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Can we trust odor databases? Example of t- and n-butyl acetate

机译:我们可以相信气味数据库吗?乙酸叔丁酯和乙酸正丁酯的例子

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The US EPA has exempted t-butyl acetate from VOC regulations, which increases the likelihood that it may replace other solvents in some settings. This investigation probes its chemosensory properties. In Study 1, subjects (n = 29) sought to detect the odor of r-butyl acetate and of n-butyl acetate in forced-choice testing of stable concentrations, analytically confirmed. Subjects sniffed from cones with a high enough volumetric flow to insure against dilution by nonodorized air. A subject made hundreds of judgments, enough for a psychometric function for each material. The points of 50% detection above chance ("threshold") occurred at 8 and 2 ppb for t-butyl acetate and n-butyl acetate, respectively. In study 2, subjects (n = 26) sought to detect vapor with the eye via chemesthesis (sensory irritation) in 10-s exposures. Detection at 50% occurred at 177 and 113 ppm for t-butyl acetate and n-butyl acetate, respectively, more than 10,000 times above that for odor detection. The protocols produced results of uncommon precision compared to those in often-misleading archival databases. The nose exhibits much higher sensitivity than the databases indicate. The collections rarely exhibit accuracy better than ±1000%. Collection of accurate data for a VOC can ironically bring on stricter regulation for just it, a situation that calls for a strategy to improve the database by collection of new data, importation of better data, and development of quantitative structure-activity modeling.
机译:美国环保局已免除乙酸叔丁酯的VOC法规,这增加了在某些情况下它可以替代其他溶剂的可能性。这项研究探讨了其化学感应特性。在研究1中,研究对象(n = 29)试图在稳定浓度的强制选择测试中检测乙酸正丁酯和乙酸正丁酯的气味。从视锥中嗅出的受试者具有足够高的体积流量,以确保不会被无味的空气稀释。受试者做出了数百个判断,足以满足每种材料的心理功能。乙酸叔丁酯和乙酸正丁酯分别在8 ppb和2 ppb时出现高于机会的50%检测点(“阈值”)。在研究2中,受试者(n = 26)试图通过10 s暴露的化学感觉(感觉刺激)来检测眼睛的蒸气。乙酸叔丁酯和乙酸正丁酯分别在177和113 ppm处以50%的浓度进行检测,比气味检测的浓度高出10,000倍以上。与经常令人误解的档案数据库相比,该协议产生了不寻常的精度结果。鼻子比数据库显示出更高的灵敏度。这些集合很少会显示出优于±1000%的精度。具有讽刺意味的是,为VOC收集准确的数据可以讽刺地对此提出更严格的规定,这种情况要求采取一种策略,即通过收集新数据,输入更好的数据以及开发定量的结构-活性建模来改善数据库。

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