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使用电子鼻检测大米昆虫侵染的可行性


来源: MolinZhou et al  发布日期: 2021-04-27  访问量: 115


电子鼻(E-nose)技术在检测储藏大米中的昆虫方面具有潜在的应用前景。通过对稻谷中的顶空挥发物进行气味指纹分析,为检测昆虫的活性提供了一种新的方法。本研究旨在探讨利用电子鼻侦测储藏过程中受侵染稻米之可行性。本研究使用电子鼻仪器(cyranose320),由32个传感器组成,用于检测受侵染水稻中产生的挥发性成分。含水量11.8的储藏大米± 0.3%用于进行试验...
标签: 电子鼻,大米,昆虫,微生物,挥发性有机物
 

Feasibility of detection of infested rice using an electronic nose

使用电子鼻检测大米昆虫侵染的可行性

MolinZhouaf RagabKhirab ZhongliPana James F.Campbell cd Randall Mutters e ZhuoyanHu f

Highlights
•The feasibility of using E-nose to detect infested rice during the storage process was studied.
•E-nose had high response ability to the volatile components produced from infested rice after four weeks of storage.
•E-nose could discriminate the clean and infested rice after four weeks of storage under temperature of 30 °C.
•E-nose could not distinguish the clean and infested rice during the first, second and third week of storage.
•Classification accuracy of E-nose for clean and infested rice was low at storage temperature of 15 °C.

重点
•研究了在储存过程中使用电子鼻检测出大米的可行性。
•储存四个星期后,电子鼻对受侵染的大米产生的挥发性成分具有较高的响应能力。
•在温度为30°C的情况下存放四个星期后,电子鼻可以区分出干净的和受感染的大米。
•在储存的第一周,第二周和第三周,电子鼻无法区分干净和侵染的大米。
•在储存温度为15°C时,纯净和受感染大米的Enose分类精度较低。

Abstract
Electronic nose (E-nose) technology has a potential to be used for detecting insects in stored rice. It may provide a new method to detect the insect activity by providing smell prints for the headspace volatiles in rice mass. The objective of this research was to study the feasibility of using E-nose to detect infested rice during the storage process. An E-nose instrument (Cyranose 320) consisting of 32 sensors for detecting the volatile components produced in infested rice was used for this study. Storage rice with moisture content of 11.8 ± 0.3% was used for conducting the tests. The rice samples were infested with different numbers of adult insects, including rice weevil (Sitophilus oryzae), lesser grain borer (Rhyzopertha dominica) and red flour beetle (Tribolium castaneum), in containers containing 1 kg of rice. The samples were stored at temperatures of 15 °C and 30 °C for four weeks. Air samples in the containers were taken for measurements every five days. The data were analyzed using the principal component analysis (PCA) method. The results revealed that the E-nose was not able to distinguish the clean rice and infested rice with lesser grain borer. While the E-nose had high response ability to the volatile components produced by rice weevil and red flour beetle after four weeks of storage. Consequently, the E-nose could discriminate the clean and infested rice with above insects after four weeks of storage at temperature of 30 °C. Additionally, under the aforementioned conditions, the E-nose could not distinguish the clean and infested rice during the first, second and third weeks of storage. The classification accuracy of E-nose for clean and infested rice was low at storage temperature of 15 °C for the tested insets. It can be concluded that the E-nose has the capability to detect infested rice after four weeks of storage.

电子鼻(E-nose)技术在检测储藏大米中的昆虫方面具有潜在的应用前景。通过对稻谷中的顶空挥发物进行气味指纹分析,为检测昆虫的活性提供了一种新的方法。本研究旨在探讨利用电子鼻侦测储藏过程中受侵染稻米之可行性。本研究使用电子鼻器(cyranose320),由32个传感器组成,用于检测受侵染水稻中产生的挥发性成分。含水量11.8的储藏大米± 0.3%用于进行试验。在装有1公斤大米的容器中,对水稻样品进行了不同数量的成虫侵染,包括稻象甲(Sitophilus oryzae)、二化螟(Rhyzopertha dominica)和红粉甲虫(Tribolium castaneum)。样品在15℃和30℃下保存四个星期。每五天对容器中的空气样本进行一次测量。数据分析采用主成分分析(PCA)方法。结果表明,E-nose不能区分干净稻和二化螟较轻的受害稻。而电子鼻在贮藏四周后对稻象甲和红粉甲虫产生的挥发性成分有较高的反应能力。因此,在30℃下储存4周后,E-nose可以鉴别出含有上述昆虫的干净和受侵染的大米。此外,在上述条件下,电子鼻在储藏的第一、第二和第三周无法区分干净的和受侵染的大米。在储藏温度为15℃时,E-nose对净米和病米的分类精度较低。可以得出结论,电子鼻在储藏四周后具有检测受侵染水稻的能力。

Keywords:Electronic nose、RiceInsect、Infestation、Detection

 


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