Inonu University, Department of Molecular Biology and Genetics, 44280 Malatya, Turkey.
Inonu University, Department of Molecular Biology and Genetics, 44280 Malatya, Turkey.
J Virol Methods. 2023 Oct;320:114774. doi: 10.1016/j.jviromet.2023.114774. Epub 2023 Jul 17.
SARS-CoV-2 is still threat and mostly used detection method is real time reverse transcriptase polymerase chain reaction (rRT-PCR) for the open reading frame (Orf1ab), RNA-dependent RNA polymerase (RdRp), nucleocapsid (N) and envelope (E) genes of virus. However, rRT-PCR may have false negative rate for the nucleic acid detection. Since the RdRp/Orf1ab has high sensitivity for the molecular detection, two sandwich models, Model 1A-Model 1B, based on hybridization on lateral flow assay (LFA) were designed here and applied with the synthetic and clinical samples of RdRp/Orf1ab. In this purpose colloidal gold nanoparticles (AuNPs) were used as label. Membranes having different flow rate, three oligonucleotide probe concentrations and running buffers were used. Although synthetic target sequence was recognized by all the LFAs, PCR products obtained from either the synthetic plasmid DNA or oro/nasopharyngeal swabs were detected by Model 1 A using W12 membrane. Designed strip assays detected the RdRp/Orf1ab of the clinical samples as 100% sensitivity and specifity. It means that they might be used for the detection of virus and can be modified for the recognition of mutant genes of virus. These findings also demonstrated the importance of membranes, sandwich models, probe concentrations and sample contents for developing LFAs for viral detection.
SARS-CoV-2 仍然是一种威胁,大多数常用的检测方法是实时逆转录聚合酶链反应(rRT-PCR),用于检测病毒的开放阅读框(Orf1ab)、RNA 依赖性 RNA 聚合酶(RdRp)、核衣壳(N)和包膜(E)基因。然而,rRT-PCR 可能对核酸检测存在假阴性率。由于 RdRp/Orf1ab 对分子检测具有高灵敏度,因此设计了基于杂交的侧向流动分析(LFA)的两种夹心模型,即模型 1A-模型 1B,并应用于 RdRp/Orf1ab 的合成和临床样本。为此,胶体金纳米颗粒(AuNPs)被用作标记物。使用了具有不同流速、三种寡核苷酸探针浓度和运行缓冲液的膜。尽管所有 LFAs 都能识别合成的靶序列,但使用 W12 膜的模型 1A 可检测到来自合成质粒 DNA 或口咽拭子的 PCR 产物。设计的条带检测方法对临床样本的 RdRp/Orf1ab 具有 100%的灵敏度和特异性。这意味着它们可能用于病毒检测,并可针对病毒的突变基因进行修改。这些发现还表明了膜、夹心模型、探针浓度和样品含量对于开发用于病毒检测的 LFAs 的重要性。