Image Analysis of a Lateral Flow Strip Sensor for the Detection of Escherichia coli O157:H7
Image Analysis of a Lateral Flow Strip Sensor for the Detection of Escherichia coli O157:H7
复制标题
用于检测大肠杆菌 O157:H7 的侧流条传感器的图像分析
DOI:
10.5307/jbe.2013.38.4.335
复制
发表时间:
2013
影响因子:
0.8
通讯作者:
Changyeun Mo
中科院分区:
文献类型:
--
作者:
Giyoung Kim;Jihea Moon;Saetbyeol Park;Younchang Jang;Jongguk Lim;Changyeun Mo
Purpose: This study was performed to develop a lateral flow strip sensor for the detection of pathogenic Escherichia coli O157:H7 in various samples. Also, feasibility of using an image analysis method to improve the interpretation of the strip sensor was evaluated. Methods: The lateral flow strip sensor has been fabricated based on nitrocellulose lateral-flow membrane. Colloidal gold and E. coli O157:H7 antibodies were used as a tag and a receptor, respectively. Manually spotted E. coli O157:H7 antibody and anti-mouse antibody on nitrocellulose membrane were used as test and control dots, respectively. Feasibility of the lateral flow strip sensor to detect E. coli O157:H7 were evaluated with serially diluted E. coli O157:H7 cells in PBS or food samples. Test results of the lateral flow strip sensor were measured with an image analysis method. Results: The intensity of the test dot started to increase with higher concentration of the cells were introduced. The sensitivities of the sensor were both CFU/mL Escherichia coli O157:H7 spiked in PBS and in chicken meat extract, respectively. Conclusions: The lateral flow strip sensor and image analysis method could detect E. coli O157:H7 in 20 min, which is significantly quicker than conventional plate counting method.