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

被引：81
|
作者：
Hansen, Christian Lyndgaard [1 ]
Thybo, Anette Kistrup [2 ]
Bertram, Hanne Christine [2 ]
Viereck, Nanna [1 ]
van den Erg, Frans [1 ]
Engelsen, Soren Balling [1 ]
机构：
[1] Univ Copenhagen, Dept Food Sci, Fac Life Sci, DK-1958 Frederiksberg C, Denmark
[2] Aarhus Univ, Dept Food Sci, Fac Agr Sci, DK-5792 Aarslev, Denmark
来源：
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY | 2010年 / 58卷 / 19期
关键词：
Low-field NMR; potato; PLS regression; dry matter content; DoubleSlicing; specific gravity; core consistency; NEAR-INFRARED SPECTROSCOPY; SOLANUM-TUBEROSUM; CURVE RESOLUTION; SENSORY TEXTURE; RELAXATION DATA; H-1-NMR; QUALITY; WATER; PREDICTION; COOKING;
D O I：
10.1021/jf101319q
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
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.
引用
收藏
页码：10300 / 10304
页数：5
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