2012
DOI: 10.1016/j.forsciint.2012.01.020
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Development of an immunoassay for the differentiation of menstrual blood from peripheral blood

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Cited by 15 publications
(5 citation statements)
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“…36,37 An alternative approach using ELISA targeting MMP14, estrogen receptor α, and fibrinogen was used to differentiate between peripheral and menstrual blood, although no other body fluids were tested for cross reactivity. 38…”
Section: Vaginal Secretions and Menstrual Bloodmentioning
confidence: 99%
“…36,37 An alternative approach using ELISA targeting MMP14, estrogen receptor α, and fibrinogen was used to differentiate between peripheral and menstrual blood, although no other body fluids were tested for cross reactivity. 38…”
Section: Vaginal Secretions and Menstrual Bloodmentioning
confidence: 99%
“…Information about the composition of each body fluid is summarized in Table 1, which shows the major components of PB, MB and vaginal fluid [32][33][34][35][36][37][38][39]. Each body fluid has a unique composition, what provides a strong support for the hypothesis that the identification of the body fluids can be achieved using Raman spectroscopy [40].…”
Section: Comparison Of Peripheral and Menstrual Bloodmentioning
confidence: 99%
“…Most confirmatory methods are disadvantageous due to their complex and destructive nature, such as the Takayama crystal test for blood, are not applicable to multiple body fluids, and can be labor-intensive (Greaves, 1932;Johnston, Newman, & Frappier, 2003). Identification of vaginal material and distinguishing between circulatory and menstrual blood is currently difficult due to their mixed composition (Divall, 1984;Divall & Ismail, 1983;Gray, Frascione, & Daniel, 2012). For more information regarding conventional body fluid identification methods in forensic science, see the review by Virkler & Lednev, 2009. Depending on the context of the case, some stains should be comprehensively assessed for all potential body fluids to reduce bias (Fleming & Harbison, 2010).…”
Section: Conventional Body Fluid Identification Methodsmentioning
confidence: 99%