Based on the principle of biologic metabohsm, through sensor technology of CO2 and humidity,a new instrument using early detection of biohazard in stored grain was developed. The instrument consists of samples collection, mensuration, results display and save components, and it has a determinant system with artificial intelligence. The stability of the instrument was studied, the relative standard deviation ( n = 8 ) of repeated experiment of CO2 contents and humidity in the air and two infected samples were in the range of 1.01％ ～2.31％ and 1.39％ ～3.23％ respectively. Using the instrument and the method of counting spores of spoilage fungi, the growth of fungi and the changes of CO2 concentration, humidity in storage of different moisture of wheat, rice and maize samples had been studied.The results showed that the change of the humidity in stored grain was mainly related to the grain moisture change,and the correlation coefficient were as follows: wheat: r2 = 0.997 98, rice, r2 = 0.919 24, corn: r2 = 0. 986 74; the change of CO2 concentration in stored grain was mainly related to the growth of fungi, the correlation coefficient were as follows: wheat: r2 = 0.968 36, rice: r2 = 0. 983 84, corn: r2 = O. 979 76. In addition, an application experiment in a granary had been studied, the results showed that this instrument for early detection of fungi spoilage in stored grain was feasible.%基于生物代谢的原理,采用CO2和湿度传感技术,研制出一种新型的储粮生物危害早期检测仪器.该仪器由样本采集、检测、结果显示及保存等部分组成,并带有人工智能判定系统.选用环境样本和两个被感染玉米样品对仪器进行了稳定性检验,CO2和湿度(n=8)相对标准偏差(RSD%)范围分别为1.01%～2.31%和1.39%～3.23%.采用本仪器与危害真菌孢子计数法,对不同水分的小麦、稻谷和玉米样品储藏真菌生长与CO2浓度、湿度变化进行了研究,结果表明,粮食中湿度变化主要与粮食的水分有关,其相关性分别为:小麦r2=0.997 98、稻谷r2=0.919 24、玉米r2=0.986 74;样品中CO2浓度的变化主要与真菌生长有关,其相关性分别为:小麦r2=0.968 36、稻谷r2=0.983 84、玉米r2=0.979 76.另外,以平房仓小麦储藏为例,进行了应用性实验.结果表明,本仪器用于储粮真菌危害的早期检测是可行的.
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