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Forensic Chemistry: Fibre Identification with FTIR, Raman and PGC-MS

Published:

Questions

30

Duration

30 min

Faculty-reviewed

0

Updated

25 May 2026

Score, per-question explanations and topic breakdown shown right after you submit.

About this mock

This medium-difficulty UGC-NET Forensic Science Paper II Unit VII drill covers the forensic identification of textile fibres using polarising microscopy, FTIR spectroscopy, Raman spectroscopy, pyrolysis-GC-MS (PGC-MS), and microspectrophotometry (MSP). Questions range from natural fibre morphology (cotton bilobate cross-section, wool cortex-cuticle structure, silk triangular cross-section, linen node intervals) through synthetic polymer fingerprinting (nylon 6 caprolactam vs nylon 6,6 hexamethylenediamine pyrolysates; PET ester carbonyl at 1712 cm-1 vs PBT at 1711 cm-1; acrylic polyacrylonitrile nitrile stretch at 2240 cm-1; polypropylene CH2 rocking doublet) to dye-class discrimination by HPLC and TLC. SWGMAT fibre sub-group guidelines structure the comparison hierarchy: class determination by FTIR and PGC-MS, followed by subclass by Raman and MSP for dyed fibres, then colour comparison. Birefringence values and sign of elongation distinguish cotton (positive, low birefringence) from linen (positive, higher birefringence) and wool (nearly isotropic under polarised light), which are the near-neighbour distractors most frequently tested. The CFSL Kolkata trace-evidence section follows Robertson and Grieve's tiered comparison protocol and ASTM E2227 for fibre examination terminology.

Aimed at UGC-NET Forensic Science Paper II aspirants covering Unit VII (Fibres and Textile Fibres), NFSU MSc Forensic Chemistry students, FACT aptitude candidates, and CFSL and state FSL scientists rotating through the trace-evidence section. Core references are Robertson and Grieve (Forensic Examination of Fibres, 2nd ed.), Houck and Siegel (Fundamentals of Forensic Science, 3rd ed.), Saferstein (Criminalistics, 12th ed.), and the SWGMAT fibre examination guidelines.

Topics covered:

  • Natural fibres: cotton, wool, silk, linen, jute morphology and cross-section
  • Synthetic fibres: nylon 6 vs 6,6, PET, acrylic, polypropylene
  • Polarising microscopy: birefringence, sign of elongation, refractive indices
  • Cross-sectional shape: bilobate cotton, round wool, triangular silk
  • FTIR: amide I/II bands, ester C=O, nitrile stretch, CH2 rocking
  • Raman spectroscopy for dyed fibre subclass discrimination
  • Pyrolysis-GC-MS: polymer-specific pyrolysate fingerprints
  • Dye analysis: TLC, HPLC, microspectrophotometry
  • Fluorescence microscopy for optical brightener and dye comparison
  • Transfer and persistence principles in fibre casework

Work through each question before reading the explanation, then revisit errors against the Robertson and Grieve, Saferstein, Houck and Siegel, and SWGMAT citations. Allow 30 minutes.

Sources & references

Questions in this mock are written and verified against the following sources. Citations are recorded per question and shown in the explanation after submission.

  • Robertson, James and Grieve, Michael C. (eds.) -- Forensic Examination of Fibres, 2nd Edition, Taylor and Francis

    Chapter 5: Polarising Microscopy of Fibres -- Sign of elongation determination using the first-order red compensator

    cited in 22 questions
  • Houck, Max M. and Siegel, Jay A. -- Fundamentals of Forensic Science, 3rd Edition, Academic Press (Elsevier)

    Chapter 16: Trace Evidence -- Cellulose FTIR profile: O-H at 3340 cm-1, C-O-C fingerprint region, discrimination from nylon and acrylic

    cited in 5 questions
  • Sharma, B.R. -- Forensic Science in Criminal Investigation and Trials, 5th Edition, Universal Law Publishing

    Chapter on Trace Evidence: Fibres -- Jute fibre morphology, cross-sectional shape, lignin content and Indian casework context

    cited in 1 question
  • Saferstein, Richard -- Criminalistics: An Introduction to Forensic Science, 12th Edition, Pearson

    Chapter 8: Hairs, Fibres, and Paint -- Wool cuticle scale morphology and comparison with plant and synthetic fibres

    cited in 1 question
  • SWGMAT Fibre Subgroup -- Guidelines for Forensic Examination of Fibres (Scientific Working Group for Materials Analysis)

    Section 4: Comparison Protocol -- Hierarchical sequence: colour, FTIR class, MSP/Raman dye, PGC-MS subtype

    cited in 1 question

How our mocks are built

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.

Common questions

What does the Forensic Chemistry: Fibre Identification with FTIR, Raman and PGC-MS mock cover?+

This medium-difficulty UGC-NET Forensic Science Paper II Unit VII drill covers the forensic identification of textile fibres using polarising microscopy, FTIR spectroscopy, Raman spectroscopy, pyrolysis-GC-MS (PGC-MS), and microspectrophotometry (MSP). Questions range from natural fibre morphology (cotton bilobate cross-section, wool cortex-cuticle structure, silk triangular cross-section, linen node intervals) through synthetic polymer fingerprinting (nylon 6 caprolactam vs nylon 6,6 hexamethyl

How many questions and how long is the test?+

30 multiple-choice questions, 30 minutes total. Difficulty: medium. Tier: Premium.

Who is this mock for?+

Forensic science students and aspirants who want timed, exam-style practice with explanations and verified source citations on Forensic Chemistry, NET. Useful for postgraduate entrance preparation and for BSc / MSc forensic students testing their recall under time.

Are the questions reviewed?+

Each question carries a verified source citation. Faculty review for individual questions is in progress.

Do I need an account to take this mock?+

Yes, a free ForensicSpot account is required to start a timed attempt — this lets you save progress, see per-question explanations after submission, and track your topic-level performance over time.

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