Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractIdentifying thermal breakdown products of thermoplastics    Next AbstractInfluence of Sunlight Incidence and Fruit Chemical Features on Oviposition Site Selection in Mango by Anastrepha obliqua: Implications for Management »

J Agric Food Chem


Title:Determination of the age of sherry wines by regression techniques using routine parameters and phenolic and volatile compounds
Author(s):Guillen DA; Palma M; Natera R; Romero R; Barroso CG;
Address:"Departamento de Quimica Analitica, Facultad de Ciencias, Universidad de Cadiz, Poligono Rio San Pedro s/n, Post Office Box 40, 11510 Puerto Real, Cadiz, Spain. dominico.guillen@uca.es"
Journal Title:J Agric Food Chem
Year:2005
Volume:53
Issue:7
Page Number:2412 - 2417
DOI: 10.1021/jf048522b
ISSN/ISBN:0021-8561 (Print) 0021-8561 (Linking)
Abstract:"This paper describes a study of the possibility of obtaining regression models by means of partial least squares (PLS) and multiple linear regression (MLR) that would enable us to correlate a series of parameters, such as the concentration of short-chain organic acids, higher alcohols, and phenolic compounds with the age of vintage Sherry wines or 'anadas'. The aim of this study is to characterize how these parameters evolve with aging. If this could be done, it would then be possible to guarantee the age of such wines using objective variables. A PLS regression model was established that allows the age to be predicted with a mean deviation of 1.6 years with respect to the age of the wines. In the case of the MLR, a model with 6 variables was obtained that gives a mean deviation of 3.3 years in the predictions"
Keywords:Least-Squares Analysis Linear Models Phenols/*analysis Regression Analysis Time Factors Volatilization Wine/*analysis;
Notes:"MedlineGuillen, Dominico A Palma, Miguel Natera, Ramon Romero, Ricardo Barroso, Carmelo G eng 2005/03/31 J Agric Food Chem. 2005 Apr 6; 53(7):2412-7. doi: 10.1021/jf048522b"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 17-11-2024