ACS Cent Sci July 2018 PMID 30062114

Differentiating Donor Age Groups Based on Raman Spectroscopy of Bloodstains for Forensic Purposes.

Kyle C Doty, Igor K Lednev

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Mentions

23
Peak: 2 in Jul 2019
across 5 sources since Jun 2019

Extended reach

31,917
potential audience

Total likes

10

Video views

302

Mentions per month

Jun 2019 – Jul 2023

Where it's discussed

  • News12 articles
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  • X / Twitter3 posts
  • Facebook3 posts
  • YouTube1 videos

AI synopsis

What people are saying

The discussions highlight the technical aspects of the study, citing methods like Raman spectroscopy and chemometrics, and mention the researchers involved, which demonstrates interest in the scientific details. The tone is neutral and focused on understanding the research rather than advocating for immediate application, reflecting moderate engagement and perceived impact.

AgreementNeither agree nor disagree

Most comments acknowledge the research's potential but do not strongly endorse or criticize it.

InterestModerate interest

Discussions show curiosity about the scientific methods but are not deeply passionate.

EngagementModerate engagement

Participants reference specific techniques and researchers, indicating some level of thoughtful engagement.

ImpactModerate impact

Lack of explicit statements about the significance or transformative power suggests moderate perceived impact.

Abstract in brief

  • The study explores how Raman spectroscopy combined with chemometrics can distinguish blood samples based on the donor's age category (newborns, adolescents, adults), providing a rapid and non-invasive tool for forensic investigations.
  • The researchers built a model using support vector machines discriminant analysis (SVMDA), which achieved high accuracy (around 96-97%) in correctly identifying the age groups of blood donors, showing promise for practical forensic use.
  • Determining the age of a blood donor is especially useful because, unlike sex and race, it cannot be identified through DNA, and this method could potentially provide crucial information at a crime scene within a few hours, aiding detectives significantly.]

Top posts

Most liked on X and Bluesky
ACS Central Science
@ACSCentSci · X

Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & #chemometrics! @ACSCentSci research by Kyle C. Doty & Igor K. Lednev @ualbany: https://t.co/m1O0lg59g8 https://t.co/28Fs7Q1Vdm via @YouTube

Jul 18, 2019 · 3 likes · 1 share · 28,147 followers View post →
CalibrationModel
@CalibModel · X

RT @ACSCentSci: Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & #chemometrics! @ACSCentSci research by Ky…

Jul 19, 2019 · 1 share · 1,945 followers View post →

All mentions

Gac Ciencia Forense
@GacetaCienForen · X

Differentiating Donor Age Groups Based on Raman Spectroscopy of Bloodstains for Forensic Purposes --- https://t.co/5RLWSauDWC

Jul 30, 2023 · 1,520 followers View post →
CalibrationModel
@CalibModel · X

RT @ACSCentSci: Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & #chemometrics! @ACSCentSci research by Ky…

Jul 19, 2019 · 1 share · 1,945 followers View post →
ACS Central Science
@ACSCentSci · X

Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & #chemometrics! @ACSCentSci research by Kyle C. Doty & Igor K. Lednev @ualbany: https://t.co/m1O0lg59g8 https://t.co/28Fs7Q1Vdm via @YouTube

Jul 18, 2019 · 3 likes · 1 share · 28,147 followers View post →