MnCo2O4 spinel nanoparticles as a dusting powder for sebaceous and natural latent fingermarks on substrates of different porosities
Dark particulate developers remain the most widely applied means of visualizing latent fingermarks. Manganese cobalt oxide (MnCo 2 O 4 ) nanoparticles were prepared by alkaline coprecipitation at 80 °C and characterized by XRD, FTIR, FESEM, and EDS, which indicated the formation of the cubic spinel phase of MnCo2O4 with a crystallite size of approximately 21 nm, a particle size of approximately 50 nm, and particle aggregation. Sebaceous and natural fingermarks on ten substrates were developed by powder dusting, visually graded, and scored using NIST Fingerprint Image Quality 2 (NFIQ 2). Sebaceous marks received grades of 4 or 5 on eight substrates, whereas natural marks achieved these grades on five substrates. NFIQ 2 scores correlated with visual grades (Spearman ρ = 0.69) and were higher for sebaceous marks (median 33.5 versus 15.0). Substrate texture inflated the automated minutiae counts, and microscopy showed particle deposition largely confined to the ridges.
Authors
- Kumud Kant Awasthi (ORCID: https://orcid.org/0000-0001-8701-7574)
- Mahipal Singh Sankhla (ORCID: https://orcid.org/0000-0002-7361-3786)
- Rachit Manchanda (ORCID: https://orcid.org/0000-0002-6098-7279)
- Shivam Kumar Mittal (ORCID: https://orcid.org/0009-0002-6438-5491)
- Vaibhav Sharma (ORCID: https://orcid.org/0000-0002-8646-3756)
- Garima Awasthi (ORCID: https://orcid.org/0000-0002-0038-1240)
- Gaurav Singh (ORCID: https://orcid.org/0000-0002-6363-0371)
- Harsh Kumar Pandey (ORCID: https://orcid.org/0000-0002-7169-5204)
- Yogesh Kumar (ORCID: https://orcid.org/0000-0002-3308-2327)
Institutions
- Chandigarh University (IN)
- Teerthanker Mahaveer University (IN)
- Jamia Hamdard (IN)
- KR Mangalam University (IN)
- Manipal University Jaipur (IN)
- Sharda University (IN)
Publication Details
- Journal
- Forensic Science International Synergy
- Published
- 2026-11-07
- DOI
- https://doi.org/10.1016/j.fsisyn.2026.100754
- Primary Topic
- Forensic Fingerprint Detection Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00