습윤지수에 관한 QSPR 모델로 예측된 불소치환 비활성 용매 중에서 Dansyl 방법의 잠재지문 현출 효율성
Efficiency of Latent Fingerprint Development by Dansyl Method in Fluorinert Solvent Predicted from QSPR Model on the Wetting Index
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초록
의심문서에 유류된 잠재지문을 안정적으로 현출할 수 있는 새로운 불소계(CFs) 화합물을 탐색하고자, 습윤지수(WI)에 관한 정량적인 구조와 물리-화학적인 성질과의 관계를 설명하는 최적화 된 QSPR 모델 No.5 (R2= 0.90)를 유도하고 FC-72 용매를 예측하였다. 그리고 유류된 잠재지문 중 아미노산에 대하여 Ninhydrin 방법보다 민감한 Dansyl 방법으로 acetone, HFE-7100 및 예측된 FC-72 등 3가지 용매중에서 잠재지문 현출실험을 실행하였다. 또한, 용매분자의 소수성(logP)과 습윤지수(WI) 사이에 성립하는 유의미한 비례관계로부터 실 습윤지수의 86% (100*R2)를 설명할 수 있는 유용한 모델 No.4를 얻었다. 그러므로 용매들의 소수성(logP)에 관한 모델 No. 4에 근거하여 최적화 된 QSPR 모델 No.5는 불소계(CFs) 지문현출 용매를 탐색하는 목적으로 효과적인 수단이 될 수 있을 것이다. Dansyl 방법에 의한 지문현출 결과로부터 예측된 FC-72 용매는 HFE-7100 용매에 비하여 양호하였으며 특히, 액상 현출제임에도 불구하고 비다공성 재질에서 양호한 현출성을 나타내었다.
Abstract
To search new fluorine family (CFs) compounds as carrier solvent that can stably detecting from the latent fingerprint deposited on the suspicious document in the forensic science, the optimized QSPR(Quantitative structure -property relationship) model No. 5 (R=0.90) on Wetting index (WI) was derived and predicted the FC-72 solvent. And latent fingerprint detection experiments were carried out in three carrier solvents, acetone, HFE-7100 and predicted FC-72 by Dansyl method. This method is more sensitive than Nihydrin method to amino acids in deposited latent fingerprints. Also, useful the model No.4 that can explain 86% (100*R2) of real wetting index from the meaningful proportional relationships between hydrophobicity(logP) of solvents and wetting index (WI) was obtained. Therefore, based on the Model No.5 for hyrophobicity of solvents, the optimized QSPR model No.5 would be able to an effective way in searching of fluorine family(CFs) fingerprint detection solvents. From the results of fingerprint detection by Dansyl method, it was found that the predicted solvent FC-72 was more effective as compared to HFE-7100 solvent. Particularly, it shows very good detection rate on the nonporous materials even though FC-72 solvent is liquid phase detection agent.
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