Literature DB >> 30309524

Point-of-use detection of ascorbic acid using a spectrometric smartphone-based system.

Miguel Ángel Aguirre1, Kenneth D Long2, Antonio Canals3, Brian T Cunningham4.   

Abstract

A rapid and portable analytical methodology has been developed for ascorbic acid (Vitamin C) quantification from aqueous samples using a spectrometric smartphone-based system for the first time. The method employs point-of-use approaches both for sample preparation and sample measurement, demonstrating the capability for mobile quality control of pharmaceutical and food products. Our approach utilizes an oxidation-reduction reaction between ascorbic acid and methylene blue, followed by a dispersive liquid-liquid microextraction (DLLME) to extract the aqueous-phase methylene blue into organic media. Then, a back-extraction procedure is employed to transfer the methylene blue to aqueous media, followed by analysis of the sample's absorption spectrum using the spectrometric smartphone-based system. The DLLME and back-extraction procedures are optimized by use of a two-step multivariate optimization strategy. Finally, vitamin C supplements and orange juice are used as real-world samples to assess the applicability of the smartphone-based method, which is successfully compared with the standard laboratory-based approach.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Multivariate optimization; Orange juice; Point-of-use detection; Smartphone-based system; Vitamin C quantification; Vitamin C supplements

Mesh:

Substances:

Year:  2018        PMID: 30309524      PMCID: PMC6188657          DOI: 10.1016/j.foodchem.2018.08.002

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  26 in total

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4.  Determination of antioxidant capacity of diverse fruits by electron spin resonance (ESR) and UV-vis spectrometries.

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Journal:  Food Chem       Date:  2016-11-09       Impact factor: 7.514

Review 5.  Innovative Techniques for Evaluating Behavioral Nutrition Interventions.

Authors:  Rachel E Scherr; Kevin D Laugero; Dan J Graham; Brian T Cunningham; Lisa Jahns; Karina R Lora; Marla Reicks; Amy R Mobley
Journal:  Adv Nutr       Date:  2017-01-17       Impact factor: 8.701

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Authors:  Mohamed Maarouf Ali Zeinhom; Yijia Wang; Yang Song; Mei-Jun Zhu; Yuehe Lin; Dan Du
Journal:  Biosens Bioelectron       Date:  2017-08-04       Impact factor: 10.618

8.  Development of the smartphone-based colorimetry for multi-analyte sensing arrays.

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9.  Precision of dehydroascorbic acid quantitation with the use of the subtraction method--validation of HPLC-DAD method for determination of total vitamin C in food.

Authors:  Artur Mazurek; Jerzy Jamroz
Journal:  Food Chem       Date:  2014-10-18       Impact factor: 7.514

10.  Analysis of biofluids in aqueous environment based on mid-infrared spectroscopy.

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Journal:  J Biomed Opt       Date:  2005 May-Jun       Impact factor: 3.170

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  3 in total

1.  Spectrometric Smartphone-Based System for Ibuprofen Quantification in Commercial Dosage Tablets.

Authors:  Miguel Ángel Aguirre; Kenneth D Long; Brian T Cunningham
Journal:  J Pharm Sci       Date:  2019-03-15       Impact factor: 3.534

2.  Analysis of Paper-Based Colorimetric Assays With a Smartphone Spectrometer.

Authors:  Elizabeth V Woodburn; Kenneth D Long; Brian T Cunningham
Journal:  IEEE Sens J       Date:  2019-06-15       Impact factor: 3.301

3.  Smartphone-based image analysis for evaluation of magnetic textile solid phase extraction of colored compounds.

Authors:  Ivo Safarik; Eva Baldikova; Jitka Prochazkova; Kristyna Pospiskova
Journal:  Heliyon       Date:  2019-12-18
  3 in total

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