التحليل الطيفي ATR FT-IR: مقاربة جديدة وغير متلفة للعينة للكشف عن الدم الموجود على فتيلة خيط واحدة

Virkler K, Lednev IK. Analysis of body fluids for

forensic purposes: From laboratory testing to non-

destructive rapid confirmatory identification at

a crime scene. Forensic Sci Int. 2009;188:1–17.

doi:10.1016/j.forsciint.2009.02.013.

Orphanou CM. The detection and discrimination of

human body fluids using ATR FT-IR spectroscopy.

Forensic Sci Int. 2015;252:e10–6. doi:10.1016/j.

forsciint.2015.04.020.

An JH, Shin KJ, Yang WI, Lee HY. Body fluid

identification in forensics, BMB Rep. 2012; 45: 545–

doi:10.5483/bmbrep.2012.45.10.206.

Zapata F, Fernández de la Ossa MÁ, García-Ruiz C.

Emerging spectrometric techniques for the forensic

analysis of body fluids. TrAC - Trends Anal Chem

;64:53–63. doi:10.1016/j.trac.2014.08.011.

Zapata F, Silva Gregório Martins M. Body Fluids

and Spectroscopic Techniques in Forensics: A Perfect

Match? Journal of forensic medicine. 2016; 1: 1-7.

doi:10.4172/2472-1026.1000101.

Bai P, Deng W, Wang L, Long B, Liu K, Liang W,

et al. Micro RNA profiling for the detection and

differentiation of body fluids in forensic stain analysis.

Forensic Sci Int Genet Suppl Ser. 2013;4:e216–7.

doi:10.1016/j.fsigss.2013.10.111.

Li Z, Bai P, Peng D, Long B, Zhang L, Liang W.

Influences of different RT-qPCR methods on forensic

body fluid identification by microRNA. Forensic Sci

Int Genet Suppl Ser. 2015;5:295–7.doi:10.1016/j.

fsigss.2015.09.117.

Courts C, Madea B. Specific Micro-RNA Signatures

for the Detection of Saliva and Blood in Forensic Body-

fluid Identification. J Forensic Sci. 2011;56:1464–70.

doi:10.1111/j.1556-4029.2011.01894.x.

Hanson EK, Mirza M, Rekab K, Ballantyne J. The

identification of menstrual blood in forensic samples

by logistic regression modeling of miRNA expression.

Electrophoresis 2014;35:3087–95. doi:10.1002/

elps.201400171.

Hanson E, Lubenow H, Ballantyne J. Identification

of forensically relevant body fluids using a panel of

differentially expressed microRNAs. Forensic Sci

Int Genet Suppl Ser. 2009;2:503–4. doi:10.1016/j.

fsigss.2009.08.184.

Zubakov D, Boersma AWM, Choi Y, Kayser

M. MicroRNA markers for forensic body fluid

identification obtained from microarray screening

and quantitative RT-PCR confirmation. Int J Legal

Med. 2010:217–26. doi:10.1007/s00414-009-0402-3.

Haas C, Klesser B, Maake C, Bär W, Kratzer A.

mRNA profiling for body fluid identification by

reverse transcription endpoint PCR and realtime PCR.

Forensic Sci Int Genet. 2009;3:80–8. doi:10.1016/j.

fsigen.2008.11.003.

Juusola J, Ballantyne J. Multiplex mRNA profiling

for the identification of body fluids. Forensic Sci Int.

ASFSFM 2020; Volume 2 Issue (1)Sharma et al.

;152:1–12. doi:10.1016/j.forsciint.2005.02.020.

Fleming R, Harbison S, Lin M. New RNA methods

for the identification of body fluids and cell types.

Forensic Sci Int Genet Suppl Ser. 2013;4:e87–8.

doi:10.1016/j.fsigss.2013.10.044.

Wang S, Wang Z, Tao R, He G, Liu J, Li C. The

potential use of Piwi-interacting RNA biomarkers

in forensic body fl uid identi fi cation : A proof-of-

principle study. Forensic Sci Int Genet. 2019;39:129–

doi:10.1016/j.fsigen.2019.01.002.

Liu B, Song F, Yang Q, Zhou Y, Shao C, Shen Y, et al.

Characterization of tissue-specific biomarkers with

the expression of circRNAs in forensically relevant

body fluids. Int J Legal Med. 2019:1–11.doi: 10.1007/

s00414-019-02027-y

An JH, Choi A, Shin K. DNA methylation-specific

multiplex assays for body fluid identification. Int J

Leg Med. 2013;127:35–43. doi:10.1007/s00414-012-

-1.

Antunes J, Silva DSBS, Balamurugan K, Duncan G,

Alho CS, Mccord B. High-resolution melt analysis of

DNA methylation to discriminate semen in biological

stains. Anal Biochem. 2016;494:40–5. doi:10.1016/j.

ab.2015.10.002.

Choi A, Shin KJ, Yang WI, Lee HY. Body fluid

identification by integrated analysis of DNA

methylation and body fluid-specific microbial DNA.

Int J Legal Med. 2014;128:33–41. doi:10.1007/

s00414-013-0918-4.

Gomaa R, Salehi J, Behl S. DNA Methylation as

a Biomarker for Body Fluid Identification. Arab

J Forensic Sci Forensic Med. 2017;1:681–94.

doi:10.26735/16586794.2017.001.

Fachet C, Quarino L. High resolution melt curve

analysis based on methylation status for human semen

identification. Forensic Sci Med Pathol. 2017:86–91.

doi:10.1007/s12024-016-9825-6.

Forat S, Huettel B, Reinhardt R, Fimmers R, Haidl

G, Denschlag D, et al. Methylation Markers for

the Identification of Body Fluids and Tissues from

Forensic Trace Evidence. PLoS ONE. 2016:1–19.

doi:10.1371/journal.pone.0147973.

Frumkin D, Wasserstrom A, Budowle B, Davidson A.

DNA methylation-based forensic tissue identification.

Forensic Sci Int Genet. 2011;5:517–24. doi:10.1016/j.

fsigen.2010.12.001.

Fu XD, Wu J, Wang J, Huang Y, Hou YP, Yan J.

Identification of body fluid using tissue-specific DNA

methylation markers. Forensic Sci Int Genet Suppl

Ser. 2015;5:151–3. doi: 10.1016/j.fsigen.2014.07.011.

Gomes I, Kohlmeier F, Schneider PM. Genetic

markers for body fluid and tissue identification

ASFSFM 2020; Volume 2 Issue (1)

in forensics. Forensic Sci Int Genet Suppl Ser.

;3:e469–70. doi:10.1016/j.fsigss.2011.09.096.

Zrnec D, Vickovic S, Grs B, Popovic M. DNA

methylation : the future of crime scene investigation ?

Mol Biol Rep. 2013:4349–60. doi:10.1007/s11033-

-2525-3.

Auvdel MJ. Comparison of laser and ultraviolet

techniques used in the detection of body secretions.

J Forensic Sci. 1987;32:326–45.doi: 10.1520/

JFS11136J.

Vandenberg N, van Oorschot RAH. The Use of

Polilight® in the Detection of Seminal Fluid,

Saliva, and Bloodstains and Comparison with

Conventional Chemical-Based Screening Tests. J

Forensic Sci. 2006;51:361–70. doi:10.1111/j.1556-

2006.00065.x.

Fiedler A, Rehdorf J, Hilbers F, Johrdan L, Stribl C,

Benecke M. Detection of Semen(Human and Boar)

and Saliva on Fabrics by a Very High Powered UV-/

VIS-Light Source. Open Forensic Sci J. 2008;1:12–5.

doi:10.2174/1874402800801010012

Zapata F, de la Ossa MÁF, García-Ruiz

C. Differentiation of Body Fluid Stains on

Fabrics Using External Reflection Fourier

Transform Infrared Spectroscopy (FT-IR) and

Chemometrics. Appl Spectrosc. 2016;70:654–65.

d o i : 1 0 . 11 7 7 / 0 0 0 3 7 0 2 8 1 6 6 3 1 3 0 3 .

Muro CK, Doty KC, Bueno J, Halámková L, Lednev

IK. Vibrational Spectroscopy: Recent Developments

to Revolutionize Forensic Science. Anal Chem.

;87:306–27. doi:10.1021/ac504068a.

Boyd S, Bertino MF, Ye D, White LS, Seashols SJ.

Highly Sensitive Detection of Blood by Surface

Enhanced Raman Scattering. J Forensic Sci.

;58:753–6.

doi:10.1111/1556-4029.12120.

Muro CK, Doty KC, de Souza Fernandes L,

Lednev IK. Forensic body fluid identification and

differentiation by Raman spectroscopy. Forensic

Chem. 2016;1:31–8. doi:10.1016/j.forc.2016.06.003.

Virkler K, Lednev IK. Raman spectroscopic signature

of semen and its potential application to forensic body

fluid identification. Forensic Sci Int. 2009;193:56–62.

doi:10.1016/j.forsciint.2009.09.005.

Sikirzhytski V, Sikirzhytskaya A, Lednev IK.

Multidimensional Raman spectroscopic signature of

sweat and its potential application to forensic body

fluid identification. Anal Chim Acta. 2012;718:78–

doi:10.1016/j.aca.2011.12.059.

Feine I, Gafny R, Pinkas I. Combination of prostate-

specific antigen detection and micro-Raman

spectroscopy for confirmatory semen detection.40

ATR FT-IR Spectroscopy: A Novel and Non-Destructive Approach for the Detection of Blood on a Single Fiber

Forensic Sci Int. 2017;270:241–7. doi:10.1016/j.

forsciint.2016.10.012.

Huang Z, Chen X, Chen Y, Feng S, Chen R, Chen

J, et al. Raman spectroscopic characterization and

differentiation of seminal plasma. J Biomed Opt.

;16:1–4. doi:10.1117/1.3650310

McLaughlin G, Sikirzhytski V, Lednev IK.

Circumventing substrate interference in the Raman

spectroscopic identification of blood stains.

Forensic Sci Int. 2013;231:157–66. doi:10.1016/j.

forsciint.2013.04.033.

McLaughlin G, Lednev IK. In Situ Identification of

Semen Stains on Common Substrates via Raman

Spectroscopy. J Forensic Sci. 2015;60:595–604.

doi:10.1111/1556-4029.12708.

McLaughlin G, Doty KC, Lednev IK. Raman

Spectroscopy of Blood for Species Identification.

Anal Chem. 2014;86:11628–33. doi:10.1021/

ac5026368.

Doty KC, Lednev IK. Differentiation of human

blood from animal blood using Raman spectroscopy:

A survey of forensically relevant species.

Forensic Sci Int. 2018;282:204–10. doi:10.1016/j.

forsciint.2017.11.033.

Fujihara J, Fujita Y, Yamamoto T, Nishimoto

N, Kimura-Kataoka K, Kurata S, et al. Blood

identification and discrimination between human and

nonhuman blood using portable Raman spectroscopy.

Int J Legal Med. 2017;131:319–22. doi:10.1007/

s00414-016-1396-2.

Virkler K, Lednev IK. Blood Species Identification

for Forensic Purposes Using Raman Spectroscopy

Combined with Advanced Statistical Analysis. Anal

Chem. 2009;81:7773–7. doi:10.1021/ac901350a.

Mistek E, Halámková L, Doty KC, Muro CK,

Lednev IK. Race Differentiation by Raman

Spectroscopy of a Bloodstain for Forensic Purposes.

Anal Chem. 2016;88:7453–6. doi:10.1021/acs.

analchem.6b01173.

Muro CK, Lednev IK. Race Differentiation Based on

Raman Spectroscopy of Semen Traces for Forensic

Purposes. Anal Chem. 2017;89:4344–8. doi:10.1021/

acs.analchem.7b00106.

Muro CK, de Souza Fernandes L, Lednev IK. Sex

Determination Based on Raman Spectroscopy

of Saliva Traces for Forensic Purposes. Anal

Chem.

;88:12489–93.

doi:10.1021/acs.

analchem.6b03988.

Sikirzhytskaya A, Sikirzhytski V, K Lednev I. Raman

spectroscopy coupled with advanced statistics for

differentiating menstrual and peripheral blood.

Journal of biophotonics. 2014; 7: 59-67 doi:10.1002/

jbio.201200191.

Zapata F, Fernández de la Ossa MÁ, García-Ruiz C.

Emerging spectrometric techniques for the forensic

analysis of body fluids. TrAC Trends Anal Chem

;64:53–63. doi:10.1016/j.trac.2014.08.011.

Quinn AA, Elkins KM. The Differentiation of

Menstrual from Venous Blood and Other Body Fluids

on Various Substrates Using ATR FT-IR Spectroscopy.

J Forensic Sci 2017;62:197–204. doi:10.1111/1556-

13250.

Gregório I, Zapata F, García-Ruiz C. Analysis of

human bodily fluids on superabsorbent pads by

ATR-FTIR. Talanta 2017;162:634–40. doi:10.1016/j.

talanta.2016.10.061.

Elkins KM. Rapid Presumptive “Fingerprinting”

of Body Fluids and Materials by ATR FT-IR

Spectroscopy. J Forensic Sci. 2011;56:1580–7.

doi:10.1111/j.1556-4029.2011.01870.x.

De Wael K, Lepot L, Gason F, Gilbert B. In search

of blood—Detection of minute particles using

spectroscopic methods. Forensic Sci Int. 2008;180:37–

doi:10.1016/j.forsciint.2008.06.013.

Gregório I, Zapata F, Torre M, García-Ruiz C.

Statistical approach for ATR-FTIR screening of

semen in sexual evidence. Talanta 2017;174:853–7.

doi:10.1016/j.talanta.2017.07.016.

Sharma S, Chophi R, Singh R. Forensic discrimination

of menstrual blood and peripheral blood using

attenuated total reflectance (ATR)-Fourier transform

infrared (FT-IR) spectroscopy and chemometrics.

Int J Legal Med 2019. doi:10.1007/s00414-019-

-w.

Lin H, Zhang Y, Wang Q, Li B, Huang P, Wang Z.

Estimation of the age of human bloodstains under the

simulated indoor and outdoor crime scene conditions

by ATR-FTIR spectroscopy. Sci Rep. 2017;7:13254.

doi:10.1038/s41598-017-13725-1.

Lin H, Zhang Y, Wang Q, Li B, Fan S, Wang Z.

Species identification of bloodstains by ATR-

FTIR spectroscopy: the effects of bloodstain age

and the deposition environment. Int J Legal Med.

;132:667–74. doi:10.1007/s00414-017-1634-2.

Zhang Y, Wang Q, Li B, Wang Z, Li C, Yao Y, et

al. Changes in Attenuated Total Reflection Fourier

Transform Infrared Spectra as Blood Dries Out. J

Forensic Sci. 2017; 62:761–7. doi:10.1111/1556-

13324.

Takamura A, Watanabe K, Akutsu T, Ozawa T.

Soft and Robust Identification of Body Fluid Using

Fourier Transform Infrared Spectroscopy and

Chemometric Strategies for Forensic Analysis. Sci

Rep. 2018;8:8459. doi:10.1038/s41598-018-26873-

ASFSFM 2020; Volume 2 Issue (1)Sharma et al.

Takamura A, Watanabe K, Akutsu T, Ikegaya H,

Ozawa T. Spectral Mining for Discriminating Blood

Origins in the Presence of Substrate Interference

via Attenuated Total Reflection Fourier Transform

Infrared Spectroscopy: Postmortem or Antemortem

Blood? Anal Chem. 2017;89:9797–804. doi:10.1021/

acs.analchem.7b01756.

Takamura A, Halamkova L, Ozawa T, Lednev

IK. Phenotype Profiling for Forensic Purposes:

Determining Donor Sex Based on Fourier

Transform Infrared Spectroscopy of Urine Traces.

Anal Chem. 2019;91:6288–95. doi:10.1021/acs.

analchem.9b01058.

Zhang K, Wang Q, Liu R, Wei X, Li Z, Fan S, et

al. Evaluating the effects of causes of death on

postmortem interval estimation by ATR-FTIR

spectroscopy. Int J Legal Med. 2019. doi:10.1007/

s00414-019-02042-z.

Lu Z, DeJong SA, Cassidy BM, Belliveau RG,

Myrick ML, Morgan SL. Detection Limits for Blood

on Fabrics Using Attenuated Total Reflection Fourier

Transform Infrared (ATR FT-IR) Spectroscopy and

Derivative Processing. Appl Spectrosc. 2016;71:839–

doi:10.1177/0003702816654154.

Cai S, Singh BR. Identification of β-turn and random

coil amide III infrared bands for secondary structure

estimation of proteins. Biophys Chem 1999;80:7–20.

doi:10.1016/S0301-4622(99)00060-5.

Garside P, Wyeth P. Identification of Cellulosic

Fibres by FTIR Spectroscopy I: Thread and Single

Fibre Analysis by Attenuated Total Reflectance.

Studies in Conservation. 2003; 48:269-275.

doi:10.2307/1506916.

Peets P, Leito I, Pelt J, Vahur S. Identification

and classification of textile fibres using ATR-

FT-IR spectroscopy with chemometric methods.

Spectrochim Acta Part A Mol Biomol Spectrosc.

;173:175–81.

doi:10.1016/j.saa.2016.09.007.

Lang PL, Katon JE, O’Keefe JF, Schiering DW.

The identification of fibers by infrared and Raman

microspectroscopy. Microchem J. 1986;34:319–31.

doi:10.1016/0026-265X(86)90127-X.

Chen H, Lin Z, Tan C. Classification of different

animal fibers by near infrared spectroscopy and

chemometric models. Microchem J. 2019;144:489–

doi:10.1016/j.microc.2018.10.011.

Kumar R, Sharma V. Chemometrics in forensic

ASFSFM 2020; Volume 2 Issue (1)

science. TrAC Trends Anal Chem 2018;105:191–

doi:10.1016/j.trac.2018.05.010.

Silva CS, Pimentel MF, Amigo JM, Honorato RS,

Pasquini C. Detecting semen stains on fabrics using

near infrared hyperspectral images and multivariate

models. TrAC Trends Anal Chem. 2017;95:23–35.

doi:10.1016/j.trac.2017.07.026.

Gautam R, Vanga S, Ariese F, Umapathy S. Review

of multidimensional data processing approaches for

Raman and infrared spectroscopy. EPJ Tech Instrum.

;2:8. doi:10.1140/epjti/s40485-015-0018-6.

Lee LC, Liong C-Y, Jemain AA. A contemporary

review on Data Preprocessing (DP) practice

strategy in ATR-FTIR spectrum. Chemom

Intell Lab Syst 2017;163:64–75. doi:10.1016/j.

chemolab.2017.02.008.

Narayanan K, Thirunavukkarasu M, Esther Jeyanthi

C, Shenbagarajan P. FTIR and UV-visible spectral

study on normal blood samples. Int J Pharma. Bio.

Sci. 2011; 1:74-81.

Chung C, Lee M, Choe EK. Characterization of

cotton fabric scouring by FT-IR ATR spectroscopy.

Carbohydr Polym 2004;58:417–20. doi:10.1016/j.

carbpol.2004.08.005.

Li L, Frey M, Browning KJ. Biodegradability Study

on Cotton and Polyester Fabrics. J Eng Fiber Fabr.

; 42-53. doi:10.1177/155892501000500406.

Kong J, Yu S. Fourier Transform Infrared Spectroscopic

Analysis of Protein Secondary Structures. Acta

Biochim Biophys Sin (Shanghai) 2007;39:549–59.

doi:10.1111/j.1745-7270.2007.00320.x.

Dong A, Huang P, Caughey WS. Protein secondary

structures in water from second-derivative amide

I infrared spectra. Biochemistry 1990;29:3303–8.

doi:10.1021/bi00465a022.

Pelton JT, McLean LR. Spectroscopic Methods

for Analysis of Protein Secondary Structure.

Anal Biochem. 2000; 277:167–76. doi:10.1006/

abio.1999.4320.

Haris PI. Probing protein–protein interaction

in biomembranes using Fourier transform

infrared spectroscopy. Biochim Biophys Acta -

Biomembr. 2013;1828:2265–71. doi:10.1016/j.

bbamem.2013.04.008.

Morillas AV, Gooch J, Frascione N. Feasibility of

a handheld near infrared device for the qualitative

analysis of bloodstains. Talanta. 2018;184:1–6.

doi:10.1016/j.talanta.2018.02.110.