为实现南极磷虾(Euphausia superba)品质的快速评定,本研究将近红外光谱技术(Near infrared spectroscopy,NIRS)与偏最小二乘法(Partial least squares,PLS)相结合,构建用于快速预测磷虾体内非蛋白氮(Non-protein nitrogen,NPN)含量和...为实现南极磷虾(Euphausia superba)品质的快速评定,本研究将近红外光谱技术(Near infrared spectroscopy,NIRS)与偏最小二乘法(Partial least squares,PLS)相结合,构建用于快速预测磷虾体内非蛋白氮(Non-protein nitrogen,NPN)含量和挥发性盐基氮(Total volatile base nitrogen,TVB-N)含量的近红外定量分析模型。采集近红外光谱后,通过比较决定系数(Coefficient of determination,R^(2))、校正标准偏差(Root mean square error of calibration,RMSEC)、预测标准偏差(Root mean square error of prediction,RMSEP)等模型的评价参数,选取近红外光谱定量分析模型的最佳预处理方式、特征光谱范围以及主因子数。结果显示,NPN含量模型的最佳预处理方法为多元散射校正(Multiplicative signal correction,MSC),其特征光谱范围为8887.1~7774.2 cm-1;TVB-N含量模型则采用MSC与卷积平滑(Savitzky-Golay smoothing,SG)相结合的方式进行预处理,建模范围为全波段。两个定量模型的主因子数均为5。经模型的优化与外部验证,最终构建的PLS最优模型如下:NPN含量近红外定量分析模型的R^(2)为0.9384,RMSEC为0.279,RMSEP为0.443;TVB-N含量近红外定量分析模型的R^(2)为0.8685,RMSEC为3.800,RMSEP为4.070。研究结果表明,两个模型均具有良好的预测精度(R^(2)>0.85)和稳定性,其中NPN定量分析模型的预测能力优于TVB-N定量分析模型。综上,本研究基于NIRS与PLS构建的定量分析模型能够有效预测南极磷虾体内的NPN和TVB-N含量,为南极磷虾的品质评价提供了可靠的技术支持,满足快速评定的实际应用需求。展开更多
With the improvement of living standards and the shift in societal consumption attitudes,consumers demand for the quality of aquatic products is increasingly stringent.Freshness and quality have become primary factors...With the improvement of living standards and the shift in societal consumption attitudes,consumers demand for the quality of aquatic products is increasingly stringent.Freshness and quality have become primary factors determining consumers purchasing decisions.However,due to the high moisture content,active endogenous enzymes,and rich nutrients in aquatic products,both fresh and processed products are highly susceptible to quality deterioration during procurement,distribution,and storage,which leads to a significant decline in sensory quality and nutritional value,while also compromising safety.Today,the consumption of high-quality aquatic products has become a prevailing trend.This paper reviewed the methods for freshness evaluation and quality grading of aquatic products in terms of sensory and nutritional aspects,aiming to support the market circulation principle of"higher price for better quality"and"price based on quality",and better meeting consumer demands.Therefore,it is imperative to enhance the analysis and evaluation of aquatic product quality and to continuously refine assessment systems and methods,which is crucial for promoting industry transformation and fostering a healthy market-consumer economic cycle.展开更多
文摘为实现南极磷虾(Euphausia superba)品质的快速评定,本研究将近红外光谱技术(Near infrared spectroscopy,NIRS)与偏最小二乘法(Partial least squares,PLS)相结合,构建用于快速预测磷虾体内非蛋白氮(Non-protein nitrogen,NPN)含量和挥发性盐基氮(Total volatile base nitrogen,TVB-N)含量的近红外定量分析模型。采集近红外光谱后,通过比较决定系数(Coefficient of determination,R^(2))、校正标准偏差(Root mean square error of calibration,RMSEC)、预测标准偏差(Root mean square error of prediction,RMSEP)等模型的评价参数,选取近红外光谱定量分析模型的最佳预处理方式、特征光谱范围以及主因子数。结果显示,NPN含量模型的最佳预处理方法为多元散射校正(Multiplicative signal correction,MSC),其特征光谱范围为8887.1~7774.2 cm-1;TVB-N含量模型则采用MSC与卷积平滑(Savitzky-Golay smoothing,SG)相结合的方式进行预处理,建模范围为全波段。两个定量模型的主因子数均为5。经模型的优化与外部验证,最终构建的PLS最优模型如下:NPN含量近红外定量分析模型的R^(2)为0.9384,RMSEC为0.279,RMSEP为0.443;TVB-N含量近红外定量分析模型的R^(2)为0.8685,RMSEC为3.800,RMSEP为4.070。研究结果表明,两个模型均具有良好的预测精度(R^(2)>0.85)和稳定性,其中NPN定量分析模型的预测能力优于TVB-N定量分析模型。综上,本研究基于NIRS与PLS构建的定量分析模型能够有效预测南极磷虾体内的NPN和TVB-N含量,为南极磷虾的品质评价提供了可靠的技术支持,满足快速评定的实际应用需求。
基金Supported by Tangshan Talent Funding Project in 2025(B202304018).
文摘With the improvement of living standards and the shift in societal consumption attitudes,consumers demand for the quality of aquatic products is increasingly stringent.Freshness and quality have become primary factors determining consumers purchasing decisions.However,due to the high moisture content,active endogenous enzymes,and rich nutrients in aquatic products,both fresh and processed products are highly susceptible to quality deterioration during procurement,distribution,and storage,which leads to a significant decline in sensory quality and nutritional value,while also compromising safety.Today,the consumption of high-quality aquatic products has become a prevailing trend.This paper reviewed the methods for freshness evaluation and quality grading of aquatic products in terms of sensory and nutritional aspects,aiming to support the market circulation principle of"higher price for better quality"and"price based on quality",and better meeting consumer demands.Therefore,it is imperative to enhance the analysis and evaluation of aquatic product quality and to continuously refine assessment systems and methods,which is crucial for promoting industry transformation and fostering a healthy market-consumer economic cycle.
