Smart forensic kit: Real-time estimation of postmortem interval using a highly sensitive gas sensor for microbial forensics

Authors
Shin, JoonchulSong, Young GeunJung, Sung-JinYoon, TaeeheeKim, Gwang SuKim, Jeong HunPark, Hyung-HoJu, Byeong-KwonKim, Seong KeunBaek, Seung-HyubJung, Hyo-IlKang, Chong-YunKim, Jin-Sang
Issue Date
2020-11
Publisher
ELSEVIER SCIENCE SA
Citation
SENSORS AND ACTUATORS B-CHEMICAL, v.322
Abstract
Microbial forensics, exploiting bacteria, archaea, and eukaryotes, has been considered as one of the primary fields to trace the postmortem interval from the decaying cadavers. On the other hand, there remain several challenges of laboratory-based analysis for prediction of postmortem interval, including long-time measurement, complicated measuring procedure, and bacterial growth while carrying samples from the scene. Herein, we introduce the Smart Forensic Kit, which consists of a highly sensitive colorimetric gas sensor, a quality control algorithm, and a smartphone-based analysis method, to quantify the bacterial-derived ammonia gas in real-time. As a result, the estimation system of the postmortem interval has a superior selectivity to the ammonia gas with a detection limit of 38.7 ppb, response linearity to the target bacteria (Escherichia colt , Pseudomonas aeruginosa, and Pseudomonas putida), and short measuring time (10 min) with the maximum predicted postmortem interval from the mouse carcass (168 h). Furthermore, thanks to measuring the postmortem interval within 10 min, the negligible increase rate of bacterial concentration was observed. Consequently, the results reflected a high correlation between the ammonia gas emitted from bacteria and the postmortem interval so that we believe the Smart Forensic Kit will be applied for tracing down the decomposition of the cadavers in the near future.
Keywords
AMMONIA PRODUCTION; AMINES; LEVEL; STRIP; Postmortem interval; Colorimetric analysis; Polymer-based gas sensor; Bromophenol blue; Bacteria
ISSN
0925-4005
URI
https://pubs.kist.re.kr/handle/201004/117966
DOI
10.1016/j.snb.2020.128612
Appears in Collections:
KIST Article > 2020
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