Evaluation and optimization of high-throughput enzymatic assays for fast l-ascorbic acid quantification in fruit and vegetables.

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 oxidase-method, an OPDA coupled oxidase-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 mgL(-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.

Microplate differential calorimetric biosensor for ascorbic acid analysis in food and pharmaceuticals.

In this paper we report on the development of a label-free low-volume (12.5 microL), high-throughput microplate calorimetric biosensor for fast ascorbic acid quantification in food and pharmaceutical products. The sensor is based on microplate differential calorimetry (MiDiCal) technology in which the heat generation, due to the exothermic reaction between ascorbic acid and ascorbate oxidase, is differentially monitored between two neighboring wells of an IC-built wafer. A severe discrepancy is found between expected and observed sensor readings. To investigate the underlying mechanisms of these findings a mathematical model, taking into account the biochemical reactions and diffusion properties of oxygen, ascorbic acid, and ascorbate oxidase, is developed. This model shows that oxygen depletion in the microliter reaction volumes, immediately after injection of sample (ascorbic acid) into the well, causes the enzymatic reaction to slow down. Calibration experiments show that the sensor's signal is linearly correlated to the area under the output versus time profile for the ascorbic acid concentration range from 2.4 to 350 mM with a limit of detection of 0.8 mM. Validation experiments on fruit juice samples, food supplements, and a pain reliever supplemented with ascorbic acid reveal that the designed method correlates well with HPLC reference measurements. The main advantages of the presented biosensor are the low analysis cost due to the low amounts of enzyme and reagents required and the possibility to integrate the device in fully automated laboratory analysis systems for high-throughput screening and analysis.

High-throughput microplate enzymatic assays for fast sugar and acid quantification in apple and tomato.

In this article, we report on the use of miniaturized and automated enzymatic assays as an alternative technology for fast sugar and acid quantification in apples and tomatoes. Enzymatic assays for d-glucose, d-fructose, sucrose, D-sorbitol/xylitol, L-malic acid, citric acid, succinic acid, and L-glutamic acid were miniaturized from the standard 3 mL assays in cuvettes into assays of 200 microL or lower in 96 or 384 well microplates. The miniaturization and the automation were achieved with a four channel automatic liquid handling system in order to reduce the dispensing errors and to obtain an increased sample throughput. Performance factors (limit of detection, linearity of calibration curve, and repeatability) of the assays with standard solutions were proven to be satisfactory. The automated and miniaturized assays were validated with high-pressure liquid chromatography (HPLC) analyses for the quantification of sugars and acids in tomato and apple extracts. The high correlation between the two techniques for the different components indicates that the high-throughput microplate enzymatic assays can serve as a fast, reliable, and inexpensive alternative for HPLC as the standard analysis technique in the taste characterization of fruit and vegetables. In addition to the analysis of extracts, the high-throughput microplate enzymatic assays were used for the direct analysis of centrifuged and filtered tomato juice with an additional advantage that the sample preparation time and analysis costs are reduced significantly.