Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, viale dell'Università 16, 35020 Legnaro (PD), Italy.
Department of Genetics and Biostatistics, School of Veterinary Medicine and Zootechnics, National Autonomous University of Mexico, Ciudad Universitaria, 04510 Mexico City, Mexico.
Meat Sci. 2021 Aug;178:108518. doi: 10.1016/j.meatsci.2021.108518. Epub 2021 Apr 15.
The availability of portable and handheld NIR instruments on the market opens up new possibilities in meat analysis. However, there is lack of research comparing different NIR instruments for evaluating beef characteristics from spectra obtained directly on the meat surface. Our aim, therefore, was to build and test calibration and prediction models for predicting beef characteristics, and to compare the performances of three NIR instruments differing in size and characteristics: a transportable visible-NIR spectrometer (Vis-NIRS), a portable (NIRS), and a hand-held Micro-NIRS. Spectra were collected from 178 beef samples (Longissimus thoracis muscle) from the meat surface in the abattoir. The spectra were subjected to different mathematical pretreatments then partial least square regressions. The results showed that all instruments predicted dry matter, protein and lipids with R 0.23 to 0.70; pH and cooking loss R 0.19 to 0.25; and color R 0.35 to 0.77. Overall, the prediction performances of the three instruments were similar, although Micro-NIRS performed better in some respects.
市场上便携式和手持式近红外(NIR)仪器的可用性为肉类分析开辟了新的可能性。然而,缺乏比较不同 NIR 仪器用于直接从肉表面获得的光谱评估牛肉特性的研究。因此,我们的目的是建立和测试用于预测牛肉特性的校准和预测模型,并比较三种在尺寸和特性上不同的 NIR 仪器的性能:便携式可见-近红外光谱仪(Vis-NIRS)、便携式(NIRS)和手持式微型近红外光谱仪(Micro-NIRS)。光谱是从屠宰场肉表面的 178 个牛肉样本(胸最长肌)中采集的。对光谱进行了不同的数学预处理,然后进行了偏最小二乘回归。结果表明,所有仪器对干物质、蛋白质和脂肪的预测值为 0.23 至 0.70;pH 和蒸煮损失的预测值为 0.19 至 0.25;颜色的预测值为 0.35 至 0.77。总体而言,三种仪器的预测性能相似,尽管 Micro-NIRS 在某些方面表现更好。