5 research outputs found
Molybdenum Disulfide Quantum Dots as a Photoluminescence Sensing Platform for 2,4,6-Trinitrophenol Detection
Transition metal
chalcogenides, especially molybdenum disulfide
(MoS<sub>2</sub>), have recently attracted wide attention from researchers
as graphene-analogous materials. However, until now, little literature
has reported the synthesis of photoluminescent MoS<sub>2</sub> materials
and their applications in analytical chemistry. We herein presented
a facile bottom-up hydrothermal route for the synthesis of photoluminescent
MoS<sub>2</sub> quantum dots (QDs) by using sodium molybdate and cysteine
as precursors. The prepared MoS<sub>2</sub> QDs were characterized
by transmission electron microscopy, atomic force microscopy, X-ray
photoelectron spectroscopy, Fourier transform infrared spectroscopy,
photoluminescence spectroscopy, and UV–vis spectroscopy. The
MoS<sub>2</sub> QDs were then used as photoluminescent probes to construct
a photoluminescence (PL) quenching sensor for detection of 2,4,6-trinitrophenol
(TNP). The TNP sensor presented a wide linear range from 0.099 to
36.5 ÎĽM with a high detection limit of 95 nM. Furthermore, the
sensor displayed a high sensitivity toward TNP over other structurally
similar compounds like 2,4,6-trinitrotoluene, p-chlorophenol, phenol,
and 2,6-di-<i>tert</i>-butyl-4-methylphenol. To understand
the origin of the high sensitivity, we assessed the emission wavelength-dependent
PL quenching behavior of MoS<sub>2</sub> QDs by the above five compounds
using Stem–Volmer equation in detail. The results showed that
the novel approach we put forward can satisfactorily explain the interaction
mechanisms between MoS<sub>2</sub> QDs and the five compounds, and
the high sensitivity for TNP very likely originated from a combination
of the PL resonance energy transfer, electronic energy transfer, and
electrostatic interactions between MoS<sub>2</sub> QDs and TNP. Finally,
the sensor was successfully applied for detection of TNP in water
samples and test papers
Competitive Interactions of Ionic Surfactants with Salbutamol and Bovine Serum Albumin: A Molecular Spectroscopy Study with Implications for Salbutamol in Food Analysis
The effect of ionic surfactants,
sodium dodecyl sulfate (SDS) and <i>N</i>-cetyl-<i>N</i>,<i>N</i>,<i>N</i>-trimethylammonium
bromide (CTAB), on the interaction between β-agonist
salbutamol (SAL) and bovine serum albumin (BSA) was investigated with
the use of fluorescence spectroscopy (FLS) and chemometrics methods
[multivariate curve resolution-alternating least-squares (MCR-ALS)
and parallel factor analysis algorithm (PARAFAC)]. It was found that
the binding constant of SAL to BSA in the presence of CTAB was much
larger than that without this ligand. The ligand/BSA stoichiometry
was 4:1, that is, (CTAB)<sub>4</sub>–BSA, and was 2:1 with
the ligand, that is, (SAL)<sub>2</sub>–BSA. These results were
obtained from the concentration profiles extracted by MCR-ALS for
all three reactants. Quantitative information on the complex CTAB–BSA–SAL
species was obtained with the resolution of the excitation–emission
fluorescence three-way data matrices by PARAFAC. This research has
implications for the analysis of SAL in food and might be performed
in laboratories associated with organizations such as the U.S. Food
and Drug Administration (FDA) and the International Olympic Committee
(IOC)
A Near-Infrared Reflectance Spectroscopy Method for Direct Analysis of Several Chemical Components and Properties of Fruit, for Example, Chinese Hawthorn
Near-infrared spectroscopy (NIRS) calibrations were developed
for
the discrimination of Chinese hawthorn (<i>Crataegus pinnatifida</i> Bge. var. <i>major</i>) fruit from three geographical
regions as well as for the estimation of the total sugar, total acid,
total phenolic content, and total antioxidant activity. Principal
component analysis (PCA) was used for the discrimination of the fruit
on the basis of their geographical origin. Three pattern recognition
methods, linear discriminant analysis, partial least-squares-discriminant
analysis, and back-propagation artificial neural networks, were applied
to classify and compare these samples. Furthermore, three multivariate
calibration models based on the first derivative NIR spectroscopy,
partial least-squares regression, back-propagation artificial neural
networks, and least-squares-support vector machines, were constructed
for quantitative analysis of the four analytes, total sugar, total
acid, total phenolic content, and total antioxidant activity, and
validated by prediction data sets
Label-Free Fluorescence Sensing of Lead(II) Ions and Sulfide Ions Based on Luminescent Molybdenum Disulfide Nanosheets
Fluorescent
molybdenum disulfide (MoS<sub>2</sub>) nanosheets were
synthesized hydrothermally by employing sodium molybdate and thiourea
as the starting materials. LeadÂ(II) ion was introduced as a chemical
dopant into the fluorescent nanosheets for the first time, and it
was found that the fluorescence of the doped MoS<sub>2</sub> nanosheets
showed a considerable enhancement compared with that of initial MoS<sub>2</sub> nanosheets, implying that leadÂ(II)-doping into the MoS<sub>2</sub> nanosheets could result in an increase in the fluorescence
quantum yield. In parallel, we exploited the leadÂ(II)-induced fluorescence
enhancement of MoS<sub>2</sub> nanosheets to design a green and facile
fluorescent “turn on” nanosensor for leadÂ(II) detection.
Moreover, we found that the fluorescent intensity of the doped MoS<sub>2</sub> nanosheets was drastically quenched by the successive addition
of sulfide ions. Hence, the “turn off” process was used
to fabricate a green fluorescence quenching sensor for detection of
sulfide ions. Finally, we elucidated the origin of the leadÂ(II)-induced
fluorescence enhancement and sulfide-induced fluorescence reduction
by using various analytical techniques like scanning electron microscopy,
transmission electron microscopy, X-ray photoelectron spectroscopy,
X-ray diffraction, Fourier transform infrared spectroscopy, and UV–vis
spectroscopy. The work not only opens a door for the further development
of new approaches for the preparation of various fluorescent layered
transition metal dichalcogenides with high quantum yields but also
provides a versatile and sustainable sensing platform for ion detection
One-Pot Aqueous Synthesis of Nucleoside-Templated Fluorescent Copper Nanoclusters and Their Application for Discrimination of Nucleosides
A facile,
one-pot synthetic method has been proposed to prepare water-soluble
fluorescent copper nanoclusters (CuNCs) templated by nucleosides.
The nucleoside-templated fluorescent CuNCs were further characterized
by using various analytical techniques, such as transmission electron
microscopy, X–ray photoelectron spectroscopy, Fourier transform
infrared spectroscopy, and fluorescence spectroscopy. The role of
various reactants such as ascorbic acid, nucleoside, and citrate buffer
in the synthesis process of fluorescent CuNCs was explored. The results
showed that nucleoside and ascorbic acid were very likey to respectively
act as a stabilizer and a reductant to form nanoclusters, and citrate
buffer acted as both pH regulator solution and a reducing agent. The
fluorescence spectra of various nucleoside-templated CuNCs were finally
combined with multivariate chemometrics analysis for discrimination
of different nucleosides