【摘要】 为了快速准确地判别异嗅强度等级,将电子鼻技术应用于饮用水异嗅异味检测中,提出了电子鼻检测的优化方法并通过电子鼻信号建立了确定嗅味等级的数学模型。试验结果表明待测水样为200mL、水浴温度65℃,加热时间10min,进样方式顶空进样,可大幅度提高电子鼻传感器的检测灵敏度,使得电子鼻检出限与饮用水中低浓度嗅味物质相匹配。将优化方法用于实际水体的嗅味检测,结合嗅味层次分析(FPA),通过多元线性回归PLS方法,建立电子鼻响应值和饮用水异嗅等级的数学模型,R~2达0.986。更多还原

【Abstract】 In order to quickly and accurately discriminate taste and odor(T&O)level in water,this study applied electronic nose to detecting T&O in drinking water,proposed the optimization method of electronic nose detection,and established a mathematical model to determine the T&O level through electronic nose signal.The experimental results showed that the water sample volume was 200 mL,the temperature of water bath was 65℃,the heating time was 10 min,and the sampling method was headspace,which can greatly improve the detection sensitivity of electronic nose sensor,and make the detection limit of electronic nose match with the low concentration of odorants in drinking water.The optimization method was applied to T&O detection in actual water.At the same time,combined with flavor profile(FPA)and partial least squares(PLS)method,the mathematical model of electronic nose response value and T&O level of drinking water was established.The R2 of model reached 0.986.更多还原