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Zhu Y, Wang J, Zeng P, Fu C, Chen D, Jiang Y, Sun Y, Xie Z. Novel Ag-modified vanadate nanosheets for determination of small organic molecules with laser desorption ionization mass spectrometry. JOURNAL OF HAZARDOUS MATERIALS 2024; 464:132986. [PMID: 37979424 DOI: 10.1016/j.jhazmat.2023.132986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 10/26/2023] [Accepted: 11/09/2023] [Indexed: 11/20/2023]
Abstract
Laser desorption ionization mass spectrometry (LDI-MS) aroused intensive concerns for the merits of label-free and high-throughput analysis. Here, we designed a silver nanoparticles (AgNP)-modified indium vanadate nanosheets with doping samarium (AgNP@InVO4:Sm) nanosheets. The developed AgNP@InVO4:Sm nanosheets (AIVON) were synthesized based on the microemulsion-mediated solvothermal method and ultraviolet-assisted in situ formation of AgNP, then for the first time applied as a matrix in LDI-MS analysis. With the advantages including enhanced MS signal, little matrix-related background, high reproducibility, and good salt tolerance, AIVON exhibited much better prospect than non-modified indium vanadate nanosheets with doping samarium (IVON) and traditional organic matrix, thus allowing sensitive MS detection for a wide range of low-molecular-weight (LMW) molecules. Moreover, by coupling with headspace sampling thin-film microextraction (TFME), a kind of representative pollutant chlorophenols were identified and quantified via AIVON-assisted LDI-MS in environmental and biological samples. Volatile LMW pollutants could be preconcentrated after TFME, hence a sensitive and rapid assay with negligible sample matrix effect was realized by using AIVON-assisted LDI-MS. It is anticipated that this novel nano-matrix AIVON and the proposed TFME coupling detection strategy were of competitive merits for LDI-MS analysis in the fields of environment, biomedicine, and agriculture.
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Affiliation(s)
- Yanli Zhu
- School of Resources and Environment, Hunan University of Technology and Business, Changsha 410205, Hunan, PR China
| | - Jikai Wang
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Institute of Pharmacy & Pharmacology, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, PR China.
| | - Pengfei Zeng
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Institute of Pharmacy & Pharmacology, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, PR China
| | - Chengxiao Fu
- The First Affiliated Hospital, Department of Pharmacy, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, 421001 Hunan, PR China
| | - Danjun Chen
- The First Affiliated Hospital, Department of Pharmacy, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, 421001 Hunan, PR China
| | - Yuehua Jiang
- Department for Animal Husbandry & Aquaculture Products Quality Control, Hengyang Animal Husbandry and Aquaculture Affairs Center, Hengyang 421001, Hunan, PR China
| | - Yiyang Sun
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Institute of Pharmacy & Pharmacology, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, PR China
| | - Zhulan Xie
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Institute of Pharmacy & Pharmacology, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, PR China
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Angiolari F, Huppert S, Spezia R. Quantum versus classical unimolecular fragmentation rate constants and activation energies at finite temperature from direct dynamics simulations. Phys Chem Chem Phys 2022; 24:29357-29370. [PMID: 36448557 DOI: 10.1039/d2cp03809a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
In the present work, we investigate how nuclear quantum effects modify the temperature dependent rate constants and, consequently, the activation energies in unimolecular reactions. In the reactions under study, nuclear quantum effects mainly stem from the presence of a large zero point energy. Thus, we investigate the behavior of methods compatible with direct dynamics simulations, the quantum thermal bath (QTB) and ring polymer molecular dynamics (RPMD). To this end, we first compare them with quantum reaction theory for a model Morse potential before extending this comparison to molecular models. Our results show that, in particular in the temperature range comparable with or lower than the zero point energy of the system, the RPMD method is able to correctly capture nuclear quantum effects on rate constants and activation energies. On the other hand, although the QTB provides a good description of equilibrium properties including zero-point energy effects, it largely overestimates the rate constants. The origin of the different behaviours is in the different distance distributions provided by the two methods and in particular how they differently describe the tails of such distributions. The comparison with transition state theory shows that RPMD can be used to study fragmentation of complex systems for which it may be difficult to determine the multiple reaction pathways and associated transition states.
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Affiliation(s)
- Federica Angiolari
- Sorbonne Université, Laboratoire de Chimie Théorique, UMR 7616 CNRS, 4 Place Jussieu, 75005 Paris, France.
| | - Simon Huppert
- Sorbonne Université, Institut de Nanosciences de Paris, UMR 7588 CNRS, 4 Place Jussieu, 75005 Paris, France
| | - Riccardo Spezia
- Sorbonne Université, Laboratoire de Chimie Théorique, UMR 7616 CNRS, 4 Place Jussieu, 75005 Paris, France.
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Loco D, Chataigner I, Piquemal J, Spezia R. Efficient and Accurate Description of Diels-Alder Reactions Using Density Functional Theory. Chemphyschem 2022; 23:e202200349. [PMID: 35696652 PMCID: PMC9796631 DOI: 10.1002/cphc.202200349] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/11/2022] [Indexed: 01/01/2023]
Abstract
Modeling chemical reactions using Quantum Chemistry is a widely used predictive strategy capable to complement experiments in order to understand the intrinsic mechanisms guiding the chemicals towards the most favorable reaction products. However, at this purpose, it is mandatory to use reliable and computationally tractable theoretical methods. In this work, we focus on six Diels-Alder reactions of increasing complexity and perform an extensive benchmark of middle- to low-cost computational approaches to predict the characteristic reactions energy barriers. We found that Density Functional Theory, using the ωB97XD, LC-ωPBE, CAM-B3LYP, M11 and MN12SX functionals, with empirical dispersion corrections coupled to an affordable 6-31G basis set, provides quality results for this class of reactions, at a small computational effort. Such efficient and reliable simulation protocol opens perspectives for hybrid QM/MM molecular dynamics simulations of Diels-Alder reactions including explicit solvation.
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Affiliation(s)
- Daniele Loco
- Sorbonne Université, Laboratoire de Chimie ThéoriqueUMR 7616 CNRS4 Place Jussieu75005ParisFrance
- Qubit PharmaceuticalsIncubateur Paris Biotech Santé24 rue du Faubourg Saint Jacques75014ParisFrance
| | - Isabelle Chataigner
- Sorbonne Université, Laboratoire de Chimie ThéoriqueUMR 7616 CNRS4 Place Jussieu75005ParisFrance
- Normandie Univ.UNIROUENCNRS, INSA Rouen, COBRA76000RouenFrance
| | - Jean‐Philip Piquemal
- Sorbonne Université, Laboratoire de Chimie ThéoriqueUMR 7616 CNRS4 Place Jussieu75005ParisFrance
| | - Riccardo Spezia
- Sorbonne Université, Laboratoire de Chimie ThéoriqueUMR 7616 CNRS4 Place Jussieu75005ParisFrance
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Carrà A, Spezia R. In Silico
Tandem Mass Spectrometer: an Analytical and Fundamental Tool. ACTA ACUST UNITED AC 2021. [DOI: 10.1002/cmtd.202000071] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Andrea Carrà
- Agilent Technologies Italia Via Piero Gobetti 2/C 20063 Cernusco SN, Milano Italy
| | - Riccardo Spezia
- Laboratoire de Chimie Théorique Sorbonne Université, UMR 7616 CNRS 4, Place Jussieu 75005 Paris France
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