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首页> 外文期刊>Canadian Journal of Animal Science >Using portable near-infrared spectroscopy to predict pig subcutaneous fat composition and iodine value
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Using portable near-infrared spectroscopy to predict pig subcutaneous fat composition and iodine value

机译：使用便携式近红外光谱预测猪皮下脂肪组合物和碘值

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This study tested the potential of portable near-infrared spectroscopy (NIRS) to predict fatty acids (FA) composition and iodine value (IV) of pig subcutaneous fat. Following carcass splitting, the inner layer of subcutaneous fat at the shoulder from the left carcass side was scanned using a hand-held NIRS probe (350 - 2500 nm) and analysed for FA composition using gas chromatography. The NIRS successfully predicted the total polysaturated fatty acids (PUFA) and n-3 FA proportions, polyunsaturated/saturated fatty acids (PUFA/SFA) ratio, and IV (R-2 = 0.90-0.95; root-mean-square error of prediction, RMSEP = 0.019%-1.03% total FA). This portable technology also met the requirements for a quick screening of the proportions of total SFA, monounsaturated fatty acids (MUFA) and n-6 FA, n-6/n-3 ratio, and some individual FA such as C18:2n-6 and C18: 3n-3 (R-2 = 0.80-0.89; RMSEP = 0.37%-1.11% total FA). However, unreliable predictions were found for other individual FA with low variability (coefficient of variation = 4%-8%) such as C16: 0, C18: 0, and C18: 1 (R-2 = 0.60 - 0.77; RMSEP = 0.76%-1.00% total FA). These results show portable NIRS as a suitable technology to predict pig fat quality. In addition, this study has been successful in implementing this portable NIRS technology in a research abattoir to collect spectra directly on the carcass, which would enable carcass sorting based on fat composition or hardness for marketing purposes.
机译：本研究测试了便携式近红外光谱（NIRS）预测猪皮下脂肪脂肪酸（FA）组成和碘值（IV）的潜力。胴体分割后，使用手持式NIRS探针（350-2500 nm）扫描左胴体侧肩部的皮下脂肪内层，并使用气相色谱法分析脂肪酸组成。NIRS成功预测了总多饱和脂肪酸（PUFA）和n-3 FA比例、多不饱和/饱和脂肪酸（PUFA/SFA）比例和IV（R-2=0.90-0.95；预测均方根误差，RMSEP=0.019%-1.03%总FA）。这种便携式技术还满足了快速筛选总SFA、单不饱和脂肪酸（MUFA）和n-6 FA、n-6/n-3比率以及一些单独FA（如C18:2n-6和C18:3n-3）（R-2=0.80-0.89；RMSEP=0.37%-1.11%总FA）比例的要求。然而，对于其他变异性较低（变异系数=4%-8%）的个体FA，如C16:0、C18:0和C18:1（R-2=0.60-0.77；RMSEP=0.76%-1.00%总FA），发现预测不可靠。这些结果表明便携式近红外光谱技术是预测猪脂肪质量的合适技术。此外，这项研究成功地在一个研究屠宰场实施了这种便携式近红外技术，直接在屠体上收集光谱，这将使屠体能够基于脂肪成分或硬度进行分类，用于营销目的。

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