In this work, different types of honey were characterized based on their palynological and biochemical characteristics. A mellisopalynological analysis was performed to authenticate the botanical origin of the honey samples. According to this method, the honey types were classified in: acacia (n = 10), linden (n = 10), and rape (n = 10). This article also reports the phenols content, the flavonoids content, and the antioxidant activity of honey samples. The highest level of antioxidant activity was recorded for linden honeys and the lowest for acacia honeys. The multivariate analysis demonstrated to be an important tool in classification and discrimination between different honeys concerning the palynological and biochemical properties.
Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. First, a literature review was performed to get an insight on existing instruments that assess the quality of cohort, case-control, and cross-sectional studies and dietary measurement. Second, 2 face-to-face workshops were organized to determine the study characteristics that affect data quality. Third, consensus on the data descriptors and controlled vocabulary was obtained. From 4884 papers retrieved, 26 relevant instruments, containing 164 characteristics for study design and 93 characteristics for measurements, were selected. The workshop and consensus process resulted in 10 descriptors allocated to “study design” and 22 to “measurement” domains. Data descriptors were organized as an ordinal scale of items to facilitate the identification, storage, and querying of nutrition data. Further integration of an Ontology for Nutrition Studies will facilitate interoperability of data repositories.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.