啤酒花是啤酒酿造的主要原料之一。由于国内市场啤酒花存在不同程度的掺杂现象，均一度不高，对啤酒产品质量的稳定造成了一定影响，因此对商业啤酒花进行纯度检测势在必行。研究基于已知数据库中啤酒花的基因组信息和测序信息设计引物，筛选出了可以区分7个啤酒花品种的8个多态性良好的SNP位点。并基于竞争性等位基因特异性PCR（Kompetitive Allele Specific PCR，KASP）技术，利用筛选到的特异SNP标记对8份预混样品与2份企业送检样品进行了检测。结果表明，该技术能对混杂程度低至5%的啤酒花样品进行有效鉴定，可以满足企业对实际啤酒花样品进行检测评价的要求。研究结果完善了啤酒花的SNP数据库，为啤酒企业对于原料质量的把控提供了有效的技术手段。

Hops is an important raw material in beer brewing industries. However, the adulteration of the commercial hops has seriously impact the stability of beer quality. Therefore, it is necessary to develop a robust purity detection method for commercial hops. Based on the known genomic database online and sequencing information of this study, primers were designed to amplify the target SNP markers. The resulting 8 polymorphic SNP loci that could distinguish 7 hops cultivars were screened and confirmed. Using Kompetitive allele specific PCR (Kompetitive Allele Specific PCR, KASP) technology based on SNP(Single Nucleotide Polymorphisms), 2 corporate samples and 8 pre-mixed samples were well characterized. The results showed that adulterated hops lower than 5% could be identified using this method. This method can be used to monitor the quality of raw materials in beer and other relative food industries in the future.