Citation: Ren Shen, Yanmei Fang, Chunxiao Yang, Quande Wei, Pui-In Mak, Rui P. Martins, Yanwei Jia. UV-assisted ratiometric fluorescence sensor for one-pot visual detection of Salmonella[J]. Chinese Chemical Letters, ;2025, 36(4): 110143. doi: 10.1016/j.cclet.2024.110143 shu

UV-assisted ratiometric fluorescence sensor for one-pot visual detection of Salmonella

Ren Shen ^{a, c} ,
Yanmei Fang ^b ,
Chunxiao Yang ^b ,
Quande Wei ^b ,
Pui-In Mak ^{a, c} ,
Rui P. Martins ^{a, c, d} ,
Yanwei Jia ^{a, c, e, *,}

a.
State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, China
b.
Zhuhai Center for Disease Control and Prevention, Zhuhai 519000, China
c.
Faculty of Science and Technology – ECE, University of Macau, Macau, China
d.
On Leave from Instituto Superior Técnico, Universidade de Lisboa, Portugal
e.
MoE Frontiers Science Center for Precision Oncology, University of Macau, Macau, China

yanweijia@um.edu.mo

Received Date: 3 April 2024
Revised Date: 7 June 2024
Accepted Date: 19 June 2024
Available Online: 20 June 2024

Figures(6)

Rapid diagnosis of Salmonella is crucial for the effective control of food safety incidents, especially in regions with poor hygiene conditions. Polymerase chain reaction (PCR), as a promising tool for Salmonella detection, is facing a lack of simple and fast sensing methods that are compatible with field applications in resource-limited areas. In this work, we developed a sensing approach to identify PCR-amplified Salmonella genomic DNA with the naked eye in a snapshot. Based on the ratiometric fluorescence signals from SYBR Green Ⅰ and Hydroxyl naphthol blue, positive samples stood out from negative ones with a distinct color pattern under UV exposure. The proposed sensing scheme enabled highly specific identification of Salmonella with a detection limit at the single-copy level. Also, as a supplement to the intuitive naked-eye visualization results, numerical analysis of the colored images was available with a smartphone app to extract RGB values from colored images. This work provides a simple, rapid, and user-friendly solution for PCR identification, which promises great potential in molecular diagnosis of Salmonella and other pathogens in field.
- Bacteria detection,
- Polymerase chain reaction,
- Naked-eye visualization,
- Ratiometric fluorescence,
- Smartphone app
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