Literature DB >> 11453097

Species identification of blood and bloodstains by high-performance liquid chromatography.

H Inoue1, F Takabe, O Takenaka, M Iwasa, Y Maeno.   

Abstract

A reverse-phase high-performance liquid chromatographic method for species identification of blood and bloodstains is described. The method employs a 300 A pore SynChropak RP-4 column and ternary solvents (acetonitrile-trifluoroacetic acid-water) and can not only identify a species by its characteristic chromatogram, but also simultaneously demonstrates that it is of blood origin by the existence of the heme peak. Deformations in chromatographic profiles obtained with older bloodstains were observed, but the retention times of heme and the major peaks showed only minor changes. The species could be identified from bloodstains at least 3 months old and the present method has the advantage of simplicity, speed and sensitivity in the practice of forensic science.

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Year:  1990        PMID: 11453097     DOI: 10.1007/BF01816476

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  12 in total

1.  PRECIPITIN REACTIONS IN FORENSIC PROBLEMS. A NEW METHOD FOR PRECIPITIN REACTIONS ON FORENSIC BLOOD, SEMEN AND SALIVA STAINS.

Authors:  B J CULLIFORD
Journal:  Nature       Date:  1964-03-14       Impact factor: 49.962

2.  Simultaneous identification and determination of species origin, ABH antigens and isoenzyme markers in the same bloodstain.

Authors:  H C Lee; R E Gaensslen; E M Pagliaro; S K Lee; J Carroll-Reho
Journal:  Forensic Sci Int       Date:  1985 Nov-Dec       Impact factor: 2.395

3.  Separation of normal and abnormal hemoglobin chains by reversed-phase high-performance liquid chromatography.

Authors:  F Kutlar; A Kutlar; T H Huisman
Journal:  J Chromatogr       Date:  1986-04-23

4.  Purification and functional properties of the hemoglobin components from the rat (Wistar).

Authors:  S G Condò; B Giardina; D Barra; S J Gill; M Brunori
Journal:  Eur J Biochem       Date:  1981-05-15

5.  Rat hemoglobin heterogeneity: genetic variation affecting hemoglobin proportions.

Authors:  J G Gilman; M C Datta
Journal:  Hemoglobin       Date:  1982       Impact factor: 0.849

6.  High performance liquid chromatographic separation of the globin chains of non-human hemoglobins.

Authors:  W A Schroeder; J B Shelton; J R Shelton; V Huynh; D B Teplow
Journal:  Hemoglobin       Date:  1985       Impact factor: 0.849

7.  Identification of species specific hemoglobin by isoelectric focusing.

Authors:  M Oshima; T Inoue; M Hara
Journal:  Forensic Sci Int       Date:  1982 Nov-Dec       Impact factor: 2.395

8.  Novel hemoglobin components and their amino acid sequences from the crab-eating macaque (Macaca fascicularis).

Authors:  A Takenaka; K Takahashi; O Takenaka
Journal:  J Mol Evol       Date:  1988 Dec-1989 Feb       Impact factor: 2.395

9.  Development of a radioimmunoassay technique for the detection of human hemoglobin in dried bloodstains.

Authors:  L Quarino; L Kobilinsky
Journal:  J Forensic Sci       Date:  1988-11       Impact factor: 1.832

10.  BLOOD GROUP ACTIVITY OF GRAM-NEGATIVE BACTERIA.

Authors:  G F Springer; P Williamson; W C Brandes
Journal:  J Exp Med       Date:  1961-06-01       Impact factor: 14.307

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  4 in total

1.  Identification of fetal hemoglobin and simultaneous estimation of bloodstain age by high-performance liquid chromatography.

Authors:  H Inoue; F Takabe; M Iwasa; Y Maeno
Journal:  Int J Legal Med       Date:  1991       Impact factor: 2.686

2.  Blood species discrimination using proton nuclear magnetic resonance spectroscopy.

Authors:  Elina Zailer; Bernd W K Diehl; Yulia B Monakhova
Journal:  Int J Legal Med       Date:  2016-11-25       Impact factor: 2.686

3.  Dual-model analysis for improving the discrimination performance of human and nonhuman blood based on Raman spectroscopy.

Authors:  Haiyi Bian; Peng Wang; Ning Wang; Yubing Tian; Pengli Bai; Haowen Jiang; Jing Gao
Journal:  Biomed Opt Express       Date:  2018-07-05       Impact factor: 3.732

4.  Blood species identification based on deep learning analysis of Raman spectra.

Authors:  Shan Huang; Peng Wang; Yubing Tian; Pengli Bai; DaQing Chen; Ce Wang; JianSheng Chen; ZhaoBang Liu; Jian Zheng; WenMing Yao; JianXin Li; Jing Gao
Journal:  Biomed Opt Express       Date:  2019-11-06       Impact factor: 3.732

  4 in total

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