Development of freshness monitoring technology for advanced distribution system in fruits and vegetables

采后低氧贮藏显著降低了菠菜叶片的膜脂过氧化作用。采用偏最小二乘回归(PLSR)的可见光-近红外光谱技术(PLSR)建立了叶片中丙二醛当量浓度的预测模型，相关系数大于0.75，均方根误差小于29nmolGDW^~(-1)~(-1)，表明所建立的模型具有足够的精度用于新鲜度评价的粗略筛选。

Low oxygen storage reduced significantly lipid peroxidation in spinach leaves after harvest. VIS-NIR spectroscopy with partial least square regression (PLSR) allowed constructing a prediction model for the concentration of MDA equivalent in the leaves with more than 0.75 of correlation coefficient and less than 29 nmol gDW^<-1>of root mean square error, indicating that the developed model had sufficient accuracies for rough screening of the freshness evaluation.