摘要
采用十六烷基三甲基溴化铵在超声条件下制备了化学改性巴旦木壳,将其用作吸附剂对苋菜红的吸附进行研究;并将吸附预富集与近红外漫反射光谱相结合,建立了一种快速测定稀溶液中苋菜红的分析方法。在吸附试验中,分析了pH值和吸附时间对苋菜红吸附率的影响;富集了苋菜红的吸附剂,无需脱附,经近红外漫反射光谱直接检测,并以偏最小二乘回归建立定量模型进行苋菜红的定量预测。结果表明,在中性、弱酸性条件下,常温10min振荡吸附,吸附率达到94%以上;近红外分析结果显示,苋菜红的参考浓度和预测浓度之间的相关系数为0.9413,苋菜红在0.4~16.0mg/L的较低浓度范围内,苋菜红预测样本的回收率可以达到86.5%~115.1%。由于化学改性巴旦木壳制备简单,对苋菜红有良好的吸附能力,可将吸附预富集与近红外漫反射光谱技术相结合用于稀溶液中微量苋菜红的富集与灵敏检测。
Cetyl trimethylammonium bromide was applied to prepare the chemical modified badam shell under ultrasonic wave condition,and its adsorption capability for amaranth was studied.Then a method for quantitative determination of amaranth in dilute solution was developed by adsorption preconcentration and near-infrared diffuse reflectance spectroscopy.The effects of pH and adsorption time for adsorption were also investigated.After adsorbing amaranth onto the adsorbent,NIR with diffuse reflectance mode was measured without desorption and partial least squares model was established for fast quantitative prediction.The results showed that its adsorption capacity on chemical modified badam shell was very obvious(above94%)with vibration of ten minutes at neutral or weak acidic condition.In addition,the NIR results showed that the correlation coefficient between the predicted and the reference concentration was 0.9413 and the recoveries were in the range of 86.5%-115.1%for the validation samples in the lower concentration range of 0.4-16.0 mg/L.Due to the facile synthesis process and adsorption performance,the chemical modified badam shell could be recommended as an adsorbent for enrichment and determination of amaranth in dilute solution by adsorption preconcentration combined with near-infrared diffuse reflectance spectroscopy in order to improve sensitivity and selectivity.
出处
《新疆农业大学学报》
CAS
北大核心
2017年第3期204-209,共6页
Journal of Xinjiang Agricultural University
基金
喀什大学高层次人才项目(GCC16ZK-004)
关键词
十六烷基三甲基溴化铵
化学改性巴旦木壳
苋菜红
吸附
近红外光谱
cetyl trimethylammonium bromide
chemical modified badam shell
amaranth
adsorption
near-infrared diffuse reflectance spectroscopy
