2019-2020年铜陵牡丹籽营养成分及其流失数据集
收稿日期: 2023-06-26
录用日期: 2023-11-27
网络出版日期: 2024-01-27
基金资助
国家中医药管理局中药标准化项目(ZYBZH-Y-AH-05);国家重点研发计划中医药现代化研究专项(2018YFC1707004)
Dataset of Nutrient Components and Its Loss of Tongling Tree Peony Seed in 2019-2020
Received date: 2023-06-26
Accepted date: 2023-11-27
Online published: 2024-01-27
铜陵牡丹(凤丹)是近年来得到普遍关注的新兴油料作物。研究牡丹籽的营养成分及其流失规律,不仅是铜陵牡丹种植和加工产业的基础性需求,而且对其药用、食用等相关产业的发展也具有重要意义。传统上相关研究数量较少,可供使用的研究数据更为稀少。本文主要以铜陵道地产区和亳州主产区的特色牡丹的成熟种子为样本,综合运用索氏抽提法、紫外分光光度法、气相色谱法和氨基酸测定法等方法,测定了不同产地与贮藏时期种子的粗油、总蛋白、脂肪酸组成及16种氨基酸等营养成分含量。本数据集初步给出了不同产地与贮藏条件下牡丹籽的营养成分,对于牡丹种子发芽、籽粒加工和合理贮藏具有直接的学术参考价值。
数据摘要:
| 项目 | 描述 |
|---|---|
| 数据库(集)名称 | 2019—2020年铜陵牡丹籽营养成分及其流失数据集 |
| 所属学科 | 食品科学、农业科学 |
| 数据时间范围 | 2020年10—12月 |
| 数据地理空间覆盖 | 安徽铜陵、亳州 |
| 数据类型与技术格式 | .xlsx |
| 数据库(集)组成 | 1个文件夹中6个Excel格式表 |
| 数据量 | 7.26 MB |
| 主要数据指标 | 牡丹籽油蛋白质含量、牡丹籽油的脂肪酸组成与百分含量、牡丹籽油的氨基酸组成与含量 |
| 数据可用性 | CSTR:17058.11.595DD8.20230705.10.ds.3696 DOI:10.12205/595DD8.20230705.10.ds.3696 |
| 经费支持 | 国家重点研发计划中医药现代化研究专项;(2018YFC1707004) 国家中医药管理局中药标准化项目 (ZYBZH-Y-AH-05) |
周慧银, 方成武 . 2019-2020年铜陵牡丹籽营养成分及其流失数据集[J]. 农业大数据学报, 2024 , 6(1) : 33 -39 . DOI: 10.19788/j.issn.2096-6369.100001
Tree peony is an emerging oil crop that has received widespread attention in recent years. Studying the nutritional composition and loss patterns of tree peony seeds is not only a fundamental requirement for the tree peony planting and processing industry, but also of great significance for the development of related industries such as tree peony medicine and food. Traditionally, the number of related studies is relatively small, and the available research data are even rarer. This article mainly takes mature seeds of characteristic peonies from the Tongling area and the main production area Bozhou as samples. Firstly, the authenticity and viability of the seeds are identified using microscopy and TTC staining, and then the seeds are powdered for future use. Secondly, the soxhlet extraction method was used to measure the crude fat oil content in peony seeds, which ranges from 22.67% to 29.66%. The protein content in peony seeds was measured to be around 11.76%-21.17% using the second method of food protein determination standard method - ultraviolet spectrophotometry. After methyl esterification of fresh oil from tree peony seed oil, it was separated and detected by GC-MS (GC7890B-MSD5977A gas chromatography-mass spectrometry). Further retrieval was conducted using the NISTsearch2.0 standard spectral library, and artificial spectral analysis was conducted in conjunction with relevant literature to determine the 31 fatty acid compositions of tree peony seed oil. Finally,? the relative content of each component was calculated using peak area normalization method. After acid hydrolysis of fresh oil from tree peony seeds, 16 amino acids and their contents were measured using Hitachi L-8900 high-speed amino acid analyzer. The dataset for determining the nutritional composition of tree peony seeds provides preliminary information on the nutritional composition of tree peony seeds under different production and storage conditions, which has direct academic reference value for tree peony seed germination, seed processing, and reasonable storage.
Data summary:
| Item | Description |
|---|---|
| Database(Set) name | Dataset of Nutrient Components and Its Loss of Tongling Tree Peony Seed in 2019-2020 |
| Specific subject area | Food science, agricultural science |
| Time range | October - December, 2020 |
| Geographical scope | Tongling and Bozhou, Anhui Province |
| Data types and technical formats | .xlsx |
| Dataset structure | There are 6 Excel spreadsheets in 1 folder |
| Volume of data | 7.26 MB |
| Key index in dataset | The quantity and protein of peony seed oil, the composition and percentage of different fatty acids in peony seed oil, and the content of different amino acids in peony seed oil |
| Data accessibility | CSTR:17058.11.595DD8.20230705.10.ds.3696 DOI:10.12205/595DD8.20230705.10.ds.3696 |
| Financial support | National Key R&D Plan for Modernization of Traditional Chinese Medicine Research Special Project (2018YFC1707004); Traditional Chinese Medicine Standardization Project of the National Administration of Traditional Chinese Medicine (ZYBZH-Y-AH-05) |
Key words: Paeonia ostii; peony seed oil; protein; fatty acid; amino acid
| [1] | 李意, 赵华. 牡丹在食品行业应用的综述[J]. 酿酒, 2022, 49(3): 32-34. |
| [2] | 钱森和, 李方凯, 屠西猛, 等. 牡丹籽多肽微胶囊的制备、表征及缓释性能[J]. 中国油脂, 2022, 47(10):33-38. |
| [3] | 刘向慧, 张岩松, 袁铭, 等. 牡丹不同部位的护肤功效研究进展[J]. 山东化工, 2020, 49(23):71-73. |
| [4] | 陈晨, 李成忠, 张焕新, 等. 响应面法优化牡丹籽粕蛋白提取工艺及其功能性质[J]. 食品工业, 2023, 44(3):10-14. |
| [5] | 贺洋洋, 张明真, 刘旭旭, 等. 响应面法优化甘肃平凉牡丹籽超声-微波提取工艺的研究[J]. 声学技术, 2023, 42(1):52-56. |
| [6] | 秦亚龙, 彭峰, 束晓春, 等. 凤丹牡丹籽油提取及其脂肪酸组分分析[J]. 分子植物育种, 2016, 14(7):1847-1851. |
| [7] | 田福忠, 彭勇, 周天华, 等. α-亚麻酸在疾病治疗中的研究进展[J]. 农业与技术, 2019, 39(17):23-24. |
| [8] | 梅松, 陈建国, 刘冬英, 等. 牡丹籽油辅助降血脂疗效的研究[J]. 心脑血管病防治, 2020, 20(2):146-148. |
| [9] | 李梅青, 周鑫, 王增蕾. 凤丹籽油对肝癌HepG2细胞抑制作用的研究[J]. 中国粮油学报, 2018, 33(1):80-84+91. |
| [10] | 邓瑞雪, 杨晓, 屈春笑, 等. 3种芍药属植物种子不同部位成分分析[J]. 食品科学, 2019, 40(8):141-148. |
| [11] | 李洁, 张国强, 石晓峰, 等. 牡丹籽及其榨油废弃物籽粕、籽皮化学成分的研究进展[J]. 甘肃医药, 2020, 39(4):296-300. |
| [12] | 陈毓, 陈巍, 李锋涛. 牡丹籽油的化学成分及药理作用研究进展[J]. 畜牧与饲料科学, 2019, 40(10):84-86. |
| [13] | 田潇. 凤丹籽化学成分和抗肿瘤活性研究[D]. 西安: 西北大学, 2017. |
| [14] | 聂莹, 朱大洲, 孙君茂, 等. 牡丹籽油成分研究及基于营养视角下的产业对策[J]. 食品科技, 2020, 45(11):192-196. |
| [15] | 刘玉军, 索俊玲, 孙志强, 等. 牡丹籽活性成分及综合开发利用研究进展[J]. 食品与药品, 2020, 22(4):321-324. |
| [16] | 袁琴琴, 刘文营. 牡丹籽中营养和功能性成分研究进展[J]. 食品工业科技, 2019, 40(17):333-339. |
| [17] | https://a.agridata.cn/api/File/HJEntity/NASDC-AD-20230627-001/Dataset/2019-2020年铜陵牡丹籽营养成分及其流失数据_638240829959250290.xlsx. |
| [18] | 中华人民共和国国家质量监督检验总局. GB/T144881—2008 植物油料含油量测定[S]. 北京: 中国标准出版社, 2008. |
| [19] | 中华人民共和国卫生部. GB/T 5009.5—2010食品中蛋白质的测定[S]. 北京: 中国标准出版社, 2010. |
| [20] | 陈晓, 易雪平, 倪穗. 索氏提取法提取牡丹籽油的工艺优化研究[J]. 中国野生植物资源, 2020, 39(5):29-33+37. |
| [21] | 中华人民共和国卫生部GB/T5009.124—2016. 食品中氨基酸的测定[S]. 北京: 中国标准出版社, 2016. |
| [22] | 蚁碧珍, 王锦源. 氨基酸分析仪测定蜂蜜氨基酸组成的研究[J]. 现代食品, 2020,(19):176-180. |
| [23] | 侯娜, 王纪辉, 吴运辉, 等. 贵州不同引种地油用牡丹种子营养成分含量分析[J]. 西南林业大学学报(自然科学), 2017, 37(6):36-40. |
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