Posted in | News | Nanomaterials | Nanoanalysis

ZnO Nanoparticles Have Potential For Forensic Applications

Fingerprints are distinct to a person and determine their identity. Although various techniques have been developed to find latent forensic fingerprints, nanotechnology helped further advance the technique.

ZnO Nanoparticles Have Potential For Forensic Applications

Study: Zinc oxide (ZnO) nanoparticles: Synthesis properties and their forensic applications in latent fingerprints development. Image Credit: Torsak Thammachote/Shutterstock.com

An article published in the journal Materials Today: Proceedings presented the synthesis of zinc oxide (ZnO) nanoparticles via a coprecipitation technique and applied the prepared ZnO nanoparticles for fingerprint development. The ZnO nanoparticles were prepared at 60 degrees Celsius using zinc chloride and sodium hydroxide.

The as-prepared ZnO nanoparticles were analyzed using scanning electron microscopy (SEM) and X-ray diffraction (XRD). The results revealed that the synthesized ZnO nanoparticles were less than 100 nanometers in size and had a cone-shaped morphology.

The ZnO nanoparticles were later applied in latent forensic fingerprint detection. The results revealed that the developed fingerprints yielded good results on porous, semi-porous, or nonporous surfaces. Thus, these powders can replace the commercially available powders used by forensic scientists.

Forensic Fingerprint Detection

Fingerprints are the gold standard for personal identification within the forensic community. Fingerprints are the patterns formed by the raised papillary ridges on fingertips, which contain rows of pores that connect to sweat glands.

These ridges, which are formed during the first few months of fetal life, not only remain immutable during their lifetime but, after death, seem to have the peculiar property of outlasting every other recognizable feature of the body.

Powder materials are often used in the field of forensic fingerprint detection. These materials cling to the remnants of fingerprints, distinguishing between background surface and fingerprint features. The development of fingerprints on dry and nonporous surfaces requires powder dusting, which entails the application of a finely divided mixture on fingerprint traces followed by brushing and blowing away excess powder.

Compared to large and coarse particles, small fine particles stick better to each other. However, no single powder formulation was reported to detect latent fingerprints on all types of surfaces. Procedures adopted for fingerprint detection depend on the surface type (porous/semi-porous/nonporous), type of secretions (eccrine/sebaceous), fingerprint age, moisture content, and other factors.

The replacement of conventional technologies with nanotechnology led to vast development in the scientific field. Various structural forms of ZnO nanostructures (nanotubes, nano cables, nanorods, and nanowires) were studied for their industrial applications. The wurtzite structure of ZnO in its hexagonal unit cell makes it an II-VI inorganic compound semiconductor. Additionally, due to the broad bandgap and high exciton binding energy, ZnO is considered a superior semiconductor.

ZnO Nanoparticles for Forensic Applications

ZnO nanostructures are extensively used in industrial applications. The physical properties of ZnO nanoparticles, including conductivity, refractive index, and luminescence, are influenced by their large optical bandgap.

In the present work, the ZnO nanoparticles were prepared from zinc chloride and sodium hydroxide at 60 degrees Celcius via a one-step coprecipitation method resulting in hexagonal-shaped ZnO tube-like microstructures followed by their enhancement using silver (Ag) nanoparticles. This process was devoid of surfactant or reducing agents.

The prepared ZnO nanoparticles were tested for detecting hydrogen, carbon monoxide, and carbon dioxide at different temperature ranges and compared with bare ZnO and Ag/ZnO sensors. The results revealed that Ag mixed ZnO nanoparticles considerably enhanced the gas sensing characteristics. At 300 parts per million, Ag/ZnO nanoparticles showed 479 percent concentration.

The development of forensic fingerprints using prepared ZnO nanoparticles was suitable for different surface types (porous/semi-porous/nonporous). Thus, the replacement of conventional powders with ZnO nanoparticles powder for fingerprint development was demonstrated through the present study.

Limitations of the Developed Powder

Besides the advantages mentioned above, the developed powder for forensic fingerprint visualization was unsuitable for non-contrasting surfaces. Despite the small size of the nanoparticles in the developed powder, it has better adherence to the surface compared to other commercially available powders. On the other hand, the high adherence ability of developed powder could cause smudging on the surface even with slight moisture content.

Moreover, the developed powder was not analyzed for fluorescent properties, as reported in previous studies that mentioned the variable fluorescence of ZnO nanoparticles. The fluorescent properties of fluorescent powders could be useful in forensic fingerprint development for surfaces involving writing and printing that are not visible to the naked eye.

Conclusion

To summarize, the synthesized ZnO nanoparticles were applied to create latent fingerprints. Due to their cost-effective synthesis and no occupational dangers, ZnO nanoparticles are advantageous over commercially available powders in forensic fingerprint development.

Thus, the suggested approach using ZnO nanoparticles was suitable for developing latent fingerprints on dry and wet surfaces, which are employable at crime scenes or in the laboratory. It is a cost-effective and inexpensive method.

Through the present work, the replacement of current toxic powders with nanopowders was demonstrated for latent fingerprint detection in forensic science. Due to the affordability and efficiency of nanoparticles, nanopowders are considered cost-effective alternatives to conventional powders.

Reference

Verma, R.K et al. (2022). Zinc oxide (ZnO) Nanoparticles: Synthesis Properties and their Forensic Applications in Latent Fingerprints Development. Materials Today: Proceedingshttps://www.sciencedirect.com/science/article/pii/S2214785322052282

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Bhavna Kaveti

Written by

Bhavna Kaveti

Bhavna Kaveti is a science writer based in Hyderabad, India. She has a Masters in Pharmaceutical Chemistry from Vellore Institute of Technology, India, and a Ph.D. in Organic and Medicinal Chemistry from Universidad de Guanajuato, Mexico. Her research work involved designing and synthesizing heterocycle-based bioactive molecules, where she had exposure to both multistep and multicomponent synthesis. During her doctoral studies, she worked on synthesizing various linked and fused heterocycle-based peptidomimetic molecules that are anticipated to have a bioactive potential for further functionalization. While working on her thesis and research papers, she explored her passion for scientific writing and communications.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Kaveti, Bhavna. (2022, August 31). ZnO Nanoparticles Have Potential For Forensic Applications. AZoNano. Retrieved on July 20, 2024 from https://www.azonano.com/news.aspx?newsID=39609.

  • MLA

    Kaveti, Bhavna. "ZnO Nanoparticles Have Potential For Forensic Applications". AZoNano. 20 July 2024. <https://www.azonano.com/news.aspx?newsID=39609>.

  • Chicago

    Kaveti, Bhavna. "ZnO Nanoparticles Have Potential For Forensic Applications". AZoNano. https://www.azonano.com/news.aspx?newsID=39609. (accessed July 20, 2024).

  • Harvard

    Kaveti, Bhavna. 2022. ZnO Nanoparticles Have Potential For Forensic Applications. AZoNano, viewed 20 July 2024, https://www.azonano.com/news.aspx?newsID=39609.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.