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200 mL、水浴温度65℃,加热时间10 min,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.
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.
作者
张孝洪
吴小刚
张可佳
李贤舟
散雨龙
ZHANG Xiaohong;WU Xiaogang;ZHANG Kejia;LI Xianzhou;SAN Yulong(Zhoushan Water Supply Co.,Ltd.,Zhoushan 316021,China;College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058 China)
出处
《给水排水》
CSCD
北大核心
2021年第10期20-26,共7页
Water & Wastewater Engineering
基金
国家自然科学基金(51978602,51778561)
国家水体污染控制与治理科技重大专项(2017ZX07201004)。
关键词
电子鼻
嗅味等级
检测优化
数学模型
Electronic nose
Taste and odor level
Optimization of detection method
Mathematical model
