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Cai MR, Zhang X, Cheng ZQ, Yan TF, Dong H. Extracting double-quantum coherence in two-dimensional electronic spectroscopy under pump-probe geometry. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2024; 95:033006. [PMID: 38497835 DOI: 10.1063/5.0198255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 02/27/2024] [Indexed: 03/19/2024]
Abstract
Two-dimensional electronic spectroscopy (2DES) can be implemented with different geometries, e.g., BOXCARS, collinear, and pump-probe geometries. The pump-probe geometry has the advantage of overlapping only two beams and reducing phase cycling steps. However, its applications are typically limited to observing the dynamics with single-quantum coherence and population, leaving the challenge to measure the dynamics of the double-quantum (2Q) coherence, which reflects the many-body interactions. We demonstrate an experimental technique in 2DES under pump-probe geometry with a designed pulse sequence and the signal processing method to extract 2Q coherence. In the designed pulse sequence, with the probe pulse arriving earlier than the pump pulses, our measured signal includes the 2Q signal as well as the zero-quantum signal. With phase cycling and data processing using causality enforcement, we extract the 2Q signal. The proposal is demonstrated with rubidium atoms. We observe the collective resonances of two-body dipole-dipole interactions in both the D1 and D2 lines.
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Affiliation(s)
- Mao-Rui Cai
- Graduate School of China Academy of Engineering Physics, Beijing 100193, China
| | - Xue Zhang
- Graduate School of China Academy of Engineering Physics, Beijing 100193, China
| | - Zi-Qian Cheng
- Graduate School of China Academy of Engineering Physics, Beijing 100193, China
| | - Teng-Fei Yan
- School of Microelectronics, Shanghai University, Shanghai 200444, China
| | - Hui Dong
- Graduate School of China Academy of Engineering Physics, Beijing 100193, China
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Ge H, Sun Z, Jiang Y, Wu X, Jia Z, Cui G, Zhang Y. Recent Advances in THz Detection of Water. Int J Mol Sci 2023; 24:10936. [PMID: 37446112 DOI: 10.3390/ijms241310936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/19/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
The frequency range of terahertz waves (THz waves) is between 0.1 and 10 THz and they have properties such as low energy, penetration, transients, and spectral fingerprints, which are especially sensitive to water. Terahertz, as a frontier technology, have great potential in interpreting the structure of water molecules and detecting biological water conditions, and the use of terahertz technology for water detection is currently frontier research, which is of great significance. Firstly, this paper introduces the theory of terahertz technology and summarizes the current terahertz systems used for water detection. Secondly, an overview of theoretical approaches, such as the relaxation model and effective medium theory related to water detection, the relationship between water molecular networks and terahertz spectra, and the research progress of the terahertz detection of water content and water distribution visualization, are elaborated. Finally, the challenge and outlook of applications related to the terahertz wave detection of water are discussed. The purpose of this paper is to explore the research domains on water and its related applications using terahertz technology, as well as provide a reference for innovative applications of terahertz technology in moisture detection.
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Affiliation(s)
- Hongyi Ge
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Zhenyu Sun
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Yuying Jiang
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China
| | - Xuyang Wu
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Zhiyuan Jia
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Guangyuan Cui
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Yuan Zhang
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
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Chen PC. Multidimensional Pattern Recognition in High-Resolution 2D and 3D Spectra of Gas-Phase Molecules. Acc Chem Res 2023. [PMID: 36917781 DOI: 10.1021/acs.accounts.2c00637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
ConspectusWhen molecules transition from the condensed phase to the gas phase, their spectra undergo a dramatic transformation as well; each peak in a condensed-phase spectrum can yield thousands of peaks in the gas phase because the molecules are free to rotate and those rotational motions are quantized. These gas-phase spectra contain a wealth of detailed information about molecular structure and behavior, but peak densities are often so high that congestion obscures the patterns needed to assign peaks and extract molecular constants. This Account describes how coherent multidimensional techniques not only reduce peak densities and congestion in gas-phase spectra but also create multidimensional patterns that are easy to recognize and interpret. First, all peaks with the same vibrational quantum numbers form rotational patterns such as X's, double parabolas, and asterisks. These rotational patterns are composed of basic units and can provide immediate information about the molecule's structure, behavior, and rotational selection rules. Second, groups of these rotational patterns can be arranged into vibrational patterns that form arrays of rectangles or parallelograms. These vibrational patterns can be used to determine wave-mixing processes and measure vibrational constants. Coherent multidimensional spectroscopy therefore automatically separates vibrational and rotational information and then sorts peaks by vibrational and rotational quantum number. Furthermore, if the sample is composed of a mixture, then these patterns can also sort peaks by species, and higher-dimensional techniques can even provide the ability to select a species in the mixture. These techniques have successfully produced highly patterned 2D and 3D spectra for samples that otherwise generate patternless spectra such as isotopologue mixtures and vibronically perturbed molecules such as NO2.High densities of states can lead to congestion and perturbations that make it difficult to accurately assign peaks using the information that is traditionally available from 1D spectra: a peak's intensity and its frequency. Coherent 2D and 3D techniques are well-suited for dealing with and learning from perturbations because the coordinate of each peak in multidimensional space includes multiple frequency values. Accurate assignments are possible when peaks in 2D or 3D spectra that are perturbed along one frequency axis are unperturbed along an orthogonal frequency axis. Furthermore, patterns often repeat in adjacent rows or columns, so regions that are less congested can be used to resolve or identify key peaks or patterns in regions that are severely congested. Perturbations can make the spacings within multidimensional rotational and vibrational patterns slightly irregular, but these automatically generated patterns remain easy to recognize and analyze.This Account describes three high-resolution coherent multidimensional spectroscopy techniques, the types of patterns they can produce, and how information can be extracted from these patterns. This work is being conducted at Spelman College, a historically Black college for women where all of the students are undergraduates. The resulting techniques are not only highly effective for dealing with some of the most congested, perturbed, and challenging spectroscopic systems, but they are relatively easy to use, moderate in price to set up, and quick to run.
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Affiliation(s)
- Peter C Chen
- Department of Chemistry and Biochemistry, Spelman College, 350 Spelman Lane SW, Atlanta, Georgia 30314, United States
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Damari R, Beer A, Rosenberg D, Fleischer S. Molecular orientation echoes via concerted terahertz and near-IR excitations. OPTICS EXPRESS 2022; 30:44464-44471. [PMID: 36522870 DOI: 10.1364/oe.474024] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 10/26/2022] [Indexed: 06/17/2023]
Abstract
A new and efficient method for orientation echo spectroscopy is presented and realized experimentally. The excitation scheme utilizes concerted rotational excitations by both ultrashort terahertz and near-IR pulses and its all-optical detection is enabled by the molecular orientation-induced second harmonic method [J. Phys. Chem. A126, 3732 (2022)10.1021/acs.jpca.2c03237]. This method provides practical means for orientation echo spectroscopy of gas phase molecules and highlights the intriguing underlying physics of coherent rotational dynamics induced by judiciously-orchestrated interactions with both resonant (terahertz) and nonresonant (NIR) fields.
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Gao FY, Zhang Z, Liu ZJ, Nelson KA. High-speed two-dimensional terahertz spectroscopy with echelon-based shot-to-shot balanced detection. OPTICS LETTERS 2022; 47:3479-3482. [PMID: 35838708 DOI: 10.1364/ol.462624] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 06/15/2022] [Indexed: 05/23/2023]
Abstract
By using a reflective-echelon-based electro-optic sampling technique and a fast detector, we develop a two-dimensional terahertz (THz) spectrometer capable of shot-to-shot balanced readout of THz waveforms at a full 1-kHz repetition rate. To demonstrate the capabilities of this new detection scheme for high-throughput applications, we use gas-phase acetonitrile as a model system to acquire two-dimensional THz rotational spectra. The results show a two-order-of-magnitude speedup in the acquisition of multidimensional THz spectra when compared to conventional delay-scan methods while maintaining accurate retrieval of the nonlinear THz signal. Our report presents a feasible solution for bringing the technique of multidimensional THz spectroscopy into widespread practice.
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Stroud JR, Plusquellic DF. Difference-frequency chirped-pulse dual-comb generation in the THz region: Temporal magnification of the quantum dynamics of water vapor lines by >60 000. J Chem Phys 2022; 156:044302. [DOI: 10.1063/5.0076506] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Affiliation(s)
- Jasper R. Stroud
- Applied Physics Division, Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - David F. Plusquellic
- Applied Physics Division, Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado 80305, USA
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Shi Y, Wang J, Ndaru E, Grewer C. Pre-steady-state Kinetic Analysis of Amino Acid Transporter SLC6A14 Reveals Rapid Turnover Rate and Substrate Translocation. Front Physiol 2021; 12:777050. [PMID: 34867484 PMCID: PMC8637194 DOI: 10.3389/fphys.2021.777050] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 10/15/2021] [Indexed: 01/15/2023] Open
Abstract
SLC6A14 (solute carrier family 6 member 14) is an amino acid transporter, driven by Na+ and Cl− co-transport, whose structure, function, and molecular and kinetic mechanism have not been well characterized. Its broad substrate selectivity, including neutral and cationic amino acids, differentiates it from other SLC6 family members, and its proposed involvement in nutrient transport in several cancers suggest that it could become an important drug target. In the present study, we investigated SLC6A14 function and its kinetic mechanism after expression in human embryonic kidney (HEK293) cells, including substrate specificity and voltage dependence under various ionic conditions. We applied rapid solution exchange, voltage jumps, and laser photolysis of caged alanine, allowing sub-millisecond temporal resolution, to study SLC6A14 steady state and pre-steady state kinetics. The results highlight the broad substrate specificity and suggest that extracellular chloride enhances substrate transport but is not required for transport. As in other SLC6 family members, Na+ binding to the substrate-free transporter (or conformational changes associated with it) is electrogenic and is likely rate limiting for transporter turnover. Transient current decaying with a time constant of <1ms is also observed after rapid amino acid application, both in forward transport and homoexchange modes, indicating a slightly electrogenic, but fast and not rate-limiting substrate translocation step. Our results, which are consistent with kinetic modeling, suggest rapid transporter turnover rate and substrate translocation with faster kinetics compared with other SLC6 family members. Together, these results provided novel information on the SLC6A14 transport cycle and mechanism, expanding our understanding of SLC6A14 function.
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Affiliation(s)
- Yueyue Shi
- Department of Chemistry, Binghamton University, Binghamton, NY, United States
| | - Jiali Wang
- Department of Chemistry, Binghamton University, Binghamton, NY, United States
| | - Elias Ndaru
- Department of Chemistry, Binghamton University, Binghamton, NY, United States
| | - Christof Grewer
- Department of Chemistry, Binghamton University, Binghamton, NY, United States
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