Patel Nageshvar, Toledo-Alvarado Hugo, Cecchinato Alessio, Bittante Giovanni
Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE), University of Padova, 35020 Legnaro, Italy.
Foods. 2020 Oct 1;9(10):1389. doi: 10.3390/foods9101389.
The aim of this study was to test the predictability of a detailed mineral profile of beef using different portable near-infrared spectrometers (NIRS). These devices are rapid, chemical waste-free, cheap, nondestructive tools that can be used directly on the meat surface in the work environment without the need to take samples. We compared a transportable Visible-NIRS (weight 5.6 kg; wavelength 350-1830 nm), a portable NIRS (2.0 kg; 950-1650 nm), and a hand-held Micro-NIRS (0.06 kg; 905-1649 nm) to predict the contents of 20 minerals (measured by ICP-OES) in 178 beef samples ( muscle) using different mathematical pretreatments of the spectra and partial least square regressions. The externally validated results show that Fe, P, Mg, S, Na, and Pb have some potential for prediction with all instruments (: 0.40-0.83). Overall, the prediction performances of the three instruments were similar, although the smallest (Micro-NIRS) exhibited certain advantages.
本研究的目的是使用不同的便携式近红外光谱仪（NIRS）测试牛肉详细矿物质谱的可预测性。这些设备快速、无化学废物、成本低且无损，可以在工作环境中直接用于肉表面，无需取样。我们比较了一台便携式可见-近红外光谱仪（重量5.6千克；波长350-1830纳米）、一台便携式近红外光谱仪（2.0千克；950-1650纳米）和一台手持式微型近红外光谱仪（0.06千克；905-1649纳米），通过对光谱进行不同的数学预处理和偏最小二乘回归来预测178个牛肉样本（肌肉）中20种矿物质的含量（通过电感耦合等离子体质谱法测量）。外部验证结果表明，铁、磷、镁、硫、钠和铅在所有仪器上都有一定的预测潜力（R²：0.40-0.83）。总体而言，尽管最小的仪器（微型近红外光谱仪）表现出一定优势，但这三种仪器的预测性能相似。
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