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

机译:低场核磁共振(LF-NMR)测定马铃薯块茎中的干物质含量

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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.
机译:这项研究的目的是建立一个时域低场核磁共振(LF-NMR)测量与单个马铃薯中干物质(DM)含量之间的校准模型。通过广泛的采样程序,从8个品种中提取了210个马铃薯,其DM含量范围从16%到28%不等。使用许多溶液诊断方法,将NMR指数弛豫曲线分解为四个单指数成分。 NMR参数(松弛时间常数T_(2,1-4)和量级M_(0,1-4))和DM含量之间的偏最小二乘(PLS)回归导致模型误差低(RMSECV,0.71; RMSEP ,0.60)和预测的和实际的DM含量之间的高度相关性(r_(CV),0.97; r_(测试),0.98)。 DM含量与每个质子种群之间的相关性显示M_(0,1)(T_(2,1)3.6毫秒; SD,0.3毫秒; r,0.95)和M_(0.4)(T_(2,4), 508 ms; SD,53 ms; r,-0.90)是PLS回归模型的主要贡献者。

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