Affiliation:
1. Research Institute of Subtropical Forestry, Chinese Academy of Forestry , Fuyang District, Hangzhou , China
Abstract
Abstract
Place of origin has an important influence on walnut quality and commercial value, which results in the requirement of rapid geographical traceability method. Thus, a method for geographical origin identification of walnuts on the basis of nutritional quality of walnuts from China was conducted. The concentrations of 43 phytochemical components were analyzed in walnut samples from five different walnut-producing regions of China. Based on 14 chemical markers selected by the Random Forest method from these phytochemical components, a new discriminant model for geographical origin was built, with the corresponding correct classification rate of 99.3%. In addition, the quantitative quality differences of walnuts from five regions were analyzed, with values of 0.17–1.43. Moreover, the top three chemical markers for the geographical origin discriminant analysis were Mo, V, and stearic acid, with contribution rates of 26.8%, 18.9%, and 10.9%, respectively. This study provides a potentially viable method for application in food authentication.
Funder
Fundamental Research Funds of Chinese Academy of Forestry
Publisher
Oxford University Press (OUP)
Reference38 articles.
1. Content of carotenoids, tocopherols, sterols, triterpenic and aliphatic alcohols, and volatile compounds in six walnuts (Juglans regia L.) varieties;Abdallah;Food Chemistry,2015
2. Flavonoids profile and antioxidant activity in flowers and leaves of hawthorn species (Crataegus spp.) from different regions of Iran;Abolfazl;International Journal of Food Properties,2018
3. Application of random forests to select premium quality vegetable oils by their fatty acid composition;Ai;Food Chemistry,2014
4. Determination of sterol and fatty acid compositions, oxidative stability, and nutritional value of six walnut (Juglans regia L.) cultivars grown in Portugal;Amaral;Journal of Agricultural and Food Chemistry,2003
5. A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry;Barbosa;Food Chemistry,2015
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献