1H NMR metabolite fingerprints of grape berry: Comparison of vintage and soil effects in Bordeaux grapevine growing areas

Pereira, G. E.; Gaudillère, J.P.; Leeuwen, Cornelius van; Hilbert, Ghislaine; Maucourt, Mickaël; Deborde, Catherine; Moing, Annick; Rolin, Dominique

doi:10.1016/j.aca.2005.11.007

Cited by 158 publications

(113 citation statements)

References 29 publications

Supporting

Mentioning

107

Contrasting

Order By: Relevance

“…Furthermore, grape texture is linked to growing location, reflecting a terroir influence on grape quality (Le Moigne et al 2008a). The relevance of annual variations in climate is emphasized because these, in addition to vineyard location, typically far outweigh any changes in berry attributes introduced by cultural practices and even those arising from differences in soil conditions (van Leeuwen et al 2004, Downey et al 2006, Pereira et al 2006, Keller et al 2008.…”

Section: Effects Of Climate Vintage and Growing Location On Texturementioning

confidence: 99%

Instrumental Texture Analysis Parameters as Markers of Table-Grape and Winegrape Quality: A Review

Rolle¹,

Siret²,

Segade³

et al. 2011

Am. J. Enol. Vitic.

View full text Add to dashboard Cite

Texture analysis is a well-established analytical technique in the food industry for evaluating the mechanical and physical characteristics of both raw ingredients and finished products. Instrumental mechanical properties of table grapes, acquired using universal testing machines equipped with specific probes, may be of interest in the viticulture and postharvest sectors to recognize the potential of each variety and help satisfy market requirements. The measured parameters are related to some sensory properties and, therefore, indirectly to consumer acceptability of the product. As texture analysis is a rapid and low-cost analytical technique, it can also be favorably applied in enology as a routine tool for monitoring winegrape quality. Among the different mechanical parameters measurable, berry skin thickness and hardness are indices that reflect anthocyanin extractability and dehydration kinetics with adequate reliability. This review collects the most recent research results from grape texture studies, emphasizes the potentiality and limits of this analytical technique when applied to grape studies, and highlights trends that require further understanding.

show abstract

Section: Effects Of Climate Vintage and Growing Location On Texturementioning

confidence: 99%

Instrumental Texture Analysis Parameters as Markers of Table-Grape and Winegrape Quality: A Review

Rolle¹,

Siret²,

Segade³

et al. 2011

Am. J. Enol. Vitic.

View full text Add to dashboard Cite

show abstract

“…Phenolic compounds can be successfully used for wine authenticity assessment as they are characteristic for the type of wine and can provide information on geographical origin (Andreu-Navarro et al 2011). Gambelli and Santaroni (2004), Pereira et al (2006), Rastija et al (2009), andLi et al (2011) observed differences in the concentration of phenolic compounds in wines of different geographical origins.…”

mentioning

confidence: 99%

Authentication of Riesling wines from the Czech Republic on the basis of the non-flavonoid phenolic compounds

Pavloušek¹,

Kumšta²

2013

Czech J. Food Sci.

View full text Add to dashboard Cite

Pavloušek P., Kumšta M. (2013): Authentication of Riesling wines from the Czech Republic on the basis of the non-flavonoid phenolic compounds. Czech J. Food Sci., 31: 474-482.Eighteen non-flavonoid phenolic compounds comprising hydroxybenzoic acids, hydroxycinnamates, and stilbenes were analysed in 43 monovarietal wines originated from five wine-growing regions in the Czech Republic. The non-flavonoid phenolic compounds in wine were analysed by a HPLC method. The methods of multivariate statistical analysis were used for the wine discrimination on the basis of the geographical origin. The canonical discriminant analysis (CDA) proved the possibility to discriminate wines according to their provenance on the basis of the following parameters: protocatechuic acid, p-hydroxybenzoic acid, caftaric acid, p-coutaric acid, trans-resveratrol, and cis-resveratrol. On the basis of statistical analyses, 95.4% of the wine samples were correctly classified. The results therefore indicate that the non-flavonoid phenolic compounds can be used to discriminate the geographical origin of white wines.

show abstract

“…It linearly classifies the characteristic vector after dimensionality reduction and displays the major two-dimensional map on a PCA analysis map. In the case of the absence or lack of sample information, PCA can quickly scan all data to determine the associated features of the samples and make a conclusion based on the available information (Hansen et al, 2005;Pereira et al, 2006;Park et al, 2010].…”

Section: Results Of the Sensor Signals Of R Laevigata Samplesmentioning

confidence: 99%

Scent analysis of Rosa laevigata through metal oxide sensor array electronic nose

Chen¹,

Jian²,

Han³

et al. 2011

Rev. bras. farmacogn.

View full text Add to dashboard Cite

Abstract:The scent fingerprint of Rosa laevigata Michx., Rosaceae, samples harvested at different periods was investigated. Principal component analysis (PCA) and discriminant factor analysis (DFA) were done on the scent response values measured by an electronic nose (EN) sensor. Statistical quality control (SQC) analysis was also conducted. The R. laevigata samples were clustered into two categories after being analyzed by PCA and DFA. One cluster consisted of samples No. 1 to No. 6, and the other consisted of samples No. 7 to No. 10. The combination of EN, PCA, and DFA for scent analysis can be used for the quality control of traditional Chinese medicines.

show abstract

1H NMR metabolite fingerprints of grape berry: Comparison of vintage and soil effects in Bordeaux grapevine growing areas

Cited by 158 publications

References 29 publications

Instrumental Texture Analysis Parameters as Markers of Table-Grape and Winegrape Quality: A Review

Instrumental Texture Analysis Parameters as Markers of Table-Grape and Winegrape Quality: A Review

Authentication of Riesling wines from the Czech Republic on the basis of the non-flavonoid phenolic compounds

Scent analysis of Rosa laevigata through metal oxide sensor array electronic nose

Contact Info

Product

Resources

About