Citation: Sha Liu, Xuliang He, Tao Zhang, Kaixuan Zhao, Changhu Xiao, Zengrui Tong, Lian Jin, Nongyue He, Yan Deng, Song Li, Yuan Guo, Zhu Chen. Highly sensitive smartphone-based detection of Listeria monocytogenes using SYTO9[J]. Chinese Chemical Letters, ;2022, 33(4): 1933-1935. doi: 10.1016/j.cclet.2021.11.051 shu

Highly sensitive smartphone-based detection of Listeria monocytogenes using SYTO9

Sha Liu ^{a, 1} ,
Xuliang He ^{b, 1} ,
Tao Zhang ^a ,
Kaixuan Zhao ^a ,
Changhu Xiao ^a ,
Zengrui Tong ^a ,
Lian Jin ^a ,
Nongyue He ^{a, d} ,
Yan Deng ^{a, e} ,
Song Li ^{a, e} ,
Yuan Guo ^c ,
Zhu Chen ^{a, e, *,}

a.
Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
b.
Department of General Surgery, People's Hospital of Zhuzhou City Affiliated to Changsha Medical College, Zhuzhou 412011, China
c.
Department of Laboratory, Central Hospital of Zhuzhou City, Zhuzhou 412007, China
d.
State Key Laboratory of Bioelectronics, School of Biological and Medical Engineering, Southeast University, Nanjing 210096, China
e.
National & Local Joint Engineering Research Center for Research and Technology of Advanced Packaging Materials, Zhuzhou 412007, China

chenzhu220@163.com

Received Date: 5 July 2021
Revised Date: 11 November 2021
Accepted Date: 15 November 2021
Available Online: 19 November 2021

Figures(4)

Listeriosis is caused by Listeria monocytogenes (LM) and is currently considered to be one of the leading food-borne diseases worldwide, with mortality rate of 20%~30%. Currently, detection methods for LM are time-consuming with low sensitivity, and delayed detection results. SYTO9 has a high affinity for DNA and exhibits enhanced fluorescence upon binding. Therefore, this study used SYTO9 staining and image processing to develop a rapid loop mediated isothermal amplification (LAMP) detection method for LM. Smartphone was successfully used for detecting the color change in different concentrations of LM. Besides, the optimized LAMP reaction temperature was 63 ℃ by color identification, and the limit of detection for LM was 6 copies/µL in the green channel. So, the developed method, based on image processing, is simple, sensitive and rapid, which provides a new idea and method for rapid detection of LM and other food-borne bacterial pathogens.
- Literia monocytogenes,
- Image process,
- SYTO9,
- Loop mediated isothermal amplification,
- Smartphone
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