利用低场核磁共振（LF-NMR）测定马铃薯块茎中的干物质含量。

Determination of dry matter content in potato tubers by low-field nuclear magnetic resonance (LF-NMR).

机构信息

Quality and Technology, Department of Food Science, Faculty of Life Sciences, University of Copenhagen, DK-1958 Frederiksberg C, Denmark.

出版信息

J Agric Food Chem. 2010 Oct 13;58(19):10300-4. doi: 10.1021/jf101319q.

DOI:10.1021/jf101319q

PMID:20853901

Abstract

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.

摘要

本研究旨在建立时域低场核磁共振（LF-NMR）测量值与单个马铃薯干物质（DM）含量之间的标定模型。采用广泛的采样程序，从 8 个品种中收集了 210 个 DM 含量范围从 16 到 28%的马铃薯。采用多种溶液诊断方法，将指数 NMR 弛豫曲线解析为四个单指数分量。NMR 参数（弛豫时间常数 T（2,1-4）和幅度 M（0,1-4））与 DM 含量之间的偏最小二乘（PLS）回归得到的模型具有较低的误差（RMSECV，0.71；RMSEP，0.60）和较高的相关性（r（CV），0.97；r（test），0.98），预测和实际 DM 含量之间。DM 含量与每个质子群体之间的相关性表明，M（0,1）（T（2,1），3.6ms；SD，0.3ms；r，0.95）和 M（0,4）（T（2,4），508ms；SD，53ms；r，-0.90）是 PLS 回归模型的主要贡献者。