Box–Behnken design optimisation of a green novel nanobio-based reagent for rapid visualisation of latent fingerprints on wet, non-porous substrates
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...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Published: |
Springer Science and Business Media B.V.
2021
|
| Subjects: |
| _version_ | 1796865943745331200 |
|---|---|
| author | Azman, Aida Rasyidah Mahat, Naji Arafat Abdul Wahab, Roswanira Ahmad, Wan Azlina Puspanadan, Jive Kasturi Mohamed Huri, Mohamad Afiq Kamaluddin, Mohammad Rahim Ismail, Dzulkiflee |
| author_facet | Azman, Aida Rasyidah Mahat, Naji Arafat Abdul Wahab, Roswanira Ahmad, Wan Azlina Puspanadan, Jive Kasturi Mohamed Huri, Mohamad Afiq Kamaluddin, Mohammad Rahim Ismail, Dzulkiflee |
| author_sort | Azman, Aida Rasyidah |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T21:04:47Z |
| format | Article |
| id | utm.eprints-95052 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:04:47Z |
| publishDate | 2021 |
| publisher | Springer Science and Business Media B.V. |
| record_format | dspace |
| spelling | utm.eprints-950522022-04-29T22:23:35Z http://eprints.utm.my/95052/ 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 Mahat, Naji Arafat Abdul Wahab, Roswanira Ahmad, Wan Azlina Puspanadan, Jive Kasturi Mohamed Huri, Mohamad Afiq Kamaluddin, Mohammad Rahim Ismail, Dzulkiflee QD Chemistry 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. Springer Science and Business Media B.V. 2021 Article PeerReviewed 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 http://dx.doi.org/10.1007/s10529-020-03052-3 |
| spellingShingle | QD Chemistry Azman, Aida Rasyidah Mahat, Naji Arafat Abdul Wahab, Roswanira Ahmad, Wan Azlina Puspanadan, Jive Kasturi Mohamed Huri, Mohamad Afiq Kamaluddin, Mohammad Rahim Ismail, Dzulkiflee Box–Behnken design optimisation of a green novel nanobio-based reagent for rapid visualisation of latent fingerprints on wet, non-porous substrates |
| title | Box–Behnken design optimisation of a green novel nanobio-based reagent for rapid visualisation of latent fingerprints on wet, non-porous substrates |
| title_full | Box–Behnken design optimisation of a green novel nanobio-based reagent for rapid visualisation of latent fingerprints on wet, non-porous substrates |
| title_fullStr | Box–Behnken design optimisation of a green novel nanobio-based reagent for rapid visualisation of latent fingerprints on wet, non-porous substrates |
| title_full_unstemmed | Box–Behnken design optimisation of a green novel nanobio-based reagent for rapid visualisation of latent fingerprints on wet, non-porous substrates |
| title_short | Box–Behnken design optimisation of a green novel nanobio-based reagent for rapid visualisation of latent fingerprints on wet, non-porous substrates |
| title_sort | box behnken design optimisation of a green novel nanobio based reagent for rapid visualisation of latent fingerprints on wet non porous substrates |
| topic | QD Chemistry |
| work_keys_str_mv | AT azmanaidarasyidah boxbehnkendesignoptimisationofagreennovelnanobiobasedreagentforrapidvisualisationoflatentfingerprintsonwetnonporoussubstrates AT mahatnajiarafat boxbehnkendesignoptimisationofagreennovelnanobiobasedreagentforrapidvisualisationoflatentfingerprintsonwetnonporoussubstrates AT abdulwahabroswanira boxbehnkendesignoptimisationofagreennovelnanobiobasedreagentforrapidvisualisationoflatentfingerprintsonwetnonporoussubstrates AT ahmadwanazlina boxbehnkendesignoptimisationofagreennovelnanobiobasedreagentforrapidvisualisationoflatentfingerprintsonwetnonporoussubstrates AT puspanadanjivekasturi boxbehnkendesignoptimisationofagreennovelnanobiobasedreagentforrapidvisualisationoflatentfingerprintsonwetnonporoussubstrates AT mohamedhurimohamadafiq boxbehnkendesignoptimisationofagreennovelnanobiobasedreagentforrapidvisualisationoflatentfingerprintsonwetnonporoussubstrates AT kamaluddinmohammadrahim boxbehnkendesignoptimisationofagreennovelnanobiobasedreagentforrapidvisualisationoflatentfingerprintsonwetnonporoussubstrates AT ismaildzulkiflee boxbehnkendesignoptimisationofagreennovelnanobiobasedreagentforrapidvisualisationoflatentfingerprintsonwetnonporoussubstrates |