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On-site quality control of processed land animal proteins using a portable micro-electro-mechanical-systems near infrared spectrometer

机译:使用便携式微机电系统近红外光谱仪对加工过的陆生动物蛋白进行现场质量控制

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This study was carried out using a spectral database comprising 1164 samples of processed land animal proteins provided by a rendering plant located in southern Spain (Seville). A variety of cloning algorithms and strategies were evaluated for the transfer of spectroscopic databases obtained on a FOSS NIR Systems monochromator (FNS), currently in use for at-line NIR analysis in the rendering-industry laboratory, to a MicroPhazir Rx portable micro-electro-mechanical-systems (MEMS)-based NIR spectrometer. Application of the spectral difference by wavelengths algorithm for spectral adjustment using a 10-sample standardisation set enabled standardisation of the two instruments and effective transfer of spectral data: spectral concordance values, as estimated by the RMS(c) statistic, were very similar at 10,829 and 10,388 mu log (1/R) for the master (MEMS-NIR) and satellite instruments (FNS), respectively. Once the database had been transferred to the master, calibration equations were developed to predict moisture, crude protein, ash, crude fat, fat after hydrolysis, digestible protein, Ca and P, with a view to comparing the predictive ability of these equations with that of equations obtained using the satellite. Equations developed in the two instruments displayed similar accuracy and precision.
机译:这项研究是使用光谱数据库进行的,该数据库包含西班牙南部(塞维利亚)提炼厂提供的1164种加工过的陆生动物蛋白样品。评估了多种克隆算法和策略,以将在FOSS NIR Systems单色仪(FNS)上获得的光谱数据库转移到MicroPhazir Rx便携式微电子设备上,该软件目前在渲染工业实验室中用于在线NIR分析。基于机械系统(MEMS)的NIR光谱仪。通过波长算法将光谱差异应用于通过使用10个样本的标准化集进行光谱调整的方法,可实现两种仪器的标准化和光谱数据的有效传输:由RMS(c)统计量估算的光谱一致性值在10,829处非常相似主机(MEMS-NIR)和卫星仪器(FNS)分别为10388 mu log(1 / R)。将数据库转移到主数据库后,将开发校准方程以预测水分,粗蛋白,灰分,粗脂肪,水解后的脂肪,可消化的蛋白质,Ca和P,以期将这些方程的预测能力与卫星获得的方程组。在这两种仪器中开发的方程式显示出相似的精度和精确度。

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