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Development of a nuclear magnetic resonance-based sensor to detect ripeness of fruit.

机译:开发基于核磁共振的传感器以检测水果的成熟度。

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摘要

The possibility of detecting ripeness of raw fruit by measuring sugar content with an A-200 Fourier Transform (FT) Nuclear Magnetic Resonance (NMR) was investigated. Chemical approaches for understanding ripeness, carbohydrates and sugar content in raw fruit were described. Then, the samples of sugar-water mixtures and real fruit were tested with the NMR and the correlations of sugar contents to NMR spectra were obtained. Finally, an NMR based sensor to grade raw fruit nondestructively was designed.; Sugar contents in 7 different water-sucrose mixtures were measured with the NMR. Sugar content was linearly correlated to the amplitude of sugar peaks in the NMR spectra. The amplitude of the highest sugar peak was the basis for the correlation. The error of the sugar content measurement was within {dollar}pm{dollar}2%. The use of NMR spectra of raw fruit samples was investigated for promise in the development of nondestructive and noncontaminative grading technique for raw fruit. Ripeness level (or sugar content) of raw fruit was also linearly correlated to the amplitude of sugar peaks in the NMR spectra. Therefore, the amplitude of sugar peaks could be used to grade raw fruit into several groups according to their ripeness levels.; At present, most of NMR machines are quite expensive for food and agricultural engineering applications. A low cost NMR sensor to detect ripeness of fruit could be developed, because it does not require high accuracy compared to chemical or medical NMR. The use of permanent magnets and the design configuration of the magnet structure were the key factors to reduce the cost.; The NMR based sensor for the quality control of raw fruit was designed by using a data based expert system and an interactive graphics simulation with a finite element model of the magnet console structure. Corner magnets were used for higher magnetic field induction around the air gap center where fruit would be located. This resulted in a more than 50% increase of the magnetic induction. Also, the shimming plates and the pole surface plates were attached to improve homogeneity of the magnetic field around the center. The NMR sensor design configuration could easily be changed depending upon the kind of fruit to be tested.
机译:研究了通过使用A-200傅里叶变换(FT)核磁共振(NMR)测量糖含量来检测生果成熟的可能性。描述了了解生果成熟度,碳水化合物和糖含量的化学方法。然后,对糖水混合物和真实水果的样品进行NMR检验,得出糖含量与NMR光谱的相关性。最终,设计了一种基于NMR的传感器,对生果进行无损分级。用NMR测量7种不同水-蔗糖混合物中的糖含量。糖含量与NMR光谱中糖峰的幅度线性相关。最高糖峰的振幅是相关性的基础。糖含量测量的误差在{dollar} pm {dollar} 2%以内。研究了使用未加工水果样品的NMR光谱为未加工水果的无损和无污染分级技术的发展提供了希望。生果的成熟度(或含糖量)也与NMR光谱中糖峰的振幅线性相关。因此,糖峰的振幅可用于根据其成熟度将生果分为几类。目前,对于食品和农业工程应用而言,大多数NMR机器都非常昂贵。可以开发出一种低成本的NMR传感器来检测水果的成熟度,因为与化学或医学NMR相比,它不需要高精度。永磁体的使用和磁体结构的设计配置是降低成本的关键因素。通过使用基于数据的专家系统和带有电磁控制台结构的有限元模型的交互式图形仿真,设计了用于生果质量控制的基于NMR的传感器。角磁铁用于在将要放置水果的气隙中心周围产生更高的磁场感应。这导致磁感应增加了50%以上。另外,还安装了匀场板和极板,以提高中心附近磁场的均匀性。取决于要测试的水果种类,可以轻松更改NMR传感器的设计配置。

著录项

  • 作者

    Cho, Seong In.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Agricultural.
  • 学位 Ph.D.
  • 年度 1989
  • 页码 247 p.
  • 总页数 247
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业工程;
  • 关键词

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