Title: Evaluation and optimization of high-throughput enzymatic assays for fast L-ascorbic acid quantification in fruit and vegetables
Authors: Vermeir, Steven ×
Hertog, Maarten
Schenk, Ann
Beullens, K
Nicolai, Bart
Lammertyn, Jeroen #
Issue Date: Jun-2008
Publisher: Elsevier science bv
Series Title: Analytica chimica acta vol:618 issue:1 pages:94-101
Abstract: In this paper, we compare and evaluate the applicability of three UV-VIS absorbance based assays for high-throughput quantification of ascorbic acid in horticultural products. All the methods involve the use of a common enzyme (ascorbate oxidase) in combination with a different indicator molecule. The three methods were retrieved from literature: a direct oxidise-method, an OPDA coupled oxidise-method and a PMS-method, which is commercially available. The analysis in high-throughput context involved the analysis in microplates in combination with the use of an automated liquid handling system. We checked (i) the performance factors of the selected methods on standard solutions, (ii) the applicability of the defined methods in high-throughput context, and, (iii) the accuracy of the methods on real samples using HPLC as a reference technique. The OPDA-method was found to be the most appropriate method for the quantification of ascorbic acid in high-throughput context with a linear range between 7.0 and 950 mg L-1 and excellent correlation parameters (slopes close to 1, intercepts close to 0, R-2 > 0.91) with the reference technique when real samples were analyzed. Finally, this method was optimized for assay cost and assay time. Hereto the enzymatic reaction was mathematically described using a model for enzyme kinetics, which was then used to calculate the optimal concentrations of ascorbate oxidase and OPDA. As a result of the modeling the amount of enzyme in the assay could be reduced with a factor 2.5 without affecting significantly the reaction time. In a last step the optimal concentrations were used for a successful validation with the HPLC-reference technique. (C) 2008 Elsevier B.V. All rights reserved.
ISSN: 0003-2670
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division of Mechatronics, Biostatistics and Sensors (MeBioS)
× corresponding author
# (joint) last author

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