalysis, environmental monitoring, electrochemical sensors, and many other fields. Rice, as the most important food crop in the world, has a wide range of planting areas. Therefore, in this paper, the research on the construction of rice transgenic vectors is based on nano-metal oxide materials. In this paper, particle swarm optimization is used to optimize the weights of rice-growing convolutional neural networks. Secondly, it used rice as the test plant to study the effects of seven metal oxide nanomaterials on rice seed germination and root elongation. This sheds light on the toxic effects of metal oxide nanomaterials on rice growth and discusses the factors that affect the phytotoxicity of nanomaterials. The experimental results show that before optimization, the accuracy of the small batch sample test is 87.0456%, the accuracy of the large batch sample test is 93.5876%, and the accuracy of the test is increased by 6.542%. After optimization, the accuracy of the small batch sample test is 93.5876%, the accuracy of the large batch sample test is 99.0133%, and the accuracy of the test is increased by 5.4466%. The inhibition rates of nano-CuO and ZnO on rice root length were 97.28% and 66.75%.http://dx.doi.org/10.1155/2022/4375986 |
| spellingShingle | Xiangbo Yang Xia Bai Zhenkai Zhang Xiaoming Yu Metal Oxide Nanomaterials as Rice Transgenic Carriers Advances in Materials Science and Engineering |
| title | Metal Oxide Nanomaterials as Rice Transgenic Carriers |
| title_full | Metal Oxide Nanomaterials as Rice Transgenic Carriers |
| title_fullStr | Metal Oxide Nanomaterials as Rice Transgenic Carriers |
| title_full_unstemmed | Metal Oxide Nanomaterials as Rice Transgenic Carriers |
| title_short | Metal Oxide Nanomaterials as Rice Transgenic Carriers |
| title_sort | metal oxide nanomaterials as rice transgenic carriers |
| url | http://dx.doi.org/10.1155/2022/4375986 |
| work_keys_str_mv | AT xiangboyang metaloxidenanomaterialsasricetransgeniccarriers AT xiabai metaloxidenanomaterialsasricetransgeniccarriers AT zhenkaizhang metaloxidenanomaterialsasricetransgeniccarriers AT xiaomingyu metaloxidenanomaterialsasricetransgeniccarriers |