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Luo F, Li Z, Shi Y, Sun W, Wang Y, Sun J, Fan Z, Chang Y, Wang Z, Han Y, Zhu Z, Marty JL. Integration of Hollow Microneedle Arrays with Jellyfish-Shaped Electrochemical Sensor for the Detection of Biomarkers in Interstitial Fluid. SENSORS (BASEL, SWITZERLAND) 2024; 24:3729. [PMID: 38931517 PMCID: PMC11207310 DOI: 10.3390/s24123729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 05/24/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024]
Abstract
This study integrates hollow microneedle arrays (HMNA) with a novel jellyfish-shaped electrochemical sensor for the detection of key biomarkers, including uric acid (UA), glucose, and pH, in artificial interstitial fluid. The jellyfish-shaped sensor displayed linear responses in detecting UA and glucose via differential pulse voltammetry (DPV) and chronoamperometry, respectively. Notably, the open circuit potential (OCP) of the system showed a linear variation with pH changes, validating its pH-sensing capability. The sensor system demonstrates exceptional electrochemical responsiveness within the physiological concentration ranges of these biomarkers in simulated epidermis sensing applications. The detection linear ranges of UA, glucose, and pH were 0~0.8 mM, 0~7 mM, and 4.0~8.0, respectively. These findings highlight the potential of the HMNA-integrated jellyfish-shaped sensors in real-world epidermal applications for comprehensive disease diagnosis and health monitoring.
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Affiliation(s)
- Fangfang Luo
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Zhanhong Li
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Yiping Shi
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Wen Sun
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Yuwei Wang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Jianchao Sun
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Zheyuan Fan
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Yanyi Chang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Zifeng Wang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Yutong Han
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Zhigang Zhu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China; (F.L.); (Y.S.); (W.S.); (Y.W.); (J.S.); (Z.F.); (Y.C.); (Z.W.); (Y.H.); (Z.Z.)
| | - Jean-Louis Marty
- UFR Sciences, Université de Perpignan Via Domitia, 52 Avenue Paul Alduy, CEDEX, 66860 Perpignan, France;
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Zhang C, Dang W, Zhang J, Wang C, Zhong P, Wang Z, Yang Y, Wang Y, Yan X. Development of a paper-based transcription aptasensor for convenient urinary uric acid self-testing. Int J Biol Macromol 2024; 271:132241. [PMID: 38768916 DOI: 10.1016/j.ijbiomac.2024.132241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/15/2024] [Accepted: 05/07/2024] [Indexed: 05/22/2024]
Abstract
The abnormal uric acid (UA) level in urine can serve as warning signals of many diseases, such as gout and metabolic cardiovascular diseases. The current methods for detecting UA face limitations of instrument dependence and the requirement for non-invasiveness, making it challenging to fulfill the need for home-based application. In this study, we designed an aptasensor that combined UA-specific transcriptional regulation and a fluorescent RNA aptamer for convenient urinary UA testing. The concentration of UA can be translated into the intensity of fluorescent signals. The aptasensor showed higher sensitivity and more robust anti-interference performance. UA levels in the urine of different volunteers could be accurately tested using this method. In addition, a paper-based aptasensor for UA self-testing was manufactured, in which the urinary UA levels could be determined using a smartphone-based colorimetric approach. This work not only demonstrates a new approach for the design of disease-associated aptasensor, but also offers promising ideas for home-based detection of UA.
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Affiliation(s)
- Chengyu Zhang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Weifan Dang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Jingjing Zhang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Cong Wang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Peng Zhong
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Zhaoxin Wang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Yufan Yang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Yuefei Wang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
| | - Xiaohui Yan
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
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Liu L, Liu G, Mu X, Zhao S, Tian J. Simple enzyme-free detection of uric acid by an in situ fluorescence and colorimetric method based on Co-PBA with high oxidase activity. Analyst 2024; 149:1455-1463. [PMID: 38190248 DOI: 10.1039/d3an01985c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
In this work, we prepared a simple and low-cost cobalt-doped Prussian blue analog (Co-PBA), which can directly oxidize 10-acetyl-3,7-dihydroxyphenoxazine and 3,3',5,5'-tetramethylbenzidine (TMB) to produce resorufin (ox-AR) with high fluorescent quantum yield and ox-TMB with blue color, respectively, without the need for unstable H2O2. Using the Michaelis-Menten curve and Lineweaver-Burk equation, the Michaelis-Menten constant of Co-PBA and the substrate TMB was found to be 0.033 mM, which was much lower than horseradish peroxidase and other reported nanozymes, showing satisfactory substrate affinity. Uric acid (UA) can cause erosion of the Co-PBA structure, and it significantly reduces the catalytic activity of Co-PBA, resulting in the decrease of the fluorescence emission signal of ox-AR and the absorption signal of ox-TMB. Based on this, a simple, sensitive, and fast fluorescence/colorimetric dual-mode uric acid detection platform was established. The detection range for UA by fluorescence method is 0.625-40 μM, and the detection limit (LOD, S/N = 3) is as low as 0.389 μM. The detection system was applied to serum samples with good recovery and can be used for field detection of UA in biological samples under different environments to meet different needs.
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Affiliation(s)
- Lu Liu
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources (Ministry of Education of China), School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China.
| | - Guang Liu
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources (Ministry of Education of China), School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China.
| | - Xiaomei Mu
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources (Ministry of Education of China), School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China.
| | - Shulin Zhao
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources (Ministry of Education of China), School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China.
| | - Jianniao Tian
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources (Ministry of Education of China), School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, China.
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Han J, Zhang Y, Lv X, Fan D, Dong S. A facile, low-cost bimetallic iron-nickel MOF nanozyme-propelled ratiometric fluorescent sensor for highly sensitive and selective uric acid detection and its smartphone application. NANOSCALE 2024; 16:1394-1405. [PMID: 38165141 DOI: 10.1039/d3nr05028a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
As a kind of well-known disease biomarker, uric acid (UA) is closely associated with normal metabolism and health. Despite versatile nanozymes facilitating the analysis of UA, most previous works could only generate single-signal outputs with unsatisfactory detection performance. Exploring a novel ratiometric fluorescent UA sensor with high sensitivity, reliability and portable sensing ability based on facile, low-cost nanozymes is still challenging. Herein, we report the first metal-organic-framework (MOF) nanozyme-originated ratiometric fluorescent UA sensor based on Fe3Ni-MOF-NH2 propelled UA/uricase/o-phenylenediamine tandem catalytic reaction. Different from previous reports, the peroxidase-like property and fluorescence of Fe3Ni-MOF-NH2 were simultaneously employed. In the absence of UA, only the MOF's fluorescence at 430 nm (FI430) can be observed, while the addition of UA will initiate UA/uricase catalytic reaction, and the generated H2O2 could oxidize o-phenylenediamine into highly fluorescent 2,3-diaminophenazine (DAP) (emission at 565 nm, FI565) under the catalysis of the MOF nanozyme. Coincidently, MOF's fluorescence can be quenched by DAP via the inner filter effect, resulting in a low FI430 value and high FI565 value, respectively. Therefore, H2O2 and UA can be alternatively detected through monitoring the above contrary fluorescence changes. The limit of detection for UA is 24 nM, which is much lower than those in most previous works, and the lowest among nanozyme-based ratiometric fluorescent UA sensors reported to date. Moreover, the portable sensing of UA via smartphone-based RGB analysis was facilely achieved by virtue of the above nanozyme-propelled tandem catalytic system, and MOF nanozyme-based molecular contrary logic pairs were further implemented accordingly.
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Affiliation(s)
- Jiawen Han
- Laboratory for Marine Drugs and Bioproducts, National Laboratory for Marine Science and Technology; Key Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, Shandong, 266003, China.
| | - Yuwei Zhang
- Laboratory for Marine Drugs and Bioproducts, National Laboratory for Marine Science and Technology; Key Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, Shandong, 266003, China.
| | - Xujuan Lv
- Laboratory for Marine Drugs and Bioproducts, National Laboratory for Marine Science and Technology; Key Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, Shandong, 266003, China.
| | - Daoqing Fan
- Laboratory for Marine Drugs and Bioproducts, National Laboratory for Marine Science and Technology; Key Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, Shandong, 266003, China.
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China
| | - Shaojun Dong
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China
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Wang D, Ding X, Xie J, Wang J, Li G, Zhou X. A three-in-one versatile sensor for concise detecting biogenic amines and beef freshness. Anal Chim Acta 2024; 1285:342025. [PMID: 38057062 DOI: 10.1016/j.aca.2023.342025] [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: 10/05/2023] [Revised: 11/05/2023] [Accepted: 11/10/2023] [Indexed: 12/08/2023]
Abstract
Biogenic amines (BAs), as important indicators for evaluating food spoilage caused by fermentation processes or microbial activities, present significant risks of food safety. Consequently, the development of a simple, sensitive, and selective detection method for amines is of great importance. In this study, we proposed a three-in-one sensor 3,6-bis(dimethylamino)-9-(ethylthio)xanthylium (PSE) for high sensitivity and selectivity detecting BAs with multimodal responses, including olfactory, colorimetric, and fluorescent signals, thus facilitating convenient real-time detection of BAs. Mechanism study indicated that the nucleophilic substitution of PSE with BAs induced such rapid multi-responses with a low detection limit (LOD = 0.03 μM). We further fabricated PSE loaded paper for portable detection of BAs vapors. And the accurate determination of BAs levels is achieved through analyzing the RGB color mode. Finally, we successfully applied these test strips for non-destructive assessing meat beef freshness with the assistance of a smartphone in on-site scenarios.
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Affiliation(s)
- Dongjuan Wang
- College of Chemistry and Chemical Engineering, Qingdao University, 266071, China
| | - Xiuqian Ding
- College of Chemistry and Chemical Engineering, Qingdao University, 266071, China
| | - Jinling Xie
- Food Research Center, Agricultural College of Yanbian University, Park Road 977, Yanji, 133000, China; Key Innovation Laboratory for Deep and Intensive Processing of Yanbian High Quality Beef, Ministry of Agriculture and Rural Affairs, Park Road 977, Yanji, 133000, China
| | - Juan Wang
- Food Research Center, Agricultural College of Yanbian University, Park Road 977, Yanji, 133000, China; Key Innovation Laboratory for Deep and Intensive Processing of Yanbian High Quality Beef, Ministry of Agriculture and Rural Affairs, Park Road 977, Yanji, 133000, China.
| | - Guanhao Li
- Food Research Center, Agricultural College of Yanbian University, Park Road 977, Yanji, 133000, China; Key Innovation Laboratory for Deep and Intensive Processing of Yanbian High Quality Beef, Ministry of Agriculture and Rural Affairs, Park Road 977, Yanji, 133000, China.
| | - Xin Zhou
- College of Chemistry and Chemical Engineering, Qingdao University, 266071, China.
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Turan K, Üğe A, Zeybek B, Aydoğdu Tiğ G. Development of a facile electrochemical sensor based on GCE modified with one-step prepared PNMA-CeO 2-fMWCNTs composite for simultaneous detection of UA and 5-FU. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 16:40-50. [PMID: 38054482 DOI: 10.1039/d3ay02099a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
In this study, a poly(N-methyl aniline)-cerium oxide-functionalized MWCNTs (PNMA-CeO2-fMWCNTs) composite was synthesized in a one-step preparation technique. As a highly efficient modifier, the composite was used to modify the glassy carbon electrode surface for simultaneous detection of uric acid (UA) and 5-fluorouracil (5-FU). Morphological characterization of the GCE/PNMA-CeO2-fMWCNTs was studied using scanning electron microscopy. Structural characterization of the composite was performed using X-ray diffraction and Fourier-transformed infrared spectroscopy. Electron transfer properties of the prepared electrodes were carried out with electrochemical impedance spectroscopy and cyclic voltammetry. The linear working range for UA and 5-FU was found to be 0.25-50 μM and 0.5-750 μM, respectively. The limit of detection values for UA and 5-FU were 0.04 μM and 0.19 μM, respectively. The effects of various interfering substances on the electrochemical response of UA and 5-FU were investigated. The GCE/PNMA-CeO2-fMWCNTs sensor has excellent stability, reproducibility, anti-interference ability, and reproducibility. To demonstrate the practical application of the sensing platform, fetal bovine serum was selected and tested in the spiked samples, and satisfactory results were obtained. The prepared composite proved to be a promising platform for simple, rapid, and simultaneous analysis of UA and 5-FU.
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Affiliation(s)
- Kübra Turan
- Ankara University, Faculty of Science, Department of Chemistry, Ankara, 06100, Turkey.
| | - Ahmet Üğe
- Kütahya Dumlupınar University, Faculty of Science and Arts, Department of Chemistry, Kütahya, 43100, Turkey
| | - Bülent Zeybek
- Kütahya Dumlupınar University, Faculty of Science and Arts, Department of Chemistry, Kütahya, 43100, Turkey
| | - Gözde Aydoğdu Tiğ
- Ankara University, Faculty of Science, Department of Chemistry, Ankara, 06100, Turkey.
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Hazra P, Vadnere S, Mishra S, Halder S, Mandal S, Ghosh P. Review on Uric Acid Recognition by MOFs with a Future in Machine Learning. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37905918 DOI: 10.1021/acsami.3c11210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Uric acid (UA) is produced from purine metabolism and serves as a prevalent biomarker for multiple diseases including cancer. Hyperuricemia or hypouricemia can cause multiple dysfunctions throughout the biological processes. Consequently, there is a pressing need for monitoring UA concentration in body fluid. While clinical methods are known, the availability of a point-of-care testing (PoCT) kit remains conspicuously absent. In the case of electrochemical recognition of UA, the oxidation potential of ascorbic acid closely aligns with that of UA and thus it hinders the detection process, which eventually may result in false positive signals. Several chemosensors are known in the field of supramolecular chemistry, and metal-organic frameworks (MOFs) are one of the best-performing contenders due to their robustness, stability, and versatile structures. In this review, we tried to unbox the up-to-date development of UA sensing by MOFs. We delve into the state of UA recognition by MOFs, exploring both electrochemical and fluorometric pathways and drawing comparisons with structurally similar probes like covalent organic frameworks (COFs) to understand/establish the advantages of MOFs specifically in UA sensing. In the absence of a PoCT kit, we have provided the conceptual outlook for designing a PoCT device termed a "Urimeter" via electrochemical operation. For the first time, we have proposed different methods of how UA sensing can be tied up with artificial intelligence and machine learning (AI-ML).
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Affiliation(s)
- Poimanti Hazra
- School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai Campus, Chennai 600127, Tamil Nadu, India
| | - Srushti Vadnere
- School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai Campus, Chennai 600127, Tamil Nadu, India
| | - Saswat Mishra
- School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai Campus, Chennai 600127, Tamil Nadu, India
| | - Shibashis Halder
- Department of Chemistry, Tej Narayan Banaili College, Bhagalpur 812007, Bihar, India
| | - Shaswati Mandal
- Schulich Faculty of Chemistry, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Pritam Ghosh
- Chemistry Division, School of Advanced Sciences (SAS), Vellore Institute of Technology, Chennai Campus, Chennai 600127, Tamil Nadu, India
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