制油方法和精炼过程对麻疯籽油品质的影响

为更好地了解油脂加工过程对麻疯籽油品质的影响,对比研究了浸出和压榨2种制油方法对麻疯籽油理化指标、脂肪酸组成的影响,并研究了浸出麻疯籽油在精炼过程中的品质变化。结果表明:2种制油方法制备的麻疯籽油在理化指标上存在较大差异,但在脂肪酸组成上并没有显著差异;与压榨法相比,浸出法制备的麻疯籽油具有较高的酸值、碘值、过氧化值、皂化值以及磷脂含量;麻疯籽油中的主要甘三酯为LOO(17.86%),LLO(16.02%),POL(14.06%),POO(7.14%),LLP(6.58%),OOO(6.44%),St OL(6.38%);此外,精炼对麻疯籽油的主要脂肪酸组成基本没有影响,但精炼后麻疯籽油的酸值、过氧化值、碘值和皂化值均明显降低

《中国植被志》研编内容与规范

植被志是基于植被(或植物群落)调查资料,全面记叙植被的外貌、物种组成、结构和功能,以及地理分布和生境条件等特征,并对同类植被进行归纳和总结的志书。《中国植被志》是第一部对中国植被进行全面记述的志书,预计完成约48卷110册。在借鉴《中国植被》(1980)(简称"80方案")植被分类基本原则的基础上,《中国植被志》将对中国植被分类系统的高级分类单位(植被型组、植被型和植被亚型)进行归纳和总结,对中级和低级分类单位(群系组、群系、亚群系,群丛组、群丛)进行详细描述。植被高级分类单位的描述具有概括性质,是在中国植被分类系统中级和低级分类单位描述的基础上,对其在全球和中国境内的地理分布、自然环境、群落外貌、植被类型及多样性、优势种或共优势种、生物多样性保育价值以及资源现状等进行概述,并对"80方案"相关内容进行修订和拓展,将提供对中国植被基本特征客观、准确的记述。在植被中级和低级分类单位中,群系组描述的内容包括地理分布、自然环境、群落外貌、植被类型以及价值与保育等内容;群系描述的主要内容包括地理分布、自然环境、生态特征、物种组成、群落结构、群丛组和群丛的分类与描述、优势种的生物学特性、生物量与生产力、植被动态与演替以及价值与保育等方面。作为植被志研编的核心内容,群丛组和群丛的分类与描述主要基于植被调查资料,采用数量分类方法,根据群落结构和物种组成的差异划分出不同的植被类型,并对其基本特征进行定量描述和归纳。其中,群落的层片结构、特定植被分类单元的特征种或特征种组的筛选与甄别是植被类型划分的关键环节;而群落外貌,群落结构,物种组成,各类物种的生长习性、生境的偏适性等是群丛组和群丛描述与归纳的重点内容。该文提出了中国植被中级和低级分类单位的命名方案,其特点在于植被类型的科学名称中同时体现了植被分类单元特征种或优势种的名称及其所属的高级植被分类单位(植被型组或植被型)的名称,兼顾了植被名称的规范性与实用性。《中国植被志》的研编工作由文献整编、群落调查、数据分析与整理、文本撰写等环节组成。该文对植被样方的调查与收集,文献收集与整编,气候、土壤、地形等相关数据的来源及其整理方法,植被分类方法,植被命名,植被分类单元描述的内容,植被志章节编写大纲、体裁及撰写等多个规范进行了详细的阐述或示例

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies