1
|
Zhong S, Guan Z, Yang F, Jiang Y, Zhao L, Wang W, Liu D, Cai W, Li Y. An Ultra-broadband Metallic Plasmonic Antenna for Ultrasensitive Molecular Fingerprint Identification. NANO LETTERS 2024; 24:6805-6812. [PMID: 38787360 DOI: 10.1021/acs.nanolett.4c01562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
Near-field enhanced mid-infrared light-matter interactions via metallic plasmonic antennae (PA) have attracted much attention but are inevitably limited by the detuning between their narrow band and the broad applied spectral range. Here, we develop a new low-temperature incubation synthetic method to acquire uniform Ag microparticles (MPs) with numerous hotspots. Their plasmonic band is remarkably extended by the plasmonic coupling of numerous hotspots and covers the entire mid-infrared range (400-4000 cm-1). Hence, the almost complete molecular fingerprint of 4-mercaptobenzonitrile was successfully probed for the first time via resonant surface-enhanced infrared absorption (rSEIRA), and the rSEIRA spectra of different essential amino acids were further detected and exhibit a high spectral identification degree assisted by machine learning. This work changes the inertia perception of "narrow band and large size but small hotspot area" of mid-infrared metallic PA and paves the way for the ultrasensitive mid-infrared optical sensing.
Collapse
Affiliation(s)
- Shichuan Zhong
- Key Lab of Materials Physics, Anhui Key Lab of Nanomaterials and Nanotechnology, Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, People's Republic of China
| | - Zeyu Guan
- University of Science and Technology of China, Hefei 230026, Anhui, People's Republic of China
| | - Fan Yang
- Tiangong University, Tianjin 300387, People's Republic of China
| | - Yong Jiang
- Tiangong University, Tianjin 300387, People's Republic of China
| | - Lixia Zhao
- Tiangong University, Tianjin 300387, People's Republic of China
| | - Wenhong Wang
- Tiangong University, Tianjin 300387, People's Republic of China
| | - Dilong Liu
- Key Lab of Materials Physics, Anhui Key Lab of Nanomaterials and Nanotechnology, Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, People's Republic of China
| | - Weiping Cai
- Key Lab of Materials Physics, Anhui Key Lab of Nanomaterials and Nanotechnology, Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, People's Republic of China
| | - Yue Li
- Key Lab of Materials Physics, Anhui Key Lab of Nanomaterials and Nanotechnology, Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, People's Republic of China
- Tiangong University, Tianjin 300387, People's Republic of China
| |
Collapse
|
2
|
Zhou H, Li D, Ren Z, Xu C, Wang LF, Lee C. Surface plasmons-phonons for mid-infrared hyperspectral imaging. SCIENCE ADVANCES 2024; 10:eado3179. [PMID: 38809968 PMCID: PMC11135386 DOI: 10.1126/sciadv.ado3179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 04/23/2024] [Indexed: 05/31/2024]
Abstract
Surface plasmons have proven their ability to boost the sensitivity of mid-infrared hyperspectral imaging by enhancing light-matter interactions. Surface phonons, a counterpart technology to plasmons, present unclear contributions to hyperspectral imaging. Here, we investigate this by developing a plasmon-phonon hyperspectral imaging system that uses asymmetric cross-shaped nanoantennas composed of stacked plasmon-phonon materials. The phonon modes within this system, controlled by light polarization, capture molecular refractive index intensity and lineshape features, distinct from those observed with plasmons, enabling more precise and sensitive molecule identification. In a deep learning-assisted imaging demonstration of severe acute respiratory syndrome coronavirus (SARS-CoV), phonons exhibit enhanced identification capabilities (230,400 spectra/s), facilitating the de-overlapping and observation of the spatial distribution of two mixed SARS-CoV spike proteins. In addition, the plasmon-phonon system demonstrates increased identification accuracy (93%), heightened sensitivity, and enhanced detection limits (down to molecule monolayers). These findings extend phonon polaritonics to hyperspectral imaging, promising applications in imaging-guided molecule screening and pharmaceutical analysis.
Collapse
Affiliation(s)
- Hong Zhou
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117583, Singapore
| | - Dongxiao Li
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117583, Singapore
| | - Zhihao Ren
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117583, Singapore
| | - Cheng Xu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117583, Singapore
| | - Lin-Fa Wang
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117583, Singapore
- NUS Suzhou Research Institute (NUSRI), Suzhou, Jiangsu 215123, China
- NUS Graduate School–Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore
| |
Collapse
|
3
|
Zhang Z, Wang Z, Zhang C, Yao Z, Zhang S, Wang R, Tian Z, Han J, Chang C, Lou J, Yan X, Qiu C. Advanced Terahertz Refractive Sensing And Fingerprint Recognition Through Metasurface-Excited Surface Waves. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2308453. [PMID: 38180283 DOI: 10.1002/adma.202308453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 12/27/2023] [Indexed: 01/06/2024]
Abstract
High-sensitive metasurface-based sensors are essential for effective substance detection and insightful bio-interaction studies, which compress light in subwavelength volumes to enhance light-matter interactions. However, current methods to improve sensing performance always focus on optimizing near-field response of individual meta-atom, and fingerprint recognition for bio-substances necessitates several pixelated metasurfaces to establish a quasi-continuous spectrum. Here, a novel sensing strategy is proposed to achieve Terahertz (THz) refractive sensing, and fingerprint recognition based on surface waves (SWs). Leveraging the long-range transmission, strong confinement, and interface sensitivity of SWs, a metasurface-supporting SWs excitation and propagation is experimentally verified to achieve sensing integrations. Through wide-band information collection of SWs, the proposed sensor not only facilitates refractive sensing up to 215.5°/RIU, but also enables the simultaneous resolution of multiple fingerprint information within a continuous spectrum. By covering 5 µm thickness of polyimide, quartz and silicon nitride layers, the maximum phase change of 91.1°, 101.8°, and 126.4° is experimentally obtained within THz band, respectively. Thus, this strategy broadens the research scope of metasurface-excited SWs and introduces a novel paradigm for ultrasensitive sensing functions.
Collapse
Affiliation(s)
- Zeyan Zhang
- School of Physics, Peking University, Beijing, 100871, China
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, 100071, China
| | - Zhuo Wang
- State Key Laboratory of Surface Physics and Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, 200433, China
| | - Chao Zhang
- Department of Neurosurgery Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Zhibo Yao
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Key Laboratory of Optoelectronic Information Technology (Ministry of Education of China), Tianjin University, Tianjin, 300072, China
| | - Shoujun Zhang
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Key Laboratory of Optoelectronic Information Technology (Ministry of Education of China), Tianjin University, Tianjin, 300072, China
| | - Ride Wang
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, 100071, China
| | - Zhen Tian
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Key Laboratory of Optoelectronic Information Technology (Ministry of Education of China), Tianjin University, Tianjin, 300072, China
| | - Jiaguang Han
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Key Laboratory of Optoelectronic Information Technology (Ministry of Education of China), Tianjin University, Tianjin, 300072, China
| | - Chao Chang
- School of Physics, Peking University, Beijing, 100871, China
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, 100071, China
| | - Jing Lou
- Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, 100071, China
| | - Xueqing Yan
- School of Physics, Peking University, Beijing, 100871, China
| | - Chengwei Qiu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
| |
Collapse
|
4
|
Richter FU, Sinev I, Zhou S, Leitis A, Oh SH, Tseng ML, Kivshar Y, Altug H. Gradient High-Q Dielectric Metasurfaces for Broadband Sensing and Control of Vibrational Light-Matter Coupling. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2314279. [PMID: 38511549 DOI: 10.1002/adma.202314279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/13/2024] [Indexed: 03/22/2024]
Abstract
Surface-enhanced infrared absorption spectroscopy (SEIRA) has emerged as a powerful technique for ultrasensitive chemical-specific analysis. SEIRA can be realized by employing metasurfaces that can enhance light-matter interactions in the spectral bands of molecular vibrations. Increasing sample complexity emphasizes the need for metasurfaces that can operate simultaneously at different spectral bands, both accessing rich spectral information over a broad band, and resolving subtle differences in the absorption fingerprints through narrow-band resonances. Here, a novel concept of resonance-gradient metasurfaces is introduced, where the required spectral selectivity is achieved via local high-quality-factor (high-Q) resonances, while the continuous coverage of a broad band is enabled by the gradual adjustment of the unit-cell dimensions along the planar structure. The highly tailorable design of the gradient metasurfaces provides flexibility for shaping the spectral sampling density to match the relevant bands of target analytes while keeping a compact device footprint. The versatility of the gradient metasurfaces is demonstrated through several sensing scenarios, including polymer mixture deconvolution, detecting a multistep bioassay, and identification of the onset of vibrational strong coupling regime. The proposed gradient-resonance platform significantly contributes to the rapidly evolving landscape of nonlocal metasurfaces, enabling applications in molecular detection and analysis of fundamental light-matter interaction phenomena.
Collapse
Affiliation(s)
- Felix Ulrich Richter
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, 1015, Switzerland
| | - Ivan Sinev
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, 1015, Switzerland
| | - Senlu Zhou
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, 1015, Switzerland
| | - Aleksandrs Leitis
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, 1015, Switzerland
| | - Sang-Hyun Oh
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Ming Lun Tseng
- Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan
| | - Yuri Kivshar
- Nonlinear Physics Center, Research School of Physics, Australian National University, Canberra, ACT 2601, Australia
| | - Hatice Altug
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, 1015, Switzerland
| |
Collapse
|
5
|
Xu X, Li G, Xue L, Dong S, Luo J, Cao Z. Microfluidic devices integrated with plasmonic nanostructures for sensitive fluorescent immunoassays. BIOMICROFLUIDICS 2024; 18:011303. [PMID: 38362304 PMCID: PMC10869169 DOI: 10.1063/5.0174653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/20/2024] [Indexed: 02/17/2024]
Abstract
The robust identification and quantification of various biomarkers is of utmost significance in clinical diagnostics and precision medicine. Fluorescent immunoassays are widely used and considered as a gold standard for biomarker detection due to their high specificity and accuracy. However, current commercial immunoassay tests suffer from limited detection sensitivity and complicated, labor-intensive operation procedures, making them impractical for point-of-care diagnosis, particularly in resource-limited regions. Recently, microfluidic immunoassay devices integrated with plasmonic nanostructures have emerged as a powerful tool for sensitive detection of biomarkers, addressing specific issues, such as integration schemes, easy operation, multiplexed detection, and sensitivity enhancement. In this paper, we provide a discussion on the recent advances in the plasmonic nanostructures integrated with microfluidic devices for fluorescent immunoassays. We shed light on the nanofabrication strategies and various fluidic designs for rapid, sensitive, and highly efficient sensing of antigens. Finally, we share our perspectives on the potential directions of these integrated devices for practical applications.
Collapse
Affiliation(s)
| | - Guangyang Li
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, People’s Republic of China
| | - Lingyue Xue
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, People’s Republic of China
| | | | | | - Zhen Cao
- Author to whom correspondence should be addressed:
| |
Collapse
|
6
|
Sánchez-Alvarado AB, Zhou J, Jin P, Neumann O, Senftle TP, Nordlander P, Halas NJ. Combined Surface-Enhanced Raman and Infrared Absorption Spectroscopies for Streamlined Chemical Detection of Polycyclic Aromatic Hydrocarbon-Derived Compounds. ACS NANO 2023; 17:25697-25706. [PMID: 38063501 DOI: 10.1021/acsnano.3c10746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) constitute a class of universally prevalent carcinogenic environmental contaminants. It is increasingly recognized, however, that PAHs derivatized with oxygen, sulfur, or nitrogen functional groups are frequently more dangerous than their unfunctionalized counterparts. This much larger family of chemicals─polycyclic aromatic compounds─PACs─is far less well characterized than PAHs. Using surface-enhanced Raman and IR Absorption spectroscopies (SERS + SEIRA) combined on a single substrate, along with density functional theoretical (DFT) calculations, we show that direct chemical detection and identification of PACs at sub-parts-per-billion concentration can be achieved. Focusing our studies on 9,10-anthraquinone, 5,12-tetracenequinone, 9-nitroanthracene, and 1-nitropyrene as model PAC contaminants, detection is made possible by incorporating a hydroxy-functionalized self-assembled monolayer that facilitates hydrogen bonding between analytes and the SERS + SEIRA substrate. 5,12-Tetracenequinone was detected at 0.3 ppb, and the limit of detection was determined to be 0.1 ppb using SEIRA alone. This approach is straightforwardly extendable to other families of analytes and will ultimately facilitate fieldable chemical detection of these dangerous yet largely overlooked environmental contaminants.
Collapse
Affiliation(s)
- Andrés B Sánchez-Alvarado
- Department of Chemistry, Rice University, Houston, Texas 77005, United States
- Laboratory for Nanophotonics, Rice University, Houston, Texas 77005, United States
| | - Jingyi Zhou
- Department of Materials Science and Nanoengineering, Rice University, Houston, Texas 77005, United States
- Laboratory for Nanophotonics, Rice University, Houston, Texas 77005, United States
| | - Peixuan Jin
- Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77005, United States
| | - Oara Neumann
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States
- Laboratory for Nanophotonics, Rice University, Houston, Texas 77005, United States
| | - Thomas P Senftle
- Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77005, United States
| | - Peter Nordlander
- Department of Materials Science and Nanoengineering, Rice University, Houston, Texas 77005, United States
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, United States
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States
- Laboratory for Nanophotonics, Rice University, Houston, Texas 77005, United States
| | - Naomi J Halas
- Department of Chemistry, Rice University, Houston, Texas 77005, United States
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, United States
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States
- Laboratory for Nanophotonics, Rice University, Houston, Texas 77005, United States
| |
Collapse
|
7
|
Zhou H, Ren Z, Li D, Xu C, Mu X, Lee C. Dynamic construction of refractive index-dependent vibrations using surface plasmon-phonon polaritons. Nat Commun 2023; 14:7316. [PMID: 37952033 PMCID: PMC10640644 DOI: 10.1038/s41467-023-43127-z] [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: 08/08/2023] [Accepted: 11/01/2023] [Indexed: 11/14/2023] Open
Abstract
One of the fundamental hurdles in infrared spectroscopy is the failure of molecular identification when their infrared vibrational fingerprints overlap. Refractive index (RI) is another intrinsic property of molecules associated with electronic polarizability, but with limited contribution to molecular identification in mixed environments currently. Here, we investigate the coupling mode of localized surface plasmon and surface phonon polaritons for vibrational de-overlapping. The coupling mode is sensitive to the molecular refractive index, attributed to the RI-induced vibrational variations of surface phonon polaritons (SPhP) within the Reststrahlen band, referred to as RI-dependent SPhP vibrations. The RI-dependent SPhP vibrations are linked to molecular RI features. According to the deep-learning-augmented demonstration of bond-breaking-bond-making dynamic profiling in biological reaction, we substantiate that the RI-dependent SPhP vibrations effectively disentangle overlapping vibrational modes, achieving a 92% identification accuracy even for the strongly overlapping vibrational modes in the reaction. Our findings offer insights into the realm of light-matter interaction and provide a valuable toolkit for biomedicine applications.
Collapse
Affiliation(s)
- Hong Zhou
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore, 117583, Singapore
| | - Zhihao Ren
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore, 117583, Singapore
| | - Dongxiao Li
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore, 117583, Singapore
| | - Cheng Xu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore, 117583, Singapore
| | - Xiaojing Mu
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, P. R. China.
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore, 117583, Singapore.
- NUS Suzhou Research Institute (NUSRI), Suzhou, Jiangsu, 215123, China.
- NUS Graduate School-Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, 119077, Singapore.
| |
Collapse
|