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在快速发展的中国,有机食品、绿色食品和无公害食品在产地环境、生产规程、加工、包装,尤其是生产资料的使用等方面都有严格区分,导致检验和认证需要花费大量的人力、物力、财力和时间。因此我们需要一种方便、精确的检测技术。基于化学计量学,本研究首次利用可见-近红外反射光谱快速检测有机胡萝卜、绿色胡萝卜和无公害胡萝卜。选择最佳区间(650-700 nm),三种分类模型包括主成分分析结合k均值聚类、主成分分析结合线性判别分析、反向传播神经网络鉴别126个胡萝卜样本的准确率分别为93.65%、100%,和98.41%。结果表明,可见-近红外光谱结合化学计量学技术可以有效地验证有机胡萝卜、绿色胡萝卜和无污染胡萝卜。为质量检验机构提供了一个可行的检测方法,从而促进包括有机食品、绿色食品、无公害食品等安全食品的发展。
In the rapidly developing China, organic foods, green foods and pollution-free foods have strict distinction in the aspects of the production environment, production rules, processing and packaging, especially the use of means of production. As a result, inspection and certification take a lot of manpower and material resources Financial and time. So we need a convenient and accurate detection technology. Based on stoichiometry, this study was the first to use visible-near infrared reflectance spectroscopy to rapidly detect organic carrots, green carrots and pollution-free carrots. Select the best interval (650-700 nm), three classification models including principal component analysis combined with k-means clustering, principal component analysis combined with linear discriminant analysis, backpropagation neural network to identify 126 carrots samples were 93.65% , 100%, and 98.41%. The results show that visible-NIR spectroscopy combined with chemometrics can effectively validate organic carrots, green carrots and non-polluting carrots. It provides a quality inspection agency with a feasible test method to promote the development of safe food including organic food, green food and pollution-free food.