AI Article Synopsis
- The study analyzed discrepancies in fatty acid compositions measured by gas chromatography (GC) and near-infrared fiber-optic method (NIR) in bovine fat, focusing on refractive index values.
- Using intermuscular fat from 45 crossbreeds, the researchers found that both SFA and MUFA measurements had strong correlations (≥ 0.8) between GC and NIR and with refractive index.
- The findings suggested that measurement errors lead to significant differences (over 3%) between GC and NIR, and reanalyzing GC samples using refractive index could enhance accuracy by slightly reducing these discrepancies.
Article Abstract
The causes of the difference in fatty acid composition between gas chromatography (GC) and near-infrared fiber-optic method (NIR) in bovine fat and their countermeasures were studied using absolute values of refractive index. Using intermuscular fat from 45 crossbreeds, refractive index was measured by using a refractometer, and saturated fatty acids (SFA) and monounsaturated fatty acids (MUFA) were measured by NIR and GC. The correlation coefficients between GC and NIR in SFA and MUFA, as well as those between refractive index and GC or NIR (in SFA and MUFA), were all greater than or equal to 0.8 (p < 0.01). In samples with 3% or more difference between GC and NIR in SFA and MUFA, GC and NIR values were often located in opposite directions to the regression lines with regard to refractive index. GC reanalysis on these samples slightly increased the correlation coefficient between GC and refractive index and reduced the difference between GC and NIR by 1%-2%. Results indicate that measurement errors in GC and NIR are related to their more than 3% difference, and GC reanalysis based on refractive index may improve its accuracy.
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| http://dx.doi.org/10.1111/asj.13844 | DOI Listing |
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