Evidence map›Paper›PMID 30309524›Full record

ArticleFood chemistry2019

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

Miguel Ángel Aguirre, Kenneth D Long, Antonio Canals, Brian T Cunningham

Abstract read
In one paragraph

Article in Food chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Miguel Ángel AguirreDepartment of Analytical Chemistry and Food Science and University Institute of Materials, University of Alicante, P.O. Box 99, 03080 Alicante, Spain. Electronic address: aguirre.pastor@ua.es.
Kenneth D LongDepartment of Bioengineering, University of Illinois at Urbana-Champaign, United States.
Antonio CanalsDepartment of Analytical Chemistry and Food Science and University Institute of Materials, University of Alicante, P.O. Box 99, 03080 Alicante, Spain.
Brian T CunninghamDepartment of Bioengineering, University of Illinois at Urbana-Champaign, United States; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, United States. Electronic address: bcumming@illinois.edu.

Funding

Photonic Crystal Based Point-of-Care Detection of HIV Viral Load Using a Smartphone BiosensorF30AI122925 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LONG, KENNETH · 2016 to 2019
$159k
NIAID NIH HHS F30 AI122925
6 · The paper itself

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.

Indexed as

SmartphoneAscorbic AcidDietary SupplementsFruit and Vegetable JuicesLiquid Phase MicroextractionMethylene BluePoint-of-Care SystemsSpectrum AnalysisWaterAscorbic AcidMethylene BlueWaterMultivariate optimizationOrange juicePoint-of-use detectionSmartphone-based systemVitamin C quantificationVitamin C supplements

Identifiers

PMID30309524
PMCPMC6188657

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.