Application of Least Square Method to Data Treatment in the Determination of Chitosan
摘 要
应用紫外分光光度法和旋光法分别测定了壳聚糖的含量.在建立壳聚糖浓度与吸光度(紫外分光光度法)及壳聚糖浓度与旋光度(旋光法)之间的线性方程中,采用最小二乘法(LS法)对相关数据进行了处理.试验结果所示:用LS法所得上述两种测定方法的拟合曲线得出的测定结果,与常规方法所得曲线相比,具有更高的精密度和准确度.再者,两种测定方法的拟合曲线相比较,紫外分光光度法的曲线具有更高的精密度.
Abstract
UV-spectrophotometry and optical rotation method were applied separately to the determination of chitosan,and the least square (LS) method was used in the data treatment to establish linear equations between concentration of chitosan and absorbance (in UV-spectrophotometry) and between concentration of chitosan and optical activity (in optical rotation method).As shown by experimental results,by using fitting curves obtained by LS method for both methods of determination,more precise and accurate results were obtained,as compared with the conventional method.Moreover,the fitting curve of UV-spectrophotometry was found to be more precise than the fitting curve of optical rotation method.
中图分类号 O669
所属栏目 工作简报
基金项目 重庆市教育委员会科技研究项目(KJ081205);重庆文理学院项目资助金资助项目(Z2007HH11)
收稿日期 2008/1/7
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备注徐文峰(1968-),男,浙江兰溪人,副教授,高级工程师,从事药物和材料的分析研究和教学工作.
引用该论文: XU Wen-feng,LIAO Xiao-ling. Application of Least Square Method to Data Treatment in the Determination of Chitosan[J]. Physical Testing and Chemical Analysis part B:Chemical Analysis, 2008, 44(11): 1047~1049
徐文峰,廖晓玲. 应用最小二乘法于壳聚糖测定的数据处理[J]. 理化检验-化学分册, 2008, 44(11): 1047~1049
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参考文献
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【2】Kumar M N V R,Muzzarelli R A A,Muzzarelli C.Chitosan chemistry and pharmaceutical perspectives[J].Chem Rev,2004,104:6017-6084.
【3】曾名勇,陈金芬.微晶甲壳素作冰淇淋乳化剂的研究[J].食品工业科技,1996(2):65-67.
【4】Shahidi F.Roleof chemistry and biotechnology in value-added utilization of shellfish processing discards[J].Canadian Chemical News,1995,47:25-29.
【5】Qin C Q,Li H R,XiaoQ.Water-solubility of chitosan and its antimicrobial activity[J].Carbohydr Polym,2006,63:367-374.
【6】金鑫荣.低聚水溶性壳聚糖的制备方法及研究进展[J].化工进展,1998,17(2):157-216.
【7】廉世勋,李秀英,尹笃林,等.固溶体结构对Ca2-xSrxZn4Ti15O36发光性质的影响[J].无机化学学报,2006,22(2):337.
【8】王琳琳,陈小鹏.对烷烃饱和蒸气压的测定与关联[M].广西:广西科学出版社,2005:46.
【9】华尔天,李国富,毛明杰,等.基于最小二乘法的产品满意度预测模型[J].中国机械工程,2005,16(20):1831-1832.
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【11】庞皓.计量经济学[M].北京:科学出版社,2007:41.
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