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Jiang M, Gupta A, Zhang X, Chattopadhyay AN, Fedeli S, Huang R, Yang J, Rotello VM. Identification of Proteins Using Supramolecular Gold Nanoparticle-Dye Sensor Arrays. ANALYSIS & SENSING 2023; 3:e202200080. [PMID: 37250385 PMCID: PMC10211330 DOI: 10.1002/anse.202200080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Indexed: 05/31/2023]
Abstract
The rapid detection of proteins is very important in the early diagnosis of diseases. Gold nanoparticles (AuNPs) can be engineered to bind biomolecules efficiently and differentially. Cross-reactive sensor arrays have high sensitivity for sensing proteins using differential interactions between sensor elements and bioanalytes. A new sensor array was fabricated using surface-charged AuNPs with dyes supramolecularly encapsulated into the AuNP monolayer. The fluorescence of dyes is partially quenched by the AuNPs and can be restored or further quenched due to the differential interactions between AuNPs with proteins. This sensing system enables the discrimination of proteins in both buffer and human serum, providing a potential tool for real-world disease diagnostics.
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Affiliation(s)
- Mingdi Jiang
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Aarohi Gupta
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Xianzhi Zhang
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Aritra Nath Chattopadhyay
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Stefano Fedeli
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Rui Huang
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Junwhee Yang
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Vincent M Rotello
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
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2
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Harrison EE, Waters ML. Application of an Imprint‐and‐Report Sensor Array for Detection of the Dietary Metabolite Trimethylamine N‐Oxide and Its Precursors in Complex Mixtures. Angew Chem Int Ed Engl 2022; 61:e202205193. [DOI: 10.1002/anie.202205193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Emily E. Harrison
- Department of Chemistry University of North Carolina at Chapel Hill Chapel Hill NC 27599 USA
| | - Marcey L. Waters
- Department of Chemistry University of North Carolina at Chapel Hill Chapel Hill NC 27599 USA
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Harrison EE, Waters ML. Application of an Imprint‐and‐Report Sensor Array for Detection of the Dietary Metabolite Trimethylamine N‐Oxide and Its Precursors in Complex Mixtures. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202205193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Emily E. Harrison
- University of North Carolina at Chapel Hill Kenan Science Library: The University of North Carolina at Chapel Hill Chemistry UNITED STATES
| | - Marcey L. Waters
- UNC Chapel Hill Dept. of Chemistry CB 3290 27599 Chapel Hill UNITED STATES
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4
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Deng Y, Lin Z, Cheng Y. Coding recognition of the dose-effect interdependence of small biomolecules encrypted on paired chromatographic-based microassay arrays. Anal Bioanal Chem 2022; 414:5991-6001. [PMID: 35680658 PMCID: PMC9183755 DOI: 10.1007/s00216-022-04162-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/26/2022] [Accepted: 05/31/2022] [Indexed: 11/29/2022]
Abstract
The discovery of small biomolecules has suffered from the lack of a comprehensive framework to express the intrinsic correlation between bioactivity and the contribution from small molecules in complex samples with molecular and bioactivity diversity. Here, by mapping a sample’s 2D-HPTLC fingerprint to microplates, paired chromatographic-based microassay arrays are created, which can be used as quasi-chips to characterize multiple attributes of chromatographic components; as the array differential expression of the bioactivity and molecular attributes of irregular chromatographic spots for dose–effect interdependent encoding; and also as the automatic-collimated array mosaics of the multi-attributes of each component itself encrypted by its chromatographic fingerprint. Based on this homologous framework, we propose a correlating recognition strategy for small biomolecules through their self-consistent chromatographic behavior characteristics. In the approach, the small biomolecule recognition in diverse compounds is transformed into a constraint satisfaction problem, which is addressed through examining the dose–effect interdependence of the homologous 2D code pairs by an array matching algorithm, instead of preparing diverse compound monomers of complex test samples for identification item-by-item. Furthermore, considering the dose–effect interdependent 2D code pairs as links and the digital-specific quasimolecular ions as nodes, an extendable self-consistent framework that correlates mammalian cell phenotypic and target-based bioassays with small biomolecules is established. Therefore, the small molecule contributions and the correlations of bioactivities, as well as their pathways, can be comprehensively revealed, so as to improve the reliability and efficiency of screening. This strategy was successfully applied to galangal, and demonstrated the high-throughput digital preliminary screening of small biomolecules in a natural product.
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Affiliation(s)
- Yifeng Deng
- Guangdong Key Laboratory for Research & Development of Natural Drugs, Guangdong Medical University, Zhanjiang, 524023, China.
| | - Zhenpeng Lin
- Guangdong Key Laboratory for Research & Development of Natural Drugs, Guangdong Medical University, Zhanjiang, 524023, China
| | - Yuan Cheng
- Guangdong Key Laboratory for Research & Development of Natural Drugs, Guangdong Medical University, Zhanjiang, 524023, China
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Lee JM, Devaraj V, Jeong NN, Lee Y, Kim YJ, Kim T, Yi SH, Kim WG, Choi EJ, Kim HM, Chang CL, Mao C, Oh JW. Neural mechanism mimetic selective electronic nose based on programmed M13 bacteriophage. Biosens Bioelectron 2021; 196:113693. [PMID: 34700263 DOI: 10.1016/j.bios.2021.113693] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 09/30/2021] [Accepted: 10/02/2021] [Indexed: 01/03/2023]
Abstract
The electronic nose is a reliable practical sensor device that mimics olfactory organs. Although numerous studies have demonstrated excellence in detecting various target substances with the help of ideal models, biomimetic approaches still suffer in practical realization because of the inability to mimic the signal processing performed by olfactory neural systems. Herein, we propose an electronic nose based on the programable surface chemistry of M13 bacteriophage, inspired by the neural mechanism of the mammalian olfactory system. The neural pattern separation (NPS) was devised to apply the pattern separation that operates in the memory and learning process of the brain to the electronic nose. We demonstrate an electronic nose in a portable device form, distinguishing polycyclic aromatic compounds (harmful in living environment) in an atomic-level resolution (97.5% selectivity rate) for the first time. Our results provide practical methodology and inspiration for the second-generation electronic nose development toward the performance of detection dogs (K9).
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Affiliation(s)
- Jong-Min Lee
- Bio-IT Fusion Technology Research Institute, Pusan National University, Busan, 46241, South Korea; School of Nano Convergence Technology, Hallym University, Chuncheon, Gangwon-do, 24252, South Korea
| | - Vasanthan Devaraj
- Bio-IT Fusion Technology Research Institute, Pusan National University, Busan, 46241, South Korea
| | - Na-Na Jeong
- Department of Public Health Science, Graduate School of Korea University, Seoul, 02841, South Korea
| | - Yujin Lee
- Department of Nano Fusion Technology, Pusan National University, Busan, 46241, South Korea
| | - Ye-Ji Kim
- Department of Nano Fusion Technology, Pusan National University, Busan, 46241, South Korea
| | - Taehyeong Kim
- Finance·Fishery·Manufacture Industrial Mathematics Center on Big Data and Department of Mathematics, Pusan National University, Busan, 46241, South Korea
| | - Seung Heon Yi
- Finance·Fishery·Manufacture Industrial Mathematics Center on Big Data and Department of Mathematics, Pusan National University, Busan, 46241, South Korea
| | - Won-Geun Kim
- Bio-IT Fusion Technology Research Institute, Pusan National University, Busan, 46241, South Korea
| | - Eun Jung Choi
- Bio-IT Fusion Technology Research Institute, Pusan National University, Busan, 46241, South Korea
| | - Hyun-Min Kim
- Finance·Fishery·Manufacture Industrial Mathematics Center on Big Data and Department of Mathematics, Pusan National University, Busan, 46241, South Korea.
| | - Chulhun L Chang
- Department of Laboratory Medicine, College of Medicine, Pusan National University, Yangsan, 50612, South Korea.
| | - Chuanbin Mao
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, United States.
| | - Jin-Woo Oh
- Bio-IT Fusion Technology Research Institute, Pusan National University, Busan, 46241, South Korea; Department of Nano Fusion Technology, Pusan National University, Busan, 46241, South Korea.
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Pushina M, Farshbaf S, Mochida W, Kanakubo M, Nishiyabu R, Kubo Y, Anzenbacher P. A Fluorescence Sensor Array Based on Zinc(II)-Carboxyamidoquinolines: Toward Quantitative Detection of ATP*. Chemistry 2021; 27:11344-11351. [PMID: 34129701 DOI: 10.1002/chem.202100896] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Indexed: 02/06/2023]
Abstract
The newly prepared fluorescent carboxyamidoquinolines (1-3) and their Zn(II) complexes (Zn@1-Zn@3) were used to bind and sense various phosphate anions utilizing a relay mechanism, in which the Zn(II) ion migrates from the Zn@1-Zn@3 complexes to the phosphate, namely adenosine 5'-triphosphate (ATP) and pyrophosphate (PPi), a process accompanied by a dramatic change in fluorescence. Zn@1-Zn@3 assemblies interact with adenine nucleotide phosphates while displaying an analyte-specific response. This process was investigated using UV-vis, fluorescence, and NMR spectroscopy. It is shown that the different binding selectivity and the corresponding fluorescence response enable differentiation of adenosine 5'-triphosphate (ATP), adenosine 5'-diphosphate (ADP), pyrophosphate (PPi), and phosphate (Pi). The cross-reactive nature of the carboxyamidoquinolines-Zn(II) sensors in conjunction with linear discriminant analysis (LDA) was utilized in a simple fluorescence chemosensor array that allows for the identification of ATP, ADP, PPi, and Pi from 8 other anions including adenosine 5'-monophosphate (AMP) with 100 % correct classification. Furthermore, the support vector machine algorithm, a machine learning method, allowed for highly accurate quantitation of ATP in the range of 5-100 μM concentration in unknown samples with error <2.5 %.
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Affiliation(s)
- Mariia Pushina
- Department of Chemistry, Bowling Green State University, Bowling Green, OH, 43403, USA
| | - Sepideh Farshbaf
- Department of Chemistry, Bowling Green State University, Bowling Green, OH, 43403, USA
| | - Wakana Mochida
- Department of Applied Chemistry, Graduate School of Urban Environmental Sciences, Tokyo Metropolitan University, Tokyo, 192-0397, Japan
| | - Masashi Kanakubo
- Department of Applied Chemistry, Graduate School of Urban Environmental Sciences, Tokyo Metropolitan University, Tokyo, 192-0397, Japan
| | - Ryuhei Nishiyabu
- Department of Applied Chemistry, Graduate School of Urban Environmental Sciences, Tokyo Metropolitan University, Tokyo, 192-0397, Japan
| | - Yuji Kubo
- Department of Applied Chemistry, Graduate School of Urban Environmental Sciences, Tokyo Metropolitan University, Tokyo, 192-0397, Japan
| | - Pavel Anzenbacher
- Department of Chemistry, Bowling Green State University, Bowling Green, OH, 43403, USA
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Feng T, Ji W, Zhang Y, Wu F, Tang Q, Wei H, Mao L, Zhang M. Zwitterionic Polydopamine Engineered Interface for In Vivo Sensing with High Biocompatibility. Angew Chem Int Ed Engl 2020. [DOI: 10.1002/ange.202010675] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Taotao Feng
- Department of Chemistry Renmin University of China Beijing 100872 P. R. China
| | - Wenliang Ji
- Department of Chemistry Renmin University of China Beijing 100872 P. R. China
| | - Yue Zhang
- Department of Chemistry Renmin University of China Beijing 100872 P. R. China
| | - Fei Wu
- Beijing National Laboratory for Molecular Sciences Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 P. R. China
| | - Qiao Tang
- Department of Chemistry Renmin University of China Beijing 100872 P. R. China
| | - Huan Wei
- Beijing National Laboratory for Molecular Sciences Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 P. R. China
| | - Lanqun Mao
- Beijing National Laboratory for Molecular Sciences Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 P. R. China
| | - Meining Zhang
- Department of Chemistry Renmin University of China Beijing 100872 P. R. China
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8
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Feng T, Ji W, Zhang Y, Wu F, Tang Q, Wei H, Mao L, Zhang M. Zwitterionic Polydopamine Engineered Interface for In Vivo Sensing with High Biocompatibility. Angew Chem Int Ed Engl 2020; 59:23445-23449. [DOI: 10.1002/anie.202010675] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Taotao Feng
- Department of Chemistry Renmin University of China Beijing 100872 P. R. China
| | - Wenliang Ji
- Department of Chemistry Renmin University of China Beijing 100872 P. R. China
| | - Yue Zhang
- Department of Chemistry Renmin University of China Beijing 100872 P. R. China
| | - Fei Wu
- Beijing National Laboratory for Molecular Sciences Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 P. R. China
| | - Qiao Tang
- Department of Chemistry Renmin University of China Beijing 100872 P. R. China
| | - Huan Wei
- Beijing National Laboratory for Molecular Sciences Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 P. R. China
| | - Lanqun Mao
- Beijing National Laboratory for Molecular Sciences Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences (CAS) Beijing 100190 P. R. China
| | - Meining Zhang
- Department of Chemistry Renmin University of China Beijing 100872 P. R. China
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9
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Liu Y, Gill AD, Duan Y, Perez L, Hooley RJ, Zhong W. A supramolecular sensor array for selective immunoglobulin deficiency analysis. Chem Commun (Camb) 2019; 55:11563-11566. [DOI: 10.1039/c9cc06064b] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
A host–guest based fluorescence sensor array can fully discriminate five structurally similar Ig protein isotypes, and recognize Ig deficiencies in serum.
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Affiliation(s)
- Yang Liu
- University of California – Riverside
- Environmental Toxicology Program
- Riverside
- USA
| | - Adam D. Gill
- University of California – Riverside
- Department of Biochemistry and Molecular Biology
- Riverside
- USA
| | - Yaokai Duan
- University of California – Riverside
- Department of Chemistry
- Riverside
- USA
| | - Lizeth Perez
- University of California – Riverside
- Department of Chemistry
- Riverside
- USA
| | - Richard J. Hooley
- University of California – Riverside
- Department of Biochemistry and Molecular Biology
- Riverside
- USA
- University of California – Riverside
| | - Wenwan Zhong
- University of California – Riverside
- Environmental Toxicology Program
- Riverside
- USA
- University of California – Riverside
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