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Use of self-diffusion spin-echo magnetic resonance for non-destructive measurement of soluble solids content of fruits.

机译:自扩散自旋回波磁共振技术用于水果可溶性固形物含量的无损检测。

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摘要

Non-destructive sorting of ripeness of fruits and vegetables could save the US approximately {dollar}1.4times10sp{lcub}13{rcub}{dollar} BTU of invested energy each year. Sugar content is a good indicator of ripeness for most fruits and vegetables. Self-diffusion of water molecules in sugar solution decreases dramatically as sugar content increases. For purposes of this research, sugar content was assumed to be equivalent to or linearly related to brix content as measured with a refractometer. Self-diffusion spin-echo proton magnetic resonance with a static magnetic field gradient was successfully used to determine brix content of whole fruits and vegetables. New pulse sequences were used to solve two practical problems: (a) effects of sample size and shape which are in turn related to the homogeneity of the {dollar}Bsb1{dollar} and {dollar}Bsb0{dollar} fields, and (b) changes (drift) in magnetic field strength ({dollar}Bsb0{dollar}). A simple calibration equation was used to correct for sample temperature effects and changes in T{dollar}sb2{dollar} caused by variation in composition among fruits and vegetables. A gradient driver and gradient coils were designed and built for the experiments. Major fruits tested included whole sweet cherries, whole plums, whole strawberries, whole blueberries and cylindrical samples cut from apples, oranges, nectarines, pears, bananas, pineapples, potatoes and tomatoes. Values of the correlation coefficient r for linear regression models of predicted % brix (i.e. the brix content estimated by means of the newly developed pulse sequence) versus % brix (refractometer reading) were 0.95 for sweet cherries, 0.87 for apples and bananas, 0.84 for nectarines, 0.62 for blueberries and pears, and 0.59 for potatoes. The predicted brix content estimations by means of the newly developed pulse sequence varied from refractometer measurements by no more than 3% (absolute).
机译:每年对水果和蔬菜的成熟度进行非破坏性分类可以为美国节省约1.4美元乘以10倍{spub {lcub} 13 {rcub} {dollar} BTU的投资能源。糖含量是大多数水果和蔬菜成熟的良好指标。随着糖含量的增加,糖溶液中水分子的自扩散显着降低。为了本研究的目的,糖含量被认为与使用折光仪测得的糖度相等或线性相关。自扩散自旋回波质子磁共振与静态磁场梯度已成功地用于确定整个水果和蔬菜的糖度。新的脉冲序列用于解决两个实际问题:(a)样本大小和形状的影响,而这些影响又与{dols} Bsb1 {dollar}和{dollar} Bsb0 {dollar}场的均匀性有关,以及(b )磁场强度({dollar} Bsb0 {dollar})的变化(漂移)。使用一个简单的校准方程来校正样品的温度影响以及水果和蔬菜中成分变化引起的T {sb2} {sb2}的变化。为实验设计并构建了梯度驱动器和梯度线圈。测试的主要水果包括完整的甜樱桃,完整的李子,完整的草莓,完整的蓝莓和从苹果,橙子,油桃,梨,香蕉,菠萝,土豆和西红柿中切下的圆柱状样品。对于甜樱桃,预测的糖度(即通过新开发的脉冲序列估算的糖度)与糖度(折光仪读数)的线性回归模型的相关系数r的值分别为0.95、0.87和0.84。油桃,蓝莓和梨为0.62,土豆为0.59。借助新开发的脉冲序列进行的糖度预测值与折光仪的测量值相差不超过3%(绝对值)。

著录项

  • 作者

    Wai, Wing-Kin.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Agricultural.; Agriculture Food Science and Technology.
  • 学位 Ph.D.
  • 年度 1993
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业工程;农产品收获、加工及贮藏;
  • 关键词

  • 入库时间 2022-08-17 11:49:57

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