In the context of economic crises and inflationary pressures, consumers often rely on discounted food products to manage their monthly budgets. This study aims to explore how socio-demographic factors are associated with Romanian consumers’ perception of food promotions. Data were collected from 1060 respondents, and the analysis was conducted using R version 4.4.2, applying both descriptive and inferential statistical methods, including Pearson’s chi-square test and multinomial logistic regression. The Pearson’s chi-square test revealed significant differences in consumer responses based on all socio-demographic factors examined, except for residence. Males, married individuals, those with higher education, and higher net incomes were generally more cautious about promotions, while younger consumers (aged 18–24) showed greater receptiveness. The multinomial logistic regression further identified significant predictors and estimated their impact on consumers’ perception of food promotions. We found that gender, marital status, education level, and age were strong predictors, while income had only a quadratic impact, and residence showed no statistically significant outcome. These findings offer valuable insights for shaping marketing strategies and highlight the role of socio-demographic factors in shaping consumer perceptions toward food promotions.

In recent years, people have become increasingly interested in adopting a healthy diet, which also extends to healthy snacks, such as chips. Understanding the interplay of factors that influence the preference decisions concerning food products is very helpful in market segmentation for identifying specific groups of consumers with similar needs. This study aims to obtain a better understanding of Romanian consumers’ preference for organic vegetable chips vs. classic potato chips. The research involved a transversal, cross-sectional, descriptive, exploratory, and correlational design. Data were collected based on a questionnaire (1060 participants) and processed with the SPSS 22 program, using the Pearson chi-square test and binary logistic regression as statistical procedures. Significant differences were found regarding the distribution of the respondents who prefer organic vegetable chips vs. classic potato chips based on socio-demographic characteristics. The results of the binary logistic regression analysis (χ² = 102,906, df = 22, N = 909, p < 0.001) indicate that education level and frequency of consumption have a statistically significant impact on the preference for organic vegetable chips. The obtained results can contribute to a better understanding of Romanian consumers’ preferences, acting as a knowledge stage in the adoption of a healthy eating style.

Ochratoxin A (OTA) is a nephrotoxic mycotoxin that commonly contaminates maize, posing significant health risks to both poultry and humans. In this study, a rapid and sensitive method utilizing ultra-performance liquid chromatography coupled with fluorescence detection (UPLC-FLD) was developed for the quantification of OTA levels in maize. The method utilizes immunoaffinity column purification for improved specificity. Accuracy and precision were validated in line with European Union Reference Laboratory (EURL-MP) guidelines, meeting regulatory standards for linearity, trueness, detection and quantification limits, precision, and uncertainty, as per European Commission Regulation (EC) No. 401/2006 and its amendments. The method demonstrated an average recovery rate of 116.78% for maize, with RSD_wR values (within-laboratory reproducibility) of 12.72%. Furthermore, OTA occurrence and its possible effects were investigated in several farms in South Romania, where necropsy and histopathological analyses of poultry revealed severe kidney damage, including renal tubular degeneration.

Nutrition is a fundamental aspect of consumer behavior, closely linked to the satisfaction of basic household needs and strategies for purchasing food products. This study aimed to examine how fundamental food needs—specifically survival (daily food) and food security (food stocks)—shape purchasing behaviors, enabling the identification of vulnerable consumer segments and the delineation of patterns useful for producers and retailers. Data were collected through a cross-sectional survey (N = 1060) and analyzed using the Rao & Scott-adjusted Pearson chi-square test (R, version 4.4.3), considering key socio-demographic factors including gender, age, educational level, marital status, residence, and income. Results indicate that gender, age, and education significantly influence food purchases driven by the need for food security, whereas marital status is a significant factor only for survival-related purchases. Differences observed in other contexts were not statistically significant. Additionally, two multinomial logistic regression models were developed to predict consumer food purchases driven by fundamental needs, demonstrating high explanatory power. Each socio-demographic factor emerged as a significant predictor for at least one response category on the Likert scale, and the relative influence of each predictor was quantified. These models provide actionable insights for marketing strategies, including the identification of optimal store locations and the adjustment, diversification, or optimization of product ranges based on the characteristics of specific consumer segments and geographic areas.

Research background. Recently, consumers have been increasingly interested in highly nutritional and health-promoting products in the form of functional foods that are produced using environmentally friendly processes as part of the circular economy. Therefore, much research has been carried out related to the valorisation of waste generated during the processing of food, especially fruit and vegetables, commonly referred to as by-products. These by-products consist of peels, seeds, stems or pomace, which have been shown to have valuable nutritional properties (high content of polyphenols, vitamins, antioxidants, etc.). Experimental approach. Considering these aspects, the aim of this study is to characterise three types of by-products of apple processing, namely peel, pulp pomace and whole fruit pomace, from a nutritional point of view. The total content of polyphenols, antioxidant activity, ascorbic acid (vitamin C) and phenolic content were determined in nine apple varieties from two harvest years (2020 and 2021) during 9 months of storage. Results and conclusions. The results showed that apple peel had good nutritional properties, in contrast to the pulp or the whole fruit, which are often removed during apple processing. Therefore, the analysed by-products are suitable candidates for application in the food industry for the development of new products enriched with bioactive compounds. Novelty and scientific contribution. In this study, nine varieties of organic apples were analysed and the nutritional parameters were determined. The phenolic compounds of the studied apple by-products were analysed for possible reuse of apple processing waste.