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PubMed2004

Changes in the lipid composition of latent fingerprint residue with time after deposition on a surface.

The work described in this report was focused on generating increased knowledge of fingerprint chemistry, particularly the composition of a latent fingerprint at the time it is deposited, and the chemical changes in lipid components that occur over time. Fingerprints from five male donors (aged 25-34 years) were collected and aged under controlled conditions. The prints were then sampled at set intervals, solvent extracted with dichloromethane, co-derivatized with MSTFA and analyzed by gas chromatography-mass spectrometry (GC-MS). It was shown that there was loss of squalene from prints stored in the light or in the dark. Loss was more rapid in the light, with squalene in prints from some donors not detected after 9 days storage. For these same donors, squalene was still detected after 33 days storage in the dark, but at much lower levels than in fresh prints. For saturated fatty acids (tetradecanoic, palmitic and stearic acid) there was a trend towards an increase in levels of these substances during storage (up to about 20 days) followed by a decrease back to original levels or below. This was the case for samples stored in the light or in the dark. For palmitoleic acid, a similar trend was seen. For oleic acid, this trend was seen for samples stored in the dark. For samples stored in the light the general trend was a decrease in level over the storage period (up to 33 days).

Adult↗

PubMed2005

Development of latent fingerprints on compact disc and its effect on subsequent data recovery.

Chance fingerprints may be found on every type of surfaces of contact and when they are latent, need to be developed by various methods. The type of surface on which latent prints are to be developed is one of the important factors when a choice for a method of development is to be made. The matter becomes more crucial when the surface is unique like a compact disc containing digital data. In this case, to develop the fingerprints is not the only matter to be taken care of but also, is very important to select such a method which may not effect the stored data and its retrieval. In present investigation, various methods have been tried to develop fingerprints on the writing surface of a CD and results are discussed with respect to their development as well as its effect on stored data and data retrieval.

Charcoal↗

PubMed2005

Metabolic fingerprinting of rat urine by LC/MS Part 2. Data pretreatment methods for handling of complex data.

Metabolic fingerprinting of biofluids like urine is a useful technique for detecting differences between individuals. With this approach, it might be possible to classify samples according to their biological relevance. In Part 1 of this work a method for the comprehensive screening of metabolites was described, using two different liquid chromatography (LC) column set-ups and detection by electrospray ionization mass spectrometry (ESI-MS). Data pretreatment of the resulting data described in is needed to reduce the complexity of the data and to obtain useful metabolic fingerprints. Three different approaches, i.e., reduced dimensionality (RD), MarkerLynx, and MS Resolver, were compared for the extraction of information. The pretreated data were then subjected to multivariate data analysis by partial least squares discriminant analysis (PLS-DA) for classification. By combining two different chromatographic procedures and data analysis, the detection of metabolites was enhanced as well as the finding of metabolic fingerprints that govern classification. Additional potential biomarkers or xenobiotic metabolites were detected in the fraction containing highly polar compounds that are normally discarded when using reversed-phase liquid chromatography.

Animals↗

PubMed2005

Application of microemulsion thin layer chromatography for the fingerprinting of licorice (Glycyrrhiza spp.).

Microemulsion thin layer chromatography (ME-TLC) has been developed for the fingerprinting of aqueous extract of licorice (Glycyrrhiza spp.). The separation conditions and operational processes of the method have been optimized, and its chromatographic characteristics compared with conventional TLC. The ME-TLC system is easier to operate, and with higher resolution and better reproducibility than the conventional TLC. The separation mechanism and retention behavior of ME-TLC are found to differ significantly from conventional TLC. The technique has been applied to the analysis of different licorice species including G. uralensis, G. glabra and G. inflata; and to monitor the dynamic accumulation of active ingredients in licorice plant harvested at different times during its growing cycle in a Good Agriculture Practice (GAP) research farm. Results show that without post-chromatographic derivatization, the ME-TLC fingerprinting images of different species appear as clear, well resolved bands and with strong intensities to reveal distinctively different compositional features of the samples. The technique has also been applied successfully to monitor the dynamic accumulation of active components in licorice plant as a function of growing time in an experimental licorice farm. The study demonstrates the potential of ME-TLC technique as a rapid fingerprinting tool for the authentication and quality assessment of licorice as well as other herbs.

Chromatography, Thin Layer↗

PubMed2006

Development of the fingerprints for the quality of the roots of Salvia miltiorrhiza and its related preparations by HPLC-DAD and LC-MS(n).

High-performance liquid chromatographic (HPLC) fingerprints were developed for identification of both lipophilic and hydrophilic components of the roots of Salvia miltiorrhiza and four related preparations. These samples were separated with an Agilent Zorbax Extend C(18) reserved-phase column (5 microm, 250 mm x 4.6 mm) by linear gradient elution using water-phosphoric acid (100:0.026, v/v) and acetonitrile as mobile phase. The flow rate was 0.8 ml/min and the detector wavelength was set at 280 nm. Mean chromatograms and correlation coefficients of samples were calculated by the software "Similarity Evaluation System for Chromatographic Fingerprint of TCM". The correlation coefficients of Danshen and Fufang Danshen tablets (FDT) samples were in the range of 0.352-0.993 and 0.768-0.987, respectively. The correlation coefficients of Compound Danshen dripping pills (CDDP), Danshen injection (DSI) and Xiangdan injection (XDI) samples were higher than 0.928, 0.850 and 0.960, respectively. It was the first time to identify 34 peaks by comparing with standard compounds and using liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS(n)) technique. All results indicated that the developed fingerprint assay could be readily utilized as a quality control method for S. miltiorrhiza and its related preparations.

Chromatography, High Pressure Liquid↗

PubMed2006

Development of a fingerprint of Salvia miltiorrhiza Bunge by high-performance liquid chromatography with a coulometric electrode array system.

To standardize and control herbal medicines, a feasible approach and control system is necessary. In this paper, a high-performance liquid chromatography with a coulometric electrode array detector (HPLC-CEAD) system was applied to fingerprint Salvia miltiorrhiza Bunge (S. miltiorrhiza Bunge), a popular herbal medicine, for the first time. pH of mobile phase, working potentials and sample preparation were included in our research. Twenty-five common peaks were obtained from extracts of S. miltiorrhiza Bunge (Shandong province), more than that obtained in previous report. Fingerprints of S. miltiorrhiza Bunge from different locations were also studied. The content of main components varied in different samples. Overlapping ratio of peaks (ORP) in 10 batches of S. miltiorrhiza Bunge (Shandong province) was not less than 72.46%. In method validation, relative standard deviation (RSD) of relative retention times and relative peak areas were of not more than 3%. It was concluded that HPLC-CEAD system can be applied in fingerprinting herbal medicines.

Chromatography, High Pressure Liquid↗

PubMed2006

Quantitative analysis and chromatographic fingerprinting for the quality evaluation of Scutellaria baicalensis Georgi using capillary electrophoresis.

Quantitative analysis and chromatographic fingerprinting for the quality evaluation of a Chinese herb Scutellaria baicalensis Georgi using capillary electrophoresis (CE) technique was developed. The separation was performed with a 50.0cm (42.0cm to the detector window)x75mum i.d. fused-silica capillary, and the CE fingerprint condition was optimized using the combination of central composite design and multivariate analysis. The optimized buffer system containing 15mM borate, 40mM phosphate, 15mM SDS, 15% (v/v) acetonitrile and 7.5% (v/v) 2-propanol was employed for the method development, and the baseline separation was achieved within 15min. The determination of the major active components (Baicalin, Baicalein and Wogonin) was carried out using the optimized CE condition. Good linear relationships were provided over the investigated concentration ranges (the values of R(2): 0.9997 for Baicalin, 0.9992 for Baicalein, and 0.9983 for Wogonin, respectively). The average recoveries of these target components ranged between 96.1-105.6%, 98.6-105.2%, and 96.3-105.0%, respectively. CE fingerprints combined with the quantitative analysis can be used for the quality evaluation of S. baicalensis.

2-Propanol↗

PubMed2005

Fingerprint formation.

Fingerprints (epidermal ridges) have been used as a means of identifications for more than 2000 years. They have also been extensively studied scientifically by anthropologists and biologists. However, despite all the empirical and experimental knowledge, no widely accepted explanation for the development of epidermal ridges on fingers, palms and soles has yet emerged. In this article we argue that fingerprint patterns are created as the result of a buckling instability in the basal cell layer of the fetal epidermis. Analysis of the well-known von Karman equations informs us that the buckling direction is perpendicular to the direction of greatest stress in the basal layer. We propose that this stress is induced by resistance of furrows and creases to the differential growth of the basal layer and regression of the volar pads during the time of ridge formation. These ideas have been tested by computer experiments. The results are in close harmony with observations. Specifically, they are consistent with the well-known observation that the pattern type is related to the geometry of the fingertip surface when fingerprint patterns are formed.

Algorithms↗

PubMed2006

Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers.

We present a general method for the classification of independent components (ICs) extracted from functional MRI (fMRI) data sets. The method consists of two steps. In the first step, each fMRI-IC is associated with an IC-fingerprint, i.e., a representation of the component in a multidimensional space of parameters. These parameters are post hoc estimates of global properties of the ICs and are largely independent of a specific experimental design and stimulus timing. In the second step a machine learning algorithm automatically separates the IC-fingerprints into six general classes after preliminary training performed on a small subset of expert-labeled components. We illustrate this approach in a multisubject fMRI study employing visual structure-from-motion stimuli encoding faces and control random shapes. We show that: (1) IC-fingerprints are a valuable tool for the inspection, characterization and selection of fMRI-ICs and (2) automatic classifications of fMRI-ICs in new subjects present a high correspondence with those obtained by expert visual inspection of the components. Importantly, our classification procedure highlights several neurophysiologically interesting processes. The most intriguing of which is reflected, with high intra- and inter-subject reproducibility, in one IC exhibiting a transiently task-related activation in the 'face' region of the primary sensorimotor cortex. This suggests that in addition to or as part of the mirror system, somatotopic regions of the sensorimotor cortex are involved in disambiguating the perception of a moving body part. Finally, we show that the same classification algorithm can be successfully applied, without re-training, to fMRI collected using acquisition parameters, stimulation modality and timing considerably different from those used for training.

Algorithms↗

PubMed2002

Fingerprinting of natural organic matter by capillary zone electrophoresis using organic modifiers and pattern recognition analysis.

Capillary zone electrophoresis was used for characterising nine samples of natural organic matter (NOM) using phosphate buffer (25 mM, pH 7) and various modifiers; methanol (50 mM), acetonitrile (10%,v/v), dimethyl sulfoxide (5%,v/v), and urea (5 M). Principal component analysis (PCA) was used to examine whether the electrophoretic profiles can be utilised as fingerprints for tracing the NOM samples to their source and/or type of location. It was found that all modifiers except methanol affect the electropherograms. Furthermore, it was found that the PCA analysis carried out on the electrophoretic profiles recorded in buffer solution modified by urea gave the best results for fingerprinting. The distribution of the fingerprints suggests a model for the humic substances in which all samples can be regarded as mixtures between two endmembers: autochtonous and allocthoneous NOM.

Acetonitriles↗

PubMed2003

Assessment of 1H NMR spectroscopy and multivariate analysis as a technique for metabolite fingerprinting of Arabidopsis thaliana.

An approach to metabolite fingerprinting of crude plant extracts that utilizes 1H nuclear magnetic resonance (NMR) spectroscopy and multivariate statistics has been tested. Using ecotypes of Arabidopsis thaliana as experimental material, a method has been developed for the rapid analysis of unfractionated polar plant extracts, enabling the creation of reproducible metabolite fingerprints. These fingerprints could be readily stored and compared by a variety of chemometric methods. Comparison by principal component analysis using SIMCA-P allowed the generation of residual NMR spectra of the compounds that contributed significantly to the differences between samples. From these plots, conclusions were drawn with respect to the identity and relative levels of metabolites differing between samples.

Arabidopsis↗

PubMed2006

Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.

BACKGROUND: We investigated the potential of proteomic fingerprinting with mass spectrometric serum profiling, coupled with pattern recognition methods, to identify biomarkers that could improve diagnosis of tuberculosis. METHODS: We obtained serum proteomic profiles from patients with active tuberculosis and controls by surface-enhanced laser desorption ionisation time of flight mass spectrometry. A supervised machine-learning approach based on the support vector machine (SVM) was used to obtain a classifier that distinguished between the groups in two independent test sets. We used k-fold cross validation and random sampling of the SVM classifier to assess the classifier further. Relevant mass peaks were selected by correlational analysis and assessed with SVM. We tested the diagnostic potential of candidate biomarkers, identified by peptide mass fingerprinting, by conventional immunoassays and SVM classifiers trained on these data. FINDINGS: Our SVM classifier discriminated the proteomic profile of patients with active tuberculosis from that of controls with overlapping clinical features. Diagnostic accuracy was 94% (sensitivity 93.5%, specificity 94.9%) for patients with tuberculosis and was unaffected by HIV status. A classifier trained on the 20 most informative peaks achieved diagnostic accuracy of 90%. From these peaks, two peptides (serum amyloid A protein and transthyretin) were identified and quantitated by immunoassay. Because these peptides reflect inflammatory states, we also quantitated neopterin and C reactive protein. Application of an SVM classifier using combinations of these values gave diagnostic accuracies of up to 84% for tuberculosis. Validation on a second, prospectively collected testing set gave similar accuracies using the whole proteomic signature and the 20 selected peaks. Using combinations of the four biomarkers, we achieved diagnostic accuracies of up to 78%. INTERPRETATION: The potential biomarkers for tuberculosis that we identified through proteomic fingerprinting and pattern recognition have a plausible biological connection with the disease and could be used to develop new diagnostic tests.

Adolescent↗

PubMed2001

The effect of metal salt treatment on the photoluminescence of DFO-treated fingerprints.

Ninhydrin developed fingerprints can be enhanced by treatment with a zinc or cadmium salt. The resulting fingerprint luminescence has been attributed to the induced coplanarity of the bicyclic indanedione rings of Ruhemann's purple due to complexation with the metal ions. This paper explores whether this effect also occurs in the 1,8-diaza-9-fluorenone (DFO)-amino acid adduct (1), formed from the reaction of DFO with amino acids. Molecular modeling studies of (1) indicate a relatively small out-of-plane angle of 24 degrees. 1H NMR studies indicate (1) is asymmetric about the C2 axis in contrast to what has been previously reported. Little, if any, enhancement of luminescence was observed with Zn, Cd, Ru or Eu treated DFO developed latent fingerprints. This lack of enhancement was also borne out by solution luminescence studies. Given this lack of enhancement of luminescence, solutions of (1) and the four metal ions above were analyzed by electrospray mass spectrometry (ESMS). This indicated the formation of predominantly 1:1 complexes of (1) with both Zn and Cd, and the 2:1 complex with ruthenium. No evidence of a Eu complex was found by ESMS.

Amino Acids↗

PubMed1999

Is there a gender difference in fingerprint ridge density?

In the past it has been assumed that the fingerprints of women tend to have "fine" epidermal ridge detail while men have "coarse" ridge detail. Past studies have examined this hypothesis but have not clearly demonstrated if observed differences are statistically significant. The goal of this study is to determine if women have significantly higher ridge density, hence finer epidermal ridge detail, than men by counting ridges that occur within a well defined space. If significant gender differences do exist then the likelihood of inferring gender from given ridge densities will be explored. This study focused on 400 randomly picked ten-print cards representing 400 subjects. The demographic composition of this sample population represents 100 Caucasian males, 100 African American males, 100 Caucasian females and 100 African American females all within the age range of 18-67. Results show that women tend to have a significantly higher ridge density than men and that this trend is upheld in subjects of both Caucasian and African American descent (F = 81.96, P < 0.001). Application of Bayes' theorem suggests that a given fingerprint possessing a ridge density of 11 ridges/25 mm2 or less is most likely to be of male origin. Likewise a fingerprint having a ridge density of 12 ridges/25 mm2 or greater is most likely to be of female origin, regardless of race.

Adolescent↗

PubMed1999

Analysis of genotypic diversity and relationships among Pseudomonas stutzeri strains by PCR-based genomic fingerprinting and multilocus enzyme electrophoresis.

Molecular fingerprinting procedures including random amplified polymorphic DNA-PCR (RAPD), repetitive extragenic palindromic PCR (rep-PCR) with REP, ERIC, and BOX primers and multilocus enzyme electrophoresis (MLEE) were used for genotypic characterization of 16 P. stutzeri strains originally isolated from marine, waste water, clinical and soil samples. A distinct genotype of each strain and overall great genotypic diversity were found within P. stutzeri. Cluster analysis (UPGMA) of the electrophoretic patterns of all PCR-based methods used resulted in concordant grouping of 8 strains. With the other strains conflicting clustering was noticed. The variability of clustering in PCR-based analyses suggested the occurrence of chromosomal rearrangements. When RAPD-, rep-PCR and MLEE fingerprints were used in a cluster analysis of combined electrophoretic patterns, the P. stutzeri strains could be differentiated into seven distinct genotypic groups. These results supported the subdivision of the species in several genomovars and reproduced, with higher resolution, the strain grouping after 16S rRNA phylogenetic reconstruction. The combined use of several fingerprint-based genotypic analyses results in higher resolutive strain clustering by UPGMA than each of the single ones analyzed separately. Additionally, this combination of individual typings proved to be reliable of the determination of the great genotypic diversity and relationships among the P. stutzeri strains.

Base Sequence↗

PubMed2002

Small molecule affinity fingerprinting. A tool for enzyme family subclassification, target identification, and inhibitor design.

Classifying proteins into functionally distinct families based only on primary sequence information remains a difficult task. We describe here a method to generate a large data set of small molecule affinity fingerprints for a group of closely related enzymes, the papain family of cysteine proteases. Binding data was generated for a library of inhibitors based on the ability of each compound to block active-site labeling of the target proteases by a covalent activity based probe (ABP). Clustering algorithms were used to automatically classify a reference group of proteases into subfamilies based on their small molecule affinity fingerprints. This approach was also used to identify cysteine protease targets modified by the ABP in complex proteomes by direct comparison of target affinity fingerprints with those of the reference library of proteases. Finally, experimental data were used to guide the development of a computational method that predicts small molecule inhibitors based on reported crystal structures. This method could ultimately be used with large enzyme families to aid in the design of selective inhibitors of targets based on limited structural/function information.

Algorithms↗

PubMedDate not supplied

Ballistic fingerprinting databases.

This article discusses a number of questions regarding the setting up of ballistic fingerprinting databases, consisting of ammunition components fired by all the firearms held in legal possession. These questions can be classified into three categories--the efficiency of the database, forensic issues, and practical issues to be dealt with. The current New York State legislation is used as an illustration of the choices to be made when setting up a ballistic fingerprinting database. Three important arguments are formulated against the installation of a ballistic fingerprinting database.

Databases, Factual↗

PubMed2005

Characterization of vegetable oils by electrospray ionization mass spectrometry fingerprinting: classification, quality, adulteration, and aging.

An improved approach for the direct infusion electrospray ionization mass spectrometry (ESI-MS) analysis of vegetable oils is described. The more polar components of the oils, including the fatty acids, are simply extracted with methanol/water (1:1) solution and analyzed by direct infusion ESI-MS in both the negative and positive ion modes. This fingerprinting analysis was applied to genuine samples of olive, soybean, corn, canola, sunflower, and cottonseed oil, to admixtures of these oils, and samples of aged soybean oil. ESI-MS fingerprints in the positive ion mode of the extracts divide the oils into well-defined groups, as confirmed by principal component analysis, whereas ESI-MS fingerprints in the negative ion mode clearly differentiate olive oil from the five other refined oils. The method is also shown to detect aging and adulteration of vegetable oils.

Plant Oils↗