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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Comparison of Benchtop Fourier-Transform (FT) and Portable Grating Scanning Spectrometers for Determination of Total Soluble Solid Contents in Single Grape Berry (Vitis vinifera L.) and Calibration Transfer
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Comparison of Benchtop Fourier-Transform (FT) and Portable Grating Scanning Spectrometers for Determination of Total Soluble Solid Contents in Single Grape Berry (Vitis vinifera L.) and Calibration Transfer

机译：台式傅立叶变换（FT）和便携式光栅扫描光谱仪在单葡萄浆果（Vitis vinifera L.）中总可溶性固形物含量测定和校准转移的比较

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Near-infrared (NIR) spectroscopy was applied for the determination of total soluble solid contents (SSC) of single Ruby Seedless grape berries using both benchtop Fourier transform (VECTOR 22/N) and portable grating scanning (SupNIR-1500) spectrometers in this study. The results showed that the best SSC prediction was obtained by VECTOR 22/N in the range of 12,000 to 4000 cm−1 (833–2500 nm) for Ruby Seedless with determination coefficient of prediction (Rp2) of 0.918, root mean squares error of prediction (RMSEP) of 0.758% based on least squares support vector machine (LS-SVM). Calibration transfer was conducted on the same spectral range of two instruments (1000–1800 nm) based on the LS-SVM model. By conducting Kennard-Stone (KS) to divide sample sets, selecting the optimal number of standardization samples and applying Passing-Bablok regression to choose the optimal instrument as the master instrument, a modified calibration transfer method between two spectrometers was developed. When 45 samples were selected for the standardization set, the linear interpolation-piecewise direct standardization (linear interpolation-PDS) performed well for calibration transfer with Rp2 of 0.857 and RMSEP of 1.099% in the spectral region of 1000–1800 nm. And it was proved that re-calculating the standardization samples into master model could improve the performance of calibration transfer in this study. This work indicated that NIR could be used as a rapid and non-destructive method for SSC prediction, and provided a feasibility to solve the transfer difficulty between totally different NIR spectrometers.
机译：本研究使用台式傅里叶变换（VECTOR 22 / N）和便携式光栅扫描（SupNIR-1500）光谱仪将近红外（NIR）光谱用于测定单个Rubyless无核葡萄浆果的总可溶性固形物（SSC）。 。结果表明，VECTOR 22 / N在Ruby Seedless的12,000至4000 cm -1 （833–2500 nm）范围内获得了最佳的SSC预测，并具有确定的预测系数（Rp 2 ）为0.918，基于最小二乘支持向量机（LS-SVM）的预测均方根误差（RMSEP）为0.758％。基于LS-SVM模型，在两台仪器的相同光谱范围（1000-1800 nm）上进行了校准转移。通过对Kennard-Stone（KS）进行样品组划分，选择最佳数量的标准化样品并通过Passing-Bablok回归选择最佳仪器作为主仪器，开发了一种改进的两台光谱仪之间的校准传递方法。当选择45个样本作为标准化集时，线性插值逐段直接标准化（线性插值-PDS）在Rp 2 为0.857，RMSEP为1.099％的光谱范围内表现良好。 1000–1800 nm。事实证明，在本研究中，将标准化样品重新计算为主模型可以提高校准传递的性能。这项工作表明，近红外可以作为一种快速，无损的SSC预测方法，并为解决完全不同的近红外光谱仪之间的转移难题提供了可行性。

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