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Rapid analyses of dry matter content and carotenoids in fresh cassava roots using a portable visible and near infrared spectrometer (Vis/NIRS)

机译:使用便携式可见和近红外光谱仪(Vis / NIRS)快速分析新鲜木薯根中的干物质含量和类胡萝卜素

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摘要

Portable Vis/NIRS are flexible tools for fast and unbiased analyses of constituents with minimal sample preparation. This study developed calibration models for dry matter content (DMC) and carotenoids in fresh cassava roots using a portable Vis/NIRS system. We examined the effects of eight data pre-treatment combinations on calibration models and assessed calibrations on processed and intact root samples. We compared Vis/NIRS derived-DMC to other phenotyping methods. The results of the study showed that the combination of standard normal variate and de-trend (SNVD) with first derivative calculated on two data points and no smoothing (SNVD+1111) was adequate for a robust model. Calibration performance was higher with processed than the intact root samples for all the traits although intact root models for some traits especially total carotenoid content (TCC) (R2c = 96%, R2cv = 90%, RPD = 3.6 and SECV = 0.63) were sufficient for screening purposes. Using three key quality traits as templates, we developed models with processed fresh root samples. Robust calibrations were established for DMC (R2c = 99%, R2cv = 95%, RPD = 4.5 and SECV = 0.9), TCC (R2c = 99%, R2cv = 91%, RPD = 3.5 and SECV = 2.1) and all Trans β-carotene (ATBC) (R2c = 98%, R2cv = 91%, RPD = 3.5 and SECV = 1.6). Coefficient of determination on independent validation set (R2p) for these traits were also satisfactory for ATBC (91%), TCC (88%) and DMC (80%). Compared to other methods, Vis/NIRS-derived DMC from both intact and processed roots had very high correlation (>0.95) with the ideal oven-drying than from specific gravity method (0.49). There was equally a high correlation (0.94) between the intact and processed Vis/NIRS DMC. Therefore, the portable Vis/NIRS could be employed for the rapid analyses of DMC and quantification of carotenoids in cassava for nutritional and breeding purposes.
机译:便携式Vis / NIRS是灵活的工具,可在最少的样品制备过程中快速,公正地分析成分。这项研究使用便携式的Vis / NIRS系统开发了新鲜木薯根中干物质含量(DMC)和类胡萝卜素的校准模型。我们检查了八种数据预处理组合对校准模型的影响,并对处理过的和完整的根样品评估了校准。我们将Vis / NIRS衍生的DMC与其他表型分析方法进行了比较。研究结果表明,将标准正态变量和去趋势(SNVD)与在两个数据点上计算的一阶导数相结合,并且不进行平滑处理(SNVD + 1111)就足以构成一个健壮模型。尽管某些特征的完整根模型,特别是总类胡萝卜素含量(TCC)(R 2 c = 96%,R 2 < / sup> cv = 90%,RPD = 3.6和SECV = 0.63)足以用于筛选。使用三个关键质量特征作为模板,我们开发了带有处理过的新鲜根样品的模型。针对DMC(R 2 c = 99%,R 2 cv = 95%,RPD = 4.5和SECV = 0.9),TCC(R 2 c = 99%,R 2 cv = 91%,RPD = 3.5且SECV = 2.1)和所有反式β-胡萝卜素(ATBC)(R 2 c = 98%,R 2 cv = 91%,RPD = 3.5,SECV = 1.6)。这些特征的独立验证集(R 2 p)的测定系数对于ATBC(91%),TCC(88%)和DMC(80%)也令人满意。与其他方法相比,来自完整和加工根部的Vis / NIRS衍生的DMC与理想的烤箱干燥方法相比,具有比从比重方法(0.49)非常高的相关性(> 0.95)。完整的Vis / NIRS DMC与处理后的Vis / NIRS DMC之间的相关性也很高(0.94)。因此,便携式Vis / NIRS可以用于木薯中DMC的快速分析和木薯中类胡萝卜素的定量分析,以用于营养和育种目的。

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