| 光谱学与光谱分析 |
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| Study on Amidation Reaction between CdS/PAMAM and Amino Acid and Its Application to Latent Fingerprint Development |
| WANG Yuan-feng1, WANG Yan-ji1, YANG Rui-qin1*, JIN Yu-juan2 |
1. Forensic Science Department, Chinese People’s Public Security University, Beijing 100038, China
2. School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China |
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Abstract A new method for the development of latent fingerprints by CdS/PAMAM nanocomposites was explored in the present research. Amidation reaction between terminal carboxylate groups of amino acids and terminal amino groups of PAMAM G4.5 dendrimers was studied by FTIR spectrometry. The reacting processes under different conditions were monitored by H1 267/1 735 (the relative ratio of peak height) in order to find out the optimized condition and developing method. The results indicated that the reacting processes were affected remarkably by the changes in temperature. The reaction was efficient under 90 ℃ within 4 hours, while the reacting speed decreased after 3 hours under 120 ℃. CdS/PAMAM was utilized as the latent fingerprint developing reagent and compared with the routine one. The results indicated that the fluorescence intensity of the former is 65 times higher than that of the latter. Great predominance in florescence could be observed when CdS/PAMAM and the routine developing reagent were compared. Latent fingerprints on the surface of different objects were developed under 120 ℃ within 0.5-3 h. Good developing results could be obtained under the optimized condition. The method is simple, rapid, highly sensitive, safe and economical.
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Received: 2007-07-22
Accepted: 2007-09-29
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Corresponding Authors:
YANG Rui-qin
E-mail: rqyang66@yahoo.com.cn
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[1] SUN Bao-quan, XU Yong-lan, YI Guang-shun, et al(孙宝全, 徐咏蓝, 衣光舜, 等). Chinese Journal of Analytical Chemistry(分析化学), 2002, 30(9): 1130.
[2] CHEN Liang-dong, LI Yan, YUAN Hong-yin, et al(陈良冬, 李 雁, 袁宏银, 等). Chinese Journal of Cancer(癌症), 2006, 25(5): 651.
[3] CHEN Xiu-ying, PENG Xiao-jun(陈秀英, 彭孝军). Chemistry(化学通报), 2004, 67: 1.
[4] TENG Feng, TANG Ai-wei, GAO Yin-hao, et al(滕 枫, 唐爱伟, 高银浩, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(5): 651.
[5] Marcel B J, Mario M, Pater G, et al. Science, 1998, 281: 2013.
[6] Sooklal K, Hanus L H, Ploehn H J, et al. Adv. Mater., 1998, 10: 1083.
[7] Sodhi G M, Kaur Jasjeet. Fingerprint Whorld, 2006,32: 146.
[8] Becue Andy, Champod Christophe, Margot Pierre. Forensic Science International, 2007, 168: 169.
[9] Sametband M, Shweky I, Banin U, et al. On the Web 19th February 2007, DOI: 1039/6618966K, Chem. Commun., 2007: 1142.
[10] WANG Yuan-feng, YANG Rui-qin, WANG Yan-ji(王元凤，杨瑞琴，王彦吉). Journal of Chinese People’s Public Security University(Natural Science Edition)(中国人民公安大学学报·自然科学版)，2007，13(2)：1.
[11] Menzel E R. Fingerprint Whorld, 2000, 26(101): 119.
[12] Menzel E R, Takatsu M, Murdock R H, et al. Journal of Forensic Science, 2000, 45(4): 770.
[13] Bouldin K K, Menzel E R, Takatsu M, et al. Journal of Forensic Science, 2000, 45(6): 1239.
[14] Menzel E R, Savoy S M, Ulvick S J, et al. Journal of Forensic Science, 2000, 45(3): 545.
[15] Menzel E R. Fingerprint Development Methods, U. S. Patent Application, 2000. No.09/487, 702.
[16] CONG Ri-min, LUO Yun-jun, LI Guo-ping, et al(丛日敏，罗运军，李国平，等). Acta Chimica Sinica(化学学报)，2005，63(5)：421.
[17] WANG Xiao-lan(汪小兰). Organic Chemistry(3rd)(有机化学, 第3版). Beijing: Higher Education Press(北京：高等教育出版社), 2003. 160.
[18] Lee H C, Gaensslen R E. Advances in Fingerprint Technology(2nd. ed). Boca Raton, Florida: CRC Press, 2001. 63.
[19] Gary Mong, Steven Walter, Tony Cantu. Fingerprint Whorld, 2001,27: 66. |
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