Manuel Zarzo

Dr. Manuel Zarzo

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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 July 2007 in Biological Reviews
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Journal Article
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MZManuel Zarzo
Manuel Zarzo

1 April 2018 in Future Generation Computer Systems
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Journal Article
Open access
APAngel Perles
Angel Perles
EPEva Pérez-Marín
Eva Pérez-Marín
RMRicardo Mercado
Ricardo Mercado
JQJ. Damian Segrelles Quilis
J. Damian Segrelles Quilis
IBIgnacio Blanquer
Ignacio Blanquer
GFGarcía-Diego Fernando-Juan
García-Diego Fernando-Juan

1 June 2008 in Journal of Sensory Studies
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Journal Article
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MZManuel Zarzo
Manuel Zarzo

1 February 2009 in Attention, Perception, & Psychophysics
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MZManuel Zarzo
Manuel Zarzo
DSDavid T. Stanton
David T. Stanton

19 July 2006 in Chemical Senses
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MZManuel Zarzo
Manuel Zarzo
DSDavid T. Stanton
David T. Stanton
Many classifications of odors have been proposed, but none of them have yet gained wide acceptance. Odor sensation is usually described by means of odor character descriptors. If these semantic profiles are obtained for a large diversity of compounds, the resulting database can be considered representative of odor perception space. Few of these comprehensive databases are publicly available, being a valuable source of information for fragrance research. Their statistical analysis has revealed that the underlying structure of odor space is high dimensional and not governed by a few primary odors. In a new effort to study the underlying sensory dimensions of the multivariate olfactory perception space, we have applied principal component analysis to a database of 881 perfume materials with semantic profiles comprising 82 odor descriptors. The relationships identified between the descriptors are consistent with those reported in similar studies and have allowed their classification into 17 odor classes.

25 March 2011 in Sensors
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MZManuel Zarzo
Manuel Zarzo
Different psychophysical works have reported that, when a wide range of odors is assessed, the hedonic dimension is the most salient. Hence, pleasantness is the most basic attribute of odor perception. Recent studies suggest that the molecular size of a given odorant is positively correlated with its hedonic character. This correlation was confirmed in the present study, but further basic molecular features affecting pleasantness were identified by means of multiple linear regression for the compounds contained in five chemical sets. For three of them, hedonic judgments are available in the literature. For a further two chemical sets, hedonic scores were estimated from odor character descriptions based on numerical profiles. Generally speaking, fairly similar equations were obtained for the prediction of hedonic judgments in the five chemical sets, with R2 values ranging from 0.46 to 0.71. The results suggest that larger molecules containing oxygen are more likely to be perceived as pleasant, while the opposite applies to carboxylic acids and sulfur compounds.