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Publicação
Data Quality: Food Description, Sampling, and Analytical Method
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| This book provides an overview of analytical procedures used for carotenoid analysis, including aspects such as data quality, extraction, and chromatographic and spectroscopic methods. | 32.26 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Accurately describing sample details is crucial for ensuring data quality in the sampling process for carotenoids food analysis. Standardized language across different data systems through common codes, previously agreed worldwide, enables global comparability and facilitates clearer food identification. Designing a sampling plan for food component studies involves planning and fieldwork phases using methods like random, stratified, selective, or convenience sampling based on study goals and resources. Factors like geographical and seasonal variations, production methods, and cultivar differences are critical considerations for accurate representative analytical results. Ensuring high-quality documented analytical carotenoid data is crucial for understanding their impact on health. Data quality could be evaluated based on criteria such as food description, sampling plan, and analytical method procedure ensuring reliable results for advancing nutritional science and public health.
Descrição
Part of the book series: Methods and Protocols in Food Science ((MPFS)
Palavras-chave
Carotenoids FoodEx2 LanguaL FoodOn Intake Health Diet Quality Criteria Food Data Evaluation Composição dos Alimentos
Contexto Educativo
Citação
In: Meléndez-Martínez, AJ. (eds). Carotenoid Analysis. Methods and Protocols in Food Science. New York, NY, Humana Press, 2025, pp 1-23. https://doi.org/10.1007/978-1-0716-4570-3_1
Editora
Human Press