University at Albany, State University of New York, United States.
University at Albany, State University of New York, United States.
Talanta. 2017 Aug 1;170:210-214. doi: 10.1016/j.talanta.2017.04.016. Epub 2017 Apr 10.
Sweat is a well-known piece of biological evidence that is actually used much less than expected. Biological samples are important because their components can often provide some type of information about a person-of-interest. Sweat, in particular, is important because of its DNA content which can be extracted and analyzed to provide information that can be imperative to a criminal investigation. While it is a very important source of forensic information, the methods for detection and discrimination of sweat are limited, causing it to be overlooked during evidence collection. This manuscript presents a biocatalytic method for sweat detection that utilizes an enzyme cascade system that has the capability to detect trace amounts of sweat and distinguish it from saliva, even after the sample has dried. The results show the initial calibration studies performed to insure that the cascade performs well using both mimicked and authentic sweat samples which have components that could negatively affect the enzymes needed for the analysis. The method presented here also has the potential to be adapted for on-site analysis. The initial results of the development of a sweat-sensitive strip are shown here.
汗液是一种众所周知的生物证据，但实际上其应用远低于预期。生物样本非常重要，因为它们的成分通常可以提供有关目标人员的某些信息。汗液尤为重要，因为其 DNA 含量可以被提取和分析，从而提供对刑事调查至关重要的信息。尽管它是法医学信息的重要来源，但汗液的检测和鉴别方法有限，这导致在证据收集过程中往往会忽略它。本文提出了一种用于汗液检测的生物催化方法，该方法利用酶级联系统，具有检测痕量汗液的能力，并能区分汗液和唾液，即使在样本干燥后也能进行区分。结果表明，已经进行了初步的校准研究，以确保级联系统在使用模拟和真实汗液样本时都能良好运行，这些样本中的成分可能会对分析所需的酶产生负面影响。这里提出的方法也有可能适用于现场分析。本文展示了开发汗液敏感条带的初步结果。
