| 宁燕,司夏丹,潘霞,等.人工养殖大海马药用品质的分级评定研究[J].中国海洋药物,2019,38(4):39-47. |
| 人工养殖大海马药用品质的分级评定研究 |
| A study on grading assessment of cultured seahorse, Hippocampus kuda by medicinal quality |
| 投稿时间：2019-03-28 修订日期：2019-05-08 |
| DOI： |
| 中文关键词: 大海马 外观性状 多元统计学分析 有效成分 等级 |
| English Keywords:seahorses appearance traits multivariate statistical analysis active ingredients class and grade |
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| 中文摘要: |
| 目的 规范海马药材市场秩序，促进产业发展的规范化、科学化。方法 收集不同生长年龄的大海马177份，共1 770尾，对外观性状指标包括形态、色泽、硬度、气味等进行量化，在此基础上运用多元统计学分析分类，有效成分评定等级，再结合生产实际，确定大海马的商品规格等级分类指标，建立判别模型。结果 通过统计学分析将大海马分为四等，每等有2级，共8级，且筛选出形态指标中的体质量（湿质量或干质量）、体长、躯干长/体宽、头长/吻长、体长/头长，色泽指标中的明度指数L?、色品指数b?，气味指标中的R2、R5、R9和有效成分指标中的极性氨基酸、糖蛋白和甾醇含量共10个参数作为划分等级依据。结论 实验表明可以体质量、体长作为评级的首要指标，与传统的经验评价相符，但本文建立的判别模型更全面，准确率高达96.3%，有一定的实际应用意义和参考价值。 |
| English Summary: |
| Objective In order to finely regulate the order of medicine market and to promote the standardization and scientific development of the industry. Methods Different growth ages of Hippocampus kuda (1770 individuals) were collected and determined their shape, color, hardness, and odor. These data were classified by multivariate statistical analysis, and then the seahorses were rated rating by chemical composition. Combined with production practice, a grading model for commodity specifications were developed in this study. Results The results of statistical analysis indicated that the 10 indicators, such as body weight, body length, ratio of trunk length and body width, ratio of head length and snout length, ratio of body length and head length, colors of L?, b?, smells of R2, R5, R9, active ingredients of polar amino acids, glycoproteins, sterols, as the grading indexes. The seahorse was divided into four groups and eight groups by correlation analysis, principal component analysis, cluster analysis and gray relational analysis, and their rationality was verified by fisher discriminant analysis. Conclusion It showed that body weight and body length could be used as the primary indicators of rating, which was consistent with the traditional empirical evaluation. However, the discriminant model established in this paper was more comprehensive and the accuracy rate was as high as 96.3%. This study has certain practical significance and reference value. |
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