2018
DOI: 10.1016/j.forsciint.2018.08.005
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Metal-Organic Frameworks for fingermark detection — A feasibility study

Abstract: Metal-Organic Frameworks (MOFs) are porous crystalline structures, currently used as sensors, separation membranes, and as catalysts. Due to their physicochemical and optical properties, they have been recently proposed for fingermark detection. This study further explored their potential for fingermark detection. Natural fingermarks, as well as charged and protein-enriched marks, were used to test the efficiency of the technique. Various parameters, such as precursor concentration, pH, immersion time and dete… Show more

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Cited by 13 publications
(9 citation statements)
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“…From the observed results distinct ridge details and enhanced properties were compared with traditional FP powders. In the same year, the research conducted by Sébastien et al [60] and Guo et al [61] confirmed the futuristic enhancement materials of MOFs.…”
Section: Long Wave Uv Spectroscopymentioning
confidence: 82%
“…From the observed results distinct ridge details and enhanced properties were compared with traditional FP powders. In the same year, the research conducted by Sébastien et al [60] and Guo et al [61] confirmed the futuristic enhancement materials of MOFs.…”
Section: Long Wave Uv Spectroscopymentioning
confidence: 82%
“…Our original report on biomimetic replication and biomineralization of Ln-MOFs from protein patterns on various surfaces leads to the formation of crystalline and fluorescent MOF thin films and patterns, [125,126] which could be used as biosensors and forensic applications. [127] In a recent study reported by Rosário et al, new classes of luminescent biohybrid cells was obtained via cultivating microorganisms in solutions containing Ln-MOFs particles and carbon source. [128] Interestingly, no permanent change and cytotoxicity was presented to the microorganisms after the incorporation of Ln-MO particles to the fungal structure.…”
Section: Mof-living Systems Interfacementioning
confidence: 99%
“…[9] In general, detection procedures based on sensing are superior to those classic detection procedures, including titration, chromatography, mass spectrometry etc., due to their rapidity, simplicity, costeffectiveness and aptness for large-scale sample detection. Sensitive and selective detection of analytes has extensive applications in different fields comprising chemical threat detection, [10] food quality control, [11] environmental monitoring, [12] forensic analysis, [13] industrial process management etc. [14] Even so, presently, classical sensors possess certain disadvantages like minimal selectivity, short lifetime, poor sensitivity, low stability and slow response time.…”
Section: Introductionmentioning
confidence: 99%