6 research outputs found
DataSheet_3_Study on the seasonal variations of dimethyl sulfide, its precursors and their impact factors in the Bohai Sea and North Yellow Sea.zip
Dimethyl sulfide (DMS) is one of the most important volatile biogenic sulfur compounds and plays a significant role in global climate change. Studying the seasonal variations and the environmental factors that affect the concentration of DMS would aid in understanding the biogeochemical cycle of sulfur compounds. Using benzene-assisted photoionization positive ion mobility spectrometry (BAPI-PIMS), the seasonal distribution and the key impact factors of DMS and dimethylsulfoniopropionate (DMSP) in the Bohai Sea and North Yellow Sea were investigated in the summer and autumn of 2019. The concentrations of DMS and its precursors, DMSPp and DMSPd, in the surface seawater were 0.11–23.90, 0.67–41.38, and 0.03–12.28 nmol/L, respectively, in summer, and 0.10–20.79, 0.39–13.51, and 0.18–20.58 nmol/L, respectively, in autumn. The air-to-sea exchange flux of DMS was 43.05 ± 44.52 and 34.06 ± 63.38 μmol/(m·d), respectively, in summer and autumn. The results demonstrated that the temperature was the most dominant environmental factor, and the abundance of dinoflagellates was the most dominant biological factor that affected the distribution of DMS and DMSP in summer. The abundance of diatoms was the most dominant biological factor, and the levels of PO43-, NO2-, NO3-, and SiO32- were the dominant environmental factors that affected the distribution of DMS and DMSP in autumn. These results of this study would be of great significance in understanding the biochemical cycle of DMS in BS and NYS.</p
DataSheet_2_Study on the seasonal variations of dimethyl sulfide, its precursors and their impact factors in the Bohai Sea and North Yellow Sea.zip
Dimethyl sulfide (DMS) is one of the most important volatile biogenic sulfur compounds and plays a significant role in global climate change. Studying the seasonal variations and the environmental factors that affect the concentration of DMS would aid in understanding the biogeochemical cycle of sulfur compounds. Using benzene-assisted photoionization positive ion mobility spectrometry (BAPI-PIMS), the seasonal distribution and the key impact factors of DMS and dimethylsulfoniopropionate (DMSP) in the Bohai Sea and North Yellow Sea were investigated in the summer and autumn of 2019. The concentrations of DMS and its precursors, DMSPp and DMSPd, in the surface seawater were 0.11–23.90, 0.67–41.38, and 0.03–12.28 nmol/L, respectively, in summer, and 0.10–20.79, 0.39–13.51, and 0.18–20.58 nmol/L, respectively, in autumn. The air-to-sea exchange flux of DMS was 43.05 ± 44.52 and 34.06 ± 63.38 μmol/(m·d), respectively, in summer and autumn. The results demonstrated that the temperature was the most dominant environmental factor, and the abundance of dinoflagellates was the most dominant biological factor that affected the distribution of DMS and DMSP in summer. The abundance of diatoms was the most dominant biological factor, and the levels of PO43-, NO2-, NO3-, and SiO32- were the dominant environmental factors that affected the distribution of DMS and DMSP in autumn. These results of this study would be of great significance in understanding the biochemical cycle of DMS in BS and NYS.</p
DataSheet_4_Study on the seasonal variations of dimethyl sulfide, its precursors and their impact factors in the Bohai Sea and North Yellow Sea.zip
Dimethyl sulfide (DMS) is one of the most important volatile biogenic sulfur compounds and plays a significant role in global climate change. Studying the seasonal variations and the environmental factors that affect the concentration of DMS would aid in understanding the biogeochemical cycle of sulfur compounds. Using benzene-assisted photoionization positive ion mobility spectrometry (BAPI-PIMS), the seasonal distribution and the key impact factors of DMS and dimethylsulfoniopropionate (DMSP) in the Bohai Sea and North Yellow Sea were investigated in the summer and autumn of 2019. The concentrations of DMS and its precursors, DMSPp and DMSPd, in the surface seawater were 0.11–23.90, 0.67–41.38, and 0.03–12.28 nmol/L, respectively, in summer, and 0.10–20.79, 0.39–13.51, and 0.18–20.58 nmol/L, respectively, in autumn. The air-to-sea exchange flux of DMS was 43.05 ± 44.52 and 34.06 ± 63.38 μmol/(m·d), respectively, in summer and autumn. The results demonstrated that the temperature was the most dominant environmental factor, and the abundance of dinoflagellates was the most dominant biological factor that affected the distribution of DMS and DMSP in summer. The abundance of diatoms was the most dominant biological factor, and the levels of PO43-, NO2-, NO3-, and SiO32- were the dominant environmental factors that affected the distribution of DMS and DMSP in autumn. These results of this study would be of great significance in understanding the biochemical cycle of DMS in BS and NYS.</p
DataSheet_1_Study on the seasonal variations of dimethyl sulfide, its precursors and their impact factors in the Bohai Sea and North Yellow Sea.zip
Dimethyl sulfide (DMS) is one of the most important volatile biogenic sulfur compounds and plays a significant role in global climate change. Studying the seasonal variations and the environmental factors that affect the concentration of DMS would aid in understanding the biogeochemical cycle of sulfur compounds. Using benzene-assisted photoionization positive ion mobility spectrometry (BAPI-PIMS), the seasonal distribution and the key impact factors of DMS and dimethylsulfoniopropionate (DMSP) in the Bohai Sea and North Yellow Sea were investigated in the summer and autumn of 2019. The concentrations of DMS and its precursors, DMSPp and DMSPd, in the surface seawater were 0.11–23.90, 0.67–41.38, and 0.03–12.28 nmol/L, respectively, in summer, and 0.10–20.79, 0.39–13.51, and 0.18–20.58 nmol/L, respectively, in autumn. The air-to-sea exchange flux of DMS was 43.05 ± 44.52 and 34.06 ± 63.38 μmol/(m·d), respectively, in summer and autumn. The results demonstrated that the temperature was the most dominant environmental factor, and the abundance of dinoflagellates was the most dominant biological factor that affected the distribution of DMS and DMSP in summer. The abundance of diatoms was the most dominant biological factor, and the levels of PO43-, NO2-, NO3-, and SiO32- were the dominant environmental factors that affected the distribution of DMS and DMSP in autumn. These results of this study would be of great significance in understanding the biochemical cycle of DMS in BS and NYS.</p
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
Fast Switching of CO<sub>3</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub> and O<sub>2</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub> Reactant Ions in Dopant-Assisted Negative Photoionization Ion Mobility Spectrometry for Explosives Detection
Ion
mobility spectrometry (IMS) has become the most deployed technique
for on-site detection of trace explosives, and the reactant ions generated
in the ionization source are tightly related to the performances of
IMS. Combination of multiform reactant ions would provide more information
and is in favor of correct identification of explosives. Fast switchable
CO<sub>3</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub> and O<sub>2</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub> reactant ions were realized in a dopant-assisted
negative photoionization ion mobility spectrometer (DANP-IMS). The
switching could be achieved in less than 2 s by simply changing the
gas flow direction. Up to 88% of the total reactant ions were CO<sub>3</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub> in the bidirectional mode, and 89% of that were O<sub>2</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub> in
the unidirectional mode. The characteristics of combination of CO<sub>3</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub> and O<sub>2</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub> were demonstrated by the detection of explosives,
including 2,4,6-trinitrotoluene (TNT), cyclo-1,3,5-trimethylene-2,4,6-trinitramine
(RDX), ammonium nitrate fuel oil (ANFO), and black powder (BP). For
TNT, RDX, and BP, product ions with different reduced mobility values
(<i>K</i><sub>0</sub>) were observed with CO<sub>3</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub> and
O<sub>2</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub>, respectively, which is a benefit for the accurate identification.
For ANFO, the same product ions with <i>K</i><sub>0</sub> of 2.07 cm<sup>2</sup> V<sup>–1</sup> s<sup>–1</sup> were generated, but improved peak-to-peak resolution as well as
sensitivity were achieved with CO<sub>3</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub>. Moreover, an improved peak-to-peak
resolution was also obtained for BP with CO<sub>3</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub>, while the better sensitivity
was obtained with O<sub>2</sub><sup>–</sup>(H<sub>2</sub>O)<sub><i>n</i></sub>