Highly sensitive and accurate estimation of bloodstain age using smartphone

Wooseok Choi, Joonchul Shin, Kyung A. Hyun, Jaewoo Song, Hyo Il Jung

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The estimation of bloodstain age is an important factor in forensic analysis. Previously, we have reported a smartphone-based colorimetric system for age estimation of bloodstain, in which Whole blood and EDTA whole blood were dropped on 4 different materials (700 μL) and captured using a smartphone for 72 h. In order to enhance sensitivity and accuracy of the previous system, the current work is dedicated towards the application of pattern recognition and classification of bloodstain images based on a smartphone. Three detection methods (blood pool, crack ratio, and colorimetric analysis) in terms of 6 steps of drying process of the bloodstain (coagulation, gelation, edge desiccation, center desiccation, crack propagation, and final desiccation) were applied to estimate age of the bloodstain accurately. Three parameters from the bloodstain images were then classified as comparing to those of stored reference images with similar trends in database. The bloodstain age was successfully determined by 9 h, 18 h, and 48 h with respect to the three detection methods mentioned above, respectively. The differences in bloodstain images were clearly distinguished every hour by using smartphone-based pattern recognition analysis. Therefore, our system is expected to shed a light on the field of forensic science by estimating bloodstain age in real time.

Original languageEnglish
Pages (from-to)414-419
Number of pages6
JournalBiosensors and Bioelectronics
Volume130
DOIs
Publication statusPublished - 2019 Apr 1

Fingerprint

Smartphones
Desiccation
Pattern recognition
Blood
Colorimetric analysis
Forensic Sciences
Ethylenediaminetetraacetic acid
Gelation
Coagulation
Edetic Acid
Crack propagation
Drying
Databases
Cracks
Smartphone

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry

Cite this

Choi, Wooseok ; Shin, Joonchul ; Hyun, Kyung A. ; Song, Jaewoo ; Jung, Hyo Il. / Highly sensitive and accurate estimation of bloodstain age using smartphone. In: Biosensors and Bioelectronics. 2019 ; Vol. 130. pp. 414-419.
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Highly sensitive and accurate estimation of bloodstain age using smartphone. / Choi, Wooseok; Shin, Joonchul; Hyun, Kyung A.; Song, Jaewoo; Jung, Hyo Il.

In: Biosensors and Bioelectronics, Vol. 130, 01.04.2019, p. 414-419.

Research output: Contribution to journalArticle

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