Development Of Fingerprints Research Articles

Latent fingermark development on fired and unfired brass ammunition under controlled and blind conditions

There has been growing interest in the Foster+Freeman RECOVER® Latent Fingerprint Technology system to develop fingermarks from fired ammunition. Over a six-month period, 1540 fingermarks were deposited on brass.223 ammunition, the majority of which were then fired after different time intervals. Samples were subjected to a cleaning protocol and/or processed with disulfur dinitride, cyanoacrylate/Brilliant Yellow 40, and/or vacuum metal deposition. Overall, 121 out of 1304 (9.3%) of natural fingermarks deposited were deemed identifiable post-firing and processing. This translated to 102 out of 652 (15.6%) of fired cartridges having identifiable fingermarks. A pseudo-operational study, which involved processing 1000 fired brass ammunition of various caliber using disulfur dinitride with and without a cleaning protocol, was conducted; only 18 (1.8%) comparable fingermarks were developed. This study demonstrates the need for more robust research involving this challenging substrate and novel technology, with which several issues were identified.

Investigating the Relationship between Fingerprint Pattern and Development of Oral Squamous Cell Carcinoma.

Statement of the Problem: Oral squamous cell carcinoma (OSCC) constitutes more than 90% of oral malignancies. The main risk factors of OSCC include cigarette smoking and alcohol. However, since not all smokers or alcohol drinkers develop this disease, other factors have also been suggested including genetic characteristics of every person to be implicated in the probability of developing OSCC.Purpose: Our aim in this study is to investigate the possible relationship between fingerprint patterns and the probability of developing OSCC.Materials and Method: In a cross sectional study, we had 140 patients in 2 groups as OSCC and cancer free. Fingerprints were recorded by fingerprint scanner device. The fingerprint patterns were categorized into three major groups and four subgroups. Groups were tested by chi-square.Results: The relationship between the main fingerprint patterns and incidence of OSCC became significant (p= 0.037). The frequency of the main pattern of Arch was significantly higher in the experimental group than in the control group (p< 0.05). Considering the main patterns of Loop and Whorl, no significant difference existed between the two groups. Furthermore, the frequency of subtype patterns of Double Whorl and Central Pocket Whorl was significantly higher in the control group than in the experimental group (p< 0.05).Conclusion: Since dermatoglyphics is contingent upon genetic variations, fingerprint can be used for investigating the susceptibility of people in developing different diseases, though further studies are required in this regard. This method is in no way a substitute for gold standard methods for diagnosis.

Deep learning-assisted Fe3O4 NPs for in-situ visual recognition of multi-dimensional information on latent fingerprints

Latent fingerprints (LFPs) are important trace evidences found at crime scenes that assist forensic experts in human identification, and a growing number of studies show that LFPs have some medical value. Herein, as one of the common nanoenzymes, Fe3O4 nanoparticles (Fe3O4 NPs) was used for LFPs imaging due to its excellent superparamagnetic properties and for recognition of glucose/H2O2 on LFPs because of its horseradish peroxidase-like activity, which makes it possible to diagnose diabetes non-invasively through LFPs. Furthermore, the intelligent qualitative and semi-quantitative analysis of glucose/H2O2 on LFPs was achieved by designing the classifier based on the multi-channel convolutional neural network (MC-CNN) technology. The qualitative accuracy rate is over 97% and the semi-quantitative accuracy rate reaches 90%. This work offers the promise to facilitate cross-disciplinary studies between artificial intelligence methods and fingerprint development technique.

Development of InDel markers and fingerprinting of bitter gourd (Momordica charantia) based on whole genome re-sequencing

Bitter gourd (Momordica charantia) is cultivated widely as a vegetable and herbal medicine in many Asian and African countries. Two varieties ('LS-5' and 'LS-22') were re-sequenced by next-generation sequencing technology, and a set of InDel markers was developed. The genome of 'Dali-11' was the reference genome. Exactly 59098 and 73683 InDel loci were identified in 'LS-5' and 'LS-22', respectively. To verify the reliability of this set of InDel markers, 220 pairs of InDel primers were designed and synthesised. Primers were preliminarily detected by 8% polyacrylamide gel electrophoresis. Thereafter, 15 pairs of polymorphic primers were selected and employed to construct the DNA fingerprint of 27 bitter gourd varieties. The purity of five hybrid seed lots, 'Zhongyu', 'Heiyu', 'Lvzhu', 'Shunliu 3' and 'Shunliu 8', was determined using the specific primers. In this study, a batch of InDel primers with high polymorphism potential was developed based on resequencing. These primers can effectively distinguish some bitter gourd varieties. Therefore, this set of reliable and accurate InDel markers can provide a richer marker source for bitter gourd variety identification and seed purity determination.

Using a large-scale cyanoacrylate fuming chamber for latent fingermark detection in vehicles

ABSTRACT Latent fingermarks contain precise information about the identities of individuals present at the crime scene. Cyanoacrylate (CA) fuming is a popular and effective technique for fingermark development on non-porous surfaces, but few approaches have been proposed for processing vehicles. We report the use of a large CA fuming chamber for latent fingermark development in vehicles related to serious crimes in Brasilia, Brazil. The chamber consists of a fuming compartment with a stainless-steel structure and is supplied with movable heating trays, air circulation fans, humidifying system, gas evacuation system, and an integrated control unit for process monitoring. Processing an entire regular vehicle requires 16 g of liquid CA and ~2 h. Identifiable fingermarks were recognized on the exterior and interior of the examined vehicles, including the door handles and the seat belt metallic tongue. Detected fingermarks were positively matched to individuals whose involvement in criminal activities was confirmed. The results support the efficiency of the CA fuming technique for fingermark development in the interior and exterior of vehicles and indicate certain parts of vehicles as being of potential interest. Considering the efficiency of the CA polymerization reaction for fingermark development in vehicles involved in crimes, large-scale chambers may offer important advantages.

Application of nanoparticles in fingerprint development

Application of nanoparticles in fingerprint development

Green emanating BiOCl:Tb3+ phosphors for strategic development of dermatoglyphics and anti-counterfeiting applications

• Green emitting BiOCl:xTb 3+ (x = 1–9 mol%) nanophosphors are prepared by propellant solution combustion route. • A new fluorescence based platform has been setup for in-situ visualization of latent fingerprints and lip prints by powder dusting method. • Well defined fluorescence fingerprint images on variety of surfaces by revealing type 1–3 ridge characteristics. • Developed latent fingerprints shows superior contrast, sensitivity, efficiency, selectivity and negligible background hindrance. • Fabricated unclonable invisible security ink and make it highly suitable for brush mode. In this work, we reported green emitting Tb 3+ ions (1–9 mol%) doped BiOCl nanophophors (NPs) synthesized by solution combustion route using Mimosa pudica ( M. p. ) plant extract as a bio-fuel. Powder X-ray diffraction (PXRD) patterns exhibit tetragonal structure of matlockite-type P4/nmm space group. Scanning electron microscopy (SEM) reveals that the prepared NPs were shown flake-like morphology. The energy bandgap of BiOCl:Tb 3+ (1–9 mol%) NPs were estimated and found to be in the range ∼3.50–3.53 eV. The photoluminescence (PL) spectra show characteristic emission peaks at ∼489, 545, 591 and 622 nm, which were corresponding to 5 D 4 → 7 F 6, 5 D 4 → 7 F 5 , 5 D 4 → 7 F 4 and 5 D 4 → 7 F 3 transitions of Tb 3+ ions, respectively. The maximum PL intensity was found to be for 5 mol% doped NPs and later diminishes. The diminished PL intensity was mainly ascribed to concentration quenching. The estimated CIE (Commission International de I’Eclairage) co-ordinates were close to the green emission standard values set by the National Television System Committee. The optimized NPs was used for development and visualization of latent fingerprints (LFPs) and lip prints. The developed fingerprints and lips prints revealed level I-III ridge details with high sensitivity, selectivity and without any background hindrance. The developed anti-counterfeiting labels were encrypted only under UV light illumination, but were completely invisible under normal light. These results clearly demonstrated that the optimized NPs can help to narrow the search gap in criminal investigations and forensic purposes.

A Molecular Design of Cyclic Nitronate Dye Based on the Halochromism of Fluoran Leuco Dyes as a New Latent Fingerprint Development Agent and Quantitative Structure-Property Relationships

새로운 잠재지문 현출제로서 fluoran leuco dye의 할로변색 반응에 근거하여 Me too approach 방법에 따라 cyclic nitronate (A 및 C) 분자를 설계하였다. 그리고 염료 분자들의 경계분자궤도(FMO) 에너지(ev.)를 밀도범함수론(DFT)으로 계산하고 2차원적인 정량적 구조와 성질과의 관계(2D-QSPRs)를 검토하였다. 그 결과로부터, 형광 양자수율(Φ)은 주로 전자끌게(Σσ>0; ρ > δ) 그리고 소수성(logP>0)은 입체적으로 큰 치환기(R1-R3) 효과(ΣEs<0; δ > ρ)에 의하여 증가하였다. 또한, 분자간 FMO 에너지 차이(ΔE) 의 비교로부터, C 분자에 대한 반응성은 친수성 아미노산(P)이 소수성 지방산(F)보다 큰 경향(P>F)이었다. 그러므로 C 분자는 잠재지문 현출반응의 조건에 따라 양자성 용매(logP<0)에서는 아미노산, 그리고 비양자성(logP>0) 또는 분말 조건(감열지)에서는 지방산을 대상으로 하는 두 가지 잠재지문 현출용도로 적합할 것이라 예상되었다

Estimating 3D Finger Angle via Fingerprint Image

Touchscreens are the primary input devices for smartphones and tablets. Although widely used, the output of touchscreen controllers is still limited to the two-dimensional position of the contacting finger. Finger angle (or orientation) estimation from touchscreen images has been studied for enriching touch input. However, only pitch and yaw are usually estimated and estimation error is large. One main reason is that touchscreens provide very limited information of finger. With the development of under-screen fingerprint sensing technology, fingerprint images, which contain more information of finger compared with touchscreen images, can be captured when a finger touches the screen. In this paper, we constructed a dataset with fingerprint images and the corresponding ground truth values of finger angle. We contribute with a network architecture and training strategy that harness the strong dependencies among finger angle, finger region, finger type, and fingerprint ridge orientation to produce a top-performing model for finger angle estimation. The experimental results demonstrate the superiority of our method over previous state-of-the-art methods. The mean absolute errors of the three angles are 6.6 degrees for yaw, 7.1 degrees for pitch, and 9.1 degrees for roll, markedly smaller than previously reported errors. Extensive experiments were conducted to examine important factors including image resolution, image size, and finger type. Evaluations on a set of under-screen fingerprints were also performed to explore feasibility in real-world applications. Code and a subset of the data are publicly available.

Latent fingermark detection using functionalised silicon oxide nanoparticles: Investigation into novel application procedures

Investigations into the application of carboxyl-functionalised silicon oxide nanoparticles doped with a ruthenium complex (RuBpy-doped CES-SiO2 NPs) for latent fingermark development on non-porous surfaces were reported in previous studies. These studies suggested that an optimised NP-based method demonstrated advantages in fingermark selectivity and sensitivity. To continue the series of research into using RuBpy-doped CES-SiO2 NPs for fingermark detection, the versatility and overall practicality of the optimised SiO2 NP-based reagent for latent fingermark detection and enhancement was evaluated. When the optimised NP-based method was used in a repeated fashion (application of multiple NP treatment cycles), it was found that the overall fingermark detection quality increased across the evaluated fingermarks without a high risk of overdevelopment. The possibility of incorporating the optimised NP-based reagent for potential operational use (e.g., at crime scenes) was successfully demonstrated via spray application on three test surfaces (aluminium foil, transparent polypropylene film and green polyethylene film). It was also shown that further enhancement of “spray-detected” fingermarks was achievable via subsequent treatment using the NP-based reagent in a colloidal dispersion bath. Additionally, the compatibility of the optimised NP-based method with two-step cyanoacrylate fuming for latent fingermark detection was evaluated. It was concluded that the two techniques are not compatible for application in a fingermark detection sequence. While encouraging results were demonstrated in this study, further optimisation and comparison will be required before the multiple-treatment and spray-treatment approaches can be considered for operational implementation.

Novel Organic-Inorganic Hybrid Polystyrene Nanoparticles with Trichromatic Luminescence for the Detection of Latent Fingerprints.

This article explored the application of novel organic-inorganic hybrid polystyrene nanoparticles (PSNPs) with trichromatic luminescence for the detection of latent fingerprints. The PSNPs were synthesized by encapsulated Eu(DBM)3phen, coumarin 6, and FDBT into the polystyrene nanoparticles through the swelling method and applied them to visualize latent fingerprints. The PSNPs had a spherical morphology with an average diameter of 310.7 nm, and they emitted trichromatic fluorescence (525 nm/570 nm/610 nm) under 365 nm excitation wavelength with green/yellow/red color under filters. They were less likely to aggregate, float or stain the background when treating fingerprints. The developed fingerprints with excellent clarity of ridges and contrast could be viewed, and the digital magnification of fluorescence-developed fingerprints provided more minutiae details about some regional patterns. The colorimetric and fluorescent trichromatic light could provide complementary signals without the background interference from fluorescent substrates and/or complex multicolor surfaces, which improved the applicability of fluorescent nanoparticles for fingerprints development. PSNPs are promising for the detection of latent fingerprints and practical criminal investigations with their ease of operation, eco-friendly properties, and excellent trichromatic optical performance.

Optimum conditions and application of one-step fluorescent cyanoacrylate fuming method for fingermark development based on PolyCyano UV

Cyanoacrylate fluorescent staining has become a common method for developing latent fingermarks on light-coloured or white objects. The method requires two steps and skilled operation, and the handling process has the risk of damaging the ridge details or even biological samples. To take full advantage of the high-sensitivity fluorescence, recent research efforts on fluorescent cyanoacrylate have aimed to avoid rinsing after staining, add fluorescence to the cyanoacrylate, increase the fluorescence intensity and broaden the fluorescence spectral range. PolyCyano UV is a novel product that can be used to overcome the disadvantages associated with progressing to one-step fuming to directly develop fingermarks. To explore the optimal development conditions and application effects of PolyCyano UV, thermogravimetric differential thermal analysis, fluorescence spectroscopy and control variable analysis are used to determine and analyse the best conditions for using the reagent, including temperature, fluorescence excitation band, relative humidity and fuming concentration. The temperature range of the one-step fuming development method is 212.14 °C–275.16 °C, the wavelength range of the excitation light source is 235–580 nm, the relative humidity is 60%–80%, the concentration of the fume is 1–3 g/m3 and the specific value is related to the surface properties of the object and the aged time of the fingermarks. Additionally, fluorescence spectroscopy shows that the excitation wavelength range of the light source is 235–580 nm. Based on the best fuming condition, many common objects were selected to proceed to the application experiments, which allowed for a comparison with the traditional visualisation method, namely the Cyanobloom reagent + dyeing two-step development method. The comparison showed that latent fingermarks on most non-porous smooth surfaces, especially on light-coloured or white objects, were developed successfully. In addition, a comparative study with the conventional cyanoacrylate glue–fluorescent staining experiments showed that the effect of dyeing afterwards with Rhodamine 6 G is better than the one-step method. The effect of dyeing with BBD is basically the same as that of the one-step method. Key points: One-step fluorescent cyanoacrylate fuming can be a promising alternative for fingermarks developing based on PolyCyano UV in forensic science. The optimum application conditions of PolyCyano UV will provide guidance for fingermark examiners. The one-step fuming method based on PolyCyano UV has many advantages over the secondary dyeing method.

Assessing the chemical anthropocene – Development of the legacy pollution fingerprint in the North Sea during the last century

The North Sea and its coastal zones are heavily impacted by anthropogenic activities, which has resulted in significant chemical pollution ever since the beginning of the industrialization in Europe during the 19th century. In order to assess the chemical Anthropocene, natural archives, such as sediment cores, can serve as a valuable data source to reconstruct historical emission trends and to verify the effectiveness of changing environmental legislation. In this study, we investigated 90 contaminants covering inorganic and organic pollutant groups analyzed in a set of sediment cores taken in the North Seas' main sedimentation area (Skagerrak). We thereby develop a chemical pollution fingerprint that records the constant input of pollutants over time and illustrates their continued great relevance for the present. Additionally, samples were radiometrically dated and PAH and PCB levels in porewater were determined using equilibrium passive sampling. Furthermore, we elucidated the origin of lead (Pb) contamination utilizing non-traditional stable isotopic analysis. Our results reveal three main findings: 1. for all organic contaminant groups covered (PAHs, OCPs, PCBs, PBDEs and PFASs) as well as the elements lead (Pb) and titanium (Ti), determined concentrations decreased towards more recent deposited sediment. These decreasing trends could be linked to the time of introductions of restrictions and bans and therefor our results confirm, amongst possible other factors, the effectiveness of environmental legislation by revealing a successive change in contamination levels over the decades. 2. concentration trends for ΣPAH and ΣPCB measured in porewater correspond well with the ones found in sediment which suggests that this method can be a useful expansion to traditional bulk sediment analysis to determine the biologically available pollutant fraction. 3. Arsenic (As) concentrations were higher in younger sediment layers, potentially caused by emissions of corroded warfare material disposed in the study area after WW II.

Surface engineered La2Zr2O7:Eu3+ nanophosphors: Luminescent based platform for latent fingerprints visualization and anti-counterfeiting applications

The advancements in the forensic technologies is still a constructive and requires continuous development and evaluation strategies are to be implement. In this regard, the present work deals with fabrication of novel surface modified red-emitting Eu3+ ions doped La2Zr2O7 nanophosphors and used for latent fingerprint visualization and data security applications. The powdered x-ray diffraction studies of the prepared samples confirm the disordered cubic phase. The photoluminescence emission spectra consist of intense emission peaks located at ∼ 576, 593, 613, 656 and 711 nm, ascribed to the 5D0 → 7FJ (J = 0 - 4) transitions of Eu3+ ions, respectively. The surface modified nanophosphors by oleic acid showed 2-fold enhancement in the emission intensity as compared to bare nanophosphors, which is due to effective intramolecular energy transfers from coordinated ligands to the activated Eu3+ ions, called the antenna effect. The photometric properties of the surface grafted nanophosphors exhibit pure red color with high purity. The visualized latent fingerprints using surface modified nanophosphor could reveal level 1 − 3 ridge characteristics, which is most reliable evidence for personal identification. High resolution images of developed latent fingerprints further validated the effective chemical binding between the hydrophobic nanophosphor and chemical constituents present in the fingerprints, which enables most authenticated sweat pores. The oleic acid grafted nanophosphors can be formulated into writable inks so that secret writings can be accomplished using a simple brush technique and decoded under ultraviolet light illumination. The followed surface modification strategy drastically improves the properties of the nanophosphor, which is real time choice for latent fingerprint development and anti-counterfeiting technologies.

Screening toward the Development of Fingerprints of Atomic Environments Using Bond-Orientational Order Parameters.

A combination of atomic numbers and bond-orientational order parameters is considered a candidate for a simple representation that involves information on both the atomic species and their positional relation. The 504 candidates are applied as the fingerprint of the molecules stored in QM9, a data set of computed geometric, energetic, electronic, and thermodynamic properties for 133 885 stable small organic molecules made up of carbon, hydrogen, oxygen, nitrogen, and fluorine atoms. To screen the fingerprints, a regression analysis of the atomic charges given by Open Babel was performed by supervised machine learning. The regression results indicate that the 60 fingerprints successfully estimate Open Babel charges. The results of the dipole moments, an example of a property expressed by charge and position, also had a high accuracy in comparison with the values computed from Open Babel charges. Therefore, the screened 60 fingerprints have the potential to precisely describe the chemical and structural information on the atomic environment of molecules.

Development of high-resolution multidimensional native protein microfluidic chip electrophoresis fingerprinting and its application in the quick analysis of unknown microorganisms

The unascertained, constant mutation and emergence of new types of microorganisms present significant challenges to their detection. Differing from the focus on the limited local 16S rRNA gene or protein markers, characteristic whole fingerprint technologies at the omic level are particularly suitable for unknown analytes since accurate knowledge about the constituents is not necessarily required. Herein, through a combination of several innovative strategies, including pure water isotachophoresis integrated (2 + 1)D electrophoresis, inversion-funnel peak stacking channel geometry and COMSOL computer-aided fluid simulation, high-resolution whole protein 2D native microfluidic chip electrophoresis was achieved within less than 1 min. The highest ever reported peak capacity for native 2D chip electrophoresis was obtained. Furthermore, taking Escherichia coli, Staphylococcus aureus, and Bacillus subtilis as model analytes without protein biomarker information, the feasibility of the identification and semiqualification of unknown microbes in pure or mixed samples was explored with the utilisation of original algorithms, including SIFT feature abstraction and a global information entropy combined support vector machine. As such, the multidisciplinary cooperation in the present study demonstrates monstrated promising prospects for microfluidic chip electropherogram fingerprint-based quick microorganism assays, biointeraction studies, and drug screenings, even if the analytes are not fully ascertained.

On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection

In the development of radiofrequency fingerprinting (RFF), one of the major challenges is to extract subtle and robust features from transmitted signals of wireless devices to be used in accurate identification of possible threats to the wireless network. To overcome this challenge, the use of the transient region of the transmitted signals could be one of the best options. For an efficient transient-based RFF, it is also necessary to accurately and precisely estimate the transient region of the signal. Here, the most important difficulty can be attributed to the detection of the transient starting point. Thus, several methods have been developed to detect transient start in the literature. Among them, the energy criterion method based on the instantaneous amplitude characteristics (EC-a) was shown to be superior in a recent study. The study reported the performance of the EC-a method for a set of Wi-Fi signals captured from a particular Wi-Fi device brand. However, since the transient pattern varies according to the type of wireless device, the device diversity needs to be increased to achieve more reliable results. Therefore, this study is aimed at assessing the efficiency of the EC-a method across a large set of Wi-Fi signals captured from various Wi-Fi devices for the first time. To this end, Wi-Fi signals are first captured from smartphones of five brands, for a wide range of signal-to-noise ratio (SNR) values defined as low (−3 to 5 dB), medium (5 to 15 dB), and high (15 to 30 dB). Then, the performance of the EC-a method and well-known methods was comparatively assessed, and the efficiency of the EC-a method was verified in terms of detection accuracy.

Preparation of Novel Magnetic Nanomaterials Based on "Facile Coprecipitation" for Developing Latent Fingerprints (LFP) in Crime Scenes.

Recently, the application of novel nanomaterials, especially magnetic nanomaterials in the development of latent fingerprints (LFP), has become the hot focus for forensic scientists and criminal investigators. As a type of recyclable, environment-friendly material, Fe3O4 nanoparticles achieve a wonderful effect in visualization of LFP. We first report the synthesis and encapsulation of nano-Fe3O4 through “facile coprecipitation”, (3-mercaptopropyl)triethoxysilane was covalently embedded into Fe3O4 nanoparticles, and the Fe3O4 core was encapsulated by the nanosilver to prepare novel magnetic nanomaterials (P-MNP@Ag) with the core–shell configuration. For comparison, the magnetic nanomaterials (S-MNP@Ag) were prepared by surface modification. Their composition, structure, and properties were characterized by SEM, TEM, XRD, IR, XPS, and VSM. Compared with commercially available gold powder, silver powder, bare magnetic powder, and prepared S-MNP@Ag, the development effect of LFP on different objects by using P-MNP@Ag had better performance, which presented the advantages of low background interference, high sensitivity, and clear secondary details in LFP. In the crime scenes of some influential cases, P-MNP@Ag had been applied to the visualization of LFP. The biometric identification of criminal suspects was confirmed through fingerprint comparison, which was highly affirmed by the public security department.

Effects of Environmental Factors on Fingerprint Development

Fingerprints are unique to individuals and play an important role in the investigations at the crime scene. Today searches for developing the best methods to detect the fingerprints that are not completely visible or not have sufficient characteristics are still ongoing. In this study, 2448 fingerprints were used as samples collected from four individuals, between 24-50 years old, two women and two men, who signed the consent form as material. Porous and nonporous materials were used to develop fingerprints in the laboratory. Glass, metal, and plastic materials were used as nonporous materials. Cyanoacrylate vapor and staining methods were used for non-porous materials. Iodine vapor, ninhydrin, and silver nitrate were used for porous materials such as paper and raw wood. Image sharpening was performed by taking high-quality photographs for each sample. Thus, fingerprints were identified. Fingerprints that can and cannot be classified were successfully compared and their data were calculated. The experimental results showed that surface types are extremely important in the elucidation of the event in detecting hidden fingerprints of the perpetrator.

Zinc oxide (ZnO) nanoparticles: Synthesis properties and their forensic applications in latent fingerprints development

A person's identity is determined by their fingerprints since they are distinct and one of a kind. Numerous techniques have been developed by experts to find latent fingerprints at crime scenes. With the acquiescence of nanotechnology in different fields of forensic science, the fingerprint development method has also advanced with the use of nanoparticles. In this study, one such nanoparticle has been developed and used as an application for fingerprint development. Zinc oxide (ZnO) is a chemical substance that is made up of inorganic elements. A chemical technique was used to make stable zinc oxide nanoparticles. Zinc oxide nanoparticles were created at 60 °C using a modified method that included zinc chloride and sodium hydroxide. We concentrated on the synthesis of ZnO nanoparticles, which entails the production and application of materials with a size of less than 100 nm in one or more dimensions and a cone-shaped morphology. The synthesis of pure phase ZnO nanoparticles was confirmed by SEM and XRD. The developed ZnO nanoparticles were then used in latent fingerprint detection as an application of this study. Developed fingerprints gave excellent results on all kinds of surfaces be they porous, semi-porous, or non-porous. These powders can serve as a replacement for the traditional powders currently in use by forensic scientists.