Evaluation of Micronutrient Sensors for Food Matrices in Resource-Limited Settings: A Systematic Narrative Review
| Autor: | Jennifer L. Lotton, Jeanette Andrade, Juan E. Andrade, Shashank Gaur, Anna W. Waller |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
education.field_of_study
Government Computer science media_common.quotation_subject 010401 analytical chemistry Population Scopus 02 engineering and technology 021001 nanoscience & nanotechnology Micronutrient 01 natural sciences 0104 chemical sciences Deliverable Risk analysis (engineering) Robustness (computer science) Quality (business) 0210 nano-technology education Reliability (statistics) Food Science media_common |
| Zdroj: | Journal of Food Science. 83:1792-1804 |
| ISSN: | 0022-1147 |
| DOI: | 10.1111/1750-3841.14202 |
| Popis: | In resource‐limited settings, mass food fortification is a common strategy to ensure the population consumes appropriate quantities of essential micronutrients. Food and government organizations in these settings, however, lack tools to monitor the quality and compliance of fortified products and their efficacy to enhance nutrient status. The World Health Organization has developed general guidelines known as ASSURED (Affordable, Sensitive, Specific, User‐friendly, Rapid and Robust, Equipment‐free, and Deliverable to end‐users) to aid the development of useful diagnostic tools for these settings. These guidelines assume performance aspects such as sufficient accuracy, reliability, and validity. The purpose of this systematic narrative review is to examine the micronutrient sensor literature on its adherence towards the ASSURED criteria along with accuracy, reliability, and validation when developing micronutrient sensors for resource‐limited settings. Keyword searches were conducted in three databases: Web of Science, PubMed, and Scopus and were based on 6‐point inclusion criteria. A 16‐question quality assessment tool was developed to determine the adherence towards quality and performance criteria. Of the 2,365 retrieved studies, 42 sensors were included based on inclusion/exclusion criteria. Results showed that improvements to the current sensor design are necessary, especially their affordability, user‐friendliness, robustness, equipment‐free, and deliverability within the ASSURED criteria, and accuracy and validity of the additional criteria to be useful in resource‐limited settings. Although it requires further validation, the 16‐question quality assessment tool can be used as a guide in the development of sensors for resource‐limited settings. |
| Databáze: | OpenAIRE |
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