| Literature DB >> 30797355 |
Vagner Bezerra Dos Santos1, Emelle K N da Silva2, Larissa M A de Oliveira2, Willian Toito Suarez3.
Abstract
In this work, we propose a method that employed a smartphone to capture images obtained from a colorimetric spot test to determine ascorbic acid (AA) in Brazilian Amazon native and exotic fruits. The spot test reaction was based on reduction of Fe(III) by AA and further complexation with 1,10-phenanthroline. After optimization, the limit of detection was 8.5 × 10-7 mol L-1. Brazilian Amazon native fruits such as bacuri, cupuaçu, muruci, yellow mombin, as well as others as cashew, mango, orange and passion fruit, were analyzed. In order to determine the accuracy of this method, iodometric titration was used; results were in close agreement with a confidence level of 95% (paired t-test). Moreover, recoveries ranged from 87.1 to 116%. The method is economic, environmentally friendly, and portable, and might useful for small producers and family agriculture businesses unable to afford specialized laboratory analysis in the north region of Brazilian Amazon.Entities:
Keywords: Acetic acid (PubChem CID: 176); Amazon native and exotic fruits; Ascorbic acid; Ascorbic acid (PubChem CID: 54670067); Citric acid; Digital image analysis; Ferric nitrate (PubChem CID: 25251); Fucose (PubChem CID: 17106); Green chemistry; Iodine (PubChem CID: 807); Malic acid; Orthophenanthroline (PubChem CID: 1318); Potassium iodide (PubChem CID: 4875); Smartphone; Sodium acetate (PubChem CID: 517045); Sodium thiosulphate (PubChem CID: 24477); Starch (PubChem CID: 24836924); Sulfuric acid (PubChem CID: 1118)
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Year: 2019 PMID: 30797355 DOI: 10.1016/j.foodchem.2019.01.167
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514