首页> 外文期刊>Journal of Agricultural and Food Chemistry >Front-face fluorescence spectroscopy as a rapid and nondestructive tool for differentiating various cereal products: a preliminary investigation
【24h】

Front-face fluorescence spectroscopy as a rapid and nondestructive tool for differentiating various cereal products: a preliminary investigation

机译:正面荧光光谱法是区分谷物产品的一种快速且无损的工具:初步研究

获取原文
获取原文并翻译 | 示例
       

摘要

The potential of intrinsic fluorescence spectroscopy was investigated for differentiating between processed grains (flours, pasta, and semolinas) of different wheat cereal products. A total of 59 samples (e.g., 20 complete Kamut, semicomplete Kamut, and soft wheat flours, 28 pasta, and 11 semolinas manufactured from complete Kamut, semicomplete Kamut, and hard wheat flours) were analyzed by front-face fluorescence spectroscopy. Tryptophan fluorescence spectra were scanned between 305 and 400 nm on samples following excitation at 290 nm. The principal component analysis (PCA) performed on flour spectra clearly differentiated complete Kamut and semicomplete Kamut samples from those produced from complete and semicomplete soft wheat flours. The PCA performed on pasta spectra discriminated samples manufactured from complete Kamut and complete hard wheat flours from those made with semicomplete Kamut and semicomplete hard wheat flours. The best discrimination was obtained from tryptophan spectra recorded on semolinas since the four groups were well discriminated. Correct classification amounting to 61.9% was obtained for pasta spectra. A better classification was obtained for flour and semolina spectra since correct classification amounted to 86.7% and 87.9%, respectively. Front-face fluorescence spectroscopy has the potential to be a rapid, low-cost, and efficient method for the authentication of cereal products.
机译:研究了固有荧光光谱法用于区分不同小麦谷物产品的加工谷物(面粉,面食和粗面粉)的潜力。通过正面荧光光谱法分析了总共59个样品(例如20种全麦,全麦和软小麦粉,28种面食和11种由全麦,半麦和硬小麦粉制成的粗面粉)。在290 nm激发后,在305和400 nm之间扫描了色氨酸荧光光谱。在面粉光谱上进行的主成分分析(PCA)清楚地将完全Kamut和半完全Kamut样品与完全和半完全软小麦粉生产的样品区分开。在面食光谱上进行的PCA区分了从完全Kamut和完全硬质小麦粉制成的样品,以及由半完全Kamut和半完全硬质小麦粉制成的样品。从对粗面粉进行记录的色氨酸光谱中获得最好的区分度,因为对这四个组进行了很好的区分。面食光谱的正确分类率为61.9%。面粉和粗面粉光谱获得了更好的分类,因为正确的分类分别为86.7%和87.9%。正面荧光光谱法有可能成为一种快速,低成本和有效的谷物产品认证方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号