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鲤鱼鱼片在冷冻贮藏下脂质和蛋白质的变化及径向基函数神经网络(RBFNN)的建立

Changes in Lipids and Proteins of Common Carp () Fillets under Frozen Storage and Establishment of a Radial Basis Function Neural Network (RBFNN).

作者信息

Kong Chunli, Duan Caiping, Zhang Yixuan, Shi Ce, Luo Yongkang

机构信息

School of Food and Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing 100048, China.

Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Cold Chain Logistics Technology for Agro-Product, Ministry of Agriculture and Rural Affairs, Beijing 100097, China.

出版信息

Foods. 2023 Jul 19;12(14):2741. doi: 10.3390/foods12142741.

Abstract

Storage via freezing remains the most effective approach for fish preservation. However, lipid oxidation and protein denaturation still occur during storage, along with nutritional loss. The extent of lipid alteration and protein denaturation are associated with human health defects. To precisely predict common carp () nutritional quality change during frozen storage, here, we first determined lipid oxidation and hydrolysis and protein denaturation of common carp fillets during 17 weeks of frozen preservation at 261 K, 253 K, and 245 K. Results showed that the content of thiobarbituric acid reactive substances (TBARS) and free fatty acids (FFA) were significantly increased. However, salt-soluble protein (SSP) content, Ca-ATPase activity, and total sulfhydryl (SH) content kept decreasing during frozen storage, with SSP content decreasing by 64.82%, 38.14%, and 11.24%, respectively, Ca-ATP enzyme activity decreasing to 12.50%, 18.52%, and 28.57% Piμmol/mg/min, and SH values decreasing by 70.71%, 64.92%, and 56.51% at 261 K, 253 K, and 245 K, respectively. The values at 261 K decreased more than that at 253 K and 245 K ( < 0.05). Ca-ATPase activity was positively correlated (r = 0.96) with SH content. Afterwards, based on the results of the above chemical experiments, we developed a radial basis function neural network (RBFNN) to predict the modification of lipid and protein of common carp fillets during frozen storage. Results showed that all the relative errors of experimental and predicted values were within ±10%. In summary, the quality of common carp can be well protected at 245 K, and the established RBFNN could effectively predict the quality of the common carp under frozen conditions at 261-245 K.

摘要

冷冻储存仍然是鱼类保鲜最有效的方法。然而,在储存过程中仍会发生脂质氧化和蛋白质变性,同时伴随着营养成分的流失。脂质变化和蛋白质变性的程度与人体健康缺陷有关。为了精确预测鲤鱼在冷冻储存期间的营养品质变化,在此,我们首先测定了鲤鱼鱼片在261 K、253 K和245 K下冷冻保存17周期间的脂质氧化、水解以及蛋白质变性情况。结果表明,硫代巴比妥酸反应性物质(TBARS)和游离脂肪酸(FFA)的含量显著增加。然而,盐溶性蛋白(SSP)含量、钙-ATP酶活性和总巯基(SH)含量在冷冻储存期间持续下降,在261 K、253 K和245 K时,SSP含量分别下降了64.82%、38.14%和11.24%,钙-ATP酶活性分别降至12.50%、18.52%和28.57% Piμmol/mg/min,SH值分别下降了70.71%、64.92%和56.51%。261 K时的值下降幅度大于253 K和245 K时的值(P<0.05)。钙-ATP酶活性与SH含量呈正相关(r = 0.96)。之后,基于上述化学实验结果,我们开发了一种径向基函数神经网络(RBFNN)来预测鲤鱼鱼片在冷冻储存期间脂质和蛋白质的变化。结果表明,实验值和预测值的所有相对误差均在±10%以内。综上所述,鲤鱼在245 K下品质能得到较好保护,所建立的RBFNN能够有效预测261 - 245 K冷冻条件下鲤鱼的品质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/373b/10379316/d44c6edcfdc8/foods-12-02741-g001.jpg

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