Identification of invisible biological traces in forensic evidences by hyperspectral NIR imaging combined with chemometrics.,Talanta

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Identification of invisible biological traces in forensic evidences by hyperspectral NIR imaging combined with chemometrics.
Talanta ( IF 5.6 ) Pub Date : 2020-03-12 , DOI: 10.1016/j.talanta.2020.120911
Cristina Malegori ₁ , Eugenio Alladio ₂ , Paolo Oliveri ₁ , Cristina Manis ₃ , Marco Vincenti ₃ , Paolo Garofano ₄ , Filippo Barni ₅ , Andrea Berti ₅

Affiliation

The importance of detecting minute biological traces in forensic evidences feeds the continuous interest towards the development of new dedicated technologies both sensitive and reliable. The present study describes the opportunity to combine chemical properties derived from NIR signals with spatial features typical of RGB images by means of hyperspectral imaging (HSI). An analytical procedure based on HSI data collection and their multivariate processing followed by normalized difference images (NDI) is proposed as a screening method to highlight otherwise invisible traces of biological fluids on different supports in view of their collection for DNA analysis. The pattern features identified inside the NDI provided insight into the nature of the biological trace, on the basis of the wavelength at which the stain is highlighted and irrespective of the support on which the stain is deposited. In particular, the procedure allowed to detect and distinguish traces (i.e., 10 and 20 μL volumes) of dehydrated blood, urine, and semen on glass, paper, cotton, denim and polyblend fabric. Beside the simulated specimens used to develop and test the protocol, its robustness was demonstrated also on real and unknown validation samples, confirming its feasibility in some real case studies. An interesting evolution of the proposed strategy is to lay the scientific foundations for the development of a handheld device directly applicable in field.

中文翻译：

通过高光谱NIR成像结合化学计量学鉴定法医证据中的隐形生物痕迹。

在法医证据中检测微小生物痕迹的重要性使人们对开发既灵敏又可靠的新型专用技术产生了持续的兴趣。本研究描述了通过高光谱成像（HSI）将来自NIR信号的化学特性与RGB图像的典型空间特征相结合的机会。提出了一种基于HSI数据收集及其多元处理以及随后的归一化差异图像（NDI）的分析程序，作为一种筛选方法，以突出显示在不同支持物上收集到的不可见痕迹的生物流体，以便对其进行DNA分析。在NDI内部识别出的图案特征可以洞悉生物痕迹的性质，取决于污渍被突出显示的波长，并且与污渍沉积在其上的载体无关。特别是，该程序允许检测和区分玻璃，纸，棉，牛仔布和混合纤维织物上的痕量（即10和20μL体积）的脱水血液，尿液和精液。除了用于开发和测试协议的模拟标本之外，还在真实和未知验证样本上证明了其鲁棒性，从而证实了其在某些实际案例研究中的可行性。提出的策略的一个有趣的发展是为直接适用于现场的手持设备的开发奠定科学基础。和精液在玻璃，纸张，棉，牛仔布和混合纤维织物上。除了用于开发和测试协议的模拟标本之外，还在真实和未知验证样本上证明了其鲁棒性，从而证实了其在某些实际案例研究中的可行性。提出的策略的一个有趣的发展是为直接适用于现场的手持设备的开发奠定科学基础。和精液在玻璃，纸张，棉，牛仔布和混合纤维织物上。除了用于开发和测试协议的模拟标本之外，还在真实和未知验证样本上证明了其鲁棒性，从而证实了其在某些实际案例研究中的可行性。提出的策略的一个有趣的发展是为直接适用于现场的手持设备的开发奠定科学基础。

更新日期：2020-03-12

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