为了提高粮油中粗蛋白质含量的测定效率,减少试剂使用对生态环境的污染。以小麦、玉米、芝麻、花生4种粮油作物为样品,通过优化进样量、氧气通量、氧气因子等检测条件,确定了杜马斯燃烧法测定粮油种子的最佳实验条件:燃烧管温度990℃,...为了提高粮油中粗蛋白质含量的测定效率,减少试剂使用对生态环境的污染。以小麦、玉米、芝麻、花生4种粮油作物为样品,通过优化进样量、氧气通量、氧气因子等检测条件,确定了杜马斯燃烧法测定粮油种子的最佳实验条件:燃烧管温度990℃,还原管温度650℃,进样量100~180 mg,氧气通量300 m L/min,氧气因子1.3~1.6 m L/mg。回收实验表明,当添加EDTA 80 mg时,小麦、玉米、芝麻和花生的添加回收率分别为99.21%、100.54%、99.49%和99.10%。与凯氏定氮法比对,两者结果没有显著性差异。添加实验和对比实验证明优化后的杜马斯燃烧法准确可靠,完全可以替代凯氏定氮法作为粮油作物粗蛋白质的检测手段。展开更多
Fine-grained sedimentary rocks are defined as rocks which mainly compose of fine grains（〈62.5 μm）. The detailed studies on these rocks have revealed the need of a more unified, comprehensive and inclusive classifi...Fine-grained sedimentary rocks are defined as rocks which mainly compose of fine grains（〈62.5 μm）. The detailed studies on these rocks have revealed the need of a more unified, comprehensive and inclusive classification. The study focuses on fine-grained rocks has turned from the differences of inorganic mineral components to the significance of organic matter and microorganisms. The proposed classification is based on mineral composition, and it is noted that organic matters have been taken as a very important parameter in this classification scheme. Thus, four parameters, the TOC content, silica（quartz plus feldspars）, clay minerals and carbonate minerals, are considered to divide the fine-grained sedimentary rocks into eight categories, and the further classification within every category is refined depending on subordinate mineral composition. The nomenclature consists of a root name preceded by a primary adjective. The root names reflect mineral constituent of the rock, including low organic（TOC〈2%）, middle organic（2%4%） claystone, siliceous mudstone, limestone, and mixed mudstone. Primary adjectives convey structure and organic content information, including massive or limanited. The lithofacies are closely related to the reservoir storage space, porosity, permeability, hydrocarbon potential and shale oil/gas sweet spot, and are the key factor for the shale oil and gas exploration. The classification helps to systematically and practicably describe variability within fine-grained sedimentary rocks, what＇s more, it helps to guide the hydrocarbon exploration.展开更多
文摘为了提高粮油中粗蛋白质含量的测定效率,减少试剂使用对生态环境的污染。以小麦、玉米、芝麻、花生4种粮油作物为样品,通过优化进样量、氧气通量、氧气因子等检测条件,确定了杜马斯燃烧法测定粮油种子的最佳实验条件:燃烧管温度990℃,还原管温度650℃,进样量100~180 mg,氧气通量300 m L/min,氧气因子1.3~1.6 m L/mg。回收实验表明,当添加EDTA 80 mg时,小麦、玉米、芝麻和花生的添加回收率分别为99.21%、100.54%、99.49%和99.10%。与凯氏定氮法比对,两者结果没有显著性差异。添加实验和对比实验证明优化后的杜马斯燃烧法准确可靠,完全可以替代凯氏定氮法作为粮油作物粗蛋白质的检测手段。
基金supported by the Certificate of China Postdoctoral Science Foundation (No. 2015M582165)the National Natural Science Foundation of China (Nos. 41602142, 41772090)the National Science and Technology Special (No. 2017ZX05009-002)
文摘Fine-grained sedimentary rocks are defined as rocks which mainly compose of fine grains（〈62.5 μm）. The detailed studies on these rocks have revealed the need of a more unified, comprehensive and inclusive classification. The study focuses on fine-grained rocks has turned from the differences of inorganic mineral components to the significance of organic matter and microorganisms. The proposed classification is based on mineral composition, and it is noted that organic matters have been taken as a very important parameter in this classification scheme. Thus, four parameters, the TOC content, silica（quartz plus feldspars）, clay minerals and carbonate minerals, are considered to divide the fine-grained sedimentary rocks into eight categories, and the further classification within every category is refined depending on subordinate mineral composition. The nomenclature consists of a root name preceded by a primary adjective. The root names reflect mineral constituent of the rock, including low organic（TOC〈2%）, middle organic（2%4%） claystone, siliceous mudstone, limestone, and mixed mudstone. Primary adjectives convey structure and organic content information, including massive or limanited. The lithofacies are closely related to the reservoir storage space, porosity, permeability, hydrocarbon potential and shale oil/gas sweet spot, and are the key factor for the shale oil and gas exploration. The classification helps to systematically and practicably describe variability within fine-grained sedimentary rocks, what＇s more, it helps to guide the hydrocarbon exploration.
