Innovative analytical chemistry for monitoring wine production

This study monitored concentration changes in the major constituents of wine during its production, through the development of new and innovative methodologies for a range of analytical instrumentation. Chemometrics (statistical analysis) was employed to enhance data interpretation, which provided insight into the reactions occurring between the key chemical species present.

The ecological modernisation of the Yalumba Wine Company

The thesis reports on the strategic environmental assessment of Yalumba's 'Commitment to sustainable winemaking' programme. The case study identified the benefits, as well as shortcomings, of the wine firm's commitment to sustainability in the context of plausible future scenarios under the influence of various drivers of change, prominent amongst which was climate change.

Partial least squares and principal components analysis of wine vintage by high performance liquid chromatography with chemiluminescence detection

HPLC with acidic potassium permanganate chemiluminescence detection was employed to analyse 17 Cabernet Sauvignon wines across a range of vintages (1971–2003). Partial least squares regression analysis and principal components analysis was used in order to investigate the relationship between wine composition and vintage. Tartaric acid, vanillic acid, catechin, sinapic acid, ethyl gallate, myricetin, procyanadin B and resveratrol were found to be important components in terms of differences between the vintages.

The relevance and irrelevance of the brand for small and medium wine enterprises

Given the proliferation of wine brands, developing a brand without understanding its impact on wine choice is a risky business; particularly for SMEs with limited financial resources.

This paper fills an important gap in the wine marketing literature, particularly as it relates to SMEs in the sector, by investigating the effect of the brand on wine choice. Surveying a range of wine consumers, it was found that while the brand was relevant in wine choice the weighted importance of the brand elements changed across consumption situations. This novel finding should assist SMEs to grow their businesses beyond the traditional cellar door.

Does brand influence wine purchase?

Given the proliferation of brands in the wine market, positioning a wine on the basis of its brand is becoming a priority for winemakers. However, developing a brand without understanding its impact on purchase is risky business. This study investigates the influence of the brand on wine purchase. The results indicate that the connoisseur is more likely to rely on the brand in wine purchase. Whereas the aspirational consumer is less likely to be influenced by the brand; and more likely to make wine purchase decisions on the basis of the label design and perceived personality.

Improved 2D‐HPLC of red wine by incorporating pre‐process signal‐smoothing algorithms

Twomultidimensional HPLC separations of an Australian red wine are presented, >70% of the available separation space was used. A porous graphitic carbon (PGC) stationary phase was used as the first dimension in both separations with both RP core–shell and hydrophilic interaction chromatography fully porous columns used separately in the second dimension. To overcome peak analysis problems caused by signal noise and low detection limits, the data were pre-processed with penalised least-squares smoothing. The PGC × RP combination separated 85 peaks with a spreading angle of 71 and the PGC × hydrophilic interaction chromatography separated 207 peaks with a spreading angle of 80. Both 2D-HPLC steps were completed in 76 min using a comprehensive stop-and-go approach. A smoothing step was added to peak-picking processes and was able to greatly reduce the number of false peaks present due to noise in the chromatograms. The required thresholds were not able to ignore the noise because of the small magnitude of the peaks; 1874 peaks were located in the non-smoothed PGC × RP separation that reduced to 227 peaks after smoothing was included.