Blood Stain Detection and Identification: Foundations (UGC-NET Unit III)
Questions
30
Duration
30 min
Faculty-reviewed
0
Updated
17 May 2026
Practice with national-level exam (FACT, FACT Plus, NET, CUET, etc.) mocks, learn from structured notes, and get your doubts solved in one place.
Questions
30
Duration
30 min
Faculty-reviewed
0
Updated
17 May 2026
Score, per-question explanations and topic breakdown shown right after you submit.
UGC-NET Forensic Science Unit III drill on detection and identification of blood stains at the foundations level. Covers presumptive colour tests (Kastle-Meyer with phenolphthalein, Leuco-malachite green, Tetramethylbenzidine, the historical and carcinogenic Benzidine), Luminol chemiluminescence for latent and cleaned stains, confirmatory crystal tests (Teichmann haemin and Takayama haemochromogen), spectroscopic confirmation through the Soret band of haemoglobin, common interferences from horseradish peroxidase, copper salts, rust and bleach, sensitivity benchmarks for Luminol down to 1 in 10,000 dilution, proper collection of wet and dried stains, aging of bloodstains through oxyhaemoglobin to methaemoglobin to hemichrome, identification of menstrual versus venous blood via D-dimer ELISA, rapid immunochromatographic tests (RSID-Blood, Hexagon OBTI), species identification through Ouchterlony precipitin, and bloodstain pattern analysis basics (passive, transfer and projected patterns, angle of impact, area of origin).
Built for UGC-NET Paper II Forensic Science aspirants, NFSU MSc Forensic Biology and Serology students, FACT candidates, and CFSL Biology Division trainees who need a quick concept refresh on serology foundations.
Topics covered:
Easy-band questions calibrated for first-pass UGC-NET preparation. Allow 30 minutes.
Questions are written and edited by the ForensicSpot team and cited from peer-reviewed forensic textbooks, official syllabi and primary case law. Each one is verified before publishing. Detailed explanations show after you submit, so the test stays a real test. See a mistake? Tell us.