4.7 Article

Determination of Dry Matter Content in Potato Tubers by Low-Field Nuclear Magnetic Resonance (LF-NMR)

期刊

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 58, 期 19, 页码 10300-10304

出版社

AMER CHEMICAL SOC
DOI: 10.1021/jf101319q

关键词

Low-field NMR; potato; PLS regression; dry matter content; DoubleSlicing; specific gravity; core consistency

资金

  1. Danish Ministry of Food Agriculture and Fisheries
  2. Danish Agency for Science Technology and Innovation [JNR 3304-FSE-06-0504).]

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The objective of this study was to develop a calibration model between time-domain low-field nuclear magnetic resonance (LF-NMR) measurements and dry matter (DM) content in single potatoes. An extensive sampling procedure was used to collect 210 potatoes from eight cultivars with a wide range in DM content, ranging from 16 to 28%. The exponential NMR relaxation curves were resolved into four mono-exponential components using a number of solution diagnostics. Partial least-squares (PLS) regression between NMR parameters (relaxation time constants T(2,1-4) and magnitudes M(0,1-4)) and DM content resulted in a model with low error (RMSECV, 0.71; RMSEP, 0.60) and high correlation (r(cv), 0.97; r(test), 0.98) between predicted and actual DM content. Correlation between DM content and each of the proton populations revealed that M0,1 (T(2,1), 3.6 ms; SD, 0.3 ms; r, 0.95) and M(0.4) (T(2,4), 508 ms; SD, 53 ms; r, -0.90) were the major contributors to the PLS regression model.

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