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Box–Behnken design optimisation of a green novel nanobio-based reagent for rapid visualisation of latent fingerprints on wet, non-porous substrates

Azman, Aida Rasyidah and Mahat, Naji Arafat and Abdul Wahab, Roswanira and Ahmad, Wan Azlina and Puspanadan, Jive Kasturi and Mohamed Huri, Mohamad Afiq and Kamaluddin, Mohammad Rahim and Ismail, Dzulkiflee (2021) Box–Behnken design optimisation of a green novel nanobio-based reagent for rapid visualisation of latent fingerprints on wet, non-porous substrates. Biotechnology Letters, 43 (4). pp. 881-898. ISSN 0141-5492

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Official URL: http://dx.doi.org/10.1007/s10529-020-03052-3

Abstract

Objective: Optimisation of the green novel nanobio-based reagent (NBR) for rapid visualisation of groomed fingerprints on wet non-porous substrates using response surface methodology and assessment of its stability and sensitivity were attempted for forensic applications. Results: Scanning electron microscopy images demonstrated successful attachments of NBR onto the constituents of fingerprints on the substrates. The highest average quality of visualised fingerprints was attained at the optimum condition (100 mg of CRL; 75 mg of acid-functionalised multi-walled carbon nanotubes; 5 h of immobilisation). The NBR produced comparable average quality of fingerprints with the commercially available small particle reagent, even after 4 weeks of storage (without any preservatives) in both chilled and sultry conditions. The NBR was sensitive enough to visualise the increasingly weaker fingerprints, particularly on glass slides. Conclusion: The optimised novel NBR could be the relatively greener option for visualising latent fingerprints on wet, non-porous substrates for forensic applications.

Item Type:Article
Uncontrolled Keywords:Candida rugosa lipase, Forensic science
Subjects:Q Science > QD Chemistry
Divisions:Science
ID Code:95052
Deposited By: Widya Wahid
Deposited On:29 Apr 2022 22:23
Last Modified:29 Apr 2022 22:23

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