Mitigation of Acrylamide and Hydroxymethylfurfural in Fried Potatoes Using Pectin–Chitosan Nanocomposite Coatings Enriched with Olive Leaf Extract
Publication Type
Conference Paper
Authors

The formation of acrylamide (ACR) and 5-hydroxymethylfurfural (HMF) during frying poses significant public health concerns due to their potential carcinogenic and genotoxic effects. This study investigated the efficacy of pectin (PEC)-based edible coatings enriched with olive leaf extract (OLE) and chitosan nanoparticles (CH-NPs) in mitigating ACR and HMF formation in French fries prepared by deep fat frying (190 °C, 9 min) and hot air frying (200 °C, 18 min). Physicochemical characterization of coating solutions revealed that OLE and CH-NPs substantially enhanced antioxidant activity (78.9%) without markedly affecting zeta potential or particle size distribution. Quantitative HPLC-UV analysis showed that air frying produced significantly higher ACR and HMF levels than deep frying. However, the combined PEC + OLE + CH-NPs coating achieved the greatest mitigation, reducing ACR by 53% in deep frying and 58% in air frying, and decreasing HMF formation by 65% and 39.5%, respectively. Moreover, this coating lowered oil uptake by 55% while retaining higher moisture content (up to 61.9%) and lighter color parameters (L* = 77.0). Sensory evaluation indicated that deep-fried coated fries were more acceptable to panelists than air-fried samples, suggesting that edible coatings can improve both safety and quality. These findings demonstrate the synergistic potential of combining natural antioxidants with nano-biopolymer reinforcements to develop healthier frying strategies. The study highlights that although air frying reduces fat content, it may increase heat-induced toxicants, emphasizing the importance of consumer awareness and technological optimization in domestic frying practices.

Conference
Conference Title
Meeting Sezione SIB Campania 2025
Conference Country
Palestine
Conference Date
Nov. 7, 2025 - Nov. 7, 2025
Conference Sponsor
SIB