首页> 外文会议>International symposium on optoelectronic technology and application >Development of a rapid optic bacteria detecting system based on ATP bioluminescence
【24h】

Development of a rapid optic bacteria detecting system based on ATP bioluminescence

机译:基于ATP生物发光的快速细菌检测系统的开发

获取原文
获取外文期刊封面目录资料

摘要

A rapid optic bacteria detecting system based on the principle of Adenosine triphosphate(ATP) bioluminescence was presented in this paper. This system consisted of bioluminescence-based biosensor and the high-sensitivity optic meter. A photon counting photomultiplier tube (PMT) module was used to improve the detection sensitivity, and a NIOS Ⅱ/f processor based on a Field Programmable Gate Array(FPGA) was used to control the system. In this work, Micrococcus luteus were chosen as the test sample. Several Micrococcus luteus suspension with different concentration was tested by both T2011 and plate counting method. By comparing the two group results, an calibration curve was obtained from the bioluminescence intensity for Micrococcus luteus in the range of 2.3×10~2 ~ 2.3×10~6 CFU/mL with a good correlation coefficient of 0.960. An impacting Air microorganism sampler was used to capture Airborne Bacteria, and 8 samples were collected in different place. The TBC results of 8 samples by T2011 were between 10 ~ 2×10~3 cfu/mL, consistent with that of plate counting method, which indicated that 8 samples were between 10 ~ 3×10~3 cfu/mL. For total airborne bacteria count was small, correlation coefficient was poor. Also no significant difference was found between T2011 and plate counting method by statistical analyses.
机译:本文提出了一种基于腺苷(ATP)生物发光的基于腺苷(ATP)生物发光原理的快速光学细菌检测系统。该系统由基于生物发光的生物传感器和高灵敏度光学仪组成。使用光子计数光电倍增管(PMT)模块来改善检测灵敏度,并且使用基于现场可编程门阵列(FPGA)的NIOSⅡ/ F处理器来控制系统。在这项工作中,选择单调叶黄素作为测试样品。通过T2011和板计数方法测试具有不同浓度的几种微核卡悬浮液。通过比较两组结果,从细胞致发光强度的微观致发光强度为2.3×10〜2〜2.3×10〜6 cfu / ml的良好相关系数为0.960的校准曲线。使用撞击空气微生物采样器用于捕获空气中的细菌,并在不同的地方收集8个样品。 T2011的TBC结果为8〜2×10〜3 CFU / mL,与板计数方法一致,表明8个样品在10〜3×10〜3 CFU / mL之间。对于总空气传播的细菌数量小,相关系数差。 T2011和板材计数方法中也没有发现显着差异,通过统计分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号