Cyranose320电子鼻用于水稻样品品质分类鉴定

rapid identification of rice samples using an electronic nose
电子鼻用于水稻样品品质分类鉴定xian-zhe zheng1, yu-bin lan2, jian-min zhu3, john westbrook2, w. c. hoffmann2, r. e. lacey4
1. college of engineering, northeast agricultural university, harbin 150030, p. r. china
2. usda-ars, college station, tx 77845, usa
3. department of mathematics and computer science, fort valley state university, ga 31030, usa
4. department of biological and agricultural engineering, texas a&m university, college station, texas 77843-2117, usa
abstractfour rice samples of long grain type were tested using an electronic nose (cyranose 320). samples of 5 g of each variety of rice were placed individually in vials and were analyzed with the electronic nose unit consisting of 32 polymer sensors. the cyranose 320 was able to differentiate between varieties of rice. the chemical composition of the rice odors for differentiating rice samples needs to be investigated. the optimum parameter settings should be considered during the cyranose 320 training process especially for multiple samples, which are helpful for obtaining an accurate training model to improve identification capability. further, it is necessary to investigate the e-nose sensor selection for obtaining better classification accuracy. a reduced number of sensors could potentially shorten the data processing time, and could be used to establish an application procedure and reduce the cost for a specific electronic nose. further research is needed for developing analytical procedures that adapt the cyranose 320 as a tool for testing rice quality.
用电子鼻(cyranose320)对4个长粒型水稻样品进行了测试。将每种5克大米的样品分别放在小瓶中,用由32个聚合物传感器组成的电子鼻装置进行分析。cyranose 320能够区分水稻品种。为了鉴别大米样品,需要对大米气味的化学成分进行研究。在cyranose 320训练过程中,尤其是多样本训练时,应考虑参数设置,这有助于获得准确的训练模型,提高识别能力。此外,为了获得更好的分类精度,有必要对电子鼻传感器的选择进行研究。减少传感器数量可能会缩短数据处理时间,并可用于建立应用程序和降低特定电子鼻的成本。需要进一步的研究,以开发分析程序,以适应作为一个工具测试水稻质量。

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