光谱学与光谱分析
|
交替惩罚三线性分解算法结合三维荧光光谱法同时分辨和测定酪氨酸、苯丙氨酸和色氨酸
肖劲,任凤莲* ,宋鸽,廖律,禹文峰,曾涛
中南大学化学化工学院,现代仪器分析所,湖南长沙 410083
Simultaneous Resolution and Determination of Tyrosine, Tryptophan and Phenylalanine by Alternating Penalty Trilinear Decomposition Algorithm Coupled with 3D Emission-Excitation Matrix Fluorometry
XIAO Jin, REN Feng-lian* , SONG Ge, LIAO Lü, YU Wen-feng, ZENG Tao
College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China
摘要 : 用交替惩罚三线性分解算法(APTLD)结合三维荧光光谱法给出的二维数据对酪氨酸、苯丙氨酸和色氨酸进行了同时定性定量分析,为直接同时测定混合氨基酸中此三种物质提供了一种新的分析方法, 其测定相关系数分别为0.9987,0.9995和0.9993。采用超声波组织细胞破碎法对木槿叶中的氨基酸进行提取,利用APTLD法对提取液中氨基酸进行定量测定,测定相对标准偏差分别为0.84%,0.36%,1.59%, 回收率分别在101.0%~92.7%, 106.5%~93.0%, 103.0%~95.0%之间,方法简洁、快速、准确可靠,结果令人满意。
关键词 :交替惩罚三线性分解算法;三维荧光光谱;酪氨酸;色氨酸;苯丙氨酸
Abstract :A new method using alternating penalty trilinear decomposition algorithm coupled with excitation-emission matrix fluorometry has been developed for simultaneous resolution and determination of tyrosine, phenylalanine and tryptophan. Their correlation coefficients were 0.9987, 0.9995and 0.9993 respectively. The contents of tyrosine, phenylalanine and tryptophan in Hibiscus syriacus L. leaves were also be determined by this method after being extracted by ultrasonic. The coefficients of variation and the recoveries of the three amino acids were 0.84%, 0.36%, 1.59% and 101.0%-92.7%, 106.5%-93.0%, 103.0%-95.0% respectively. All these show that this is a simple, fast and cridible method.
Key words :Alternating penalty trilinear decomposition algorithm(APTLD);3D emission-excitation matrix fluorometry;Tyrosine;Tryptophan;Phenylalanine
收稿日期: 2006-03-28
修订日期: 2006-06-28
通讯作者:
任凤莲
E-mail: xj410001@yahoo.com.cn
引用本文:
肖劲,任凤莲* ,宋鸽,廖律,禹文峰,曾涛. 交替惩罚三线性分解算法结合三维荧光光谱法同时分辨和测定酪氨酸、苯丙氨酸和色氨酸[J]. 光谱学与光谱分析, 2007, 27(10): 2088-2092.
XIAO Jin, REN Feng-lian* , SONG Ge, LIAO Lü, YU Wen-feng, ZENG Tao. Simultaneous Resolution and Determination of Tyrosine, Tryptophan and Phenylalanine by Alternating Penalty Trilinear Decomposition Algorithm Coupled with 3D Emission-Excitation Matrix Fluorometry . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(10): 2088-2092.
链接本文:
https://www.gpxygpfx.com/CN/Y2007/V27/I10/2088
[1] ZHANG Hong-yuan, WAN Hai-qing(张洪渊, 万海清). Biochemistry(生物化学). Beijing: Chemistry Industry Press(北京: 化学工业出版社), 2001. 45. [2] DING Ya-ping, SU Qing-de, WU Qing-sheng(丁亚平, 苏庆德, 吴庆生). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2001, 21(4): 212. [3] LI Dong-hua, NI Yong-nian(李东华, 倪永年). Journal of Nanchang University(Natural Science)(南昌大学学报, 理科版), 2002, 26(1): 71. [4] WU Gen-hua, HE Chi-yang, CHEN Rong(吴根华, 何池洋, 陈 荣). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2003, 23(2): 318. [5] WANG Zhi-you, YU Hong-mei, LI Jing-hui, et al(王志有, 于洪梅, 李井会, 等). Journal of Biomathematics(生物数学世界), 2005, 20(2): 240. [6] Xia Alin, Wu Hailong, Dong Meifang, et al. Journal of Chemometrics, 2005, 19: 65. [7] WU Hai-long, MO Cui-yun, CAO Yu-zhen, et al(吴海龙, 莫翠云, 曹玉珍, 等). Computers and Applied Chemistry(计算机与应用化学), 2002, 19(1): 15. [8] SUN Xiang-yu, WU Hai-long, LU Jian-zhong, et al(孙翔宇, 吴海龙, 陆剑忠, 等). Journal of Analytical Science(分析科学学报), 2005, 21(2): 149. [9] LIANG Yi-zeng(梁逸曾). White, Grey and Black Multicomponent Systems and Their Chemometric Algorithms(白灰黑复杂多组分分析体系及其化学计量学算法). Hunan: Hunan Science & Technology Press(湖南: 湖南科技出版社), 1996. [10] WANG Jian-qing, ZHANG Yu(王建清,张 玉). Amino Acids and Biotic Resources(氨基酸和生物资源),2006,28(2):76. [11] PAN Yan-li, RUI Han-ming, LIN Chao-peng(潘艳丽,芮汉明,林朝朋). Guangzhou Food Science and Technology(广州食品工业科技),2004,20(1):83. [12] CHEN Ti-qiang, WU Jin-zhong, QIAN Ai-ping(陈体强,吴锦忠,钱爱萍). Amino Acids and Biotic Resources(氨基酸和生物资源),2007,29(1):4. [13] CHEN Li-yan, CHEN Ti-qiang, WU Jin-zhong(陈丽艳,陈体强,吴锦忠). Strait Pharmaceutical Journal(海峡药学),2007,19(2):53. [14] WEI Jing-guang, HUO Guang-hua, DAI Jian-guo, et al(魏京广,霍光华,代建国,等). Acta Agriculturae Jiangxi(江西农业学报),2007,19(3):99. [15] CHEN Wen, LI Li-li, ZHANG Ping, et al(陈 文,李丽立,张 平,等). Shizhen Medicine and Material Medical Research(时珍国医国药),2007,18(4):815. [16] QU Qi-shu, TANG Xiao-qing, HU Xiao-ya, et al(瞿其曙,汤晓庆,胡效亚,等). Progress in Chemistry(化学进展),2006,18(6):789.
[1]
雷宏军, 杨 光, 潘红卫, 王逸飞, 易 军, 王珂珂, 王国豪, 童文彬, 史利利. 水化学离子对溶解有机物三维荧光光谱影响及分类预处理方法 [J]. 光谱学与光谱分析, 2024, 44(01): 134-140.
[2]
顾一露,裴景成,张誉慧,尹希严,余敏达,赖潇静. 墨西哥黄绿色磷灰石的宝石学和光谱学研究 [J]. 光谱学与光谱分析, 2024, 44(01): 181-187.
[3]
宋逸明,沈 鉴,刘传旸,熊秋燃,程 澄,柴一荻,王士峰,吴 静. 吲哚、3-甲基吲哚和L-色氨酸的荧光量子产率和荧光寿命 [J]. 光谱学与光谱分析, 2023, 43(12): 3758-3762.
[4]
杨克利,彭姣玉,董亚萍,刘 鑫,李 武,刘海宁. 溶解性有机质在盐田中的光谱学变化特征 [J]. 光谱学与光谱分析, 2023, 43(12): 3775-3780.
[5]
薛方家,喻 洁,尹 航,夏戚宇,施杰根,侯迪波,黄平捷,张光新. 基于三维荧光时间序列双阈值的饮用水污染事件检测方法研究 [J]. 光谱学与光谱分析, 2023, 43(10): 3081-3088.
[6]
贾雨歌,杨明星,游博雅,余柯烨. 冻胶绿松石及其原料的宝石学与谱学鉴别 [J]. 光谱学与光谱分析, 2023, 43(09): 2974-2982.
[7]
杨 欣,夏 敏,叶 寅,王 静. 店埠河农业小流域水体溶解性有机质光谱时空分布特征 [J]. 光谱学与光谱分析, 2023, 43(09): 2983-2988.
[8]
朱燕萍,崔传金,程朋飞,潘金燕,苏 皓,张 怡. 三维荧光光谱结合BP神经网络与SWATLD检测油类污染物 [J]. 光谱学与光谱分析, 2023, 43(08): 2467-2475.
[9]
仇存璞,唐晓雪,文喜贤,马昕伶,夏明明,李忠佩,吴 萌,李桂龙,刘 凯,刘凯丽,刘 明. 钙盐对秸秆腐解过程及产物可溶性有机质三维荧光光谱特征的影响 [J]. 光谱学与光谱分析, 2023, 43(07): 2301-2307.
[10]
史传奇,李 艳,胡 钰,于少鹏,金 梁,陈美茹. 北方寒区河流湿地土壤溶解性有机质荧光光谱特征 [J]. 光谱学与光谱分析, 2023, 43(05): 1517-1523.
[11]
李远静,陈彩云飞,李立平. γ射线辐照处理银灰色Akoya珍珠的谱学特征研究 [J]. 光谱学与光谱分析, 2023, 43(04): 1056-1062.
[12]
柳夏艳,曹浩轩,缪闯和,李丽君,周 虎,吕贻忠. 长期施用堆肥处理下潮土剖面水溶性有机物的三维荧光光谱研究 [J]. 光谱学与光谱分析, 2023, 43(03): 674-684.
[13]
吕 洋,裴景成,张雨阳. 水热法合成蓝宝石的化学成分及光谱学表征 [J]. 光谱学与光谱分析, 2022, 42(11): 3546-3551.
[14]
张永彬,朱丹丹,陈 颖,刘 喆,段玮靓,李少华. 基于特征区域下凸点提取的藻类荧光光谱波长选择方法 [J]. 光谱学与光谱分析, 2022, 42(10): 3031-3038.
[15]
潘红卫,童文彬,雷宏军,杨 光,史利利. 施加有机肥对农田有机质和氮素演化影响的光谱学分析 [J]. 光谱学与光谱分析, 2022, 42(10): 3116-3123.