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Detection of gas concentrations based on age on Staphylococcus aureus biofilms with gas array sensors

机译:基于气体阵列传感器的金黄色葡萄球菌生物膜的气体浓度检测

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Bacteria that have developed in the biofilm phase will be more resistant to antibiotics and emit gases that have certain characteristics. One dose of culture from Trypticase Soy Broth (TSB) (Merck, Germany) was inoculated into 10 mL of Trypticase Soy Broth (TSB) (Merck, Germany) and homogenized for a concentration of 0.5 McFarland (10-13 CFU / mL). The suspension was detected by ELISA reader (λ 595nm)Based on the results that have been obtained, the sensor on the gas array instrument can detect both a variety of distinctive gas patterns in S. Variations in shelf life and variations in the types of samples provided can be tracked both by the entire sensor. This is indicated by the emergence of a unique and different sensor voltage output pattern in each variation. The processing of sensor output using the PCA (Principal Component Analysis) method can accommodate 86.45% of the data variation, including the first component and the second component respectively 70.4% and 18.1%. Through the PCA method, each variation of bacterial treatment can be classified properly, so it can be used to clearly distinguish the age of bacteria and biofilm age. When loading the PCA plot, the MQ2 sensor shows the most responsive results to gas changes. Meanwhile, the MQ136 sensor ranks second as the most responsive sensor to measure the life span of bacteria and biofilms.
机译:在生物膜阶段开发的细菌对抗生素具有更大的抗生素,并发出具有某些特征的气体。将胰蛋白酶大豆肉汤(TSB)(Merck,德国)的一剂培养物接种到10ml胰蛋白酶大豆肉汤(TSB)(Merck,德国)中,并均化为0.5麦克兰(10-13CFU / ml)。基于已经获得的结果,通过ELISA读取器(λ595nm)检测悬浮液,气体阵列仪器上的传感器可以检测S. S.寿命的各种独特的气体模式和样品类型的变化。可以通过整个传感器跟踪提供。这是通过在每个变化中出现的独特和不同的传感器电压输出模式的出现来表示。使用PCA(主成分分析)方法的传感器输出的处理可以容纳86.45%的数据变化,包括第一组分和第二组分分别为70.4%和18.1%。通过PCA方法,可以适当地分类细菌治疗的每个变异,因此可以用来清楚地区分细菌和生物膜年龄的年龄。加载PCA图时,MQ2传感器显示最响应的气体变化。同时,MQ136传感器排名第二是最敏感的传感器,以测量细菌和生物膜的寿命。

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