J. Maalouf, Jennifer C. Tomazou, Stephanie Azar, Christelle Bou-Mitri, Jacqueline Doumit, Amira Youssef, Roland B. Andary, W. Skaff, M. E. Riachy
{"title":"Determinant factors of olive oil stability, phenolic content and antioxidant capacity","authors":"J. Maalouf, Jennifer C. Tomazou, Stephanie Azar, Christelle Bou-Mitri, Jacqueline Doumit, Amira Youssef, Roland B. Andary, W. Skaff, M. E. Riachy","doi":"10.1108/NFS-01-2021-0030","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study aims to identify the effect of selected agro-industrial factors associated with the olive oil phenolic composition, total phenolic content (TPC), antioxidant capacity and oxidative stability index (OSI). The study also aims to assess the relationship between the quality indices and each of the individual phenol, TPC, antioxidant capacity and OSI.\n\n\nDesign/methodology/approach\nOlive oil samples (n=108) were collected from Lebanese northern (Akkar and Zgharta-Koura) and southern (Hasbaya and Jezzine) regions, at three harvesting times (early, intermediate, late) and using different types of mills (traditional, sinolea, two- and three-phase decanters). The samples were analyzed using official standard methods.\n\n\nFindings\nThe highest TPC, antioxidant capacity and OSI were obtained in early harvested olive oil, using two-phase decanters for TPC and three-phase decanters for antioxidant capacity and OSI. A prediction model, including the free acidity, K232, TPC, C18:2, C18:0, tyrosol and apigenin, was obtained; it allowed to predict very highly significantly the OSI (p < 0.001). Apigenin, tyrosol and C18:2 recorded the highest standardized coefficients (ß^+= 0.35) and thus had the highest influence on OSI. As per antioxidant capacity of olive oil, another very highly statistically significant prediction model was constructed (p < 0.001). It included only two predictors, oleacein and TPC, with the latter having the most influence (ß^+= 0.37).\n\n\nOriginality/value\nThe overall results highlighted the detrimental effects of agro-industrial factors on olive oil chemical composition, and this contributes significantly to improve olive oil’s quality and characteristics, which are important for the product economical and nutritional values.\n","PeriodicalId":19376,"journal":{"name":"Nutrition & Food Science","volume":" ","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Food Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/NFS-01-2021-0030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
Purpose
This study aims to identify the effect of selected agro-industrial factors associated with the olive oil phenolic composition, total phenolic content (TPC), antioxidant capacity and oxidative stability index (OSI). The study also aims to assess the relationship between the quality indices and each of the individual phenol, TPC, antioxidant capacity and OSI.
Design/methodology/approach
Olive oil samples (n=108) were collected from Lebanese northern (Akkar and Zgharta-Koura) and southern (Hasbaya and Jezzine) regions, at three harvesting times (early, intermediate, late) and using different types of mills (traditional, sinolea, two- and three-phase decanters). The samples were analyzed using official standard methods.
Findings
The highest TPC, antioxidant capacity and OSI were obtained in early harvested olive oil, using two-phase decanters for TPC and three-phase decanters for antioxidant capacity and OSI. A prediction model, including the free acidity, K232, TPC, C18:2, C18:0, tyrosol and apigenin, was obtained; it allowed to predict very highly significantly the OSI (p < 0.001). Apigenin, tyrosol and C18:2 recorded the highest standardized coefficients (ß^+= 0.35) and thus had the highest influence on OSI. As per antioxidant capacity of olive oil, another very highly statistically significant prediction model was constructed (p < 0.001). It included only two predictors, oleacein and TPC, with the latter having the most influence (ß^+= 0.37).
Originality/value
The overall results highlighted the detrimental effects of agro-industrial factors on olive oil chemical composition, and this contributes significantly to improve olive oil’s quality and characteristics, which are important for the product economical and nutritional values.
期刊介绍:
Nutrition & Food Science* (NFS) is an international, double blind peer-reviewed journal offering accessible and comprehensive coverage of food, beverage and nutrition research. The journal draws out the practical and social applications of research, demonstrates best practice through applied research and case studies and showcases innovative or controversial practices and points of view. The journal is an invaluable resource to inform individuals, organisations and the public on modern thinking, research and attitudes to food science and nutrition. NFS welcomes empirical and applied research, viewpoint papers, conceptual and technical papers, case studies, meta-analysis studies, literature reviews and general reviews which take a scientific approach to the following topics: -Attitudes to food and nutrition -Healthy eating/ nutritional public health initiatives, policies and legislation -Clinical and community nutrition and health (including public health and multiple or complex co-morbidities) -Nutrition in different cultural and ethnic groups -Nutrition during pregnancy, lactation, childhood, and young adult years -Nutrition for adults and older people -Nutrition in the workplace -Nutrition in lower and middle income countries (incl. comparisons with higher income countries) -Food science and technology, including food processing and microbiological quality -Genetically engineered foods -Food safety / quality, including chemical, physical and microbiological analysis of how these aspects effect health or nutritional quality of foodstuffs