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Smartphone-based autofluorescence imaging to detect bacterial species on laboratory surfaces
Analyst ( IF 3.6 ) Pub Date : 2022-05-24 , DOI: 10.1039/d2an00358a Bailey C Buchanan 1 , Babak Safavinia 1 , Lillian Wu 1 , Jeong-Yeol Yoon 1
Analyst ( IF 3.6 ) Pub Date : 2022-05-24 , DOI: 10.1039/d2an00358a Bailey C Buchanan 1 , Babak Safavinia 1 , Lillian Wu 1 , Jeong-Yeol Yoon 1
Affiliation
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The potential of bacterial contamination is commonly seen in biological and clinical laboratory surfaces, creating a need to detect the presence of bacteria on a surface. Various bacterial species have been found to naturally exist on surfaces, including Escherichia coli, Salmonella Typhimurium, and Staphylococcus aureus that were investigated in this study. Bacterial presence was identified from laboratory surfaces using a smartphone and low-cost components without culturing or staining. Autofluorescence from bacteria was quantified using a 405 nm LED as an excitation light source. A low-cost acrylic film could isolate the autofluorescence emission. ImageJ was used to process and analyze the images and quantify the emitted autofluorescence signal. This imaging platform successfully detected the presence of all three bacterial species from the heavily used laboratory surfaces. A trend of decreasing fluorescence signal was observed with decreasing bacterial concentration, and the limit of detection was 104 CFU cm−2. It could also distinguish from tap water, protein (bovine serum albumin), and NaCl solutions. This preliminary work emphasizes the ability to detect autofluorescence signals of bacteria and non-microbial surface contaminants using a cost-effective and straightforward imaging platform.
中文翻译：
基于智能手机的自体荧光成像检测实验室表面的细菌种类
细菌污染的可能性常见于生物和临床实验室表面，因此需要检测表面上是否存在细菌。已发现表面上天然存在多种细菌，包括大肠杆菌、鼠伤寒沙门氏菌和金黄色葡萄球菌在这项研究中进行了调查。使用智能手机和低成本组件从实验室表面识别细菌的存在，无需培养或染色。使用 405 nm LED 作为激发光源对来自细菌的自发荧光进行量化。低成本的丙烯酸薄膜可以隔离自发荧光。ImageJ 用于处理和分析图像并量化发射的自发荧光信号。该成像平台成功地从大量使用的实验室表面检测到所有三种细菌种类的存在。随着细菌浓度的降低，荧光信号呈下降趋势，检测限为10 4 CFU cm -2. 它还可以与自来水、蛋白质（牛血清白蛋白）和 NaCl 溶液区分开来。这项初步工作强调了使用具有成本效益且直接的成像平台检测细菌和非微生物表面污染物的自发荧光信号的能力。
更新日期：2022-05-24
中文翻译：
基于智能手机的自体荧光成像检测实验室表面的细菌种类
细菌污染的可能性常见于生物和临床实验室表面，因此需要检测表面上是否存在细菌。已发现表面上天然存在多种细菌，包括大肠杆菌、鼠伤寒沙门氏菌和金黄色葡萄球菌在这项研究中进行了调查。使用智能手机和低成本组件从实验室表面识别细菌的存在，无需培养或染色。使用 405 nm LED 作为激发光源对来自细菌的自发荧光进行量化。低成本的丙烯酸薄膜可以隔离自发荧光。ImageJ 用于处理和分析图像并量化发射的自发荧光信号。该成像平台成功地从大量使用的实验室表面检测到所有三种细菌种类的存在。随着细菌浓度的降低，荧光信号呈下降趋势，检测限为10 4 CFU cm -2. 它还可以与自来水、蛋白质（牛血清白蛋白）和 NaCl 溶液区分开来。这项初步工作强调了使用具有成本效益且直接的成像平台检测细菌和非微生物表面污染物的自发荧光信号的能力。
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