Moderate Alcoholic Beer Consumption: The Effects on the Lipid Profile and Insulin Sensitivity of Adult Men.

Beer is the most consumed alcoholic beverage in the world. The purpose was to compare the effects of consuming alcoholic beer (AB) and nonalcoholic beer (NAB) on the biochemical blood parameters. Two beers were produced under known and controlled conditions from the same raw material, NAB (0.6%, v/v) and AB with the addition of 6% grain alcohol. Fifteen healthy adult men (aged 20 to 57 y) underwent 3 treatments (30 d per treatment). In Treatment 1 (Baseline), they followed their usual diet without drinking any alcoholic beverage; in Treatment 2, they added the daily consumption of 330 mL NAB; and in Treatment 3, they added the daily consumption of 330 mL AB. It was found that the use of AB for 30 d (16 g alcohol/d) reduced the blood insulin and fasting glucose, reducing insulin resistance. These data suggest that the daily intake of 330 mL AB could statistically change the lipid profile and insulin sensitivity of adult men. The volunteers were healthy before and remained so after the intervention, with no change in their clinical status.

Method development by GC-ECD and HS-SPME-GC-MS for beer volatile analysis.

Two methods for the extraction, identification and quantification of the highest occurrence and lowest perception threshold off-flavours in fifteen different samples of Brazilian Pilsner beers were developed. For this purpose, headspace solid phase microextraction in combination with a gas chromatography coupled to a mass spectrometric detection (HS-SPME-GC-MS) as well as headspace extraction in combination with a gas chromatography coupled to electron capture detection (HS-GC-ECD) were evaluated. The first and the second methods were used for esters and vicinal diketones analysis, respectively. All data were comprehended below the taster's threshold detection limit: ethyl acetate 39.48 ng mL(-1) (RSD mean value 4.2%), isoamyl acetate 3.88 ng mL(-1) (RSD mean value 3.4%), ethyl hexanoate 0.61 ng mL(-1) (RSD mean value 3.1%) and 2,3-butanedione 0.10 ng mL(-1) (RSD mean value 2.9%). The validated method demonstrated to be useful for the analysis of highest incidence beer off-flavours.

Effects of the combination of hydrophobic polypeptides, iso-alpha acids, and malto-oligosaccharides on beer foam stability.

The influence of hydrophobic polypeptides concentrated in beer foam, together with the composition of iso-alpha acids and the content of malto-oligosaccharides in beer on foam stability, has been investigated. The objective was to find out whether a shortage of one of these positive contributors to foam stability could be compensated for by an increased presence of another or whether optimum levels of each contributor is necessary. For that purpose, an image analysis method to evaluate beer foam quality was developed. The foam collapse time was the parameter chosen to group beers according to their foam stability. Profiles of hydrophobic polypeptides that concentrate in beer foam, iso-alpha acids, and malto-oligosaccharides of 14 beer brands were acquired by high-performance liquid chromatography. Principal component analysis (PCA) was performed to show the relationship between beer brands and its composition. Beers that contained propylene glycol alginate as a foam enhancer showed high foam stability except for one beer, which had a low content of hydrophobic polypeptides, thereby highlighting the requirement of threshold levels of hydrophobic polypeptides to obtain stable foam. The data of samples that were devoid of a foam additive were subjected to a discriminant statistical analysis. Foam stability declined in proportion to decreases in hydrophobic polypeptides and to a lesser extent to decreases in iso-alpha-acid contents. Apparently, the content of malto-oligosaccharides were found to have no major influence on foam stability. The model of discriminate analysis was found to explain 100% of the variance in data with 85.2% success in classifying all samples according to the model, suggesting that foam stability is mainly governed by the beer constituents evaluated in this study.

Separation and quantification of beer carbohydrates by high-performance liquid chromatography with evaporative light scattering detection.

An HPLC method with an evaporative light scattering detector was optimized and validated for quantification of carbohydrates in beer. The chromatographic separation was achieved using a Spherisorb NH2, 5 microm chromatographic column and gradient elution with acetonitrile/water. The determinations were performed in the linear range of 0.05-5.0 g/L for fructose, 0.05-5.0 g/L for glucose, 0.05-15.0 g/L for maltose, 0.05-10.0 g/L for maltotriose, and 0.05-5.0 g/L for maltotetraose. The detection limits were 0.005 g/L for fructose, 0.008 g/L for glucose, and 0.01 g/L for maltose, maltotriose, and maltotetraose. The reliability of the method in terms of precision and accuracy was evaluated in three beer matrices, low alcohol beer, 6% alcohol beer, and beer made with part of adjuncts (4.5% alcohol). Relative standard deviations (RSDs) ranged between 1.59 and 5.95% (n = 10), and recoveries ranged between 94 and 98.4%.