Qianhui
Wei
a,
Meiqin
Zhang
*a,
Božidar
Ogorevc
b and
Xueji
Zhang
*a
aResearch Center for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China. E-mail: zhangmeiqin@ustb.edu.cn; zhangxueji@ustb.edu.cn; Tel: (+)86-10-82375840
bDepartment of Analytical Chemistry, National Institute of Chemistry, Hajdrihova 19, 1000 Ljubljana, Slovenia
First published on 12th September 2016
This review highlights the considerable advances in the chemical imaging of human fingermarks that provide more chemical information, including numerous endogenous and exogenous constituents. Despite remarkable development in DNA analysis and recognition, human fingermark analysis remains one of the priority approaches available for obtaining reliable forensic evidence. Additional information about the donor can be obtained from the chemical composition of latent fingermarks in addition to the ridge pattern, such as the age, gender, medical history, and possible drug habits. The analytical approaches reviewed here include spectroscopy, mass spectrometry, immuno-labelling and electrochemical methods. Each method has different capabilities with respect to sensitivity, reproducibility, selectivity, reliability and ultimately applicability, either for use in routine forensic practice or in academic research work. The advantages of spectroscopic techniques, including infrared, Raman and micro-X-ray fluorescence spectroscopy, are the capabilities of a rapid and non-destructive imaging of fingermarks by providing spectral information on chemical composition. In addition, mass spectrometry imaging can provide spatially specific information on fingermark chemical composition. Recently, the use of immuno-labelling in latent fingermark detection has attracted significant attention because it can overcome the sensitivity and selectivity problems experienced with other existing methods. The electrochemical method has also been employed to image latent fingermarks by measuring the electric current changes with the spatial chemical composition from the ridges and valleys at high resolution to provide a third level of detail, which is especially useful for multicoloured background surfaces or for surfaces contaminated with blood or other bodily fluids.
In order to improve the current techniques and to develop novel ones for detecting and identifying a LFM, it is highly required to understand that the mechanism of some visualization techniques react with specific chemical components in the natural secretions from the skin as well as with contaminants from the environment. There are three types of secretion glands in a human body, each of them produce a different kind of sweat, i.e. the eccrine, sebaceous and apocrine glands. Eccrine sweat glands are located all over the skin of the body but are also located in particular higher density at the palmar and plantar surfaces.4 The sweat secreted from eccrine glands consists of 98–99% water, various inorganic salts, such as chloride, bromide, iodide and phosphate, and of different organic compounds, such as amino and fatty acids, urea etc.5 Sebaceous glands are also found all over the skin except on the friction ridges of the palmar and plantar surfaces. They excrete sebum fluid, which is mainly composed of saturated fats, waxes and squalene.6 The apocrine glands are always located in the axillae and anogenital areas of the human body and they primarily excrete a viscous milky fluid.6 In fact, the chemical composition of fingermark residues varies qualitatively and quantitatively from one to another individual and depends on several aspects, such as sex, age, diet, physical condition, etc. These are referred to as endogenous composition factors, while numerous contaminants, such as cosmetics, food residues and drugs and their metabolites are considered as exogenous composition factors.
Herein, we mainly review the recent advances in the chemical imaging of LFMs by three types of techniques, including infrared absorption (mid-infrared and near-infrared radiation), Raman spectroscopy and micro-X-ray fluorescence (MXRF).
Williams et al. utilized IR spectromicroscopy, which is usually referred to as microscopic IR spectroscopy in the forensic community, for the analysis of latent fingermark deposits.10 In addition, Fourier transform infrared (FTIR) microspectroscopy is a non-invasive technology and is used to characterize the chemical composition in fingermark ridge residues over time, which is significant for investigating the difference between LFMs from children and adults. Grant et al. demonstrated that IR spectromicroscopy could locate and identify microscopic particles from a mixture of common substances in the LFMs by analyzing their unique infrared spectral signatures.11 The researchers believed that IR spectromicroscopy could be a powerful investigative tool not only to identify who was present at a crime scene, but also to relate a specific person to specific acts according to the foreign materials left in their fingermarks.
Among the available spectroscopic techniques, FTIR spectroscopy has been proven to be a powerful tool for forensic applications.12 Typically, FTIR chemical imaging uses a focal plane array detector to obtain images that consist of thousands of pixels, with an infrared spectrum at each pixel. Tahtouh et al. showed that FTIR spectroscopy could image larger fingermark samples up to several centimetres in size by combining it with an expanded field of view optics. They also reported that FTIR chemical imaging was more suitable for collecting the latent fingermark images from various difficult surfaces (including polymer banknotes, many types of paper and masking tapes) than conventional fingermark detection methods. The reason for this is that the contrast in FTIR chemical imaging is based on spectrochemical signal differences rather than the response of the surface to lighting conditions.13 Ricci et al. proved that attenuated total reflection (ATR) FTIR chemical imaging could obtain simultaneously physical visualization and chemical information of the fingermarks and could also be used to monitor the change in fingermark chemistry with temperature and time.14 Crane et al. developed a data-processing method of FTIR imaging for the non-invasive detection of both un-pretreated LFMs and trace evidence on challenging porous and non-porous substrates.15 They preserved the trace evidence contained in the fingermarks, which enabled the following analyst to make a direct connection between the fingermark and the trace evidence without changing the state of the evidence.
At some crime scenes, LFMs on textured, multicoloured or patterned substrates can be very difficult to be developed in situ, so it requires using an adhesive tape to lift them for further examination to be carried out in a lab or in a fingerprint bureau. Ricci et al. first obtained the IR chemical imaging of LFMs lifted with gelatin tapes from different kinds of surfaces (for example, door handles, mug handles, curved glass surfaces and computer screens).16 They minimized the interference from the gel lifters by utilizing ATR-FTIR imaging from different depths of the same sample with a variable angle ATR accessory.
Because conventional globar-sourced IR spectrometers cannot offer adequate sensitivity and spatial resolution required in fingermark analysis, synchrotron radiation-based FTIR (SR-FTIR) micro-imaging has been developed for exploring the molecular chemistry within the microstructures of microscopic particles owing to its high spatial resolution and brightness of the synchrotron source.17,18 Banas et al. demonstrated the potential of SR-FTIR micro-imaging to accurately identify solid microscopic particles with a diameter even down to 4 μm deposited within LFMs on various substrates commonly encountered in everyday life.17 They also imaged contaminated fingermarks left on hard-to-reach places using commercial foil as the lifting medium.
It is well known that the chemical compositions of fingermarks highly depend on age and differ obviously between children and adults. For example, it was found by using gas chromatography-mass spectrometry (GC-MS). That the fingermark compositions from children contained higher concentrations of volatile unesterified free fatty acids while adults had higher concentrations of less volatile fatty acids esterified with long-chain alcohols.19 Such findings that fingermark chemical compositions change with age led scientists to examine whether changes in composition could possibly be a function of age or not. In 2008, Hemmila et al. successfully demonstrated FTIR reflectance spectra in combination with a partial least-square regression and proved a linear relationship between a combination of constituents and age, with a significant shift around puberty.20 This means this technique could be effectively employed to provide the age of a person leaving a LFM at a crime scene even if no other information is known, for example, even if database searches do not show a match. However, this methodology is only suitable for cases where the LFM was first located by a light source without damage. Later, Williams et al. examined children's LFMs as a function of time and temperature by means of FTIR microspectroscopy.21 The results revealed that the salts in their fingermark residues were more stable than the esters due to the thermal stability. Hence, the salts could easily be found and measured over time at crime scenes.
Furthermore, it was reported that by using IR spectroscopic imaging, it was also possible to separate superimposed latent fingermarks and detect inter-ridge trace evidence non-invasively.22Fig. 1 displays two overlaid fingermark images developed by using cyanoacrylate fuming. Due to the difference in chemical composition of the two fingermarks, the spectral variations in the absorbance of the CH stretching and other vibrational modes can be easily observed. In particular, the fingermark on the left-hand side contains an excess of one oily substance (ester), while the fingermark on the right does not demonstrate any unique peaks and shows only a variation in peak intensities. Therefore, this shows that the spectra could be used to distinguish and identify overlaid fingermarks due to the different ratios of their chemical components by setting specific modes.
Fig. 1 (a) Cyanoacrylate-developed latent fingermarks that are superimposed. (b) Infrared absorbance distribution using the CH stretching mode at nearly 2940 cm−1. (c) The carbonyl band shown at nearly 1730 cm−1. (d) The ratio of the carbonyl band at nearly 1730 cm−1 and the amide band at nearly 1640 cm−1. (e) Examples of spectra using different vibrational modes from the oil-rich region (top, dark line) and flake rich region.22 Reproduced from ref. 22 with permission from Springer. |
The sensitivity of conventional Raman spectroscopy is still not high enough for its routine application due to the small Raman scattering cross-section. With the objective of improving its performance, the surface-enhanced Raman scattering (SERS) technique was developed for detecting and identifying a wide range of substances and showed an enhancement of over 100-fold over the conventional technique.29 SERS imaging can provide chemical information for clean, aged or fresh, latent fingermarks, especially on difficult surfaces or on LFMs exposed to conditions that would make a latent fingermark undetectable via the traditional visualization techniques.30 The distinction of SERS imaging from FTIR imaging and other conventional methods is that the amino acids in eccrine fingermarks can be used rather than basing the analysis on the response of the oils’ common hydrocarbon signals to provide the image. In 2012, Song et al. demonstrated for the first time that proteins can be readily detected within latent fingermarks by using the SERS imaging.31 An antibody-bound Raman probe modified with silver nanoparticles (ASNRPC) enabled binding to specific proteins present in fingermarks to afford high-definition SERS images of the fingermark pattern. This study proved that SERS imaging was capable of sensitively determining different proteins within a fingermark. Fig. 2 shows SEM images of the fingermark with human IgG incubated by the ASNRPC. The SEM and XPS measurements show that Ag nanoparticles have successfully linked to the fingermark ridges, which is due to there being more human IgG deposited on the ridges of the fingermarks than in the valleys.
Fig. 2 SEM images of a fingermark with human IgG incubated by the ASNRPC: (a) with a lower and (b) higher magnification on the ridges and (c) beside the ridges; (d) XPS spectra of the fingermark with human IgG before and after incubation with the ASNRPC; SEM images of the fingermark with human IgG before incubation with the ASNRPC: (e) with a lower and (f) higher magnification.31 Reproduced from ref. 31 with permission from the Royal Society of Chemistry. |
In addition, a compact Raman spectrometer assembled by a green laser pointer, an air cooled intensified charged coupled device and an x–y motorized translation stage was well developed and applied for the detection of liquids and the solid particles of explosives and for the chemical imaging of residues contained in latent fingermarks in a short acquisition time (in a few seconds).32 This system was proven to be sensitive enough to identify masses as low as ∼1 ng, which make it a potential candidate for taking the place of the existing Raman microscopes.
Raman and IR-based spectroscopy can provide information on the functional groups of the molecules analyzed; however, identification of the species may prove difficult without consulting a database or if the compound is not present in the database. Therefore, further testing with more recent innovations in spectral similarity measures is required.
Fig. 3 (a) DESI-MS image of the distribution of cocaine on an LFM blotted on glass. (b) Computer-generated fingermark from the DESI image. (c) Ink fingermark blotted on paper and optically scanned. (d) Computer-generated fingermark from the optical image. Some of the automatically detected points of interest (minutiae) are represented by dots in (b) and (d).36 Reproduced from ref. 36 with permission from the American Association for the Advancement of Science. |
Fig. 4 SALDI-MS plot of a smoker's fingermark showing a nicotine peak at m/z 163. The print was dusted using hydrophobic silica powder and lifted with a conductive adhesive tape.40 Reproduced from ref. 40 with permission from Wiley. |
Exogenous pharmaceutical drugs, such as terbinafine – an anti-fungal medicine – in latent fingermarks could also be detected and imaged by SALDI-ToF-MS after first being developed using carbon black doped silica particles.41 Medicine signatures in latent fingermarks provide clues to the lifestyle and other useful information of a donor individual. In cases when pre-dusted lifted fingermarks cannot be analyzed for certain drugs via the SALDI-MS method, the re-dusting or spraying of the prints with carbon black doped silica particles can be successfully applied.42 The development of latent fingermarks using cyanoacrylate fuming is a widely used forensic tool when the effects of a thick and rigid layer adhering to the substrate makes it difficult to visualize the developed prints. SALDI-ToF-MS can both enhance these developed latent fingermarks and detect drug residues by means of exposing them to acetone vapour after dusting with a commercial black powder.43 The use of this enhancement agent provides a unique superiority over other techniques, which enables the fingermarks to be located and lifted prior to the analysis.
Fig. 5 MALDI-MS separation of overlapping fingermarks achieved through the presence of an exogenous contaminant. (a) The optical image of the dusted overlapping fingermarks deposited by two different donors. Mass spectrum image of a “condom-contaminated fingermark” (donor 1) and a groomed fingermark (donor 2). (b) The spermicidal lubricant ion signals at m/z 595.4, 639.5 and 683.5 shown as images (they are distinctive of the fingermark whose donor has contaminated his/her fingertips with the condom). (c) The spectral profile of the groomed (non-contaminated) fingermark is apparently different and the ion signal at m/z 284.2 was selected to achieve separation from the condom-contaminated fingermark.48 Reproduced from ref. 48 with permission from Elsevier. |
Fig. 6 The 5 × 5 mm SIMS images of fingermark friction ridges showing that the minutiae required for forensic fingermark analysis are observable.52 Reproduced from ref. 52 with permission from Wiley. |
ToF-SIMS has also been developed to identify the order of depositions. For example, in the case of a fingermark overlapping with an ink line on the paper, it is possible to determine whether the fingermark had been laid down before or after the ink was deposited.53 The basic principle of this approach is to take line scans of the fragment ions characteristic for the ink molecules (m/z 358.2 and 372.2), where the fingermark and ink overlap, and to calculate the normalized standard deviation of the intensity variations across the line scan. In addition, the mapping of selected endogenous elements and molecular species within fingermarks, such as sodium, potassium and C3H5 positive ions, can reveal the friction ridge patterns in fingermarks.54 Imaging ToF-SIMS could be used as a final step to enhance the visualization of LFMs in cases where samples have not been fully recovered using conventional reagents, such as by cyanoacrylate fuming.55
However, a drawback of ToF-SIMS is the necessity to introduce samples into a vacuum chamber, which is known to cause changes to fingermark chemistry (e.g. reduction of several fatty acids and changes of the concentration of lipids and squalene) and to increase the time (and cost) per analysis.55
Fig. 7 (A) LAET-MS imaging of two overlapped latent fingermarks at m/z 311. (B) Resolved imaging at m/z 164.0427 for an unknown molecule. (C) Resolved imaging at m/z 265.1240 for dienestrol hormone.61 Reproduced from ref. 61 with permission from American Chemical Society Publications. |
Recently, Walton et al. utilized soft-landing ion mobility (SLIM) to deposit silver clusters as a MALDI matrix instead of traditional α-CHCA for the detection and imaging of low mass illicit chemical compounds without causing damage to the ridge patterns.62 This novel method improved the signal-to-noise ratio compared with conventional CHCA for melatonin and tryptamine and showed great promise for fingermark-imaging applications. Laser desorption imaging (LDI)-MS is able to detect and image numerous endogenous and exogenous compounds by an approach involving nanometre-sputtered silver on fingermarks on conductive and non-conductive substrates.63 The silver layer renders the analysis surface conductive, which allows the detection of latent fingermarks on non-conductive surfaces such as paper. This approach allows the detection of [M + Ag]+ ionized endogenous and also [M + Na]+ exogenous substances, providing high-resolution imaging MS and a higher sensitivity for several endogenous substances, such as fatty acids. The result shows the possibility to identify pathogens or other biological agents carried by suspects directly from their fingermarks.
GC-MS was one of the most commonly used approaches in most of the early works for studying the endogenous substances and chemical changes within latent fingermark deposits (such as amino and fatty acids) that happen over time.64,65 It was found that the amount of materials deposited in latent fingermarks was significantly different between individuals and also changes with time for the same individual.64 The detection of the relative amounts of intrinsic residue components can benefit the development of a reliable method for predicting the age of fingermarks. For example, squalene and cholesterol compositions were investigated as possible indicators for the age of fingermarks.14,66 The variations of some other components may be used to uniquely identify an individual. Via GC-MS analysis, different ratios of several fatty acid methyl esters were found for individuals from different races and genders.67 Michalski et al. proposed that these data could also be due to the small sample size and that a larger sample set was needed to determine the true legitimacy of the observed trends.67 GC-MS typically requires dissolution of the analyte, which consumes a large portion of the sample and precludes subsequent imaging, microscopic examination and preservation of the structure of the fingermark.68
DART-MS is a powerful tool that can be applied for the identification of non-DNA trace evidence associated with sexual assault since it is extremely fast and samples are processed immediately, without the need for sample preparation or other procedures that might compromise the future analysis. DART has been applied to the analysis of Ranitidine, which is used to treat a sour stomach, in less than 30 s in urine.69 DART is a prominent ambient ionization method that employs a gas-phase ionization mechanism, and by its very nature consumes a minimal amount of sample. In 2012, Musah et al. demonstrated the ability of DART-MS to identify lubricant compounds used in condom manufacturing (such as the spermicide nonoxynol-9) and numerous other trace components associated with sexual assault.70 They also applied this technique to identify fatty acids in latent fingermarks. This methodology offered a comprehensive, rapid and sensitive fingermark analysis for forensic use.
CE-MS, a hyphenated MS system, is also available for detecting chemical compositions in fingermarks.71 Amino acids are suitable for CE separation due to their zwitterionic nature.72 There are many ways of measuring amino acids and other components by CE-MS or CE in various biological matrices, including in tissue and sweat.73,74 Although the amounts of total amino acids within fingermark samples are very low, ranging from about 21 to 345 ng per fingermark, the residues can be successfully analyzed by CE-MS.71
The detection of a drug present in a fingermark may indicate that an individual has come into contact with that drug, but this is not enough to prove the use of that drug because it cannot be excluded that the drug was deposited on the latent fingermark at a certain time after it had been generated. An effective solution to solve this problem was proposed by Russell et al. that involved using gold nanoparticles functionalized with antibodies.75 In this research, it was demonstrated that the gold nanoparticles functionalized with an antibody specific to cotinine, the main metabolite of nicotine, and could be used to detect cotinine present in the fingermarks of smokers and to simultaneously obtain an image of the fingermark. The anti-cotinine antibody was bound to the nanoparticles functionalized with protein A, which was present in the fingermark, and then a secondary antibody fragment, tagged with a fluorescent dye, was used to fluorescently label the fingermark. The high-resolution image was obtained using a fluorescence stereomicroscope after the fingermark was deposited by an individual who smoked cigarettes. A simple preparation of antibody-functionalized gold nanoparticles is illustrated in Fig. 8.75 In 2008, Russell et al. showed that, through the use of the antibody–magnetic–particle conjugates, various drugs and drug metabolites (such as Δ9-tetrahydrocannabinol, methadone and its metabolites) could be readily detected in latent fingermarks imaged by using either brightfield and/or fluorescence microscopy.76 This ability to examine a change in colour of a fingermark by using brightfield microscopy offers an option for the detection of latent fingermarks to use a simple white light source instead of expensive instrumentation, thereby providing a simple, portable method for in situ crime investigations. Later, Russell et al. further reported the use of magnetic particles functionalized with anti-cotinine antibodies to image cotinine present in latent fingermarks deposited by smokers and demonstrated that it was possible to establish the identity of an individual within only 15 minutes.77 Then, they illustrated that metabolites from two different types of drugs, for example, morphine and benzoylecgonine, can be detected simultaneously in a single fingermark using white light and/or a fluorescence light source.78 In a further development, antibody–magnetic particle conjugates for the detection of cotinine were successfully applied for the development of latent fingermarks on a highly reflective white porcelain surface, which is difficult to be enhanced by conventional techniques.79 They also reported that these antibody–particle conjugates could be an excellent technique for developing aged fingermarks as well.80Fig. 9 displays fingermarks aged for up to and including 4 weeks at room temperature in the presence of light after being developed using the anti-cotinine magnetic conjugates. The research carried out by Russell's group showed great promise for the development of latent fingermarks as well as for gaining extra information on drug use. However, the targeting drug metabolites limit the use of this method as a general approach since these compounds are not universal components present in latent fingermark deposits.
Fig. 8 Representation of the antibody–nanoparticle conjugates. The conjugates are formulated via depositing the protein A, which acts as a biological linker to orientate the anti-cotinine antibody on the gold particle surface. SPDP = N-succinimidyl 3-(2-pyridyldithio) propionate is served as a bifunctional linker.75 Reproduced from ref. 75 with permission from Wiley. |
Fig. 9 Detection of fingermarks after ageing at room temperature in the presence and absence of light. Brightfield (a) and fluorescence (b) images of fingermarks after ageing for 3 days in the presence of light. Brightfield (c) and fluorescence (d) images after ageing for 4 weeks in the presence of light. Brightfield (e) and fluorescence (f) images of fingermarks after ageing for 3 weeks in the absence of light. Brightfield (g) and fluorescence (h) images after ageing for 4 weeks in the absence of light.80 Reproduced from ref. 80 with permission from the Royal Society of Chemistry. |
Some other investigations in this field have greatly improved the immuno-labelling visualization of fingermarks. Spindler et al. targeted free amino acids, such as enantioselective anti-L-amino acid, to detect latent fingermarks on non-porous surfaces.81 In this work, anti-L-amino acid antibodies were conjugated to gold nanoparticles (16 nm in diameter) by either direct electrostatic adsorption or by a covalent amide-bonding to a thioether. This antibody-based system is particularly effective for enhancing aged and degraded fingermarks. van Dam et al. described for the first time that the multiple immune-labelling of antibodies allowed the simultaneous detection of components in a single fingermark.82 They applied the simultaneous multiple immuno-labelling of antibodies such as anti-dermcidin and the antibody of human serum albumin, that can identify specific components in the secretions present in fingermarks on both porous and non-porous substrates. This group was also successful in finding the compatibility of immuno-labelling with two different fingermark visualization techniques: magnetic powdering and ninhydrin staining, which was then investigated with fingermarks deposited on glass and on nitrocellulose membranes.83 They concluded that both the fingermark visualization techniques examined, i.e. magnetic powdering and ninhydrin staining, did not influence the immuno-labelling of fingermarks. Very recently, van Dam et al. reported an investigation on the applicability of immuno-labelling for developing fingermarks left on a variety of substrates, such as non-porous (aluminium foil, stainless steel keys, plastic sheets, different coloured garbage bags, sandwich bags, Ziploc bags), semi-porous (tiles, laminated chipboard) and porous (thermal and copy paper) surfaces.84 Except for the laminated chipboard and copy paper, the immuno-labelling of specific components in fingermarks was performed well on most of the forensic relevant surfaces.
Multi-metal-deposition (MMD), which was introduced to the forensic field by Saunders, is a very sensitive method for visualizing latent fingermarks on both porous and non-porous surfaces.85 Recently, Su et al. reported a novel technique that integrates the advantages of the conventional MMD method with the immunoassay technique (iMMD).86 Compared to the conventional MMD method, iMMD is faster (less than an hour), facile, not expensive to operate and can provide additional chemical information than just identification.
Drapel et al. proposed a method of using an antibody to detect and visualize latent fingermarks by targeting certain skin proteins.87 In order to identify these proteins, three antibodies directed against human proteins were tested using western blots of the fingermark residues: anti-keratin 1 and 10 (K1/10), anti-cathepsin-D (Cat.D) and anti-dermcidin (Derm.). These antigens are three of the most abundant proteins involved in the desquamation process during skin regeneration. As a result, fingermarks were detected on all the substrate types including the three antibodies. It was noted that the antigens from the desquamation process (keratins 1 and 10; cathepsin-D), the polyvinylidene fluoride (PVDF) membranes, as depicted in Fig. 10, and the standard whitened and non-whitened papers all produced prints with very precise ridge edges, while the antigens from sweat (cathepsin-D; dermcidin) produced marks with strong dotted patterns, which could be attributed to the pores of the skin.
Fig. 10 Mixed fingermarks apposed on a PVDF membrane and immuno-detected with (a) anti-keratin 1/10, (b) anti-cathepsin-D and (c) anti-dermcidin.87 Reproduced from ref. 87 with permission from Elsevier. |
Wood et al. first developed this technique for the detection and visualization of latent fingermarks by using lysozyme-specific aptamer-based reagents on a PVDF membrane.91 This aptamer-based reagent is highly selective and sensitive compared to conventional methods. In the presence of lysozyme, the aptamers fold into their specific three-dimensional structures, thus allowing them to bind to the lysozyme present in the latent fingermarks. Fig. 11 presents the enhancement of a fingermark, which can provide first and second level detail by using an aptamer-based reagent.
Fig. 11 A charged latent fingermark on a PVDF substrate developed by using the aptamer-based reagent. The fingermark was aged for 24 hours before it was developed with the lysozyme aptamer 1 reagent containing CAL Fluor® Orange 560 as the fluorescent tag.91 Reproduced from ref. 91 with permission from Wiley. |
Li et al. demonstrated a nanoplasmonic method to visualize latent fingermarks by using the localized surface plasmon resonance (LSPR) property of aptamer-bound gold nanoparticles.92Fig. 12 indicates the detection principle. They found that the presence of cocaine in latent fingermarks could induce the aggregation of gold nanoparticles, which resulted in true colour changes of the scattered light in dark-field microscopy (DFM) images, thus providing colourful images of LFMs. As the LSPR images of gold nanoparticles are much more intense than the fluorescent, luminescent and electrochemiluminescent signals, they enable higher spatial resolution in the imaging of latent fingermarks. The researchers then expanded the idea of nanoplasmonic imaging to identify 1,3,5-trinitro-1,3,5-triazinane (RDX) explosive residues in LFMs by exploring the competitive reduction of Cu2+ and RDX by a reduced form of nicotinamide-adenine dinucleotide (NADH).93
Fig. 12 Principle of the nanoplasmonic imaging of latent fingermarks and the identification of cocaine in latent fingermarks by DFM.92 Reproduced from ref. 92 with permission from Wiley. |
In addition, some other nanoparticles can also be functionalized with aptamers, such as upconversion nanoparticles (UCNPs). UCNPs are able to convert two or more near-infrared pump photons into a higher energy output photon through sequential electronic excitation and energy-transfer processes. Because the compositions in various substrates cannot be excited by near-infrared light, the imaging of latent fingermarks with UCNPs suffers little from background fluorescence interference, thus offering apparent optical contrast to allow high detection sensitivity. In 2014, Wang et al. combined the advantages of using UCNPs functionalized with an aptamer and near-infrared-light-mediated imaging to detect lysozyme and cocaine present in fingermarks and to develop a general and easy-to-perform strategy for latent fingermark detection based on molecular recognition.94 UCNPs possess the ability of suppressing the background fluorescence and thus making it possible for fingermark imaging to be performed on some problematic surfaces. This design possesses the potential to be used for various kinds of exogenous substance detection by simply changing the type of aptamer.94
Recently, Ran and co-workers reported the use of DNA-modulated silver nanoclusters (AgNCs) combined with molecule-binding aptamers to visualize and detect endogenous and exogenous components on LFMs for the first time.95 The emissions of the AgNCs are regulated by the nearby DNA region, resulting in a multi-colour image of the LFMs that can be visualized under excitation by the naked eye and recorded by fluorescence microscopy. This promising protocol is simple and cost-effective as the AgNCs do not need be further functionalized when the analytes are changed. Zhao et al. developed a sensitive and universal protocol to image various types of fingermarks (including sebaceous, eccrine, fresh LFMs and aged LFMs) on different substrates (such as smooth, scratching, semi-porous and porous surfaces) by combining sandwiched SERS probes with aptamers.96 The structures of the nanoprobes (Au/pNTP/SiO2-lysozyme-binding aptamer) were helpful for avoiding environmental interference of the SERS signal and for improving the efficiency of the fingermark identification.
However, sample treatment with immunogenic and nucleic acid reagents requires careful operation to inhibit the non-specific adsorption, and also the quality of the eventual ridge development is strongly dependent on the substrate surface where the fingermark is deposited. The major disadvantage of the targeted-methodology though is that it can only provide relative single information per analysis that may be not applicable at the crime scene.
In 2007, Zhang et al. first applied SECM for imaging latent fingermarks based on the detecting of silver stained proteins on the PVDF membrane.99 The operating principle of the SECM imaging of treated latent fingermarks on a PVDF membrane is presented in Fig. 13. In the amperometric feedback mode, the SECM probe signal used for fingermark imaging is the Faradaic current resulting from the oxidation of the mediator IrCl63−, at the tip potential of +0.8 V. When the probe is scanned near the black ridges of the silver stained fingermark, an electrochemical recycling of IrCl63− becomes possible by a heterogeneous bimolecular electron transfer reaction between IrCl62− and the silver particles. This process induces an increase in the probe current signal (the positive feedback effect), while the current response monotonically decreases when the probe approaches to the valley part of the sample because IrCl63− diffusion is then prevented (the negative feedback effect). These changes in the tip current response during lateral scans in SECM imaging reflect the topology of the fingermark on the surface. This high-resolution SECM imaging of latent fingermarks can provide the third level of valuable information for confirming forensic identifications. Moreover, this method is also compatible with the previous detection techniques for bloody and protein-contained LFMs. At present, the main shortcomings of SECM lie in its long imaging time (a few hours) and small LFM sample size and the fact that it only provides relative single information per analysis. The SECM technique is not applicable to imaging fingermarks after treatment with conventional development methods.
Fig. 13 Schematic (not to scale) of the operating principle for SECM imaging of silver stained fingermarks on the PVDF membrane using IrCl63− oxidation (Etip = 0.8 V vs. Ag QRE) at the tip.99 Reproduced from ref. 99 with permission from the Elsevier. |
Electrochemiluminescence (ECL) is a controllable form of chemiluminescence where light emission is initiated via an electrochemical reaction, which is a superior way of imaging electrochemical and biosensing events on different surfaces.100 In conjunction with the enzyme-linked immuno-sensing methodologies, ECL can enhance the visualization of latent fingermarks through the recognition of specific proteins/polypeptides, such as epidermal growth factor (EGF), lysozyme and dermcidin.101 Moreover, the approach described in this work could easily be adapted to fabricate portable hand-held devices. The main limitation of ECL is its low image resolution and the fact it can only offer relative single information per analysis compared with MS-based chemical imaging methods. Also, the ECL technique is not applicable to imaging fingermarks after treatment with conventional development methods.
As might be expected, all of these techniques have advantages and disadvantages depending on how the analysis needs to be performed and what or how the analytes can be detected. In Table 1, a schematic overview is presented, describing the main techniques, including their advantages and disadvantages. Raman and IR-based methods can provide information on the functional groups of the molecules analyzed, but identification of the species may prove difficult without consulting a library or if the compound is not present in the library. Mass spectrometry is a powerful way to identify compounds with high accuracy compared to other methods, but MS-based methods still suffer from some disadvantages that could restrict their wide use, such as high initial investment costs and lack of portability.108 Even so, MS techniques will continue to play an important role in this field because of their unique characteristic of providing chemical and imaging information simultaneously. The use of immuno-labelling for the detection of latent fingermarks is a relatively new area that has been developed as a promising tool to overcome the sensitivity and selectivity issues currently encountered with the existing methods. However, the tagging technique is complicated due to it requiring different tagged particles to be prepared for each target molecule. Electrochemical methods have shown great potential to provide high resolution and sensitive images of latent fingermarks or of bloody fingermarks on multicoloured surfaces, which are often problematic for optical techniques.
Advantages | Disadvantages | Spatial resolution | Compounds | ||
---|---|---|---|---|---|
Spectroscopy | Infrared spectroscopy | - Can be applied after lifting the fingermarks16 | - Proven to be difficult to do without consulting a library or if the compound is not present in the library102 | 18 μm (ref. 103) | - Endogenous (amino acids), exogenous (drug abuse) compounds and lipids14,104 |
Raman spectroscopy | - Non-destructive and requires no sample preparation24 | - Intense fluorescence signals exhibited by many substrates, which can cover the desired chemical information106 | 10 μm (ref. 28) | - Endogenous (amino acids and proteins) compounds, explosives, drugs of abuse and polymer lubricants24,28,30,31,104 | |
- Can be applied after lifting the fingermarks24 | |||||
- Portable105 | |||||
Micro-X-ray fluorescence | - Can be applied on aged fingermarks33 | - Relatively slow pixel acquisition rate107 | 10 μm (ref. 105) | - Inorganic elemental constituents, such as Na, Mg, Si, S, Cl, etc.34 | |
- Complements the current spectroscopy and mass spectrometry techniques used by forensic investigators34 | |||||
Mass spectrometry | MALDI-MS | - The matrix CHCA can be used as a dusting agent for latent fingerprint recovery during an investigations47 | - Need vacuum conditions55 | 10 μm (ref. 102) | - Endogenous (such as fatty acids, peptides, proteins) and exogenous (drugs, polymer lubricants and beauty product contaminants) compounds45,46,49 |
- Can be applied on lifted fingermarks40 | - Strong background peaks in the low mass region108 | ||||
- Uneven distribution of matrix crystals with different sizes and shapes61,102 | |||||
SALDI-MS | - The agent can be used as a dusting agent for latent fingerprint recovery during an investigation39 | - The surface influences the analysis | Down to 10 μm | - Exogenous (pharmaceutical drugs, such as terbinafine, illicit drugs, such as cocaine and nicotine) species39–41 | |
- Can be applied on lifted dusting fingermarks39 | |||||
DESI-MS | - DESI flexibility and high-speed analysis can help to speed-up crime scene forensic investigation37 | - The high pressure gas can result in unwanted redistribution or smearing of analytes on certain surfaces60 | 150 μm (ref. 36) | - Drugs, explosives, inks on documents, polymer lubricants and endogenous compounds (fatty acids)36,37 | |
- No sample pre-processing prior to analysis37 | |||||
ToF-SIMS | - Superior spatial resolution and sensitivity52,108 | - High vacuum conditions may result in changes to the fingerprint chemistry, also, an increased time per analysis109 | Down to 1 μm (ref. 53) | - Endogenous (fatty acids and squalene) and exogenous (gunshot residues, drugs, toxic substances, such as As2O3) compounds52,110 | |
- No sample pre-processing prior to analysis52 | |||||
LAET-MS | - High spatial resolution and quantitative capability to detect small molecules61 | - Not applicable at crime scenes61 | 5 μm (ref. 61) | - Small molecule endogenous compounds (fatty acids, hormones)61 | |
DEFFI-MS | - Minimal sample pre-processing in atmospheric conditions60 | - Difficulty in repairing the source if it becomes damaged or clogged111 | - Endogenous (fatty acids) and exogenous (explosives, narcotics and lotions) compounds60 | ||
SLIM-MALDI-MS | - Improved signal-to-noise ratio compared with conventional CHCA62 | - The technique costs a lot due to coinage metal clusters62 | - Low mass chemical compounds (fatty acids, beauty product contaminants and illicit and pharmaceutical drugs)62 | ||
- Silver cluster powder can be used as a dusting agent for latent fingerprint recovery during investigations62 | |||||
Immunoassay method | Immuno-labelling | - Compatible with fingermark techniques76,83 | - Background staining101 | 1 μm (ref. 113) | - Endogenous (amino acids) compounds and exogenous (cotinine, methadone, etc.) compounds75,76,113 |
- Not applicable at crime scenes112 | |||||
Antigen | - Has an affinity and specificity to detect components in fingermarks91 | - Surfaces of the detection basements need complex pre- and post-treatments96 | A few hundred nanometres94 | - Endogenous (proteins) and exogenous (explosive residues, illicit drugs) compounds91–93 | |
Electrochemical method | Scanning electrochemical microscopy | - Sensitive and overcomes the issue of problematic backgrounds114 | - Not applicable at crime scenes | 20 μm (ref. 114) | - Proteins and polypeptides114 |
Although a number of techniques exist that allow for the detection of specific components in fingermarks, there is still a gap between forensic research in the lab and forensic practice at a crime scene. In future, methods that are reliable, portable, fast, low-cost, sensitive, selective and non-destructive are highly needed for visualizing latent fingermarks physically and for imaging them chemically.
This journal is © The Royal Society of Chemistry 2016 |