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

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• 作者：Christian Lyndgaard Hansen ; Anette Kistrup Thybo ; Hanne Christine Bertram ; Nanna Viereck ; Frans van den Berg ; Sø ; ren Balling Engelsen
• 刊名：Journal of Agricultural and Food Chemistry
• 出版年：2010
• 出版时间：October 13, 2010
• 年：2010
• 卷：58
• 期：19
• 页码：10300-10304
• 全文大小：764K
• 年卷期：v.58,no.19(October 13, 2010)
• ISSN：1520-5118

文摘

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 M_0,1 (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.

Keywords:

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