USDA, Agricultural Research Service, Richard B. Russell Research Center, Athens, GA 30605
USDA, Agricultural Research Service, Richard B. Russell Research Center, Athens, GA 30605.
Poult Sci. 2014 Jul;93(7):1834-41. doi: 10.3382/ps.2013-03651. Epub 2014 May 26.
The feasibility of using visible/near-infrared spectroscopy (vis/NIR) to segregate broiler breast fillets by water-holding capacity (WHC) was determined. Broiler breast fillets (n = 72) were selected from a commercial deboning line based on visual color assessment. Meat color (Lab*), pH (2 and 24 h), drip loss, and salt-induced water uptake were measured. Reflectance measurements were recorded from 400 to 2,500 nm in both raw and freeze-dried breast meat samples. Raw and freeze-dried samples had similar spectra in the visible region (400-750 nm), but the freeze-dried samples exhibited numerous bands in the NIR region (750-2,500 nm) corresponding to muscle proteins and lipids that were not observed in the NIR spectra of the raw samples. Linear discriminate analyses were used to classify fillets as high-WHC or low-WHC according to predicted meat quality characteristics. Using the visible spectra (400-750 nm), fillets could be correctly classified into high-WHC and low-WHC groups based on drip loss and salt-induced water uptake with 88 to 92% accuracy in raw samples and 79 to 86% accuracy in freeze-dried samples. Using the NIR spectra (750-2,500 nm), fillets could be correctly classified into high-WHC and low-WHC groups with 74 to 76% accuracy in raw samples and 85 to 86% accuracy in freeze-dried samples. Thus, freeze-drying enhanced the accuracy of WHC classification using the NIR portion of the spectra. Data from this study demonstrate the potential for utilizing vis/NIR spectroscopy as a method for classifying broiler breast meat according to WHC.
利用可见/近红外光谱(vis/NIR)根据水分保持能力(WHC)对肉鸡胸脯肉进行细分的可行性。根据视觉颜色评估,从商业去骨线上选择肉鸡胸脯肉(n=72)。测量肉色(Lab*)、pH(2 和 24 小时)、滴水损失和盐诱导的水分吸收。在原始和冻干鸡胸肉样本中记录了从 400 到 2500nm 的反射测量值。原始和冻干样本在可见光区(400-750nm)具有相似的光谱,但冻干样本在近红外区(750-2500nm)显示出许多与肌肉蛋白质和脂质对应的谱带,这些谱带在原始样本的近红外光谱中未观察到。线性判别分析用于根据预测的肉质特性将肉片分类为高水分保持能力或低水分保持能力。使用可见光谱(400-750nm),根据滴水损失和盐诱导的水分吸收,原始样本的准确率为 88%至 92%,冻干样本的准确率为 79%至 86%,可以正确地将肉片分类为高水分保持能力和低水分保持能力组。使用近红外光谱(750-2500nm),原始样本的准确率为 74%至 76%,冻干样本的准确率为 85%至 86%,可以正确地将肉片分类为高水分保持能力和低水分保持能力组。因此,冻干增强了使用光谱近红外部分对 WHC 进行分类的准确性。本研究的数据表明,利用 vis/NIR 光谱根据 WHC 对肉鸡胸脯肉进行分类是一种有潜力的方法。