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Wang Q, Ai Z, Guo Q, Wang X, Dai C, Wang H, Sun J, Tang Y, Jiang D, Pei X, Chen R, Gou J, Yu L, Ding J, Wee ATS, Liu Y, Wei D. Photo-Enhanced Chemo-Transistor Platform for Ultrasensitive Assay of Small Molecules. J Am Chem Soc 2023; 145:10035-10044. [PMID: 37097713 DOI: 10.1021/jacs.2c13655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
Compared with traditional assay techniques, field-effect transistors (FETs) have advantages such as fast response, high sensitivity, being label-free, and point-of-care detection, while lacking generality to detect a wide range of small molecules since most of them are electrically neutral with a weak doping effect. Here, we demonstrate a photo-enhanced chemo-transistor platform based on a synergistic photo-chemical gating effect in order to overcome the aforementioned limitation. Under light irradiation, accumulated photoelectrons generated from covalent organic frameworks offer a photo-gating modulation, amplifying the response to small molecule adsorption including methylglyoxal, p-nitroaniline, nitrobenzene, aniline, and glyoxal when measuring the photocurrent. We perform testing in buffer, artificial urine, sweat, saliva, and diabetic mouse serum. The limit of detection is down to 10-19 M methylglyoxal, about 5 orders of magnitude lower than existing assay technologies. This work develops a photo-enhanced FET platform to detect small molecules or other neutral species with enhanced sensitivity for applications in fields such as biochemical research, health monitoring, and disease diagnosis.
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Affiliation(s)
- Qiankun Wang
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Zhaolin Ai
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Qianying Guo
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Xuejun Wang
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Changhao Dai
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Hancheng Wang
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
| | - Jiang Sun
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Yanan Tang
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Dingding Jiang
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Xinjie Pei
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Renzhong Chen
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Jian Gou
- Department of Physics, National University of Singapore, 2 Science Drive 3, Singapore 117542, Singapore
| | - Lin Yu
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
| | - Jiandong Ding
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
| | - Andrew T S Wee
- Department of Physics, National University of Singapore, 2 Science Drive 3, Singapore 117542, Singapore
| | - Yunqi Liu
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
- Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Dacheng Wei
- State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
- Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Laboratory of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
- Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China
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Shallan AI, Abdel-Hakim A, Hammad MA, Abou El-Alamin MM. Highly sensitive spectrofluorimetric method for the determination of the genotoxic methylglyoxal in glycerol-containing pharmaceuticals and dietary supplements. LUMINESCENCE 2023; 38:39-46. [PMID: 36482153 DOI: 10.1002/bio.4419] [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: 07/21/2022] [Revised: 11/02/2022] [Accepted: 11/29/2022] [Indexed: 12/13/2022]
Abstract
Methylglyoxal (MGO) is a genotoxic α-dicarbonyl compound. Recently, it was found to be formed in glycerol preparations during storage through auto-oxidation. A simple fluorimetric determination of the carcinogenic degradation product of glycerol, MGO, was developed and validated. The proposed method is based on the derivatization of MGO with 4-carbomethoxybenzaldehyde (CMBA) and ammonium acetate to yield a fluorescent imidazole derivative that can be measured at 415 nm after excitation at 322 nm. The optimized conditions were determined to be 0.2 M CMBA, 1.0 M ammonium acetate and a reaction time of 40 min at 90°C using ethanol as diluting solvent. The linear range was 10.0-200.0 ng/ml. Detection and quantification limits were 2.22 and 6.72 ng/ml, respectively. The proposed method was validated according to International Council for Harmonisation (ICH) guidelines and compared with the reported method and no significant difference was found. It was successfully applied for the determination of MGO in six different glycerol-containing pharmaceutical preparations and dietary supplements.
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Affiliation(s)
- Aliaa I Shallan
- Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Helwan University, Cairo, Egypt
| | - Ali Abdel-Hakim
- Department of Analytical Chemistry, Faculty of Pharmacy, University of Sadat City, Sadat City, Egypt
| | - Mohamed A Hammad
- Department of Analytical Chemistry, Faculty of Pharmacy, University of Sadat City, Sadat City, Egypt
| | - Maha M Abou El-Alamin
- Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Helwan University, Cairo, Egypt
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Wang Z, Peng Y, Shi C, Wang L, Chen X, Wu W, Wu X, Zhu Y, Zhang J, Cheng G, Zhuang S. Qualitative and quantitative recognition of chiral drugs based on terahertz spectroscopy. Analyst 2021; 146:3888-3898. [PMID: 34042921 DOI: 10.1039/d1an00500f] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Chiral drugs are drugs with chiral or asymmetric centres in their molecular structure. Different enantiomers of the same chiral drug have noticeably different pharmacological activities and pharmacokinetic properties. However, its distinction has been perplexing scholars for many years in the qualitative and quantitative detection of antagonistic drugs. Conventional detection methods, such as polarimetry, circular dichroism, and high-performance liquid chromatography, are time consuming, cause sample loss and have cumbersome operations, and they can be applied only to the sampling method. In this paper, we propose a fast, accurate, qualitative and quantitative method for the study of chiral drugs based on linearly polarized terahertz (THz) spectroscopy and imaging technology. Taking ibuprofen as an example, based on the THz absorption spectra of the enantiomers RS-ibuprofen, (R)-(-)-ibuprofen, and (S)-(+)-ibuprofen, their characteristic peak frequencies, peak amplitude differences and peak area differences were extracted to qualitatively and quantitatively distinguish and identify the three substances. THz spectral imaging provides more intuitive results than those obtained from previous methods. In quantitative identification, the stability and detection accuracy of THz spectroscopy are much greater than those of Raman spectroscopy (88.8-99.8% vs. 21.42-94.62%, respectively). The qualitative recognition accuracy was 100%, and the quantitative recognition standard deviation was less than 0.01, and it is also a non-destructive testing method. Furthermore, the above method combined with principal component analysis (PCA) and the support vector machine (SVM) neural network classification algorithm was applied to the analysis of other chiral drugs. These results are significant for the rapid, accurate and non-destructive identification of chiral drugs.
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Affiliation(s)
- Zefang Wang
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab. of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, P. R. China.
| | - Yan Peng
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab. of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, P. R. China.
| | - Chengjun Shi
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab. of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, P. R. China.
| | - Liping Wang
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab. of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, P. R. China.
| | - Xiaohong Chen
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab. of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, P. R. China.
| | - Wanwan Wu
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab. of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, P. R. China.
| | - Xu Wu
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab. of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, P. R. China.
| | - Yiming Zhu
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab. of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, P. R. China.
| | - Jingchen Zhang
- Shanghai Center for Drug Evaluation and Inspection, P. R. China.
| | - Guiliang Cheng
- Shanghai Center for Drug Evaluation and Inspection, P. R. China.
| | - Songlin Zhuang
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab. of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, P. R. China.
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Kosmachevskaya OV, Novikova NN, Topunov AF. Carbonyl Stress in Red Blood Cells and Hemoglobin. Antioxidants (Basel) 2021; 10:253. [PMID: 33562243 PMCID: PMC7914924 DOI: 10.3390/antiox10020253] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/02/2021] [Accepted: 02/03/2021] [Indexed: 12/13/2022] Open
Abstract
The paper overviews the peculiarities of carbonyl stress in nucleus-free mammal red blood cells (RBCs). Some functional features of RBCs make them exceptionally susceptible to reactive carbonyl compounds (RCC) from both blood plasma and the intracellular environment. In the first case, these compounds arise from the increased concentrations of glucose or ketone bodies in blood plasma, and in the second-from a misbalance in the glycolysis regulation. RBCs are normally exposed to RCC-methylglyoxal (MG), triglycerides-in blood plasma of diabetes patients. MG modifies lipoproteins and membrane proteins of RBCs and endothelial cells both on its own and with reactive oxygen species (ROS). Together, these phenomena may lead to arterial hypertension, atherosclerosis, hemolytic anemia, vascular occlusion, local ischemia, and hypercoagulation phenotype formation. ROS, reactive nitrogen species (RNS), and RCC might also damage hemoglobin (Hb), the most common protein in the RBC cytoplasm. It was Hb with which non-enzymatic glycation was first shown in living systems under physiological conditions. Glycated HbA1c is used as a very reliable and useful diagnostic marker. Studying the impacts of MG, ROS, and RNS on the physiological state of RBCs and Hb is of undisputed importance for basic and applied science.
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Affiliation(s)
- Olga V. Kosmachevskaya
- Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, 119071 Moscow, Russia;
| | | | - Alexey F. Topunov
- Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, 119071 Moscow, Russia;
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Kou T, Ye J, Wang J, Peng Y, Wang Z, Shi C, Wu X, Hu X, Chen H, Zhang L, Chen X, Zhu Y, Li H, Zhuang S. Terahertz Spectroscopy for Accurate Identification of Panax quinquefolium Basing on Nonconjugated 24(R)-Pseudoginsenoside F 11. PLANT PHENOMICS (WASHINGTON, D.C.) 2021; 2021:6793457. [PMID: 33860277 PMCID: PMC8043154 DOI: 10.34133/2021/6793457] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 10/29/2020] [Indexed: 06/12/2023]
Abstract
Panax quinquefolium is a perennial herbaceous plant that contains many beneficial ginsenosides with diverse pharmacological effects. 24(R)-pseudoginsenoside F11 is specific to P. quinquefolium, a useful biomarker for distinguishing this species from other related plants. However, because of its nonconjugated property and the complexity of existing detection methods, this biomarker cannot be used as the identification standard. We herein present a stable 24(R)-pseudoginsenoside F11 fingerprint spectrum in the terahertz band, thereby proving that F11 can be detected and quantitatively analyzed via terahertz spectroscopy. We also analyzed the sample by high-performance liquid chromatography-triple quadrupole mass spectrometry. The difference between the normalized data for the two analytical methods was less than 5%. Furthermore, P. quinquefolium from different areas and other substances can be clearly distinguished based on these terahertz spectra with a standard principal component analysis. Our method is a fast, simple, and cost-effective approach for identifying and quantitatively analyzing P. quinquefolium.
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Affiliation(s)
- Tianyi Kou
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
| | - Ji Ye
- Department of Pharmacy, Second Military Medical University, Shanghai, China
| | - Jing Wang
- School of Pharmacy, Nanjing Medical University, Nanjing, China
| | - Yan Peng
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University Shanghai, China
| | - Zefang Wang
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
| | - Chenjun Shi
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
| | - Xu Wu
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University Shanghai, China
| | - Xitian Hu
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
| | - Haihong Chen
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
| | - Ling Zhang
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
| | - Xiaohong Chen
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
| | - Yiming Zhu
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University Shanghai, China
| | - Huiliang Li
- Department of Pharmacy, Second Military Medical University, Shanghai, China
| | - Songlin Zhuang
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University Shanghai, China
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6
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Gu H, Shi C, Wu X, Peng Y. Molecular methylation detection based on terahertz metamaterial technology. Analyst 2020; 145:6705-6712. [PMID: 32812556 DOI: 10.1039/d0an01062f] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Terahertz wave has a good ability to identify biomolecules due to its fingerprint spectrum characteristics. However, the minimum detectable limit of terahertz technology by the conventional tablet pressing method is on the order of milligrams, which cannot meet the application requirements of low concentration detection in the biomedical field-near or below micrograms. Here, we proposed a method to enhance the detection sensitivity by designing a metamaterial chip with the absorption-induced transparency (AIT) effect, which can enhance the interaction between terahertz waves and biomolecules and lower the detectable limit. Taking 7-methylguanine (7-MG) as an example, based on its terahertz characteristic absorption peak, we designed a split-ring resonator (SRR) metamaterial chip, which has the advantages of high sensitivity, unlabeled detection, fast response and simple measurement. Its quantitative detection limit can reach 6.30 μg, which is about 500 times smaller than that of the traditional tablet pressing method (2.95 mg). In addition, for methylated and unmethylated substances, the chip exhibits different frequency shifts, which also realizes the qualitative identification effectively. These results provide a reference for the rapid and accurate diagnosis of diseases associated with molecular methylation in clinical medicine.
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Affiliation(s)
- Hongyu Gu
- University of Shanghai for Science and Technology, Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Shanghai Institute of Intelligent Science and Technology, Shanghai 200093, People's Republic of China.
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Wang L, Wu X, Peng Y, Yang Q, Chen X, Wu W, Zhu Y, Zhuang S. Quantitative analysis of homocysteine in liquid by terahertz spectroscopy. BIOMEDICAL OPTICS EXPRESS 2020; 11:2570-2577. [PMID: 32499944 PMCID: PMC7249816 DOI: 10.1364/boe.391894] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 04/07/2020] [Accepted: 04/08/2020] [Indexed: 06/11/2023]
Abstract
Homocysteine (C4H9NO2S) is a variant of the amino acid cysteine, a harmful substance to the human body, which is closely related to cardiovascular disease, senile dementia, fractures, et al. At present, conventional methods for detecting homocysteine in biological samples include high performance liquid chromatography (HPLC), fluorescence polarization immunoassay (FPIA), and enzymatic cycling methods. These methods have the disadvantages of being time-consuming, sample-losing, chemical reagent-using and operation-cumbersome. Here, we present a method for the quantitative detection of homocysteine in liquid based on terahertz spectroscopy. Considering the strong absorption of water for terahertz beam, we also put forward a pretreatment method for drying samples at low temperature. These methods make the detection limit for homocysteine reach 10 µmol/L (human normal concentration). Based on the linear relationship between the homocysteine concentration and the THz spectral intensity, we can successfully achieve quantitative, accurate and real-time detection of homocysteine. As compared to Raman spectroscopy, the correlation coefficient of THz spectrum ( R 16.24 THz 2 = 0.99809) is much larger than that of the Raman spectrum ( R 2558.26 c m - 1 2 = 0.80022, R 2937.32 c m - 1 2 = 0.8028). These results are greatly useful for the accurate evaluation of pathological stage.
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Affiliation(s)
- Liping Wang
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
| | - Xu Wu
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
| | - Yan Peng
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University Shanghai, China
| | - Qingrou Yang
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
| | - Xiaohong Chen
- School of Material Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Wanwan Wu
- School of Material Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Yiming Zhu
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University Shanghai, China
| | - Songlin Zhuang
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai Institute of Intelligent Science and Technology, Shanghai, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University Shanghai, China
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Wu X, Wang L, Peng Y, Wu F, Cao J, Chen X, Wu W, Yang H, Xing M, Zhu Y, Shi Y, Zhuang S. Quantitative analysis of direct oral anticoagulant rivaroxaban by terahertz spectroscopy. Analyst 2020; 145:3909-3915. [PMID: 32301471 DOI: 10.1039/d0an00268b] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Rivaroxaban, as a direct oral anticoagulant, has been widely used in the treatment and prevention of thrombosis disease (TD). However, even if the same dose of rivaroxaban is taken, different pathophysiological characteristics of TD patients determine the differences in plasma concentrations between individuals, leading to the difficulties of dosage selection and plasma concentration control. Conventional rivaroxaban detection methods, including prothrombin time method, anti-Xa assay and liquid chromatography-tandem mass spectrometry (LC-MS/MS), are not widely used in clinical practice due to the limitations of accuracy, speed and cost. Here, we present a simple quantitative detection method for rivaroxaban by terahertz (THz) spectroscopy. Combining density functional theory (DFT) method and THz spectroscopy, the THz absorption peaks of rivaroxaban and the corresponding low-frequency vibrational modes are studied theoretically and experimentally. We find linear relationships between the amplitudes of these characteristic peaks and the concentrations of rivaroxaban. Based on these linear functions, we can analyse the rivaroxaban concentration with a detection time of 1 minute per test and the lowest detection limit of 2 μmol mL-1. As compared to Raman spectroscopy method (its detection limit is about 80 μmol mL-1), our method has more potential and is practical for the clinical quantitative detection of rivaroxaban as well as other direct oral anticoagulants.
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Affiliation(s)
- Xu Wu
- Terahertz Technology Innovation Research Institute, Shanghai Key Lab of Modern Optical System, Terahertz Science Cooperative Innovation Center, University of Shanghai for Science and Technology, Shanghai, P. R. China.
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