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首页> 外文期刊>Journal of the Brazilian Chemical Society >Prediction of parameters (soluble solid and pH) in intact plum using NIR spectroscopy and wavelength selection
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Prediction of parameters (soluble solid and pH) in intact plum using NIR spectroscopy and wavelength selection

机译：使用NIR光谱和波长选择预测完整李子中的参数（可溶性固体和pH）

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摘要

The aim of this study was to evaluate the potential of near-infrared reflectance spectroscopy (NIRS) as a rapid and nondestructive method to determine the soluble solid content (SSC) and pH of intact plums. Samples of plum with total solid contents ranging from 5.7 to 15% and pH from 2.72 to 3.84 were collected from supermarkets in Natal (Rio Grande do Norte, Brazil) and NIR spectra were acquired in the 714-2500 nm range. A comparison of some multivariate calibration techniques with respect to several pre-processing data and variable selection algorithms, such as interval partial least squares (iPLS), genetic algorithm (GA), successive projection algorithm (SPA) and ordered predictor selection (OPS), was performed. Validation models for SSC and pH had a coefficient of correlation (R2) of 0.95 and 0.90, as well as a root mean square error of prediction (RMSEP) of 0.45 and 0.07, respectively. From these results, it can be concluded that NIR spectroscopy can be used as a nondestructive technique for determining SSC and pH in plums.
机译：这项研究的目的是评估近红外反射光谱法（NIRS）作为确定完整李子的可溶性固形物（SSC）和pH值的快速且无损方法的潜力。从纳塔尔（巴西里奥格兰德州）超级市场收集的总固体含量为5.7％至15％，pH为2.72至3.84的李子样品，并在714-2500 nm范围内获得了近红外光谱。关于一些预处理数据和变量选择算法的一些多元校准技术的比较，例如区间偏最小二乘（iPLS），遗传算法（GA），连续投影算法（SPA）和有序预测变量选择（OPS），被执行了。 SSC和pH的验证模型的相关系数（R2）为0.95和0.90，预测的均方根误差（RMSEP）分别为0.45和0.07。从这些结果可以得出结论，近红外光谱可以用作测定李子中SSC和pH值的一种非破坏性技术。

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