Why the study?
Foot-and-mouth disease is highly contagious and fatal for cloven-hoofed animals, creating a need for a highly sensitive, specific, and practical method to detect FMDV because standard PCR remains impaired by low specificity, poor sensitivity, and false-positive results.
Does nano-PCR with GO-AuNPs improve the detection limit of FMDV compared to standard PCR?
Does nano-PCR with GO-AuNPs improve the detection limit of FMDV compared to standard PCR?
The use of a graphene oxide-gold nanoparticle nanocomposite in PCR improves the detection limit of foot-and-mouth disease virus by approximately 1000-fold.
Nano-PCR with GO-AuNPs may aid lab assays; leaves open clinical diagnostic utility pending validation.
The polymerase chain reaction (PCR) has become a powerful molecular diagnostic technique over the past few decades, but remains somewhat impaired due to low specificity, poor sensitivity, and false positive results. Metal and carbon nanomaterials, quantum dots, and metal oxides, can improve the quality and productivity of PCR assays. Here, we describe the ability of PCR assisted with nanomaterials (nano-PCR) comprising a nanocomposite of graphene oxide (GO) and gold nanoparticles (AuNPs) for sensitive detection of the foot-and-mouth disease virus (FMDV). Graphene oxide and AuNPs have been widely applied as biomedical materials for diagnosis, therapy, and drug delivery due to their unique chemical and physical properties. Foot-and-mouth disease (FMD) is highly contagious and fatal for cloven-hoofed animals including pigs, and it can thus seriously damage the swine industry. Therefore, a highly sensitive, specific, and practical method is needed to detect FMDV. The detection limit of real-time PCR improved by ~1000 fold when assisted by GO-AuNPs. We also designed a system of detecting serotypes in a single assay based on melting temperatures. Our sensitive and specific nano-PCR system can be applied to diagnose early FMDV infection, and thus may prove to be useful for clinical and biomedical applications.
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Kim et al. (2020) studied this question.
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