Chemical Fingerprint of Non-aged Artisanal Sugarcane Spirits Using Kohonen Artificial Neural Network

This study focuses on the determination of the chemical profile of 24 non-aged Brazilian artisanal sugarcane spirits (cachaça) samples through chromatographic quantification and chemometric treatment via principal component analysis (PCA) and Kohonen’s neural network. In total, forty-seven (47) chemical compounds were identified in the samples of non-aged artisanal cachaça, in addition to determining alcohol content, volatile acidity, and copper. For the PCA of the chemical compounds’ profile, it could be observed that the samples were grouped into seven groups. On the other hand, the variables’ bearings were grouped together, making it difficult to separate the components in relation to the sample groups and reducing the chances of obtaining all the necessary information. However, by using a Kohonen’s neural network, samples were grouped into eight groups. This tool proved to be more accurate in the groups’ formation. Among the chemical classes of the compounds observed, esters stood out, followed by alcohols, acids, aldehydes, ketones, phenol, and copper. The abundance of esters in these samples may suggest that these compounds would be part of the regional standard for cachaças produced in the region of Salinas, Minas Gerais.

Towards Sustainable Private Labels—What is the Consumer Behavior Relating to Private Labels in the UK and Poland?

Consumer behavior towards private labels (PLs) is constantly changing, accompanied by the development from generic products, offered at very low prices, towards sustainable PLs. Our study aimed to analyze the behavior of British and Polish consumers towards PLs of the retail chains. To achieve this, special attention was given to the following issues: frequency of purchasing PLs by food categories, motives for purchasing PL products, opinions of the current development of PLs, and length of the period of purchasing products under PLs. We also presented the socioeconomic features of the Polish and British consumers purchasing PL products using a correspondence graph. Our research was conducted using a sample of 500 adults from Poland and 500 adults from the UK and the Computer-Assisted Web Interviewing method (CAWI) was used. The questionnaire was addressed only to adults who declared that they purchase PL products. For a detailed analysis of consumer choices and service quality assessment, we used Pearson’s chi-square test, as well as the Kohonen’s neural network and multi-dimensional cluster analysis. We have divided the sample population into 4 clusters based on 6 factors, characterizing households: education level, income, household residence, age, gender, and period of buying PL products. Our study indicates that Polish consumers are more likely to pay attention to lower prices for PLs, while British consumers point quality compared to manufacturers’ brands. In the opinion of Polish consumers, an improvement in quality is only just beginning. This means that PLs available on the British market are characterized by a higher stage of development towards sustainable PLs.