Sensory discrimination of single hop beers by using sorting combined with profiling and intensity rating

Author:

Garrido‐Bañuelos Gonzalo12,Buica Astrid2

Affiliation:

1. Agrifood and Food, Product Design RISE Research Institutes of Sweden Göteborg Sweden

2. School of Data Science and Computational Thinking Stellenbosch University Stellenbosch South Africa

Abstract

AbstractSensory methodologies are continuously being optimized based on industry needs. Sorting is a widely used sensory method; however, it provides limited information about the uniqueness of individual products. The present work was performed on nine single‐hop beers using a combination of sorting with profiling and intensity rating (SPIR) rating to highlight the intra‐group variability and individual characteristics. Results have shown that SPIR can effectively highlight the intra‐group differences. It has also shown that a higher frequency of citation did not always correspond to a higher attribute intensity. For the considered application, the results highlighted the role of hop varieties on the sensory profile of beers. Overall sensory similarities were found between Mosaic (MO), Citra (CI), and Celeia (CE) hops. However, the use of SPIR highlighted differences between CE and the other hops. Amarillo (AM) hops showed the most distinctive profile in all cases.Practical applicationsThe use of sorting in combination with profiling and intensity rating (SPIR) rating can be a valuable tool in new product development. It is not only important to understand the overall sensory similarities and differences between groups of samples, but also unique aspects compared to similar products. The present work has shown that adding intensity to sorting and profiling can highlight the inner characteristics of individual products in a group of samples with an overall similar sensory profile.

Publisher

Wiley

Subject

Sensory Systems,Food Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3