摘要
为验证SmartChem 200全自动间断化学分析仪测定植物叶片中全氮、全磷的优良性,以1 a生云南松苗木为样品,建立基于SmartChem 200全自动间断化学分析仪,同时测定植物全氮和全磷的方法。结果显示:该方法测定植物中的全氮和全磷分别在0~12 mg/L和0~5 mg/L范围内呈良好线性关系,相关系数(R^(2))分别为0.9999、0.9994;经t检验测定结果与传统凯氏定氮法、钼锑抗比色法对比无显著差异;该方法与凯氏定氮法测定全氮含量呈极显著相关关系(y=0.9828 x+0.2610,R^(2)=0.9793),该方法与钼锑抗比色法所测全磷含量呈极显著相关关系(y=1.0919 x-0.1677,R^(2)=0.9667);样品的加标回收率分别是全氮98.90%~101.85%、全磷96.10%~105.20%,3个样品重复测定3次的相对标准偏差分别为2.02%~2.79%和0.25%~1.28%。研究结果表明,SmartChem 200全自动间断化学分析仪测定方法试剂量少、操作简单、结果准确可靠、回收率高,测定结果满足对植物全氮、全磷的批量检测要求。
In this paper,a method based on SmartChem200 automated chemical analyzer was developed for the simultaneous determination of total nitrogen and total phosphorus in plants using annual Pinus yunnanensis seedlings as samples in the greenhouse of Southwest Forestry University.The method showed good linearity in the range of 0-12 mg/L and 0-5 mg/L for total nitrogen and phosphorus,respectively,with correlation coefficients(R^(2))of 0.9999 and 0.9994.The results of the t-test were not significantly different from those of the traditional Kjeldahl method and molybdenum antimony colorimetric method.The recoveries of the samples were 98.90%-101.85%for total nitrogen and 96.10%-105.20%for total phosphorus,respectively.The relative standard deviations of the three samples were 2.02%-2.79%and 0.25%-1.28%,respectively.The results showed that the method is simple,easy to operate,accurate and reliable,with high recoveries,and the determination results meet the requirements for the bulk determination of total nitrogen and total phosphorus in plants.
作者
陈诗
母德锦
王瑜
陈林
唐军荣
蔡年辉
许玉兰
李孙玲
CHEN Shi;MU Dejin;WANG Yu;CHEN Lin;TANG Junrong;CAI Nianhui;XU Yulan;LI Sunling(Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest China,Southwest Forestry University,Kunming Yunnan 650224,P.R.China;Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China Southwest Forestry University,Ministry of Education,Kunming Yunnan 650224,P.R.China;Yunnan Academy of Forestry and Grassland,Kunming Yunnan 650201,P.R.China)
出处
《西部林业科学》
CAS
北大核心
2023年第4期77-82,共6页
Journal of West China Forestry Science
基金
云南省研究生导师团队建设项目(2022-97)
国家自然科学基金项目(32260386)
西南林业大学科技处科研预研基金项目(01108-110822091)
漾濞彝族自治县核桃溯源研究项目(996322032)。
作者简介
第一作者:陈诗(1981-),男,硕士,实验师,主要从事森林培育研究和实验室工作。E-mail:cshi1981@qq.com;通信作者:李孙玲(1985-),女,硕士,助理研究员,主要从事森林培育研究。E-mail:282387724@qq.com。
