化学
内容(测量理论)
分析化学(期刊)
偏最小二乘回归
干物质
核磁共振
含水量
质子核磁共振
数学
色谱法
动物科学
物理
立体化学
统计
生物
数学分析
岩土工程
工程类
作者
Christian Bøge Lyndgaard,Anette Kistrup Thybo,Hanne Christine Bertram,Nanna Viereck,Frans van den Berg,Søren Balling Engelsen
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 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.
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