This paper reports an uncertainty analysis of quantitative visualization methodology for slug bubble dynamics in downward-facing nucleate boiling condition. Measurement of dynamics of slug bubble, i.e. departing speed, frequency, and diameter, is very important to predict safety margin of thermal systems in moving vehicle. By employing high speed visualization and post-processing, we quantitatively measured the volume and location of slug bubble, so that vapor generation rate and departing speed data were derived from their time differentiation. As a visualization methodology, its reliability was evaluated via uncertainty analysis. For 95% confidence interval, uncertainty of vapor generation rate and departing speed were 3% and 2%, respectively, and which were one order lower than standard deviation of those data.

PVY (Potyviridae: potyvirus) is one of the most important potato virus affecting seed potato production and also it is transmitted non-persistently via aphids. For healthy seed potato production, a virus detection system is highly important in addition to aphid monitoring and control. To achieve this detection method, it need to fast and easy to use. About two decades ago RT-PCR based PVY detection method was developed. However that was very time consuming and has low sensitivity. Here, we developed an advanced PVY detection method which a uses the boiling extraction of the viral RNA from aphid stylet and amplification by specific primers located in the viral capsid protein gene. Therefore, it could directly synthesize cDNA of PVY viral capsid gene from extracted RNA of PVY using one-step RT-PCR method in very short time compared to previous methods due to the omission of RNA extraction step. We confirmed this PVY detection method using the two aphid species (Macrosiphum euphorbiae and Aphis gossypii) that known as PVY vectors. The efficiency of this PVY detection method was 60% to 80% from two the aphid species. Hence, this method could be potentially applied to virus free seed potato production programs.