21 research outputs found
<i>C</i><sub>4</sub>(<i>L</i><sub><i>x</i></sub>, <i>e</i>; <i>l</i>) and estimated values.
<p><i>C</i><sub>4</sub>(<i>L</i><sub><i>x</i></sub>, <i>e</i>; <i>l</i>) and estimated values.</p
Test multivariate nonlinear Granger causality form <i>Y</i><sub><i>t</i></sub> to <i>X</i><sub><i>t</i></sub>.
<p>Test multivariate nonlinear Granger causality form <i>Y</i><sub><i>t</i></sub> to <i>X</i><sub><i>t</i></sub>.</p
Descriptive statistics of the series <i>Y</i><sub>1<i>t</i></sub>, <i>Y</i><sub>2<i>t</i></sub>, <i>X</i><sub>1<i>t</i></sub> and <i>X</i><sub>2<i>t</i></sub>.
<p>Descriptive statistics of the series <i>Y</i><sub>1<i>t</i></sub>, <i>Y</i><sub>2<i>t</i></sub>, <i>X</i><sub>1<i>t</i></sub> and <i>X</i><sub>2<i>t</i></sub>.</p
Testing nonlinear causality from prices to trading volumes of China’s A shares.
<p>Testing nonlinear causality from prices to trading volumes of China’s A shares.</p
Improving the Sensitivity and Linear Range of Photoionization Ion Mobility Spectrometry via Confining the Ion Recombination and Space Charge Effects Assisted by Theoretical Modeling
Photoionization
(PI) is an efficient ionization source for ion
mobility spectrometry (IMS) and mass spectrometry. Its hyphenation
with IMS (PI-IMS) has been employed in various on-site analysis scenarios
targeting a wide range of compounds. However, the signal intensity
and linear dynamic range of PI-IMS at ambient pressure usually do
not follow the Beer–Lambert law predictions, and the factors
causing that negative deviation remain unclear. In this work, a variable
pressure PI-IMS system was developed to examine the ion loss effects
from factors like ion recombination and space charge by varying its
working pressure from 1 to 0.1 bar. Assisted by theoretical modeling,
it was found that ion recombination could contribute up to 90% of
signal intensity loss for ambient pressure PI-IMS setups. Lowering
the pressure and increasing the electric field in PI-IMS helped suppress
the ion recombination process and thus an optimal pressure Poptimal appeared for best signal intensity,
despite the decreased net ion number density and the increased space
charge effect. A simplified theoretical equation taking ion recombination
as the primary ion loss factor was derived to link Poptimal with analyte concentration and electric field
in PI-IMS, enabling a swift optimization of the PI-IMS performance.
For example, compared to ambient pressure, PI-IMS at a Poptimal of 0.4 bar provided a signal intensity increment
of more than 400% for 0.716 ppmv toluene and also expanded the linear
dynamic range by more than two times. Revealing factors influencing
the PI-IMS response would also benefit the applications of other chemical
ionization sources in IMS or mass spectrometry (MS)
Dopant-Assisted Positive Photoionization Ion Mobility Spectrometry Coupled with Time-Resolved Thermal Desorption for On-Site Detection of Triacetone Triperoxide and Hexamethylene Trioxide Diamine in Complex Matrices
Peroxide explosives, such as triacetone
triperoxide (TATP) and
hexamethylene trioxide diamine (HMTD), were often used in the terrorist
attacks due to their easy synthesis from readily starting materials.
Therefore, an on-site detection method for TATP and HMTD is urgently
needed. Herein, we developed a stand-alone dopant-assisted positive
photoionization ion mobility spectrometry (DAPP-IMS) coupled with
time-resolved thermal desorption introduction for rapid and sensitive
detection of TATP and HMTD in complex matrices, such as white solids,
soft drinks, and cosmetics. Acetone was chosen as the optimal dopant
for better separation between reactant ion peaks and product ion peaks
as well as higher sensitivity, and the limits of detection (LODs)
of TATP and HMTD standard samples were 23.3 and 0.2 ng, respectively.
Explosives on the sampling swab were thermally desorbed and carried
into the ionization region dynamically within 10 s, and the maximum
released concentration of TATP or HMTD could be time-resolved from
the matrix interference owing to the different volatility. Furthermore,
with the combination of the fast response thermal desorber (within
0.8 s) and the quick data acquisition software to DAPP-IMS, two-dimensional
data related to drift time (TATP: 6.98 ms, <i>K</i><sub>0</sub> = 2.05 cm<sup>2</sup> V<sup>–1</sup> s<sup>–1</sup>; HMTD: 9.36 ms, <i>K</i><sub>0</sub> = 1.53 cm<sup>2</sup> V<sup>–1</sup> s<sup>–1</sup>) and desorption time
was obtained for TATP and HMTD, which is beneficial for their identification
in complex matrices
Additional file 3 of A comparative study of the prevalence of myopia and behavioral changes in primary school students
Additional file 3: Supplementary Table 2. Comparison ofbehaviors related to myopia between boys or girls in two group
Tailoring the Fluorescence of AIE-Active Metal–Organic Frameworks for Aqueous Sensing of Metal Ions
A hydroxyl-functionalized
ligand was designed for the construction of metal–organic framework
(MOF) materials with the aggregation-induced emission (AIE) feature,
in which the fluorescence can be deliberately tailored: quenching
the fluorescence to an “off” state by the decoration
with heterocyclic auxiliary ligand 4,4′-bypyridine (Bpy) in
the framework as a quenching agent and triggering the enhanced fluorescence
to an “on” state by removal of Bpy through the metal
competitive coordination substitution strategy. Our study shows that
the occurrence of exciton migration between the AIE linker and conjugated
auxiliary ligand Bpy causes fluorescence quenching. Time-dependent
density functional theory was employed to understand the photoinduced
electron transfer process and explain the origins of fluorescence
quenching. Using this strategy, the prepared MOF material can perform
as a fluorescence “off–on” probe for highly sensitive
detection of Al<sup>3+</sup> in aqueous media. The hydroxyl group
plays a crucial role in sensing as it can selectively chelate Al<sup>3+</sup>, which is directly related to the dissociation of nonfluorescent
MOF and consequent activation of the AIE process
Additional file 1 of A comparative study of the prevalence of myopia and behavioral changes in primary school students
Additional file 1
Additional file 4 of A comparative study of the prevalence of myopia and behavioral changes in primary school students
Additional file 4: SupplementaryTable 3.Comparison of behaviorsrelated to myopia between the twoCohorts according to ag