TY - JOUR
T1 - Point-of-use detection of ascorbic acid using a spectrometric smartphone-based system
AU - Aguirre, Miguel Ángel
AU - Long, Kenneth D.
AU - Canals, Antonio
AU - Cunningham, Brian T.
PY - 2019/1/30
Y1 - 2019/1/30
N2 - 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.
AB - 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.
KW - Multivariate optimization
KW - Orange juice
KW - Point-of-use detection
KW - Smartphone-based system
KW - Vitamin C quantification
KW - Vitamin C supplements
UR - http://www.scopus.com/inward/record.url?scp=85051379708&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051379708&partnerID=8YFLogxK
U2 - 10.1016/j.foodchem.2018.08.002
DO - 10.1016/j.foodchem.2018.08.002
M3 - Article
C2 - 30309524
AN - SCOPUS:85051379708
VL - 272
SP - 141
EP - 147
JO - Food Chemistry
JF - Food Chemistry
SN - 0308-8146
ER -