Latinos have become the largest ethnic minority group in the U.S. and will become 25% of the population by 2050. The purpose of this critical review is to examine the influence of acculturation on type 2 diabetes and corresponding risk factors, including 1) dietary intake, 2) physical activity patterns, 3) smoking and alcohol consumption, and 4) obesity. Among Latinos, acculturation has been associated with obesity risk, suboptimal dietary choices including lack of breast-feeding, low intake of fruits and vegetables, a higher consumption of fats and artificial drinks containing high levels of refined sugar, smoking, and alcohol consumption. In contrast, acculturation has been positively associated with physical activity and a lower likelihood of type 2 diabetes among Latinos. However, findings have been inconsistent across acculturation indicators and appear to be strongly modified by Latino subethnicity and gender. It is important to improve existing acculturation measures available. Mexican Americans have been the target group in the majority of studies. Research in this group must continue but it is important to conduct additional research with other Latino subgroups that have been left out of most of the acculturation, lifestyles, and health outcomes research. Differences between acculturation and health-related outcomes may be confounded by socio-economic status, age, and movement from urban to rural areas. Longitudinal multivariate acculturation research is essential to disentangle these relations and to develop sound behavioral change theories that adequately predict behavioral change among Latinos.

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In the last decade, the use of multivariate statistical techniques developed for analytical chemistry has been adopted widely in food science and technology. Usually, chemometrics is applied when there is a large and complex dataset, in terms of sample numbers, types, and responses. The results are used for authentication of geographical origin, farming systems, or even to trace adulteration of high value-added commodities. In this article, we provide an extensive practical and pragmatic overview on the use of the main chemometrics tools in food science studies, focusing on the effects of process variables on chemical composition and on the authentication of foods based on chemical markers. Pattern recognition methods, such as principal component analysis and cluster analysis, have been used to associate the level of bioactive components with in vitro functional properties, although supervised multivariate statistical methods have been used for authentication purposes. Overall, chemometrics is a useful aid when extensive, multiple, and complex real-life problems need to be addressed in a multifactorial and holistic context. Undoubtedly, chemometrics should be used by governmental bodies and industries that need to monitor the quality of foods, raw materials, and processes when high-dimensional data are available. We have focused on practical examples and listed the pros and cons of the most used chemometric tools to help the user choose the most appropriate statistical approach for analysis of complex and multivariate data.

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Citrus is a major processed crop that results in large quantities of wastes and by-products rich in various bioactive compounds such as pectins, water soluble and insoluble antioxidants and essential oils. While some of those wastes are currently valorised by various technologies (yet most are discarded or used for feed), effective, non-toxic and profitable extraction strategies could further significantly promote the valorisation and provide both increased profits and high quality bioactives. The present review will describe and summarize the latest works concerning novel and greener methods for valorisation of citrus by-products. The outcomes and effectiveness of those technologies such as microwaves, ultrasound, pulsed electric fields and high pressure is compared both to conventional valorisation technologies and between the novel technologies themselves in order to highlight the advantages and potential scalability of these so-called “enabling technologies”. In many cases the reported novel technologies can enable a valorisation extraction process that is “greener” compared to the conventional technique due to a lower energy consumption and reduced utilization of toxic solvents.