Relationships of overall estery aroma character in lagers with volatile headspace congener concentrations

J.R. Piggott, I. Techakriengkrai, A. Paterson, B. Taidi

Research output: Contribution to journalArticle

6 Citations (Scopus)
22 Downloads (Pure)

Abstract

In lager beers the intensity of “estery” aroma character is re-garded as an important component of sensory quality, but its origins are somewhat uncertain. Overall “estery” aroma intensity was predicted from capillary gas chromatographic (GC) data following solid phase micro extraction (SPME) of headspaces. Estery character was scored in 23 commercial lagers using rank-rating, allowing assessors (13) constant access to a range of appropriate standards. From univariate data analysis, all asses-sors behaved similarly and lagers fell into three significantly different groups: low (1), high (1) and intermediate (21). The quantification of 36 flavour volatiles by SPME of headspaces was reproducible and principal component analysis explained 91% total variance. Multiple linear regression could utilise only a restricted (26) set of flavour volatiles, whereas partial least square regression, that considered all flavour components, showed significant differences and improved prediction. How-ever, an artificial neural network that could compensate for non-linearities and interactions in ester perception gave the most robust prediction at R2 = 0.88.
Original languageEnglish
Pages (from-to)41-49
Number of pages9
JournalJournal of the Institute of Brewing
Volume112
Issue number1
Publication statusPublished - 2006

Keywords

  • artificial neural network
  • correlation rank rating
  • sensory instrumental
  • least square regression
  • par-tial
  • beer sensory quality
  • estery aroma character
  • volatile headspace
  • lagers

Fingerprint Dive into the research topics of 'Relationships of overall estery aroma character in lagers with volatile headspace congener concentrations'. Together they form a unique fingerprint.

  • Cite this