Yamazoe-Umemoto Akiko, Iwasaki Yuishi, Kimura Koutarou D
Department of Biological Sciences, Graduate School of Science, Osaka University, Toyonaka, Osaka, Japan.
Department of Intelligent Systems Engineering, Ibaraki University, Hitachi, Ibaraki, Japan.
Bio Protoc. 2018 Apr 5;8(7):e2797. doi: 10.21769/BioProtoc.2797.
Odor is the most fundamental chemical stimulus that delivers information regarding food, mating partners, enemies, and danger in the surrounding environment. Research on odor response in animals is widespread, although studies on experimental systems in which the gradient of odor concentration is quantitatively measured has been quite limited. Here, we describe a method for measuring a gradient of odor concentration established by volatilization and diffusion in a relatively small enclosed space, which has been used widely in laboratories to analyze small model animals such as the nematode and the fruit fly . We first vaporized known amounts of a liquid odorant 2-nonanone in a tank and subjected them to gas chromatographic analysis to obtain a calibration curve. Then, we aspirated a small amount of gas phase from a small hole on an agar plate and measured the odor concentration. By repeating this at different spatial and temporal points, we were able to detect a gradient of the odor concentration that increased over time. Furthermore, by applying these measured values to mathematical models of volatilization and diffusion, we were able to visualize an estimated dynamic change in odor concentration over an agar plate. Combining monitoring of odor concentration change in an agar plate with behavioral monitoring by machine vision will allow us to estimate how the brain computes information regarding odor concentration change in order to regulate behavior.
气味是最基本的化学刺激,它传递有关食物、交配对象、敌人以及周围环境中危险的信息。尽管对定量测量气味浓度梯度的实验系统的研究相当有限,但动物气味反应的研究却很广泛。在这里,我们描述了一种测量在相对较小的封闭空间中通过挥发和扩散建立的气味浓度梯度的方法,该方法已在实验室中广泛用于分析线虫和果蝇等小型模式动物。我们首先在一个容器中蒸发已知量的液体气味剂2-壬酮,并对其进行气相色谱分析以获得校准曲线。然后,我们从琼脂平板上的一个小孔中抽取少量气相并测量气味浓度。通过在不同的空间和时间点重复此操作,我们能够检测到随时间增加的气味浓度梯度。此外,通过将这些测量值应用于挥发和扩散的数学模型,我们能够可视化琼脂平板上气味浓度的估计动态变化。将琼脂平板上气味浓度变化的监测与机器视觉的行为监测相结合,将使我们能够估计大脑如何计算有关气味浓度变化的信息以调节行为。