Zhou Shuqing, Jin Min, Yin Jing, Shi Danyang, Li Haibei, Gao Zhixian, Chen Zhengshan, Yang Zhongwei, Chen Tianjiao, Wang Huaran, Li Junwen, Yang Dong
Military Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.
Foods. 2024 Sep 19;13(18):2967. doi: 10.3390/foods13182967.
Human noroviruses (HuNoVs), the most prevalent viral contaminant in food, account for a substantial proportion of nonbacterial gastroenteritis cases. Extensive work has been focused on the diagnosis of HuNoVs in clinical samples, whereas the availability of sensitive detection methods for their detection in food is lacking. Here, we developed a virus enrichment approach utilizing graphene-based nanocomposites (CTAB-rGO-FeO) that does not rely on large instruments and is suitable for on-site food pretreatment. The recovery efficiency of the developed virus enrichment procedure for serially diluted GII.4 norovirus ranged from 10.06 to 72.67% in strawberries and from 2.66 to 79.65% in oysters. Furthermore, we developed a real-time recombinase polymerase amplification (real-time RPA) assay, which can detect as low as 1.22 genome copies µL of recombinant plasmid standard and has no cross-reactivity with genomes of astrovirus, rotavirus, adenovirus, and MS2 bacteriophage. Notably, the combined virus enrichment and real-time RPA detection assay enhanced the detection limits to 2.84 and 37.5 genome copies g in strawberries and oysters, respectively, compared to those of qPCR. Our strategy, the graphene-based virus enrichment method combined with real-time RPA, presents a promising tool for sensitively detecting HuNoVs in food samples.
人诺如病毒(HuNoVs)是食品中最常见的病毒污染物,在非细菌性肠胃炎病例中占很大比例。大量工作集中在临床样本中HuNoVs的诊断上,而缺乏用于在食品中检测它们的灵敏检测方法。在此,我们开发了一种利用基于石墨烯的纳米复合材料(CTAB-rGO-FeO)的病毒富集方法,该方法不依赖大型仪器,适用于现场食品预处理。所开发的病毒富集程序对系列稀释的GII.4诺如病毒的回收率在草莓中为10.06%至72.67%,在牡蛎中为2.66%至79.65%。此外,我们开发了一种实时重组酶聚合酶扩增(实时RPA)检测方法,该方法可检测低至1.22个基因组拷贝/μL的重组质粒标准品,并且与星状病毒、轮状病毒、腺病毒和MS2噬菌体的基因组无交叉反应。值得注意的是,与qPCR相比,病毒富集和实时RPA联合检测方法分别将草莓和牡蛎中的检测限提高到了2.84和37.5个基因组拷贝/g。我们的策略,即基于石墨烯的病毒富集方法与实时RPA相结合,为灵敏检测食品样本中的HuNoVs提供了一种有前景的工具。