Time-resolved fluorescence resonance energy transfer-based lateral flow immunoassay using a raspberry-type europium particle and a single membrane for the detection of cardiac troponin I

2020 ◽  
Vol 163 ◽  
pp. 112284 ◽  
Author(s):  
Kyung Won Lee ◽  
Ka Ram Kim ◽  
Hyeong Jin Chun ◽  
Kwan Young Jeong ◽  
Dong-Ki Hong ◽  
...  
Biochemistry ◽  
2005 ◽  
Vol 44 (11) ◽  
pp. 4312-4321 ◽  
Author(s):  
Olivier Dalmas ◽  
Marie-Ange Do Cao ◽  
Miguel R. Lugo ◽  
Frances J. Sharom ◽  
Attilio Di Pietro ◽  
...  

2007 ◽  
Vol 5 (3) ◽  
pp. 363-372 ◽  
Author(s):  
Pierre-Eloi Imbert ◽  
Vincent Unterreiner ◽  
Daniela Siebert ◽  
Hanspeter Gubler ◽  
Christian Parker ◽  
...  

Toxins ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 292
Author(s):  
Hyun-Kyung Oh ◽  
Hyou-Arm Joung ◽  
Minhyuk Jung ◽  
Hohjai Lee ◽  
Min-Gon Kim

The detection of mycotoxins is crucial because of their toxicity in plants, animals, and humans. It is very important to determine whether food products are contaminated with mycotoxins such as ochratoxin A (OTA), as mycotoxins can survive heat treatments and hydrolysis. In this study, we designed a fluorescence resonance energy transfer (FRET)-based system that exploits antibody-antigen binding to detect mycotoxins more rapidly and easily than other currently available methods. In addition, we were able to effectively counteract the matrix effect in the sample by using a nitrocellulose membrane that enabled fluorescence measurement in coffee samples. The developed FRET on lateral flow immunoassay (FRET-LFI) system was used to detect OTA at a limit of detection (LOD) of 0.64 ng∙mL−1, and the test can be completed in only 30 min. Moreover, OTA in coffee samples was successfully detected at a LOD of 0.88 ng∙mL−1, overcoming the matrix effect, owing to the chromatographic properties of the capillary force of the membrane. We believe that the developed system can be used as a powerful tool for the sensitive diagnosis of harmful substances such as mycotoxins and pesticides for environmental and food quality control monitoring.


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