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Evaluation of counting error due to colony masking in bioaerosol sampling.

机译:评估由于生物气溶胶采样中的菌落掩盖引起的计数误差。

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摘要

Colony counting error due to indistinguishable colony overlap (i.e., masking) was evaluated theoretically and experimentally. A theoretical model to predict colony masking was used to determine colony counting efficiency by Monte Carlo computer simulation of microorganism collection and development into CFU. The computer simulation was verified experimentally by collecting aerosolized Bacillus subtilis spores and examining micro- and macroscopic colonies. Colony counting efficiency decreased (i) with increasing density of collected culturable microorganisms, (ii) with increasing colony size, and (iii) with decreasing ability of an observation system to distinguish adjacent colonies as separate units. Counting efficiency for 2-mm colonies, at optimal resolution, decreased from 98 to 85% when colony density increased from 1 to 10 microorganisms cm-2, in contrast to an efficiency decrease from 90 to 45% for 5-mm colonies. No statistically significant difference (alpha = 0.05) between experimental and theoretical results was found when colony shape was used to estimate the number of individual colonies in a CFU. Experimental colony counts were 1.2 times simulation estimates when colony shape was not considered, because of nonuniformity of actual colony size and the better discrimination ability of the human eye relative to the model. Colony surface densities associated with high counting accuracy were compared with recommended upper plate count limits and found to depend on colony size and an observation system's ability to identify overlapped colonies. Correction factors were developed to estimate the actual number of collected microorganisms from observed colony counts.(ABSTRACT TRUNCATED AT 250 WORDS)
机译:从理论上和实验上评估了由于无法区分的菌落重叠(即掩蔽)而引起的菌落计数误差。使用预测菌落掩盖的理论模型,通过蒙特卡洛计算机模拟微生物收集和发展为CFU来确定菌落计数效率。通过收集雾化的枯草芽孢杆菌孢子并检查微观和宏观菌落,通过实验验证了计算机模拟。菌落计数效率降低(i)随着收集的可培养微生物密度的增加,(ii)菌落大小增加,以及(iii)观察系统将相邻菌落区分为独立单元的能力降低。当菌落密度从1个微生物cm-2增加到10个微生物时,2毫米菌落的计数效率在最佳分辨率下从98%降低到85%,而5毫米菌落的计数效率从90%降低到45%。当使用菌落形状估计CFU中单个菌落的数量时,实验结果与理论结果之间没有统计学上的显着差异(alpha = 0.05)。当不考虑菌落形状时,实验菌落计数是模拟估计值的1.2倍,这是因为实际菌落大小不均一,并且人眼相对于模型具有更好的辨别能力。将与高计数精度相关的菌落表面密度与推荐的平板上计数上限进行比较,发现其取决于菌落的大小和观察系统识别重叠菌落的能力。开发了校正因子以根据观察到的菌落计数来估计收集到的微生物的实际数量。(摘要截短为250字)

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