1
|
Yang Y, Cui J, Luo D, Murray J, Chen X, Hülck S, Tripp RA, Zhao Y. Rapid Detection of SARS-CoV-2 Variants Using an Angiotensin-Converting Enzyme 2-Based Surface-Enhanced Raman Spectroscopy Sensor Enhanced by CoVari Deep Learning Algorithms. ACS Sens 2024; 9:3158-3169. [PMID: 38843447 PMCID: PMC11217934 DOI: 10.1021/acssensors.4c00488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 05/11/2024] [Accepted: 05/20/2024] [Indexed: 06/29/2024]
Abstract
An integrated approach combining surface-enhanced Raman spectroscopy (SERS) with a specialized deep learning algorithm to rapidly and accurately detect and quantify SARS-CoV-2 variants is developed based on an angiotensin-converting enzyme 2 (ACE2)-functionalized AgNR@SiO2 array SERS sensor. SERS spectra with concentrations of different variants were collected using a portable Raman system. After appropriate spectral preprocessing, a deep learning algorithm, CoVari, is developed to predict both the viral variant species and concentrations. Using a 10-fold cross-validation strategy, the model achieves an average accuracy of 99.9% in discriminating between different virus variants and R2 values larger than 0.98 for quantifying viral concentrations of the three viruses, demonstrating the high quality of the detection. The limit of detection of the ACE2 SERS sensor is determined to be 10.472, 11.882, and 21.591 PFU/mL for SARS-CoV-2, SARS-CoV-2 B1, and CoV-NL63, respectively. The feature importance of virus classification and concentration regression in the CoVari algorithm are calculated based on a permutation algorithm, which showed a clear correlation to the biochemical origins of the spectra or spectral changes. In an unknown specimen test, classification accuracy can achieve >90% for concentrations larger than 781 PFU/mL, and the predicted concentrations consistently align with actual values, highlighting the robustness of the proposed algorithm. Based on the CoVari architecture and the output vector, this algorithm can be generalized to predict both viral variant species and concentrations simultaneously for a broader range of viruses. These results demonstrate that the SERS + CoVari strategy has the potential for rapid and quantitative detection of virus variants and potentially point-of-care diagnostic platforms.
Collapse
Affiliation(s)
- Yanjun Yang
- Department
of Physics and Astronomy, The University
of Georgia, Athens, Georgia 30602, United States
| | - Jiaheng Cui
- School
of Electrical and Computer Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, United States
| | - Dan Luo
- Department
of Statistics, The University of Georgia, Athens, Georgia 30602, United States
| | - Jackelyn Murray
- Department
of Infectious Diseases, College of Veterinary Medicine, The University of Georgia, Athens, Georgia 30602, United States
| | - Xianyan Chen
- Department
of Epidemiology & Biostatistics, College of Public Health, The University of Georgia, Athens, Georgia 30602, United States
| | | | - Ralph A. Tripp
- Department
of Infectious Diseases, College of Veterinary Medicine, The University of Georgia, Athens, Georgia 30602, United States
| | - Yiping Zhao
- Department
of Physics and Astronomy, The University
of Georgia, Athens, Georgia 30602, United States
| |
Collapse
|
2
|
Kim YJ, Min J. Advances in nanobiosensors during the COVID-19 pandemic and future perspectives for the post-COVID era. NANO CONVERGENCE 2024; 11:3. [PMID: 38206526 PMCID: PMC10784265 DOI: 10.1186/s40580-023-00410-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024]
Abstract
The unprecedented threat of the highly contagious virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes exponentially increased infections of coronavirus disease 2019 (COVID-19), highlights the weak spots of the current diagnostic toolbox. In the midst of catastrophe, nanobiosensors offer a new opportunity as an alternative tool to fill a gap among molecular tests, rapid antigen tests, and serological tests. Nanobiosensors surpass the potential of antigen tests because of their enhanced sensitivity, thus enabling us to see antigens as stable and easy-to-access targets. During the first three years of the COVID-19 pandemic, a substantial number of studies have reported nanobiosensors for the detection of SARS-CoV-2 antigens. The number of articles on nanobiosensors and SARS-CoV-2 exceeds the amount of nanobiosensor research on detecting previous infectious diseases, from influenza to SARS-CoV and MERS-CoV. This unprecedented publishing pace also implies the significance of SARS-CoV-2 and the present pandemic. In this review, 158 studies reporting nanobiosensors for detecting SARS-CoV-2 antigens are collected to discuss the current challenges of nanobiosensors using the criteria of point-of-care (POC) diagnostics along with COVID-specific issues. These advances and lessons during the pandemic pave the way for preparing for the post-COVID era and potential upcoming infectious diseases.
Collapse
Affiliation(s)
- Young Jun Kim
- School of Integrative Engineering, Chung-Ang University, Heukseok-Dong, Dongjak-Gu, Seoul, 06974, Republic of Korea
| | - Junhong Min
- School of Integrative Engineering, Chung-Ang University, Heukseok-Dong, Dongjak-Gu, Seoul, 06974, Republic of Korea.
| |
Collapse
|
3
|
Zhou L, Vestri A, Marchesano V, Rippa M, Sagnelli D, Picazio G, Fusco G, Han J, Zhou J, Petti L. The Label-Free Detection and Identification of SARS-CoV-2 Using Surface-Enhanced Raman Spectroscopy and Principal Component Analysis. BIOSENSORS 2023; 13:1014. [PMID: 38131774 PMCID: PMC10741931 DOI: 10.3390/bios13121014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/24/2023] [Accepted: 12/03/2023] [Indexed: 12/23/2023]
Abstract
The World Health Organization (WHO) declared in a May 2023 announcement that the COVID-19 illness is no longer categorized as a Public Health Emergency of International Concern (PHEIC); nevertheless, it is still considered an actual threat to world health, social welfare and economic stability. Consequently, the development of a convenient, reliable and affordable approach for detecting and identifying SARS-CoV-2 and its emerging new variants is crucial. The fingerprint and signal amplification characteristics of surface-enhanced Raman spectroscopy (SERS) could serve as an assay scheme for SARS-CoV-2. Here, we report a machine learning-based label-free SERS technique for the rapid and accurate detection and identification of SARS-CoV-2. The SERS spectra collected from samples of four types of coronaviruses on gold nanoparticles film, fabricated using a Langmuir-Blodgett self-assembly, can provide more spectroscopic signatures of the viruses and exhibit low limits of detection (<100 TCID50/mL or even <10 TCID50/mL). Furthermore, the key Raman bands of the SERS spectra were systematically captured by principal component analysis (PCA), which effectively distinguished SARS-CoV-2 and its variant from other coronaviruses. These results demonstrate that the combined use of SERS technology and PCA analysis has great potential for the rapid analysis and discrimination of multiple viruses and even newly emerging viruses without the need for a virus-specific probe.
Collapse
Affiliation(s)
- Lu Zhou
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China;
| | - Ambra Vestri
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Valentina Marchesano
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Massimo Rippa
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Domenico Sagnelli
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Gerardo Picazio
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, 80055 Portici, Italy; (G.P.); (G.F.)
| | - Giovanna Fusco
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, 80055 Portici, Italy; (G.P.); (G.F.)
| | - Jiaguang Han
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China;
| | - Jun Zhou
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo 315211, China
| | - Lucia Petti
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| |
Collapse
|
4
|
Payne TD, Klawa SJ, Jian T, Wang Q, Kim SH, Freeman R, Schultz ZD. From the lab to the field: handheld surface enhanced Raman spectroscopy (SERS) detection of viral proteins. SENSORS & DIAGNOSTICS 2023; 2:1483-1491. [PMID: 38013762 PMCID: PMC10633093 DOI: 10.1039/d3sd00111c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 07/28/2023] [Indexed: 11/29/2023]
Abstract
Translating sensors from the lab benchtop to a readily available point-of-need setting is desirable for many fields, including medicine, agriculture, and industry. However, this transition generally suffers from loss of sensitivity, high background signals, and other issues which can impair reproducibility. Here we adapt a label-free surface-enhanced Raman spectroscopy (SERS) sensor for SARS-CoV-2 antigens from a lab-based assay to a handheld device. Utilizing a peptide capture molecule, which we previously employed for a surface-based assay, we optimize a simpler and more cost-efficient nanoparticle-based assay. This new assay allows for the direct detection of these viral antigens by SERS, now with the advantages of robustness and portability. We highlight considerations for nanoparticle modification conditions and warn against methods which can interfere with accurate detection. The comparison of these two assays will help guide further development of SERS-based sensors into devices that can be easily used in point-of-care settings, such as by emergency room nurses, farmers, or quality control technicians.
Collapse
Affiliation(s)
- Taylor D Payne
- Department of Chemistry and Biochemistry, The Ohio State University Columbus Ohio 43210 USA
| | - Stephen J Klawa
- Department of Applied Physical Sciences, University of North Carolina Chapel Hill North Carolina 27599 USA
| | - Tengyue Jian
- Department of Applied Physical Sciences, University of North Carolina Chapel Hill North Carolina 27599 USA
| | - Qunzhao Wang
- Department of Applied Physical Sciences, University of North Carolina Chapel Hill North Carolina 27599 USA
| | - Sang Hoon Kim
- Department of Applied Physical Sciences, University of North Carolina Chapel Hill North Carolina 27599 USA
| | - Ronit Freeman
- Department of Applied Physical Sciences, University of North Carolina Chapel Hill North Carolina 27599 USA
| | - Zachary D Schultz
- Department of Chemistry and Biochemistry, The Ohio State University Columbus Ohio 43210 USA
| |
Collapse
|
5
|
Zhang Y, Song Y, Weng Z, Yang J, Avery L, Dieckhaus KD, Lai RY, Gao X, Zhang Y. A point-of-care microfluidic biosensing system for rapid and ultrasensitive nucleic acid detection from clinical samples. LAB ON A CHIP 2023; 23:3862-3873. [PMID: 37539483 DOI: 10.1039/d3lc00372h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Rapid and ultrasensitive point-of-care RNA detection plays a critical role in the diagnosis and management of various infectious diseases. The gold-standard detection method of reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is ultrasensitive and accurate yet limited by the lengthy turnaround time (1-2 days). On the other hand, an antigen test offers rapid at-home detection (typically ~15 min) but suffers from low sensitivity and high false-negative rates. An ideal point-of-care diagnostic device would combine the merits of PCR-level sensitivity and rapid sample-to-result workflow comparable to antigen testing. However, the existing detection platforms typically possess superior sensitivity or rapid sample-to-result time, but not both. This paper reports a point-of-care microfluidic device that offers ultrasensitive yet rapid detection of viral RNA from clinical samples. The device consists of a microfluidic chip for precisely manipulating small volumes of samples, a miniaturized heater for viral lysis and ribonuclease inactivation, a Cas13a-electrochemical sensor for target preamplification-free and ultrasensitive RNA detection, and a smartphone-compatible potentiostat for data acquisition. As demonstrations, the devices achieve the detection of heat-inactivated SARS-CoV-2 samples with a limit of detection down to 10 aM within 25 minutes, which is comparable to the sensitivity of RT-PCR and rapidness of an antigen test. The platform also successfully distinguishes all nine positive unprocessed clinical SARS-CoV-2 nasopharyngeal swab samples from four negative samples within 25 minutes of sample-to-result time. Together, this device provides a point-of-care solution that can be deployed in diverse settings beyond laboratory environments for rapid and accurate detection of RNA from clinical samples. The device can potentially be expandable to detect other viral targets, such as human immunodeficiency virus self-testing and Zika virus, where rapid and ultrasensitive point-of-care detection is required.
Collapse
Affiliation(s)
- Yuxuan Zhang
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Yang Song
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Zhengyan Weng
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Jie Yang
- Department of Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005, USA
| | - Lori Avery
- Department of Pathology and Laboratory Medicine, UConn Health, Farmington, CT 06030, USA
| | - Kevin D Dieckhaus
- Division of Infectious Diseases, Department of Medicine, UConn Health, Farmington, CT 06030, USA
| | - Rebecca Y Lai
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
| | - Xue Gao
- Department of Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005, USA
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
- Department of Chemistry, Rice University, Houston, TX 77005, USA
| | - Yi Zhang
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| |
Collapse
|
6
|
You L, Zhong B, Huang C, Li J, Zheng Z, Wang Y. Magnetic polyphosphazene@Au particles as substrates for multiple-detection of immunoproteins by surface-enhanced Raman spectroscopy. J Colloid Interface Sci 2023; 648:1006-1014. [PMID: 37336092 DOI: 10.1016/j.jcis.2023.06.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 05/29/2023] [Accepted: 06/09/2023] [Indexed: 06/21/2023]
Abstract
Au coated magnetic polyphosphazene (MPCTP) composite particles (MPCTP@Au) were fabricated with sensitive SERS activity. The MPCTP particles were generated by coating polyphosphazene on Fe3O4 nanoparticles through precipitation polycondensation of hexachlorocyclotriphosphazene and phloroglucinol. MPCTP@Au composite particles were obtained by deposition of Au nanoparticles on MPCTP by the reduction of HAuCl4. The size and the thickness of the Au shell can be controlled by varying the amount of HAuCl4. The magnetic core endowed the composite particles with good magnetic responsiveness, which allowed the analyte to be enriched and separated from the complex matrix, and significantly simplifying the sample pretreatment procedure. The SERS activity of MPCTP@Au composite particles were evaluated by DTNB as model Raman reporter, and the limits of detection (LOD) of DTNB was 10-8 mol/L. A high efficient SERS immunoassay system based on the MPCTP@Au substrates for the detection of immunoproteins was developed. Human IgG and rabbit IgG were quantitatively determinated simultaneously by this immunoassay system. The quantitative determination of the immunoglobulin G (IgG) was achieved and the LOD of human IgG, rabbit IgG and the mixture of human IgG and rabbit IgG were as low as 10 fg/mL, 100 pg/mL and 1 ng/mL, respectively. The results showed that the MPCTP@Au composite particles have broad application prospects as high performance SERS active substrates for immunoprotein analysis.
Collapse
Affiliation(s)
- Lijun You
- College of Biological Science and Engineering, Fuzhou University, Fuzhou 350116, China.
| | - Baohua Zhong
- College of Biological Science and Engineering, Fuzhou University, Fuzhou 350116, China
| | - Ci Huang
- College of Biological Science and Engineering, Fuzhou University, Fuzhou 350116, China
| | - Jumei Li
- School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430205, China
| | - Zhijuan Zheng
- College of Biological Science and Engineering, Fuzhou University, Fuzhou 350116, China
| | - Yang Wang
- College of Biological Science and Engineering, Fuzhou University, Fuzhou 350116, China
| |
Collapse
|
7
|
Zhang Q, Zhao L, Qi G, Zhang X, Tian C. Raman and fourier transform infrared spectroscopy techniques for detection of coronavirus (COVID-19): a mini review. Front Chem 2023; 11:1193030. [PMID: 37273513 PMCID: PMC10232992 DOI: 10.3389/fchem.2023.1193030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/01/2023] [Indexed: 06/06/2023] Open
Abstract
Coronavirus pandemic has been a huge jeopardy to human health in various systems since it outbroke, early detection and prevention of further escalation has become a priority. The current popular approach is to collect samples using the nasopharyngeal swab method and then test for RNA using the real-time polymerase chain reaction, which suffers from false-positive results and a longer diagnostic time scale. Alternatively, various optical techniques, namely, optical sensing, spectroscopy, and imaging shows a great promise in virus detection. In this mini review, we briefly summarize the development progress of vibrational spectroscopy techniques and its applications in the detection of SARS-CoV family. Vibrational spectroscopy techniques such as Raman spectroscopy and infrared spectroscopy received increasing appreciation in bio-analysis for their speediness, accuracy and cost-effectiveness in detection of SARS-CoV. Further, an account of emerging photonics technologies of SARS-CoV-2 detection and future possibilities is also explained. The progress in the field of vibrational spectroscopy techniques for virus detection unambiguously show a great promise in the development of rapid photonics-based devices for COVID-19 detection.
Collapse
Affiliation(s)
- Qiuqi Zhang
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Lei Zhao
- Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Collaborative Innovation Center of Tumor Marker Detection Technology, Equipment and Diagnosis-Therapy Integration in Universities of Shandong, College of Chemistry and Chemical Engineering, Linyi University, Linyi, China
| | - Guoliang Qi
- Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Collaborative Innovation Center of Tumor Marker Detection Technology, Equipment and Diagnosis-Therapy Integration in Universities of Shandong, College of Chemistry and Chemical Engineering, Linyi University, Linyi, China
| | - Xiaoru Zhang
- Key Laboratory of Optic-Electric Sensing and Analytical Chemistry for Life Science, MOE, Shandong Key Laboratory of Biochemical Analysis and College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, China
| | - Cheng Tian
- Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Collaborative Innovation Center of Tumor Marker Detection Technology, Equipment and Diagnosis-Therapy Integration in Universities of Shandong, College of Chemistry and Chemical Engineering, Linyi University, Linyi, China
| |
Collapse
|
8
|
Lin C, Li Y, Peng Y, Zhao S, Xu M, Zhang L, Huang Z, Shi J, Yang Y. Recent development of surface-enhanced Raman scattering for biosensing. J Nanobiotechnology 2023; 21:149. [PMID: 37149605 PMCID: PMC10163864 DOI: 10.1186/s12951-023-01890-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 04/10/2023] [Indexed: 05/08/2023] Open
Abstract
Surface-Enhanced Raman Scattering (SERS) technology, as a powerful tool to identify molecular species by collecting molecular spectral signals at the single-molecule level, has achieved substantial progresses in the fields of environmental science, medical diagnosis, food safety, and biological analysis. As deepening research is delved into SERS sensing, more and more high-performance or multifunctional SERS substrate materials emerge, which are expected to push Raman sensing into more application fields. Especially in the field of biological analysis, intrinsic and extrinsic SERS sensing schemes have been widely used and explored due to their fast, sensitive and reliable advantages. Herein, recent developments of SERS substrates and their applications in biomolecular detection (SARS-CoV-2 virus, tumor etc.), biological imaging and pesticide detection are summarized. The SERS concepts (including its basic theory and sensing mechanism) and the important strategies (extending from nanomaterials with tunable shapes and nanostructures to surface bio-functionalization by modifying affinity groups or specific biomolecules) for improving SERS biosensing performance are comprehensively discussed. For data analysis and identification, the applications of machine learning methods and software acquisition sources in SERS biosensing and diagnosing are discussed in detail. In conclusion, the challenges and perspectives of SERS biosensing in the future are presented.
Collapse
Affiliation(s)
- Chenglong Lin
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai, 200050, People's Republic of China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing, 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Yanyan Li
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai, 200050, People's Republic of China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing, 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Yusi Peng
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai, 200050, People's Republic of China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing, 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Shuai Zhao
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai, 200050, People's Republic of China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing, 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Meimei Xu
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai, 200050, People's Republic of China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing, 100049, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Lingxia Zhang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai, 200050, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Zhengren Huang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai, 200050, People's Republic of China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China.
| | - Jianlin Shi
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai, 200050, People's Republic of China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China
| | - Yong Yang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai, 200050, People's Republic of China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China.
| |
Collapse
|
9
|
Schorr HC, Schultz ZD. Chemical conjugation to differentiate monosaccharides by Raman and surface enhanced Raman spectroscopy. Analyst 2023; 148:2035-2044. [PMID: 36974935 PMCID: PMC10167912 DOI: 10.1039/d2an01762h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
Sugars play important roles in numerous biological processes, from providing energy to modifying proteins to alter their function. Glycosylation, the attachment of a sugar residue to a protein, is the most common post translational modification. Identifying the glycans on a protein is a useful tool both for pharmaceutical development as well as probing the proteome and glycome further. Sugars, however, are difficult analytes to probe due to their isomeric nature. In this work, Raman spectroscopy and surface enhanced Raman spectroscopy (SERS) are used to identify different monosaccharide species based on the vibrational modes of these isomeric analytes. The weak scattering of the sugars was overcome through conjugation with phenylboronic acid to provide a larger Raman scattering cross section and induce slight changes in the observed spectra associated with the structure of the monosaccharides. Spontaneous Raman, SERS in flow, and static SERS detection were performed in order to discriminate between arabinose, fructose, galactose, glucose, mannose, and ribose, as well as provide a method for identification and quantification for these sugar conjugates.
Collapse
Affiliation(s)
- Hannah C Schorr
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, USA.
| | - Zachary D Schultz
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, USA.
| |
Collapse
|
10
|
Ansah IB, Leming M, Lee SH, Yang JY, Mun C, Noh K, An T, Lee S, Kim DH, Kim M, Im H, Park SG. Label-free detection and discrimination of respiratory pathogens based on electrochemical synthesis of biomaterials-mediated plasmonic composites and machine learning analysis. Biosens Bioelectron 2023; 227:115178. [PMID: 36867960 PMCID: PMC10165532 DOI: 10.1016/j.bios.2023.115178] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 03/05/2023]
Abstract
Seasonal outbreaks of respiratory viral infections remain a global concern, with increasing morbidity and mortality rates recorded annually. Timely and false responses contribute to the widespread of respiratory pathogenic diseases owing to similar symptoms at an early stage and subclinical infection. The prevention of emerging novel viruses and variants is also a big challenge. Reliable point-of-care diagnostic assays for early infection diagnosis play a critical role in the response to threats of epidemics or pandemics. We developed a facile method for specifically identifying different viruses based on surface-enhanced Raman spectroscopy (SERS) with pathogen-mediated composite materials on Au nanodimple electrodes and machine learning (ML) analyses. Virus particles were trapped in three-dimensional plasmonic concave spaces of the electrode via electrokinetic preconcentration, and Au films were simultaneously electrodeposited, leading to the acquisition of intense and in-situ SERS signals from the Au-virus composites for ultrasensitive SERS detection. The method was useful for rapid detection analysis (<15 min), and the ML analysis for specific identification of eight virus species, including human influenza A viruses (i.e., H1N1 and H3N2 strains), human rhinovirus, and human coronavirus, was conducted. The highly accurate classification was achieved using the principal component analysis-support vector machine (98.9%) and convolutional neural network (93.5%) models. This ML-associated SERS technique demonstrated high feasibility for direct multiplex detection of different virus species for on-site applications.
Collapse
Affiliation(s)
- Iris Baffour Ansah
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea; Advanced Materials Engineering Division, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea
| | - Matthew Leming
- Center for Systems Biology (CSB), Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Soo Hyun Lee
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea
| | - Jun-Yeong Yang
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea
| | - ChaeWon Mun
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea
| | - Kyungseob Noh
- Infectious Diseases Therapeutic Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon, 34114, Republic of Korea; Graduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Timothy An
- Infectious Diseases Therapeutic Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon, 34114, Republic of Korea; Graduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Seunghun Lee
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea
| | - Dong-Ho Kim
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea; Advanced Materials Engineering Division, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea
| | - Meehyein Kim
- Infectious Diseases Therapeutic Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon, 34114, Republic of Korea; Graduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, 34134, Republic of Korea.
| | - Hyungsoon Im
- Center for Systems Biology (CSB), Massachusetts General Hospital, Boston, MA, 02114, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.
| | - Sung-Gyu Park
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, Republic of Korea.
| |
Collapse
|
11
|
Taha BA, Al Mashhadany Y, Al-Jubouri Q, Rashid ARBA, Luo Y, Chen Z, Rustagi S, Chaudhary V, Arsad N. Next-generation nanophotonic-enabled biosensors for intelligent diagnosis of SARS-CoV-2 variants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163333. [PMID: 37028663 PMCID: PMC10076079 DOI: 10.1016/j.scitotenv.2023.163333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 04/02/2023] [Indexed: 04/15/2023]
Abstract
Constantly mutating SARS-CoV-2 is a global concern resulting in COVID-19 infectious waves from time to time in different regions, challenging present-day diagnostics and therapeutics. Early-stage point-of-care diagnostic (POC) biosensors are a crucial vector for the timely management of morbidity and mortalities caused due to COVID-19. The state-of-the-art SARS-CoV-2 biosensors depend upon developing a single platform for its diverse variants/biomarkers, enabling precise detection and monitoring. Nanophotonic-enabled biosensors have emerged as 'one platform' to diagnose COVID-19, addressing the concern of constant viral mutation. This review assesses the evolution of current and future variants of the SARS-CoV-2 and critically summarizes the current state of biosensor approaches for detecting SARS-CoV-2 variants/biomarkers employing nanophotonic-enabled diagnostics. It discusses the integration of modern-age technologies, including artificial intelligence, machine learning and 5G communication with nanophotonic biosensors for intelligent COVID-19 monitoring and management. It also highlights the challenges and potential opportunities for developing intelligent biosensors for diagnosing future SARS-CoV-2 variants. This review will guide future research and development on nano-enabled intelligent photonic-biosensor strategies for early-stage diagnosing of highly infectious diseases to prevent repeated outbreaks and save associated human mortalities.
Collapse
Affiliation(s)
- Bakr Ahmed Taha
- Photonics Technology Laboratory, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia.
| | - Yousif Al Mashhadany
- Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar 00964, Iraq
| | - Qussay Al-Jubouri
- Department of Communication Engineering, University of Technology, Baghdad, Iraq
| | - Affa Rozana Bt Abdul Rashid
- Faculty of Science and Technology, University Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
| | - Yunhan Luo
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Department of Optoelectronic Engineering, College of Science and Engineering, Jinan University, Guangzhou 510632, China
| | - Zhe Chen
- Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes, Jinan University Guangzhou, 510632, China
| | - Sarvesh Rustagi
- School of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttarakhand, India
| | - Vishal Chaudhary
- Department of Physics, Bhagini Nivedita College, University of Delhi, New Delhi 110045, India.
| | - Norhana Arsad
- Photonics Technology Laboratory, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia.
| |
Collapse
|
12
|
Cupil-Garcia V, Li JQ, Norton SJ, Odion RA, Strobbia P, Menozzi L, Ma C, Hu J, Zentella R, Boyanov MI, Finfrock YZ, Gursoy D, Douglas DS, Yao J, Sun TP, Kemner KM, Vo-Dinh T. Plasmonic nanorod probes' journey inside plant cells for in vivo SERS sensing and multimodal imaging. NANOSCALE 2023; 15:6396-6407. [PMID: 36924128 DOI: 10.1039/d2nr06235f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Nanoparticle-based platforms are gaining strong interest in plant biology and bioenergy research to monitor and control biological processes in whole plants. However, in vivo monitoring of biomolecules using nanoparticles inside plant cells remains challenging due to the impenetrability of the plant cell wall to nanoparticles beyond the exclusion limits (5-20 nm). To overcome this physical barrier, we have designed unique bimetallic silver-coated gold nanorods (AuNR@Ag) capable of entering plant cells, while conserving key plasmonic properties in the near-infrared (NIR). To demonstrate cellular internalization and tracking of the nanorods inside plant tissue, we used a comprehensive multimodal imaging approach that included transmission electron microscopy (TEM), confocal fluorescence microscopy, two-photon luminescence (TPL), X-ray fluorescence microscopy (XRF), and photoacoustics imaging (PAI). We successfully acquired SERS signals of nanorods in vivo inside plant cells of tobacco leaves. On the same leaf samples, we applied orthogonal imaging methods, TPL and PAI techniques for in vivo imaging of the nanorods. This study first demonstrates the intracellular internalization of AuNR@Ag inside whole plant systems for in vivo SERS analysis in tobacco cells. This work demonstrates the potential of this nanoplatform as a new nanotool for intracellular in vivo biosensing for plant biology.
Collapse
Affiliation(s)
- Vanessa Cupil-Garcia
- Fitzpatrick Institute for Photonics, Durham, NC 27706, USA.
- Department of Chemistry, Duke University, Durham, NC 27706, USA
| | - Joy Q Li
- Fitzpatrick Institute for Photonics, Durham, NC 27706, USA.
- Department of Biomedical Engineering, Duke University, Durham, NC 27706, USA
| | | | - Ren A Odion
- Fitzpatrick Institute for Photonics, Durham, NC 27706, USA.
- Department of Biomedical Engineering, Duke University, Durham, NC 27706, USA
| | - Pietro Strobbia
- Fitzpatrick Institute for Photonics, Durham, NC 27706, USA.
- Department of Biomedical Engineering, Duke University, Durham, NC 27706, USA
| | - Luca Menozzi
- Fitzpatrick Institute for Photonics, Durham, NC 27706, USA.
- Department of Biomedical Engineering, Duke University, Durham, NC 27706, USA
| | - Chenshuo Ma
- Fitzpatrick Institute for Photonics, Durham, NC 27706, USA.
- Department of Biomedical Engineering, Duke University, Durham, NC 27706, USA
| | - Jianhong Hu
- Department of Biology, Duke University, Durham, NC 27706, USA
| | | | - Maxim I Boyanov
- Bulgarian Academy of Sciences, Institute of Chemical Engineering, Sofia 1113, Bulgaria
- Biosciences Division, Argonne National Laboratory, Argonne, IL 60439, USA
| | - Y Zou Finfrock
- X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Doga Gursoy
- X-ray Science Division, Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
- Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208, USA
| | | | - Junjie Yao
- Fitzpatrick Institute for Photonics, Durham, NC 27706, USA.
- Department of Biomedical Engineering, Duke University, Durham, NC 27706, USA
| | - Tai-Ping Sun
- Department of Biology, Duke University, Durham, NC 27706, USA
| | - Kenneth M Kemner
- Biosciences Division, Argonne National Laboratory, Argonne, IL 60439, USA
| | - Tuan Vo-Dinh
- Fitzpatrick Institute for Photonics, Durham, NC 27706, USA.
- Department of Chemistry, Duke University, Durham, NC 27706, USA
- Department of Biomedical Engineering, Duke University, Durham, NC 27706, USA
| |
Collapse
|
13
|
Ganesh S, Dhinakaran AK, Premnath P, Venkatakrishnan K, Tan B. Label-Free Saliva Test for Rapid Detection of Coronavirus Using Nanosensor-Enabled SERS. Bioengineering (Basel) 2023; 10:bioengineering10030391. [PMID: 36978782 PMCID: PMC10045265 DOI: 10.3390/bioengineering10030391] [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: 02/07/2023] [Revised: 03/14/2023] [Accepted: 03/19/2023] [Indexed: 03/30/2023] Open
Abstract
The recent COVID-19 pandemic has highlighted the inadequacies of existing diagnostic techniques and the need for rapid and accurate diagnostic systems. Although molecular tests such as RT-PCR are the gold standard, they cannot be employed as point-of-care testing systems. Hence, a rapid, noninvasive diagnostic technique such as Surface-enhanced Raman scattering (SERS) is a promising analytical technique for rapid molecular or viral diagnosis. Here, we have designed a SERS- based test to rapidly diagnose SARS-CoV-2 from saliva. Physical methods synthesized the nanostructured sensor. It significantly increased the detection specificity and sensitivity by ~ten copies/mL of viral RNA (~femtomolar concentration of nucleic acids). Our technique combines the multiplexing capability of SERS with the sensitivity of novel nanostructures to detect whole virus particles and infection-associated antibodies. We have demonstrated the feasibility of the test with saliva samples from individuals who tested positive for SARS-CoV-2 with a specificity of 95%. The SERS-based test provides a promising breakthrough in detecting potential mutations that may come up with time while also preparing the world to deal with other pandemics in the future with rapid response and very accurate results.
Collapse
Affiliation(s)
- Swarna Ganesh
- Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, ON M5B 1W8, Canada
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
| | - Ashok Kumar Dhinakaran
- Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, ON M5B 1W8, Canada
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
| | - Priyatha Premnath
- Department of biomedical engineering, College of Engineering and Applied Sciences, University of Wisconsin, Milwaukee, WI 53211, USA
| | - Krishnan Venkatakrishnan
- Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, ON M5B 1W8, Canada
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
| | - Bo Tan
- Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, ON M5B 1W8, Canada
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, ON M5B 1W8, Canada
- Nanocharacterization Laboratory, Department of Aerospace Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
| |
Collapse
|
14
|
Luo X, Yue W, Zhang S, Liu H, Chen Z, Qiao L, Wu C, Li P, He Y. SARS-CoV-2 proteins monitored by long-range surface plasmon field-enhanced Raman scattering with hybrid bowtie nanoaperture arrays and nanocavities. LAB ON A CHIP 2023; 23:388-399. [PMID: 36621932 DOI: 10.1039/d2lc01006b] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The identification of biomacromolecules by using surface-enhanced Raman scattering (SERS) remains a challenge because of the near-field effect of traditional substrates. Long-range surface plasmon resonance (LRSPR) is a special type of surface optical phenomenon that provides higher electromagnetic field enhancement and longer penetration depth than conventional surface plasmon resonance. To break the limit of SERS detection distance and obtain a SERS substrate with increased enhancement ability, a bowtie nanoaperture array was sandwiched between two symmetric dielectric environments. Then, an Au mirror was inserted to form a metal-insulator-metal configuration. Finite-difference time-domain simulations revealed that numerous hybrid modes can be provided by this novel configuration (denoted as long-range SERS [LR-SERS] substrate). In particular, the LRSPR mode can be excited and reach the maximum value through the regulation of the polarizations of the incident light and the geometrical parameters of the LR-SERS substrate. The optimized LR-SERS substrate was then applied to detect SARS-CoV-2 spike (S) and nucleocapsid (N) proteins. This substrate displayed ultralow detection limits of ∼9.2 and ∼11.3 pg mL-1 for the S and N proteins, respectively. Moreover, with the help of principal component analysis and receiver operating characteristic methods, our fabricated sensors exhibited excellent selectivity and hold great potential for the diagnosis of SARS-CoV-2 proteins in real samples.
Collapse
Affiliation(s)
- Xiaojun Luo
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Weiling Yue
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Shutong Zhang
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Haopeng Liu
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Zhinan Chen
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Ling Qiao
- Division of Chemistry and Biological Chemistry, School of Physical & Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore
| | - Caijun Wu
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| | - Panjie Li
- School of Chemistry and Chemical Engineering, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
| | - Yi He
- School of Science, Xihua University, Chengdu 610039, P. R. China.
| |
Collapse
|
15
|
Li D, Sun C, Mei X, Yang L. Achieving broad availability of SARS-CoV-2 detections via smartphone-based analysis. Trends Analyt Chem 2023; 158:116878. [PMID: 36506266 PMCID: PMC9728015 DOI: 10.1016/j.trac.2022.116878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 12/01/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022]
Abstract
With the development of COVID-19, widely available tests are in great demand. Naked-eye SARS-CoV-2 test kits have recently been developed as home tests, but their sensitivity and accuracy are sometimes limited. Smartphones can convert various signals into digital information, potentially improving the sensitivity and accuracy of these home tests. Herein, we summarize smartphone-based detections for SARS-CoV-2. Optical detections of non-nucleic acids using various sensors and portable imaging systems, as well as nucleic acid analyses based on LAMP, CRISP, CATCH, and biosensors are discussed. Furthermore, different electrochemical detections were compared. We show results obtained using relatively complex equipment, complicated programming procedures, or custom smartphone apps, and describe methods for obtaining information with only simple setups and free software on smartphones. Then, the combined costs of typical smartphone-based detections are evaluated. Finally, the prospect of improving smartphone-based strategies to achieve broad availability of SARS-CoV-2 detection is proposed.
Collapse
Affiliation(s)
- Dan Li
- Jinzhou Medical University, Jinzhou, China
| | - Cai Sun
- AECC Shenyang Liming Aero-Engine Co, Ltd., Shenyang, China
| | - Xifan Mei
- Jinzhou Medical University, Jinzhou, China,Corresponding author
| | - Liqun Yang
- NHC Key Laboratory of Reproductive Health and Medical Genetics (China Medical University), Liaoning Research Institute of Family Planning (The Affiliated Reproductive Hospital of China Medical University), Shenyang, China,Corresponding author
| |
Collapse
|
16
|
Chi L, Wang X, Chen H, Tang D, Xue F. Ultrasensitive photoelectrochemical biosensing platform based target-triggered biocatalytic precipitation reactions on a flower-like Bi 2O 2S super-structured photoanode. J Mater Chem B 2022; 10:10018-10026. [PMID: 36458849 DOI: 10.1039/d2tb02283d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Herein, we reported a novel photoelectrochemical immunoassay method based on a target-triggered on/off signal of the ultra-structured Bi2O2S (BOS) photoanode system for the sensitive testing of carcinoembryonic antigens (CEAs) in serum samples. Well-defined three-dimensional sheet-like self-assembled flower-like Bi2O2S superstructures were obtained using a time-controlled hydrothermal method. Such well-shaped multifaceted surfaces were considered to be good laser cavity mirror surfaces for multifaceted reflection and refraction of excitation light in the material. An elegant enzyme biocatalytic strategy was introduced into the constructed detection model to sensitively detect CEAs. The substrate 4-chloro-1-naphthol (4-CN) was oxidized to 4-chloro-hexadienone (4-CD) under the formation of target-triggered immune complexes against mAb1 and peroxidase-modified mAb2. Subsequently, 4-CD produced by the biocatalytic precipitation reaction was transferred to the photoanodes of Bi2O2S nanoflowers (BOS NFs) to burst their photoelectric signals, thus achieving the quantification of CEAs. Through optimization of the conditions of the immunization protocol, a good negative photocurrent response to the target CEA was found in the wide range of 0.02-50 ng mL-1 with a detection limit of 11.2 pg mL-1. Impressively, the reported biocatalytic PEC sensing strategy on superstructures is comparable, or superior, to the gold standard ELISA kit in terms of sensitivity and the target response range. This study presents a target-mediated PEC immunoassay for biocatalytic precipitation based on a self-assembled superstructure of Bi2O2S, providing a fresh scheme for the analysis of disease-related markers.
Collapse
Affiliation(s)
- Liangjie Chi
- Department of Gastrointestinal Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, No. 134 Dongjie, Fuzhou 350001, P. R. China. .,Clinical Medical Center for Digestive Diseases of Fujian Provincial Hospital, No. 134 Dongjie, Fuzhou 350001, P. R. China
| | - Xiangyu Wang
- Department of Gastrointestinal Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, No. 134 Dongjie, Fuzhou 350001, P. R. China. .,Clinical Medical Center for Digestive Diseases of Fujian Provincial Hospital, No. 134 Dongjie, Fuzhou 350001, P. R. China
| | - Hongyuan Chen
- Department of Gastrointestinal Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, No. 134 Dongjie, Fuzhou 350001, P. R. China. .,Clinical Medical Center for Digestive Diseases of Fujian Provincial Hospital, No. 134 Dongjie, Fuzhou 350001, P. R. China
| | - Dianping Tang
- Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou 350108, P. R. China.
| | - Fangqin Xue
- Department of Gastrointestinal Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, No. 134 Dongjie, Fuzhou 350001, P. R. China. .,Clinical Medical Center for Digestive Diseases of Fujian Provincial Hospital, No. 134 Dongjie, Fuzhou 350001, P. R. China
| |
Collapse
|
17
|
Dong T, Han C, Jiang M, Zhang T, Kang Q, Wang P, Zhou F. A Four-Channel Surface Plasmon Resonance Sensor Functionalized Online for Simultaneous Detections of Anti-SARS-CoV-2 Antibody, Free Viral Particles, and Neutralized Viral Particles. ACS Sens 2022; 7:3560-3570. [PMID: 36382569 DOI: 10.1021/acssensors.2c02067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Current tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detect either the constituent nucleic acids/proteins of the viral particles or antibodies specific to the virus, but cannot provide information about viral neutralization by an antibody and the efficacy of an antibody. Such information is important about individuals' vulnerability to severe symptoms or their likelihood of showing no symptoms. We immobilized online SARS-CoV-2 spike (S1) protein and angiotensin-converting enzyme 2 (ACE2) into separate surface plasmon resonance (SPR) channels of a tris-nitrilotriacetic acid (tris-NTA) chip to simultaneously detect the anti-S1 antibody and viral particles in serum samples. In addition, with a high-molecular-weight-cutoff filter, we separated the neutralized viral particles from the free antibody molecules and used a sensing channel immobilized with Protein G to determine antibody-neutralized viral particles. The optimal density of probe molecules in each fluidic channel can be precisely controlled through the closure and opening of the specific ports. By utilizing the high surface density of ACE2, multiple assays can be carried out without regenerations. These three species can be determined with a short analysis time (<12 min per assay) and excellent sensor-to-sensor/cycle-to-cycle reproducibility (RSD < 5%). When coupled with an autosampler, continuous assays can be performed in an unattended manner at a single chip for up to 6 days. Such a sensor capable of assaying serum samples containing the three species at different levels provides additional insights into the disease status and immunity of persons being tested, which should be helpful for containing the SARS-CoV-2 spread during the era of incessant viral mutations.
Collapse
Affiliation(s)
- Tianbao Dong
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong, P. R. China, 250022
| | - Chaowei Han
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong, P. R. China, 250022
| | - Meng Jiang
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong, P. R. China, 250022
| | - Tiantian Zhang
- University Hospital, University of Jinan, Jinan, Shandong, P. R. China, 250022
| | - Qing Kang
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong, P. R. China, 250022
| | - Pengcheng Wang
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong, P. R. China, 250022
| | - Feimeng Zhou
- Institute of Surface Analysis and Chemical Biology, University of Jinan, Jinan, Shandong, P. R. China, 250022
| |
Collapse
|
18
|
Zhang X, Yang Y, Cao J, Qi Z, Li G. Point-of-care CRISPR/Cas biosensing technology: A promising tool for preventing the possible COVID-19 resurgence caused by contaminated cold-chain food and packaging. FOOD FRONTIERS 2022; 4:FFT2176. [PMID: 36712576 PMCID: PMC9874772 DOI: 10.1002/fft2.176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/1912] [Revised: 12/12/1912] [Accepted: 12/12/1912] [Indexed: 02/01/2023] Open
Abstract
The ongoing coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused great public health concern and has been a global threat due to its high transmissibility and morbidity. Although the SARS-CoV-2 transmission mainly relies on the person-to-person route through the respiratory droplets, the possible transmission through the contaminated cold-chain food and packaging to humans has raised widespread concerns. This review discussed the possibility of SARS-CoV-2 transmission via the contaminated cold-chain food and packaging by tracing the occurrence, the survival of SARS-CoV-2 in the contaminated cold-chain food and packaging, as well as the transmission and outbreaks related to the contaminated cold-chain food and packaging. Rapid, accurate, and reliable diagnostics of SARS-CoV-2 is of great importance for preventing and controlling the COVID-19 resurgence. Therefore, we summarized the recent advances on the emerging clustered regularly interspaced short palindromic repeats (CRISPR)/Cas system-based biosensing technology that is promising and powerful for preventing the possible COVID-19 resurgence caused by the contaminated cold-chain food and packaging during the COVID-19 pandemic, including CRISPR/Cas system-based biosensors and their integration with portable devices (e.g., smartphone, lateral flow assays, microfluidic chips, and nanopores). Impressively, this review not only provided an insight on the possibility of SARS-CoV-2 transmission through the food supply chain, but also proposed the future opportunities and challenges on the development of CRISPR/Cas system-based detection methods for the diagnosis of SARS-CoV-2.
Collapse
Affiliation(s)
- Xianlong Zhang
- Food safety and Quality Control Innovation team, Department of Food Science and EngineeringSchool of Food and Biological Engineering, Shaanxi University of Science and TechnologyXi'an710021China
| | - Yan Yang
- Food safety and Quality Control Innovation team, Department of Food Science and EngineeringSchool of Food and Biological Engineering, Shaanxi University of Science and TechnologyXi'an710021China
| | - Juanjuan Cao
- Food safety and Quality Control Innovation team, Department of Food Science and EngineeringSchool of Food and Biological Engineering, Shaanxi University of Science and TechnologyXi'an710021China
| | - Zihe Qi
- Food safety and Quality Control Innovation team, Department of Food Science and EngineeringSchool of Food and Biological Engineering, Shaanxi University of Science and TechnologyXi'an710021China
| | - Guoliang Li
- Food safety and Quality Control Innovation team, Department of Food Science and EngineeringSchool of Food and Biological Engineering, Shaanxi University of Science and TechnologyXi'an710021China
| |
Collapse
|
19
|
Ben-Shimon Y, Sharma CP, Arnusch CJ, Ya'akobovitz A. Freestanding Laser-Induced Graphene Ultrasensitive Resonative Viral Sensors. ACS APPLIED MATERIALS & INTERFACES 2022; 14:44713-44723. [PMID: 36083630 DOI: 10.1021/acsami.2c08302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Early and reliable detection of an infectious viral disease is critical to accurately monitor outbreaks and to provide individuals and health care professionals the opportunity to treat patients at the early stages of a disease. The accuracy of such information is essential to define appropriate actions to protect the population and to reduce the likelihood of a possible pandemic. Here, we show the fabrication of freestanding laser-induced graphene (FLIG) flakes that are highly sensitive sensors for high-fidelity viral detection. As a case study, we show the detection of SARS-CoV-2 spike proteins. FLIG flakes are nonembedded porous graphene foams ca. 30 μm thick that are generated using laser irradiation of polyimide and can be fabricated in seconds at a low cost. Larger pieces of FLIG were cut forming a cantilever, used as suspended resonators, and characterized for their electromechanics behavior. Thermomechanical analysis showed FLIG stiffness comparable to other porous materials such as boron nitride foam, and electrostatic excitation showed amplification of the vibrations at frequencies in the range of several kilo-hertz. We developed a protocol for aqueous biological sensing by characterizing the wetting dynamic response of the sensor in buffer solution and in water, and devices functionalized with COVID-19 antibodies specifically detected SARS-CoV-2 spike protein binding, while not detecting other viruses such as MS2. The FLIG sensors showed a clear mass-dependent frequency response shift of ∼1 Hz/pg, and low nanomolar concentrations could be detected. Ultimately, the sensors demonstrated an outstanding limit of detection of 2.63 pg, which is equivalent to as few as ∼5000 SARS-CoV-2 viruses. Thus, the FLIG platform technology can be utilized to develop portable and highly accurate sensors, including biological applications where the fast and reliable protein or infectious particle detection is critical.
Collapse
Affiliation(s)
- Yahav Ben-Shimon
- Faculty of Engineering Sciences, Ben-Gurion University of the Negev, 8410501 Be'er Sheva, Israel
| | - Chetan Prakash Sharma
- Department of Desalination and Water Treatment, Zuckerberg Institute for Water Research, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben Gurion, 84990 Be'er Sheva, Israel
| | - Christopher J Arnusch
- Department of Desalination and Water Treatment, Zuckerberg Institute for Water Research, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben Gurion, 84990 Be'er Sheva, Israel
| | - Assaf Ya'akobovitz
- Faculty of Engineering Sciences, Ben-Gurion University of the Negev, 8410501 Be'er Sheva, Israel
| |
Collapse
|
20
|
Yue W, Xia Z, Zeng Z, Chen Z, Qiao L, Li P, He Y, Luo X. In Situ Surface-Enhanced Raman Scattering Detection of a SARS-CoV-2 Biomarker Using Flexible and Transparent Polydimethylsiloxane Films with Embedded Au Nanoplates. ACS APPLIED NANO MATERIALS 2022; 5:12897-12906. [PMID: 37552747 PMCID: PMC9438477 DOI: 10.1021/acsanm.2c02750] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 08/08/2022] [Indexed: 05/02/2023]
Abstract
Coronavirus disease 2019 (COVID-19) remains an ongoing issue worldwide and continues to disrupt daily life. Transmission of infection primarily occurs through secretions when in contact with infected individuals, but more recent evidence has shown that fomites are also a source of virus transmission, especially in cold-chain logistics. Traditional nucleic acid testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) contamination in cold-chain logistics is time-consuming and inaccurate because of the multiplex sampling sites. Surface-enhanced Raman spectroscopy (SERS) provides a rapid, sensitive, and label-free detection route for various molecules, including viruses, through the identification of the characteristic peaks of their outer membrane proteins. In this study, we embedded arbitrarily orientated gold nanoplates (Au NPLs) in polydimethylsiloxane (PDMS) elastomer and used it as biosensor for the ultrasensitive detection of the SARS-CoV-2 spike protein in cold-chain logistics. This transparent and flexible substrate can be wrapped onto arbitrary surfaces and permits light penetration into the underlying contact surface, enabling in situ and point-of-care SERS diagnostics. The developed assay displayed high reproducibility (8.7%) and a low detection limit of 6.8 × 10-9 g mL-1, indicating its potential to serve as a promising approach with increased accuracy and sensitivity for the detection of the S protein.
Collapse
Affiliation(s)
- Weiling Yue
- School of Science, Xihua
University, Chengdu610039, P. R. China
| | - Zhichao Xia
- School of Science, Xihua
University, Chengdu610039, P. R. China
| | - Zhiyou Zeng
- School of Science, Xihua
University, Chengdu610039, P. R. China
| | - Zhinan Chen
- School of Science, Xihua
University, Chengdu610039, P. R. China
| | - Ling Qiao
- Division of Chemistry and Biological Chemistry, School
of Physical & Mathematical Sciences, Nanyang Technological
University, Singapore637371, Singapore
| | - Panjie Li
- School of Chemistry and Chemical Engineering, School
of Environmental and Biological Engineering, Nanjing University of Science
and Technology, Nanjing210094, China
| | - Yi He
- School of Science, Xihua
University, Chengdu610039, P. R. China
| | - Xiaojun Luo
- School of Science, Xihua
University, Chengdu610039, P. R. China
| |
Collapse
|
21
|
Samodelova MV, Kapitanova OO, Meshcheryakova NF, Novikov SM, Yarenkov NR, Streletskii OA, Yakubovsky DI, Grabovenko FI, Zhdanov GA, Arsenin AV, Volkov VS, Zavyalova EG, Veselova IA, Zvereva MI. Model of the SARS-CoV-2 Virus for Development of a DNA-Modified, Surface-Enhanced Raman Spectroscopy Sensor with a Novel Hybrid Plasmonic Platform in Sandwich Mode. BIOSENSORS 2022; 12:bios12090768. [PMID: 36140152 PMCID: PMC9497064 DOI: 10.3390/bios12090768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 09/10/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022]
Abstract
The recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has posed a great challenge for the development of ultra-fast methods for virus identification based on sensor principles. We created a structure modeling surface and size of the SARS-CoV-2 virus and used it in comparison with the standard antigen SARS-CoV-2—the receptor-binding domain (RBD) of the S-protein of the envelope of the SARS-CoV-2 virus from the Wuhan strain—for the development of detection of coronaviruses using a DNA-modified, surface-enhanced Raman scattering (SERS)-based aptasensor in sandwich mode: a primary aptamer attached to the plasmonic surface—RBD-covered Ag nanoparticle—the Cy3-labeled secondary aptamer. Fabricated novel hybrid plasmonic structures based on “Ag mirror-SiO2-nanostructured Ag” demonstrate sensitivity for the detection of investigated analytes due to the combination of localized surface plasmons in nanostructured silver surface and the gap surface plasmons in a thin dielectric layer of SiO2 between silver layers. A specific SERS signal has been obtained from SERS-active compounds with RBD-specific DNA aptamers that selectively bind to the S protein of synthetic virion (dissociation constants of DNA-aptamer complexes with protein in the range of 10 nM). The purpose of the study is to systematically analyze the combination of components in an aptamer-based sandwich system. A developed virus size simulating silver particles adsorbed on an aptamer-coated sensor provided a signal different from free RBD. The data obtained are consistent with the theory of signal amplification depending on the distance of the active compound from the amplifying surface and the nature of such a compound. The ability to detect the target virus due to specific interaction with such DNA is quantitatively controlled by the degree of the quenching SERS signal from the labeled compound. Developed indicator sandwich-type systems demonstrate high stability. Such a platform does not require special permissions to work with viruses. Therefore, our approach creates the promising basis for fostering the practical application of ultra-fast, amplification-free methods for detecting coronaviruses based on SARS-CoV-2.
Collapse
Affiliation(s)
- Mariia V. Samodelova
- Faculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1, 119991 Moscow, Russia
| | - Olesya O. Kapitanova
- Faculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1, 119991 Moscow, Russia
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia
- Correspondence:
| | | | - Sergey. M. Novikov
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia
| | - Nikita R. Yarenkov
- Faculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1, 119991 Moscow, Russia
| | - Oleg A. Streletskii
- Faculty of Physics, Lomonosov Moscow State University, Leninskie Gory 1, 119991 Moscow, Russia
| | - Dmitry I. Yakubovsky
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia
| | - Fedor I. Grabovenko
- Faculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1, 119991 Moscow, Russia
| | - Gleb A. Zhdanov
- Faculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1, 119991 Moscow, Russia
| | - Aleksey V. Arsenin
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia
| | - Valentyn S. Volkov
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia
| | - Elena G. Zavyalova
- Faculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1, 119991 Moscow, Russia
| | - Irina A. Veselova
- Faculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1, 119991 Moscow, Russia
| | - Maria I. Zvereva
- Faculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1, 119991 Moscow, Russia
| |
Collapse
|
22
|
Pramanik A, Mayer J, Sinha SS, Sharma PC, Patibandla S, Gao Y, Corby LR, Bates JT, Bierdeman MA, Tandon R, Seshadri R, Ray PC. Human ACE2 Peptide-Attached Plasmonic-Magnetic Heterostructure for Magnetic Separation, Surface Enhanced Raman Spectroscopy Identification, and Inhibition of Different Variants of SARS-CoV-2 Infections. ACS APPLIED BIO MATERIALS 2022; 5:4454-4464. [PMID: 36053723 DOI: 10.1021/acsabm.2c00573] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The emergence of Alpha, Beta, Gamma, Delta, and Omicron variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for several million deaths up to now. Because of the huge amount of vaccine escape mutations in the spike (S) protein for different variants, the design of material for combating SARS-CoV-2 is very important for our society. Herein, we report on the design of a human angiotensin converting enzyme 2 (ACE2) peptide-conjugated plasmonic-magnetic heterostructure, which has the capability for magnetic separation, identification via surface enhanced Raman spectroscopy (SERS), and inhibition of different variant SARS-CoV-2 infections. In this work, plasmonic-magnetic heterostructures were developed using the initial synthesis of polyethylenimine (PEI)-coated Fe3O4-based magnetic nanoparticles, and then gold nanoparticles (GNPs) were grown onto the surface of the magnetic nanoparticles. Experimental binding data between ACE2-conjugated plasmonic-magnetic heterostructures and spike-receptor-binding domain (RBD) show that the Omicron variant has maximum binding ability, and it follows Alpha < Beta < Gamma < Delta < Omicron. Our finding shows that, due to the high magnetic moment (specific magnetization 40 emu/g), bioconjugated heterostructures are capable of effective magnetic separation of pseudotyped SARS-CoV-2 bearing the Delta variant spike from an infected artificial nasal mucus fluid sample using a simple bar magnet. Experimental data show that due to the formation of huge "hot spots" in the presence of SARS-CoV-2, Raman intensity for the 4-aminothiolphenol (4-ATP) Raman reporter was enhanced sharply, which has been used for the identification of separated virus. Theoretical calculations using finite-difference time-domain (FDTD) simulation indicate that, due to the "hot spots" formation, a six orders of magnitude Raman enhancement can be observed. A concentration-dependent inhibition efficiency investigation using a HEK293T-human cell line indicates that ACE2 peptide-conjugated plasmonic-magnetic heterostructures have the capability of complete inhibition of entry of different variants and original SARS-CoV-2 pseudovirions into host cells.
Collapse
Affiliation(s)
- Avijit Pramanik
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| | - Justin Mayer
- Materials Department, University of California, Santa Barbara, California 93106-5121, United States
| | - Sudarson Sekhar Sinha
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| | - Poonam C Sharma
- Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, Mississippi 39216, United States
| | - Shamily Patibandla
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| | - Ye Gao
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| | - Lauren R Corby
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| | - John T Bates
- Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, Mississippi 39216, United States
| | - Michael A Bierdeman
- Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, Mississippi 39216, United States
| | - Ritesh Tandon
- Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, Mississippi 39216, United States
| | - Ram Seshadri
- Materials Department, University of California, Santa Barbara, California 93106-5121, United States
| | - Paresh Chandra Ray
- Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States
| |
Collapse
|
23
|
Karunakaran V, Joseph MM, Yadev I, Sharma H, Shamna K, Saurav S, Sreejith RP, Anand V, Beegum R, Regi David S, Iype T, Sarada Devi K, Nizarudheen A, Sharmad M, Sharma R, Mukhiya R, Thouti E, Yoosaf K, Joseph J, Sujatha Devi P, Savithri S, Agarwal A, Singh S, Maiti KK. A non-invasive ultrasensitive diagnostic approach for COVID-19 infection using salivary label-free SERS fingerprinting and artificial intelligence. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B: BIOLOGY 2022; 234:112545. [PMID: 36049288 PMCID: PMC9389522 DOI: 10.1016/j.jphotobiol.2022.112545] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 07/27/2022] [Accepted: 08/16/2022] [Indexed: 11/02/2022]
Abstract
Clinical diagnostics for SARS-CoV-2 infection usually comprises the sampling of throat or nasopharyngeal swabs that are invasive and create patient discomfort. Hence, saliva is attempted as a sample of choice for the management of COVID-19 outbreaks that cripples the global healthcare system. Although limited by the risk of eliciting false-negative and positive results, tedious test procedures, requirement of specialized laboratories, and expensive reagents, nucleic acid-based tests remain the gold standard for COVID-19 diagnostics. However, genetic diversity of the virus due to rapid mutations limits the efficiency of nucleic acid-based tests. Herein, we have demonstrated the simplest screening modality based on label-free surface enhanced Raman scattering (LF-SERS) for scrutinizing the SARS-CoV-2-mediated molecular-level changes of the saliva samples among healthy, COVID-19 infected and COVID-19 recovered subjects. Moreover, our LF-SERS technique enabled to differentiate the three classes of corona virus spike protein derived from SARS-CoV-2, SARS-CoV and MERS-CoV. Raman spectral data was further decoded, segregated and effectively managed with the aid of machine learning algorithms. The classification models built upon biochemical signature-based discrimination method of the COVID-19 condition from the patient saliva ensured high accuracy, specificity, and sensitivity. The trained support vector machine (SVM) classifier achieved a prediction accuracy of 95% and F1-score of 94.73%, and 95.28% for healthy and COVID-19 infected patients respectively. The current approach not only differentiate SARS-CoV-2 infection with healthy controls but also predicted a distinct fingerprint for different stages of patient recovery. Employing portable hand-held Raman spectrophotometer as the instrument and saliva as the sample of choice will guarantee a rapid and non-invasive diagnostic strategy to warrant or assure patient comfort and large-scale population screening for SARS-CoV-2 infection and monitoring the recovery process.
Collapse
|
24
|
Emerging biosensors to detect aflatoxin M1 in milk and dairy products. Food Chem 2022; 398:133848. [DOI: 10.1016/j.foodchem.2022.133848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/17/2022] [Accepted: 07/31/2022] [Indexed: 11/23/2022]
|
25
|
Wei H, Zhang C, Du X, Zhang Z. Research progress of biosensors for detection of SARS-CoV-2 variants based on ACE2. Talanta 2022; 251:123813. [PMID: 35952504 PMCID: PMC9356646 DOI: 10.1016/j.talanta.2022.123813] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/30/2022] [Accepted: 08/02/2022] [Indexed: 11/12/2022]
Abstract
Currently, the coronavirus disease 2019 (COVID-19) pandemic is ravaging the world, causing serious crisis in economy and human health. The top priority is the detection and drug development of the novel coronavirus. The gold standard for real-time diagnosis of coronavirus disease is the reverse transcription-polymerase chain reaction (RT-PCR), which is usually operatively complex and time-consuming. Biosensors are known for their low cost and rapid detection, which are developing rapidly in detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The current study showed that the spike protein of SARS-CoV-2 will bind to angiotensin-converting hormone 2 (ACE2) to mediate the entry of the virus into cells. Interestingly, the affinity between ACE2 and SARS-CoV-2 spike protein increases with the mutation of the virus. Using ACE2 as a biosensor recognition receptor to detect SARS-CoV-2 will effectively avoid the decline of detection accuracy and false negative caused by variants. In fact, due to the variation of the virus, it may even lead to enhanced detection performance. In addition, ACE2-specific drugs to prevent SARS-CoV-2 from entering cells will be effectively evaluated using the biosensors even with virus mutations. Here, we reviewed the biosensors for rapid detection of SARS-CoV-2 by ACE2 and discussed the advantages of ACE2 as an antibody for the detection of SARS-CoV-2 variants. The review also discussed the value of ACE2-based biosensors for screening for drugs that modulate the interaction between ACE2 and SARS-CoV-2.
Collapse
|
26
|
Guleken Z, Tuyji Tok Y, Jakubczyk P, Paja W, Pancerz K, Shpotyuk Y, Cebulski J, Depciuch J. Development of novel spectroscopic and machine learning methods for the measurement of periodic changes in COVID-19 antibody level. MEASUREMENT : JOURNAL OF THE INTERNATIONAL MEASUREMENT CONFEDERATION 2022; 196:111258. [PMID: 35493849 PMCID: PMC9040476 DOI: 10.1016/j.measurement.2022.111258] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/20/2022] [Accepted: 04/22/2022] [Indexed: 05/07/2023]
Abstract
In this research, blood samples of 47 patients infected by COVID were analyzed. The samples were taken on the 1st, 3rd and 6th month after the detection of COVID infection. Total antibody levels were measured against the SARS-CoV-2 N antigen and surrogate virus neutralization by serological methods. To differentiate COVID patients with different antibody levels, Fourier Transform InfraRed (FTIR) and Raman spectroscopy methods were used. The spectroscopy data were analyzed by multivariate analysis, machine learning and neural network methods. It was shown, that analysis of serum using the above-mentioned spectroscopy methods allows to differentiate antibody levels between 1 and 6 months via spectral biomarkers of amides II and I. Moreover, multivariate analysis showed, that using Raman spectroscopy in the range between 1317 cm-1 and 1432 cm-1, 2840 cm-1 and 2956 cm-1 it is possible to distinguish patients after 1, 3, and 6 months from COVID with a sensitivity close to 100%.
Collapse
Affiliation(s)
- Zozan Guleken
- Uskudar University, Faculty of Medicine, Department of Physiology, Turkey
| | - Yeşim Tuyji Tok
- Department of Medical Microbiology, Cerrahpaşa Medical Faculty, İstanbul University-Cerrahpaşa, Turkey
| | | | - Wiesław Paja
- Institute of Computer Science, University of Rzeszow, Poland
| | - Krzysztof Pancerz
- Institute of Philosophy, John Paul II Catholic University of Lublin, Poland
| | | | | | - Joanna Depciuch
- Institute of Nuclear Physics Polish Academy of Science, 31-342 Krakow, Poland
| |
Collapse
|
27
|
Eskandari V, Sahbafar H, Zeinalizad L, Hadi A. A review of applications of surface-enhanced raman spectroscopy laser for detection of biomaterials and a quick glance into its advances for COVID-19 investigations. ISSS JOURNAL OF MICRO AND SMART SYSTEMS 2022; 11:363-382. [PMID: 35540110 PMCID: PMC9070975 DOI: 10.1007/s41683-022-00103-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 03/19/2022] [Accepted: 03/27/2022] [Indexed: 11/28/2022]
Abstract
Surface-enhanced Raman spectroscopy (SERS) is one of the most sensitive analytical tools. In some cases, it is possible to record a high-quality SERS spectrum in which even a single molecule is involved. Therefore, SERS is considered a significantly promising option as an alternative to routine analytical techniques used in food, environmental, biochemical, and medical analyzes. In this review, the definitive applications of SERS developed to identify biochemically important species (especially medical and biological) from the simplest to the most complex are briefly discussed. Moreover, the potential capability of SERS for being used as an alternative to routine methods in diagnostic and clinical cases is demonstrated. In addition, this article describes how SERS-based sensors work, addresses its advancements in the last 20 years, discusses its applications for detecting Coronavirus Disease 2019 (COVID-19), and finally describes future works. The authors hope that this article will be useful for researchers who want to enter this amazing field of research.
Collapse
Affiliation(s)
- Vahid Eskandari
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Hossein Sahbafar
- School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Leila Zeinalizad
- Faculty of Biomedical Engineering, Department of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
| | - Amin Hadi
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran
| |
Collapse
|
28
|
Chen A, Wessler T, Daftari K, Hinton K, Boucher RC, Pickles R, Freeman R, Lai SK, Forest MG. Modeling insights into SARS-CoV-2 respiratory tract infections prior to immune protection. Biophys J 2022; 121:1619-1631. [PMID: 35378080 PMCID: PMC8975607 DOI: 10.1016/j.bpj.2022.04.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/27/2021] [Accepted: 03/31/2022] [Indexed: 11/19/2022] Open
Abstract
Mechanistic insights into human respiratory tract (RT) infections from SARS-CoV-2 can inform public awareness as well as guide medical prevention and treatment for COVID-19 disease. Yet the complexity of the RT and the inability to access diverse regions pose fundamental roadblocks to evaluation of potential mechanisms for the onset and progression of infection (and transmission). We present a model that incorporates detailed RT anatomy and physiology, including airway geometry, physical dimensions, thicknesses of airway surface liquids (ASLs), and mucus layer transport by cilia. The model further incorporates SARS-CoV-2 diffusivity in ASLs and best-known data for epithelial cell infection probabilities, and, once infected, duration of eclipse and replication phases, and replication rate of infectious virions. We apply this baseline model in the absence of immune protection to explore immediate, short-term outcomes from novel SARS-CoV-2 depositions onto the air-ASL interface. For each RT location, we compute probability to clear versus infect; per infected cell, we compute dynamics of viral load and cell infection. Results reveal that nasal infections are highly likely within 1-2 days from minimal exposure, and alveolar pneumonia occurs only if infectious virions are deposited directly into alveolar ducts and sacs, not via retrograde propagation to the deep lung. Furthermore, to infect just 1% of the 140 m2 of alveolar surface area within 1 week, either 103 boluses each with 106 infectious virions or 106 aerosols with one infectious virion, all physically separated, must be directly deposited. These results strongly suggest that COVID-19 disease occurs in stages: a nasal/upper RT infection, followed by self-transmission of infection to the deep lung. Two mechanisms of self-transmission are persistent aspiration of infected nasal boluses that drain to the deep lung and repeated rupture of nasal aerosols from infected mucosal membranes by speaking, singing, or cheering that are partially inhaled, exhaled, and re-inhaled, to the deep lung.
Collapse
Affiliation(s)
- Alexander Chen
- Department of Mathematics, CSU Dominguez Hills, Carson, California
| | - Timothy Wessler
- Department of Mathematics, UNC Chapel Hill, Chapel Hill, North Carolina.
| | - Katherine Daftari
- Department of Mathematics, UNC Chapel Hill, Chapel Hill, North Carolina
| | - Kameryn Hinton
- Department of Applied Physical Sciences, UNC Chapel Hill, Chapel Hill, North Carolina
| | - Richard C Boucher
- Marsico Lung Institute, UNC Chapel Hill, Chapel Hill, North Carolina
| | - Raymond Pickles
- Marsico Lung Institute, UNC Chapel Hill, Chapel Hill, North Carolina; Department of Microbiology and Immunology, UNC Chapel Hill, Chapel Hill, North Carolina
| | - Ronit Freeman
- Department of Applied Physical Sciences, UNC Chapel Hill, Chapel Hill, North Carolina
| | - Samuel K Lai
- Department of Microbiology and Immunology, UNC Chapel Hill, Chapel Hill, North Carolina; Joint Department of Biomedical Engineering, UNC Chapel Hill and NC State University, Chapel Hill and Raleigh, North Carolina; Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, UNC Chapel Hill, Chapel Hill, North Carolina
| | - M Gregory Forest
- Department of Mathematics, UNC Chapel Hill, Chapel Hill, North Carolina; Department of Applied Physical Sciences, UNC Chapel Hill, Chapel Hill, North Carolina; Joint Department of Biomedical Engineering, UNC Chapel Hill and NC State University, Chapel Hill and Raleigh, North Carolina.
| |
Collapse
|
29
|
Cha H, Kim H, Joung Y, Kang H, Moon J, Jang H, Park S, Kwon HJ, Lee IC, Kim S, Yong D, Yoon SW, Park SG, Guk K, Lim EK, Park HG, Choo J, Jung J, Kang T. Surface-enhanced Raman scattering-based immunoassay for severe acute respiratory syndrome coronavirus 2. Biosens Bioelectron 2022; 202:114008. [PMID: 35086030 PMCID: PMC8770391 DOI: 10.1016/j.bios.2022.114008] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 01/11/2022] [Accepted: 01/13/2022] [Indexed: 02/07/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected humans worldwide for over a year now. Although various tests have been developed for the detection of SARS-CoV-2, advanced sensing methods are required for the diagnosis, screening, and surveillance of coronavirus disease 2019 (COVID-19). Here, we report a surface-enhanced Raman scattering (SERS)-based immunoassay involving an antibody pair, SERS-active hollow Au nanoparticles (NPs), and magnetic beads for the detection of SARS-CoV-2. The selected antibody pair against the SARS-CoV-2 antigen, along with the magnetic beads, facilitates the accurate direct detection of the virus. The hollow Au NPs exhibit strong, reproducible SERS signals, allowing sensitive quantitative detection of SARS-CoV-2. This assay had detection limits of 2.56 fg/mL for the SARS-CoV-2 antigen and 3.4 plaque-forming units/mL for the SARS-CoV-2 lysates. Furthermore, it facilitated the identification of SARS-CoV-2 in human nasopharyngeal aspirates and diagnosis of COVID-19 within 30 min using a portable Raman device. Thus, this assay can be potentially used for the diagnosis and prevention of COVID-19.
Collapse
Affiliation(s)
- Hyunjung Cha
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Hyeran Kim
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Younju Joung
- Department of Chemistry, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Hyunju Kang
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Jeong Moon
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea; Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Hyowon Jang
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Sohyun Park
- Department of Chemistry, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Hyung-Jun Kwon
- Functional Biomaterial Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Jeongeup, 56212, Republic of Korea
| | - In-Chul Lee
- Functional Biomaterial Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Jeongeup, 56212, Republic of Korea
| | - Sunjoo Kim
- Department of Laboratory Medicine, Gyeongsang National University College of Medicine, Jinju, 52828, Republic of Korea
| | - Dongeun Yong
- Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - Sun-Woo Yoon
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Sung-Gyu Park
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, 51508, Republic of Korea
| | - Kyeonghye Guk
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Eun-Kyung Lim
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea; Department of Nanobiotechnology, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea
| | - Hyun Gyu Park
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul, 06974, Republic of Korea.
| | - Juyeon Jung
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
| | - Taejoon Kang
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
| |
Collapse
|
30
|
Terry LR, Sanders S, Potoff RH, Kruel JW, Jain M, Guo H. Applications of surface-enhanced Raman spectroscopy in environmental detection. ANALYTICAL SCIENCE ADVANCES 2022; 3:113-145. [PMID: 38715640 PMCID: PMC10989676 DOI: 10.1002/ansa.202200003] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/18/2022] [Accepted: 02/22/2022] [Indexed: 06/11/2024]
Abstract
As the human population grows, the anthropogenic impacts from various agricultural and industrial processes produce unwanted contaminants in the environment. The accurate, sensitive and rapid detection of such contaminants is vital for human health and safety. Surface-enhanced Raman spectroscopy (SERS) is a valuable analytical tool with wide applications in environmental contaminant monitoring. The aim of this review is to summarize recent advancements within SERS research as it applies to environmental detection, with a focus on research published or accessible from January 2021 through December 2021 including early-access publications. Our goal is to provide a wide breadth of information that can be used to provide background knowledge of the field, as well as inform and encourage further development of SERS techniques in protecting environmental quality and safety. Specifically, we highlight the characteristics of effective SERS nanosubstrates, and explore methods for the SERS detection of inorganic, organic, and biological contaminants including heavy metals, pharmaceuticals, plastic particles, synthetic dyes, pesticides, viruses, bacteria and mycotoxins. We also discuss the current limitations of SERS technologies in environmental detection and propose several avenues for future investigation. We encourage researchers to fill in the identified gaps so that SERS can be implemented in a real-world environment more effectively and efficiently, ultimately providing reliable and timely data to help and make science-based strategies and policies to protect environmental safety and public health.
Collapse
Affiliation(s)
- Lynn R. Terry
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| | - Sage Sanders
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| | - Rebecca H. Potoff
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| | - Jacob W. Kruel
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| | - Manan Jain
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| | - Huiyuan Guo
- Department of ChemistryState University of New York at BinghamtonBinghamtonNew YorkUSA
| |
Collapse
|
31
|
Proniewicz E, Olszewski TK. SERS/TERS Characterization of New Potential Therapeutics: The Influence of Positional Isomerism, Interface Type, Oxidation State of Copper, and Incubation Time on Adsorption on the Surface of Copper(I) and (II) Oxide Nanoparticles. J Med Chem 2022; 65:4387-4400. [PMID: 35230122 PMCID: PMC8919263 DOI: 10.1021/acs.jmedchem.2c00031] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
![]()
The aim of this study
was to investigate how the oxidation state
of copper (Cu(I) vs Cu(II)), the nature of the interface (solid/aqueous
vs solid/air), positional isomerism, and incubation time affect the
functionalization of the surface of copper oxide nanostructures by
[(butylamino)(pyridine)methyl]phenylphosphinic acid (PyPA). For this
purpose, 2-, 3-, and 4-isomers of PyPA and the nanostructures were
synthesized. The nanostructure were characterized by UV-visible spectroscopy
(UV–vis), scanning electron microscopy (SEM), Raman spectroscopy
(RS), and X-ray diffraction (XRD) analysis, which proved the formation
of spherical Cu2O nanoparticles (Cu2ONPs; 1500–600
nm) and leaf-like CuO nanostructures (CuONSs; 80–180/400–700
nm, width/length). PyPA isomers were deposited on the surface of NSs,
and adsorption was investigated by surface-enhanced Raman scattering
(SERS) and tip-enhanced Raman scattering (TERS). The changes of adsorption
on the surface of copper oxide NSs caused by the above-mentioned factors
were described and the enhancement factor on this substrate was calculated.
Collapse
Affiliation(s)
- Edyta Proniewicz
- Faculty of Foundry Engineering, AGH University of Science and Technology, ul. Reymonta 23, 30-059 Kraków, Poland.,Department of Chemistry, School of Science and Technology, Kwansei Gakuin University, Gakuen 2-1, Sanda, Hyogo 669-137, Japan
| | - Tomasz K Olszewski
- Faculty of Chemistry, Wroclaw University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wroclaw, Poland
| |
Collapse
|