CSIRO Food Futures Flagship, CSIRO Marine and Atmospheric Research, GPO Box 1538, Hobart, Tasmania 7001, Australia; National Centre for Marine Conservation and Resource Sustainability, University of Tasmania, Locked bag 1370, Launceston, Tasmania 7250, Australia; Australian Seafood Cooperative Research Centre, Australia.
CSIRO Food Futures Flagship, CSIRO Marine and Atmospheric Research, GPO Box 1538, Hobart, Tasmania 7001, Australia.
Food Chem. 2011 Jun 15;126(4):1817-20. doi: 10.1016/j.foodchem.2010.12.078. Epub 2010 Dec 23.
Near infrared reflectance spectroscopy (NIRS) was used to predict glycogen concentrations in the foot muscle of cultured abalone. NIR spectra of live, shucked and freeze-dried abalones were modelled against chemically measured glycogen data (range: 0.77-40.9% of dry weight (DW)) using partial least squares (PLS) regression. The calibration models were then used to predict glycogen concentrations of test abalone samples and model robustness was assessed from coefficient of determination of the validation (R2(val)) and standard error of prediction (SEP) values. The model for freeze-dried abalone gave the best prediction (R2(val) 0.97, SEP=1.71), making it suitable for quantifying glycogen. Models for live and shucked abalones had R2(val) of 0.86 and 0.90, and SEP of 3.46 and 3.07 respectively, making them suitable for producing estimations of glycogen concentration. As glycogen is a taste-active component associated with palatability in abalone, this study demonstrated the potential of NIRS as a rapid method to monitor the factors associated with abalone quality.
近红外反射光谱（NIRS）被用于预测养殖鲍鱼足部肌肉中的糖原浓度。使用偏最小二乘法（PLS）回归，对活体、去壳和冻干鲍鱼的近红外光谱与化学测量的糖原数据（范围：干重的 0.77-40.9%）进行建模。然后，使用校准模型预测测试鲍鱼样本中的糖原浓度，并从验证的确定系数（R2（val））和预测标准误差（SEP）值评估模型稳健性。冻干鲍鱼的模型给出了最佳预测（R2（val）为 0.97，SEP=1.71），因此适合定量糖原。活体和去壳鲍鱼的模型的 R2（val）分别为 0.86 和 0.90，SEP 分别为 3.46 和 3.07，因此适合产生糖原浓度的估计值。由于糖原是与鲍鱼口感相关的活性成分，该研究表明 NIRS 作为一种快速监测与鲍鱼质量相关因素的方法具有潜力。
