WAC 2022 banner
IVES 9 IVES Conference Series 9 WAC 9 WAC 2022 9 4 - WAC - Posters 9 The development of a simple electrochemical method based on molecularly imprinted polymers for the selective determination of caffeic acid in wine

The development of a simple electrochemical method based on molecularly imprinted polymers for the selective determination of caffeic acid in wine

Abstract

Caffeic acid (CA) is an antioxidant of great importance in the food sector, such as wine, where it acts as a marker of wine ageing, as well as in the health sector due to its antioxidant properties and beneficial effects including the prevention of inflammation, cancer, neurodegenerative diseases, and diabetes. A simple and fast electrochemical method was developed for the determination of caffeic acid in a hydroalcoholic medium, based on a molecular imprinted polymer (MIP) in order to highlight the specificity and selectivity of the polymer. A MIP specific to CA was synthesized by the radical polymerization process, using N-phenylacrylamide (N-PAA), tetraethoxysilane (TEOS), ethylene glycol dimerhacrylate (EGDMA) and azobisisobutyronitrile (AIBN) in the presence of CA as template molecule and under thermal conditions (60°C). Screen-printed carbon electrodes were used in the electrochemical measurements without any pre-treatment or modification of their surface, in order to ensure the simplicity of the method. Cyclic voltammograms were applied at a scan rate of 50mV/s, from -0.4 to 0.8 V, and showed that, at pH3, the polymer presented good stability and repeatability regarding CA determination. In addition, it exhibited high selectivity towards CA compared to other interferents with similar structures. Furthermore, the polymer was successfully tested for the detection of CA in wine.

DOI:

Publication date: June 27, 2022

Issue: WAC 2022

Type: Article

Authors

Marie EL HACHEM, Elias Bou-Maroun, Richard G. Maroun, Philippe Cayot, Maher Abboud

Presenting author

Marie EL HACHEM – UMR PAM, Procédés Alimentaires et Microbiologiques, Bourgogne Franche-Comté University, AgroSup Dijon, France

UMR PAM, Procédés Alimentaires et Microbiologiques, Bourgogne Franche-Comté University, AgroSup Dijon, France | Centre d’Analyses et de Recherche, Laboratoire CTA, UR TVA, Faculty of Sciences, Saint Joseph University, Beirut, Lebanon | UMR PAM, Procédés Alimentaires et Microbiologiques, Bourgogne Franche-Comté University, AgroSup Dijon, France | UEGP Unité Environnement, Génomique et Protéonique, Faculty of Sciences, Saint Joseph University, Beirut, Lebanon, ,

Contact the author

Keywords

Caffeic acid- health benefits-electrochemistry-molecularly imprinted polymer-screen-printed carbon electrodes

Tags

IVES Conference Series | WAC 2022

Citation

Related articles…

Terroir and climate: the role of homoclime matching

Climate is an important component or determinant of terroir, especially at the regional level. One can define three levels of terroir. These are the macro– or regional scale, which applies over tens of kilometres of the landscape. The second level is the meso- scale, which applies over kilometres or hundreds of meters, at the individual vineyard scale.

Mechanisms responsible for different susceptibility of grapevine varieties to flavescence dorée

Flavescence dorée (FD) is the most serious grapevine yellows disease in Europe. It is caused by phytoplasmas which are transmitted from grapevine to grapevine by the leafhopper Scaphoideus titanus.

Tracking innovations for glyphosate-free in sloppy or terraced vineyard

Context and purpose of the study. Reducing pesticide use such as glyphosate, is a key challenge to support sustainability of viticulture systems and resilience of vineyard.

Climate modeling at local scale in the Waipara winegrowing region in the climate change context

In viticulture, a warming climate can have a very significant impact on grapevine development and therefore on the quality and characteristics of wines across different spatial scales, ranging from global to local. In order to adapt wine-growing to climate change, global climate models can be used to define future scenarios, but only at the scale of major wine regions. Despite the huge progress made over the last ten years in terms of the spatial resolution of climate models (now downscaled to a few square kilometres), they are not yet sufficiently precise to account for the local climate variability associated with such parameters as local topography, in spite of these parameters being decisive for vine and wine characteristics. This study describes a method to downscale future climate scenarios to vineyard scale. Networks of data loggers have been used to collect air temperature at canopy level in the Waipara winegrowing region (New Zealand) over five growing seasons. These measurements allow the creation of fine-scale geostatistical models and maps of temperature (at 100 m resolution) for the growing season. In order to model climate change at pilot site scale, these geostatistical models have been combined with regional climate change predictions for the periods 2031-2050 and 2081-2100 based on the RCP8.5 climate change scenario. The integration of local climate variability with regionalized climate change simulations allows assessment of the impacts of climate change at the vineyard scale. The improved knowledge gained using this methodology results from the increased horizontal resolution that better addresses the concerns of winegrowers. The results provide the local winegrowers with information necessary to understand current processes, as well as historical and future viticulture trends at the scale of their site, thereby facilitating decisions about future response strategies.

Modelling leaf water potential from physiological and meteorological variables – A machine learning approach

Viticulture is a key economic sector in the mediterranean region. However, climate change is affecting global viticulture, increasing the frequency of heatwaves and drought events.