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Feasibility of detection of infested rice using an electronic nose

机译:使用电子鼻子检测侵染米的可行性

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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 degrees C and 30 degrees 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 Enose could discriminate the clean and infested rice with above insects after four weeks of storage at temperature of 30 degrees 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 degrees 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. (C) 2021 Elsevier Ltd. All rights reserved.
机译:电子鼻(E-nose)技术有可能用于检测储藏大米中的昆虫。通过提供大米中顶空挥发物的气味指纹,可以提供一种检测昆虫活动的新方法。本研究的目的是研究在储藏过程中使用电子鼻检测受感染大米的可行性。本研究使用了一种电子鼻仪器(Cyranose 320),该仪器由32个传感器组成,用于检测侵染水稻中产生的挥发性成分。使用含水量为11.8+/-0.3%的储藏大米进行试验。在装有1公斤大米的容器中,大米样本中感染了不同数量的成虫,包括稻象甲(米象)、小粒螟(多米尼克Rhyzopertha dominica)和红粉甲虫(赤拟谷盗)。样本在15摄氏度和30摄氏度的温度下储存四周。容器中的空气样本每五天进行一次测量。使用主成分分析(PCA)方法对数据进行分析。结果表明,电子鼻无法区分干净的大米和受二化螟危害较小的大米。而电子鼻在储存四周后,对稻象甲和红粉甲虫产生的挥发性成分有很高的反应能力。因此,在30摄氏度的温度下储存四周后,Enose可以区分干净和受感染的大米与上述昆虫。此外,在上述条件下,在储存的第一、第二和第三周内,Enose无法区分干净和受感染的大米。在15摄氏度的储存温度下,电子鼻对干净和受感染大米的分类精度较低。可以得出结论,在储存四周后,电子鼻具有检测受感染大米的能力。(c)2021爱思唯尔有限公司保留所有权利。

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