| 前表面荧光光谱法鉴别不同冷藏时间的大黄鱼鲜度 |
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| 引用本文： | 苏文华,汤海青,欧昌荣,高亚文,张梦思,李亚敏,昝春兰.前表面荧光光谱法鉴别不同冷藏时间的大黄鱼鲜度[J].核农学报,2020,34(2):339-347. |
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| 作者姓名： | 苏文华 汤海青 欧昌荣 高亚文 张梦思 李亚敏 昝春兰 |
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| 作者单位： | 1宁波大学海洋学院,浙江 宁波 315211; 2浙江医药高等专科学校食品学院,浙江 宁波 315100 |
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| 基金项目： | 衡水学院委托项目;宁波市科技局富民项目;富民强县专项;浙江省公益研究项目 |
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| 摘 要： | 为研究前表面荧光光谱法在水产品品质评价方面的应用,利用前表面荧光对不同冷藏时间的大黄鱼肌肉进行扫描,对色氨酸和烟酰胺腺嘌呤二核苷酸(NADH)的荧光光谱数据进行主成分分析(PCA)和Fisher线性判别分析(FLDA),并运用偏最小二乘回归(PLSR)建立了大黄鱼鱼肉荧光光谱数据和冷藏时间的预测模型。结果表明,用PCA方法提取色氨酸和NADH荧光光谱的有效信息,所建模型可区分不同冷藏时间(0~8 d)的大黄鱼样品,且色氨酸作为内源荧光探针的分析效果更好;用FLDA方法分析色氨酸和NADH荧光光谱,留一法(leave-one-out)交叉验证的判别正确率分别为100%和98%,对不同冷藏时间的大黄鱼区分效果优于PCA方法;PLSR模型中色氨酸和NADH荧光光谱的校正集和预测集的相关系数均大于0.9,交互验证均方根误差(RMSECV)分别约为1.13、0.41,校正集均方根误差(RMSEC)/预测集均方根误差(RMSEP)分别约为0.53、0.99,通过NADH荧光光谱建立的PLSR模型预测能力较好。前表面荧光光谱法结合化学计量学技术能够对不同冷藏时间的大黄鱼进行有效区分。本研究结果为前表面荧光光谱技术在大黄鱼冷藏保鲜中对冷藏时间的预测提供了一定的理论依据。
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| 关 键 词： | 大黄鱼 冷藏时间 前表面荧光光谱 化学计量学 |
| 收稿时间： | 2018-08-14 |
Discrimination of the Freshness of Pseudosciaena crocea With Different Storage Time Using Front-Face Fluorescence Spectroscopy |
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| SU Wenhua,TANG Haiqing,OU Changrong,GAO Yawen,ZHANG Mengsi,LI Yamin,ZAN Chunlan.Discrimination of the Freshness of Pseudosciaena crocea With Different Storage Time Using Front-Face Fluorescence Spectroscopy[J].Acta Agriculturae Nucleatae Sinica,2020,34(2):339-347. |
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| Authors: | SU Wenhua TANG Haiqing OU Changrong GAO Yawen ZHANG Mengsi LI Yamin ZAN Chunlan |
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| Institution: | 1School of Marine Sciences, Ningbo University, Ningbo, Zhejiang 315211; 2Faculty of Food Science, Zhejiang Pharmaceutical College, Ningbo, Zhejiang 315100 |
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| Abstract: | In order to investigate the application of front-face fluorescence spectroscopy in evaluating the quality of aquatic products, the back muscle of large yellow croaker (Pseudosciaena crocea) with different storage period were scanned by front-face fluorescence. The spectra data of tryptophan and nicotinamide adenine dinucleotide (NADH) of Pseudosciaena crocea according to different refrigerated time were analyzed using principal component analysis (PCA) and fisher linear discriminant analysis (FLDA). Partial least squares regression (PLSR) was used to establish the prediction model of fluorescence spectrum data and cold storage time of Pseudosciaena crocea. The results showed that PCA could clearly distinguish Pseudosciaena crocea samples with different storage time(0-8 d), and tryptophan as an endogenous fluorescent probe, was more suitable than NADH in analyzing the quality of Pseudosciaena crocea. FLDA analysis showed that the leave-one-out cross-validation of tryptophan and NADH fluorescence spectra reached 100% and 98%, respectively, indicating that a better classification was obtained by FLDA. PLSR results showed that the correlation coefficient between the calibration set of fluorescence spectra of tryptophan and predicted set of fluorescence spectra of NADH reached 0.9, while the RMSECV were approximately 1.13 and 0.41 and the RMSEC/RMSEP were about 0.53 and 0.99, respectively. These results suggested that PLSR model that established by NADH fluorescence spectroscopy had well predictive ability. Collectively, the front-face fluorescence spectroscopy in combination with chemometrics can effectively distinguish Pseudosciaena crocea with different refrigerated storage time. The results provide a theoretical basis for the application of front-face fluorescence spectroscopy and evaluation of freshness of Pseudosciaena crocea. |
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| Keywords: | large yellow croaker(Pseudosciaena crocea) refrigerated time front-face fluorescence spectroscopy chemometrics |
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