Zhou Yunhai, Jiao Leizi, Wu Jianwei, Zhang Yunhe, Zhu Qingzhen, Dong Daming
National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Food Chem. 2023 Oct 1;422:136189. doi: 10.1016/j.foodchem.2023.136189. Epub 2023 Apr 24.
There is strong interest in non-destructive and rapid determination of food freshness in food research. In this study, mid-infrared (MIR) fiber-optic evanescent wave (FOEW) spectroscopy was applied to monitor shrimp freshness through the evaluation of protein, chitin, and calcite contents in conjunction with a Partial Least Squares Discriminant Analysis (PLS-DA) model. Shrimp shells were wiped with a micro fiber-optic probe to obtain a FOEW spectrum which quickly and nondestructively allowed evaluation of the shrimp freshness. Peaks for proteins, chitin, and calcite, which are closely related to shrimp freshness, were detected and quantified. Compared with the standard indicator for evaluating shrimp freshness (total volatile basic nitrogen), the PLS-DA model gave recognition rates for shrimp freshness using calibration and validation sets of the FOEW data of 87.27%, 90.28%, respectively. Our results show that FOEW spectroscopy is a feasible method for non-destructive and in-site detection of shrimp freshness.
在食品研究中,人们对食品新鲜度的无损快速测定有着浓厚兴趣。在本研究中,中红外(MIR)光纤倏逝波(FOEW)光谱技术结合偏最小二乘判别分析(PLS - DA)模型,通过评估蛋白质、几丁质和方解石含量来监测虾的新鲜度。用微光纤探头擦拭虾壳以获取FOEW光谱,该光谱能快速无损地评估虾的新鲜度。检测并量化了与虾新鲜度密切相关的蛋白质、几丁质和方解石的峰。与评估虾新鲜度的标准指标(总挥发性盐基氮)相比,PLS - DA模型利用FOEW数据的校正集和验证集对虾新鲜度的识别率分别为87.27%、90.28%。我们的结果表明,FOEW光谱技术是一种用于虾新鲜度无损现场检测的可行方法。