Herein, a novel, rapid, highly sensitive,
and selective fluorescent
biosensor is presented, which is designed based on “sandwich-type”
hybridization of oligonucleotides and the fluorescence resonance energy
transfer (FRET) strategy. It senses and determines the MicroRNA-155
(miRNA-155) expression levels as a cancer biomarker. In this study,
a modified La(III)-metal–organic framework(MOF) and silver
nanoparticles (Ag NPs) were used as the energy donor–acceptor
pairs in fluorescence quenching through the FRET process. La(III)-MOF
was synthesized and then modified by glutaraldehyde as a cross-linking
agent. The Ag NPs were also prepared, and then, the surface of both
was conjugated with different 5′-amino-labeled ssDNA strands
(aptamers). These prepared nanoprobes were characterized by various
physicochemical techniques such as X-ray diffraction, energy-dispersive
X-ray spectrometry, Fourier transform infrared, field emission scanning
electron microscopy, UV–vis spectroscopy, elemental mapping,
and gel electrophoresis. To optimize the detection conditions, several
factors affecting biosensor performance were assessed by one variable-at-a-time
and central composite design methods. Under optimum conditions, this
“turn-off” fluorescent biosensor could detect and determine
as low as 0.04 ppb (ng. mL–1) or 5.5 fM of the miRNA-155
biomarker. Therefore, this biosensor provides highly promising potential
for lung and breast cancer diagnosis.
In this work, esterification of oleic acid by various alcohols is achieved with high yields under ultrasonic irradiation. This reaction performed with a novel heterogeneous catalyst that fabricated by heteropoly acid and Fe(III)-based MOF, namely MIL-53 (Fe). Syntheses of MIL-53 and encapsulation process carry out by ultrasound irradiation at ambient temperature and atmospheric pressure. The prepared composite was characterized by various techniques such as XRD, FT-IR, SEM, BET and ICP that demonstrate excellent catalytic activities, while being highly convenient to synthesize. The obtained results revealed that ultrasound irradiation could be used for the appropriate and rapid biodiesel production.
In this work, ultrasound-assisted oxidative desulfurization (UAOD) of liquid fuels performed with a novel heterogeneous highly dispersed Keggin-type phosphotungstic acid (HPWO, PTA) catalyst that encapsulated into an amino-functionalized MOF (TMU-17-NH). The prepared composite exhibits high catalytic activity and reusability in oxidative desulfurization of model fuel. Ultrasound-assisted oxidative desulfurization (UAOD) is a new way to performed oxidation reaction of sulfur-contain compounds rapidly, economically, environment-friendly and safely, under mild conditions. Ultrasound waves can be apply as an efficient tool to decrease the reaction time and improves oxidative desulfurization system performance. PTA@TMU-17-NH could be completely performed desulfurization of the model oil by 20mg of catalyst, O/S molar ratio of 1:1 in presence of MeCN as extraction solvent. The obtained results indicated that the conversions of DBT to DBTO achieve 98% after 15min in ambient temperature. In this work, we prepared TMU-17-NH and PTA/TMU-17-NH composite by ultrasound irradiation for first time and employed in UAOD process. Prepared catalyst exhibit an excellent reusability without PTA leaching and loss of activity.
In this work, a novel magnetic responsive composite was fabricated by encapsulation of FeO nanoparticles into an amino-functionalized MOF (TMU-17-NH) under ultrasound irradiation. The prepared materials were characterized by several techniques such as elemental analyses, PXRD, FT-IR, N adsorption, TGA and ICP. This composite has been applied to the adsorptive removal of nitrogen-contain compounds in model liquid fuel. The prepared composite demonstrates very good performance for the removal of NCCs. The maximum adsorption capacity of IND and QUI over prepared composite calculated 375.93 and 310.18mg·g at 25°C, respectively. The composite material is magnetically separable and reusable for several times.
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