干法灰化-原子荧光光谱法测定植物样中痕量锗

锗是对人体有益的重要稀有元素,但锗在植物样中含量很低。目前锗的前处理方法主要采用湿法消解和微波消解两种,以上的前处理方法试剂用量大,称样量小,检出限难以满足植物样中锗的分析要求。氢化物发生-原子荧光光谱法测定锗等易形成共价氢化物的元素相对其他的方法具有明显的优势。为降低测定植物样中锗的检出限,准确测定植物中的锗。实验采用干法灰化法对植物样中锗进行富集,建立了植物样中痕量锗的氢化物发生-原子荧光光谱测定方法。实验了温度对植物样灰化的影响,结果表明,即使温度高达900 ℃也不会造成锗的挥发损失,进一步试验表明在600 ℃灼烧4 h,即可将植物样灰化完全。实验了灰化后样品的消解方法,确定了灰化后样品采用硝酸、氢氟酸和硫酸进行分解。采用大称样量高温灰化减少了试剂用量,有效降低了方法检出限,改善了方法精密度。方法检出限达到0.27 ng·g-1,方法精密度(RSD)在3.99%～6.81%,经生物国家一级标准物质验证方法准确可靠。     

农作物冠层光谱信息检测技术及方法综述

相比传统的化学方法及主观视觉测定植物生理信息指标,通过光谱辐射仪对农作物冠层信息的评估更简单、快速和精确。本文结合近年来农作物群体信息的获取方法,综述了不同类型光谱仪尤其以国际上应用最广泛的Cropscan多光谱辐射仪在农作物群体叶面积指数、生物量、氮素及叶绿素的预测,病虫害的监测及产量预测中的应用。总结了不同类型的的植被指数(VIs)、冠层光谱的获取及光谱分析方法,比较了不同农作物建立相关模型的回归系数。总体上建立的数学模型的相关系数较高,能实现对农作物各种生理信息等的检测。此外,将多光谱辐射仪与多种传感器相结合所得到的综合信息对于全面评价农作物生长情况具有重要指导价值。     

野生植物菊状千里光营养成分的测定

对野生植物菊状千里光的营养成分进行测定 ,结果表明 ,菊状千里光中至少含有 17种氨基酸、多种营养成分、丰富的矿物元素、维生素及 β-胡萝卜素。为开发利用植物资源提供了科学依据。     

野生植物五月瓜藤的营养成分

对野生植物五月瓜藤的营养成分进行了分析 ,五月瓜藤中含有多种营养成分 ,丰富的矿物质元素和维生素及 β-胡萝卜素 ,至少含有 1 7种氨基酸。为开发利用植物资源提供了科学依据     

Solid-phase extraction combined with dispersive liquid–liquid microextraction for the determination for polybrominated diphenyl ethers in different environmental matrices

An analytical method, solid-phase extraction combined with dispersive liquid–liquid microextration (SPE–DLLME), was established to determine polybrominated diphenyl ethers (PBDEs) in water and plant samples. After concentration and purification of the samples in LC-C18 column, 1.0-mL elution sample containing 22.0 μL 1,1,2,2-tetrachloroethane was injected rapidly into the 5.0-mL pure water. After extraction and centrifuging, the sedimented phase was injected rapidly into gas chromatography with electron-capture detection (GC–ECD). For water samples, enrichment factors (EFs) are in the range of 6838–9405 under the optimum conditions. The calibration curves are linear in the range of 0.1–100 ng L⁻¹ (BDEs 28, 47) and 0.5–500 ng L⁻¹ (BDEs 100, 99, 85, 154, 153). The relative standard deviations (RSDs) and the limits of detection (LODs) are in the range of 4.2–7.9% (n = 5) and 0.03–0.15 ng L⁻¹, respectively. For plant samples, RSDs and LODs are in the range of 5.9–11.3% and 0.04–0.16 μg kg⁻¹, respectively. The relative recoveries of well, river, sea, leachate, and clover samples, spiked with different levels of PBDEs, are 66.8–94.1%, 72.2–100.5%, 74.5–110.4%, 62.1–105.1%, 66.1–91.7%, 62.4–88.9%, and 64.5–83.2%, respectively. The results show that SPE–DLLME is a suitable method for the determination of PBDEs in water and plant samples.     

Evaluation of the arsenic binding capacity of plant proteins under conditions of protein extraction for gel electrophoretic analysis

As prerequisite for the investigation of arsenic-binding proteins in plants, the general influence of different extraction parameters on the binding behaviour of arsenic to the plant protein pool was investigated. The concentration of the extraction buffer affected the extraction yield both for proteins and for arsenic revealing an optimal buffer concentration of 5 mM Tris/HCl, pH 8. The addition of 1 or 2% (w/v) SDS to the extraction buffer produced a two- to threefold enhancement of the total protein extraction yield but strongly suppressed the simultaneous extraction of arsenic from 80 ± 8% extraction yield obtained without SDS to 48 ± 2% in presence of 2% (w/v) SDS. The arsenic binding capacity of the protein fraction obtained after extraction with Tris buffer and protein precipitation by trichloroacetic acid in acetone was estimated to be 1.4 ± 0.6% independently on the original spiking concentration of arsenic provided in the form of monomethylarsonate to the extracts. Due to the low total protein concentrations of the plant extracts that varied in the range from 75 to 412 μg mL⁻¹ depending on the extraction parameters, high arsenic concentrations of 263-1001 mg (kg protein mass)⁻¹ resulted for spiking concentrations of 10 mg As L⁻¹. The optimized protein isolation procedure was applied to plants grown under arsenic exposure and revealed a similar arsenic binding capacity as for the spiked protein extracts.     

Use of molybdate as novel complex-forming selector in the analysis of polyhydric phenols by capillary zone electrophoresis

Molybdate was examined as a complex-forming additive to the CE background electrolytes (BGE) to affect the selectivity of separation of polyhydric phenols such as flavonoids (apigenin, hyperoside, luteolin, quercetin and rutin) and hydroxyphenylcarboxylic acids (ferulic, caffeic, p-coumaric and chlorogenic acid). Effects of the buffer concentrations and pH and the influence of molybdate concentration on the migration times of the analytes were investigated. In contrast to borate (which is a buffering and complex-forming agent generally used in CE at pH ≥9) molybdate forms more stable complexes with aromatic o-dihydroxy compounds and hence the complex-formation effect is observed at considerably lower pH. Model mixtures of cinnamic acid, ferulic acid, caffeic acid and 3-hydroxycinnamic acid were separated with 25 mM morpholinoethanesulfonic acid of pH 5.4 (adjusted with Tris) containing 0.15 mM sodium molybdate as the BGE (25 kV, silica capillary effective length 45 cm × 0.1 mm I.D., UV-vis detection at 280 nm). With 25 mM 2-hydroxy-3-[4-(2-hydroxyethyl)-1-piperazinyl]propanesulphonic acid/Tris of pH^* 7.4 containing 2 mM sodium molybdate in aqueous 25% (v/v) methanol as the BGE mixtures of all the above mentioned flavonoids, p-coumaric acid and chlorogenic acid could be separated (the same capillary as above, UV-vis detection at 263 nm). The calibration curves (analyte peak area versus concentration) were rectilinear (r > 0.998) for ≈8-35 μg/ml of an analyte (with 1-nitroso-2-naphthol as internal standard). The limit of quantification values ranged between 1.1 mg l⁻¹ for p-coumaric acid and 2.8 mg l⁻¹ for quercetin. The CE method was employed for the assay of flavonoids in medicinal plant extracts. The R.S.D. values ranged between 0.9 and 4.7% (n = 3) when determining luteolin (0.08%) and apigenin (0.92%) in dry Matricaria recutita flowers and rutin (1.03%) and hyperoside (0.82%) in dry Hypericum perforatum haulm. The recoveries were >96%.     

核电站温排水分布卫星遥感监测及验证

以大亚湾核电站附近海域为研究区,基于HJ-1B卫星热红外遥感数据IRS4,对核电站温排水空间分布特征进行了识别与验证。首先利用时空插值后的NCEP大气廓线数据,结合近地面气象观测信息对IRS4数据进行大气订正;其次查找表数据建立IRS4宽通道辐亮度与辐射温度转换公式,完成研究区海表温度反演。利用温盐深测量仪,与卫星同步采集了84个离散点的水温,经空间插值获得地面调查海水“体温度”（bulk temperature, BT）的分布,并与海表温度（sea surface temperature, SST）反演结果进行了对比。结果表明,调查区平均BT比平均SST高0.47 ℃。在远离热排放口区域,SST高于BT,两者差异在1.0 ℃以内;在靠近热排放口区域,SST低于BT,并且越接近排放口两者之间差距越大。遥感与地面调查两种手段获得的温升分布基本一致,总温升区域面积相近。遥感手段获得的温升等级较少（小于4级）,地面调查获得温升等级较多（大于5级）;后者高温升等级（2级以上）区域面积较大,但对于1级温升区面积而言,两种手段差异较小。上午10时左右海表BT与SST差异较小,“肤-体”温差效应可以忽略,在IRS4业务化SST应用中,这一时段的卫星遥感可以作为核电站温排水分布监测的常规手段。     

黄土丘陵区林草地枯落层盖度遥感估算研究

枯落层盖度的定量估算对于植被防蚀功效的评价具有重要作用。在陕北黄土丘陵沟壑区选取典型落叶林和退耕草地作为光谱测试样地,通过室内和野外实验分析枯落层—土壤混合场景的光谱变化规律,研究高光谱指数NDLI(normalized difference lignin index)和CAI(cellulose absorption index)估算枯落层盖度的有效性。结果表明,受颜色及含水量等因素的影响,不同盖度枯落层—土壤混合场景的光谱反射率呈现不同的变化规律。干和湿状态下,随着枯落层盖度的增加混合场景的NDLI、CAI指数值均呈现增大的趋势,CAI与枯落层盖度的相关性高于NDLI,R2最高为0.98(阔叶林和退耕草地干的混合场景),CAI能够更有效地估算枯落层盖度。野外实测验证了室内实验结果,退耕草地混合场景的CAI值与枯落层盖度相关性最高(R2=0.90),野外条件下两种高光谱指数估算枯落层盖度的有效性均有一定程度的降低。该研究为枯落层盖度的遥感定量反演提供了基础与依据。     

叶片多角度偏振光谱特性影响因素的实验研究

通过测量绿萝、银杏、苹果三种叶片的多角度偏振光谱,采用斯托克斯矢量法计算了叶片的多角度光谱偏振度,并通过PROSPECT模型反演得到叶片的叶绿素、水分含量,进而分析了叶绿素、水分含量对叶片多角度光谱偏振度的影响,探索了观测几何条件与不同波段叶片偏振度间的关系。结果表明,相对于近红外波段,红光波段的偏振度受叶绿素含量变化的影响较小,而水分含量对这两个波段的偏振度基本均无明显影响。在反映叶片偏振度随观测几何变化方面,近红外波段较另外两个波段有着更好的敏感性和稳定性,但其偏振度值较另外两个波段偏小。