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| 香港牡蛎保活过程中生命体征与品质变化规律及预测模型建立 |
| Establishment of a predictive model for changes in vital signs and quality during the preservation process of Hong Kong oysters |
| 投稿时间：2025-03-17 修订日期：2025-04-29 |
| DOI： |
| 中文关键词: 香港牡蛎；生态冰温；生命体征指标 营养品质；多元线性回归模型 |
| 英文关键词: Crassostrea homogenesis Ecological ice temperature Vital signs indicators Nutritional quality multiple linear regression model |
| 基金项目:财政部和农业农村部国家现代农业产业技术体系资助(贝类,CARS-49)；“十四五”国家重点研发计划“海洋农业与淡水渔业科技创新”专项（项目编号：2024YFD2401905） |
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| 中文摘要: |
| 本研究旨在探究不同保活方式对香港牡蛎(Crassostrea hongkongensis)生命体征与品质指标的影响,并建立预测模型。实验将300只牡蛎分为对照组(CK,不净化常温保活)、净化保活组(PL)和生态冰温休眠无水保活组(PD),监测其存活率、微生物含量、生命体征(心率、缩边率、闭壳肌拉力、外套膜响应时间)及营养品质(粗蛋白、糖原、水分、乳酸等)的动态变化。结果显示,PD组在保活9 d后存活率达96%,显著高于CK组(61%)和PL组(70%),且质量损失率与微生物滋生速率最低。PD组的心率下降幅度(79.55%)和闭壳肌拉力损失均低于其他组,表明其能有效缓解应激损伤。营养指标中,糖原和脂肪消耗显著,乳酸随保活时间上升,而PD组的代谢速率最缓。通过多元线性回归分析,建立了蛋白(R2=55.2%)、糖原(R2=96.5%)和水分的预测模型,经验证平均准确率分别为97.82%、96.59%和92.6%。研究表明,生态冰温无水保活技术可显著延长牡蛎存活时间并维持品质,所建模型为实际生产中牡蛎活力监测提供了理论依据。 |
| 英文摘要: |
| The aim of this study is to investigate the effects of different preservation methods on the vital signs and quality indicators of Hong Kong oysters (Crassostrea Hong Kong), and to establish a predictive model. The experiment divided 300 oysters into a control group (CK, non purified room temperature preservation), a purified preservation group (PL), and an ecological ice temperature dormancy waterless preservation group (PD), and monitored their survival rate, microbial content, vital signs (heart rate, shrinkage rate, adductor muscle tension, mantle response time), and dynamic changes in nutritional quality (crude protein, glycogen, water, lactate, etc.). The results showed that the PD group had a survival rate of 96% after 9 days of survival, significantly higher than the CK group (61%) and PL group (70%), and had the lowest quality loss rate and microbial growth rate. The decrease in heart rate (79.55%) and loss of adductor muscle tension in the PD group were lower than those in the other groups, indicating that it can effectively alleviate stress injury. In terms of nutritional indicators, glycogen and fat consumption are significant, lactate increases with survival time, while the metabolic rate of the PD group is the slowest. Through multiple linear regression analysis, predictive models for protein (R 2=55.2%), glycogen (R 2=96.5%), and water content were established, with verified average accuracies of 97.82%, 96.59%, and 92.6%, respectively. Research has shown that the ecological ice temperature waterless preservation technology can significantly prolong the survival time and maintain the quality of oysters, and the established model provides a theoretical basis for monitoring oyster vitality in practical production. |
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