摘要
文章旨在探讨一种快速检测空气中熏蒸剂含量的电子鼻方法。运用电子鼻对含有不同浓度香茅醛的空气样品进行检测,采用偏最小二乘法(PLS)对数据进行处理,建立了空气中香茅醛浓度预测模型。结果显示,对0.8×10^-3μL/mL、2×10^-3μL/mL、4×10^-3μL/mL这3个浓度的样品,预测结果的RSD分别为16%、10%、14%,表明电子鼻方法预测空气中香茅醛浓度的可行性。
This paper aims to explore a rapid detection method of electronic nose for fumigant content in air.The air samples containing different concentrations of citronellal were detected by electronic nose,and the data were processed by partial least squares(PLS).The citronellal concentration prediction model in air was established.The results showed that for the three concentrations of 0.8×10^-3μL/mL,2×10^-3μL/mL and 4×10^-3μL/mL,the RSD of the predicted results were 16%,10%,and 14%,respectively,indicating the feasibility of the electronic nose method for predicting citronellal content in air.
作者
曾檀
唐欢
王春
ZENG Tan;TANG Huan;WANG Chun(Key Scientific Research Base of Pest and Mold Control of Heritage Collection State Administration of Cultural Heritage,Chongqing Three Gorges Museum in China,Chongqing 400015,China)
出处
《自然与文化遗产研究》
2019年第S02期195-199,共5页
Study on Natural and Cultural Heritage
关键词
电子鼻
植物精油
香茅醛
定量分析
electronic nose
plant essential oil
citronellal
quantitative analysis
