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  • 标题:Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments
  • 本地全文:下载
  • 作者:Barbara Giussani ; Alix Tatiana Escalante-Quiceno ; Ricard Boqué
  • 期刊名称:Foods
  • 电子版ISSN:2304-8158
  • 出版年度:2021
  • 卷号:10
  • 期号:11
  • DOI:10.3390/foods10112856
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:Miniaturised near-infrared (NIR) instruments have been increasingly used in the last few years, and they have become useful tools for many applications on different types of samples. The market already offers a wide variety of these instruments, each one having specific requirements for the correct acquisition of the instrumental signal. This paper presents the development and optimisation of different measuring strategies for two miniaturised NIR instruments in order to find the best measuring conditions for the rapid and low-cost analysis of olive oils. The developed strategies have been applied to the classification of different samples of olive oils, obtaining good results in all cases.
  • 关键词:olive oil; miniaturised instrumentation; measurement strategies; near-infrared spectroscopy; classification
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