1
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Gandra UR, Axthelm J, Bellstedt P, Singh A, Schiller A, Mohideen MIH, Mandal AK. 19F NMR Probes: Molecular Logic Material Implications for the Anion Discrimination and Chemodosimetric Approach for Selective Detection of H 2O 2. Anal Chem 2024; 96:11232-11238. [PMID: 38961620 DOI: 10.1021/acs.analchem.4c00735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
Detection and discrimination of similar solvation energies of bioanalytes are vital in medical and practical applications. Currently, various advanced techniques are equipped to recognize these crucial bioanalytes. Each strategy has its own benefits and limitations. One-dimensional response, lack of discrimination power for anions, and reactive oxygen species (ROS) generally limit the utilized fluorescent probe. Therefore, a cutting-edge, refined method is expected to conquer these limitations. The use of 19F NMR spectroscopy for detecting and discriminating essential analytes in practical applications is an emerging technique. As an alternative strategy, we report two fluorinated boronic acid-appended pyridinium salts 5-F-o-BBBpy (1) and 5-CF3-o-BBBpy (2). Probe (1) acts as a chemosensor for identifying and discriminating inorganic anions with similar solvation energies with strong bidirectional 19F shifts in the lower ppm range. Probe (2) turns as a chemo dosimeter for the selective detection and precise quantification of hydrogen peroxide (H2O2) among other competing ROS. To demonstrate real-life applicability, we successfully quantified H2O2 via probe (2) in different pharmaceutical, dental, and cosmetic samples. We found that tuning the -F/-CF3 moiety to the arene boronic acid enables the π-conjugation, a crucial prerequisite for the discrimination of anions and H2O2. Characteristic 19F NMR fingerprints in the presence of anions revealed a complementary implication (IMP)/not implication (NIMP) logic function. Finally, the 16 distinct binary Boolean operations on two logic values are defined for "functional completeness" using the special property of the IMP gate. Boolean logic's ability to handle information by utilizing characteristic 19F NMR fingerprints has not been seen previously in a single chemical platform for detecting and differentiating such anions.
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Affiliation(s)
- Upendar Reddy Gandra
- Institute for Inorganic and Analytical Chemistry (IAAC), Friedrich Schiller University Jena, Humboldtstr. 8, D-07743 Jena, Germany
- Department of Chemistry, Khalifa University of Science and Technology, Main Campus, P.O. Box 127788, Abu Dhabi, United Arab Emirates
| | - Jörg Axthelm
- Institute for Inorganic and Analytical Chemistry (IAAC), Friedrich Schiller University Jena, Humboldtstr. 8, D-07743 Jena, Germany
| | - Peter Bellstedt
- Institute for Inorganic and Analytical Chemistry (IAAC), Friedrich Schiller University Jena, Humboldtstr. 8, D-07743 Jena, Germany
| | - Akanksha Singh
- Analytical and Environmental Science Division and Centralized Instrument Facility, CSIR-Central Salt and Marine Chemicals Research Institute (CSIR-CSMCRI), Bhavnagar 364002, Gujarat, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Alexander Schiller
- Institute for Inorganic and Analytical Chemistry (IAAC), Friedrich Schiller University Jena, Humboldtstr. 8, D-07743 Jena, Germany
| | - M Infas H Mohideen
- Department of Chemistry, Khalifa University of Science and Technology, Main Campus, P.O. Box 127788, Abu Dhabi, United Arab Emirates
- Center for Catalysis and Separations, Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi, United Arab Emirates
| | - Amal Kumar Mandal
- Analytical and Environmental Science Division and Centralized Instrument Facility, CSIR-Central Salt and Marine Chemicals Research Institute (CSIR-CSMCRI), Bhavnagar 364002, Gujarat, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
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2
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Franco-Ulloa S, Cesari A, Riccardi L, De Biasi F, Rosa-Gastaldo D, Mancin F, De Vivo M, Rastrelli F. Molecular Mechanisms Underlying Detection Sensitivity in Nanoparticle-Assisted NMR Chemosensing. J Phys Chem Lett 2023; 14:6912-6918. [PMID: 37498189 PMCID: PMC10405269 DOI: 10.1021/acs.jpclett.3c01005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/11/2023] [Indexed: 07/28/2023]
Abstract
Nanoparticle-assisted nuclear magnetic resonance (NMR) chemosensing exploits monolayer-protected nanoparticles as supramolecular hosts to detect small molecules in complex mixtures via nuclear Overhauser effect experiments with detection limits down to the micromolar range. Still, the structure-sensitivity relationships at the basis of such detection limits are little understood. In this work, we integrate NMR spectroscopy and atomistic molecular dynamics simulations to examine the covariates that affect the sensitivity of different NMR chemosensing experiments [saturation transfer difference (STD), water STD, and high-power water-mediated STD]. Our results show that the intensity of the observed signals correlates with the number and duration of the spin-spin interactions between the analytes and the nanoparticles and/or between the analytes and the nanoparticles' solvation molecules. In turn, these parameters depend on the location and dynamics of each analyte inside the monolayer. This insight will eventually facilitate the tailoring of experimental and computational setups to the analyte's chemistry, making NMR chemosensing an even more effective technique in practical use.
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Affiliation(s)
- Sebastian Franco-Ulloa
- Molecular
Modeling and Drug Discovery Lab, Istituto
Italiano di Tecnologia, via Morego 30, 16163 Genova, Italy
- Expert
Analytics, Møllergata
8, 0179 Oslo, Norway
| | - Andrea Cesari
- Department
of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy
| | - Laura Riccardi
- Molecular
Modeling and Drug Discovery Lab, Istituto
Italiano di Tecnologia, via Morego 30, 16163 Genova, Italy
| | - Federico De Biasi
- Department
of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy
| | - Daniele Rosa-Gastaldo
- Department
of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy
| | - Fabrizio Mancin
- Department
of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy
| | - Marco De Vivo
- Molecular
Modeling and Drug Discovery Lab, Istituto
Italiano di Tecnologia, via Morego 30, 16163 Genova, Italy
| | - Federico Rastrelli
- Department
of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy
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3
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Liu C, Li W, Zhang W, Zhao H, He G, Li C, Wang C, Li G. AIE-doped Poly(Ionic Liquid) Photonic Spheres for the Discrimination of Psychoactive Substances. Chemistry 2022; 29:e202203616. [PMID: 36576302 DOI: 10.1002/chem.202203616] [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: 11/21/2022] [Revised: 12/27/2022] [Accepted: 12/28/2022] [Indexed: 12/29/2022]
Abstract
Drugs of abuse has drawn intense attention due to increasing concerns to public health and safety. The construction of a sensing platform with the capability to identify them remains a big challenge because of the limitations of synthetic complexity, sensing scope and receptor extendibility. Here a kind of poly(ionic liquid) (PIL) photonic crystal spheres doped with aggregation-induced emission (AIE) luminogens was developed. As diverse noncovalent interactions involve in PIL moieties, the single sphere shows different binding affinity to a broad range of psychoactive substances. Furthermore, the dual-channel signals arising from photonic crystal structures and sensitive AIE-luminogens provide high-dimensional information for discriminative detection of targets, even for molecules with slight structural differences. More importantly, such single sphere sensing platform could be flexibly customized through ion-exchange, showing great extendibility to fabricate high-efficiency/high-throughput sensing arrays without tedious synthesis.
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Affiliation(s)
- Chengcheng Liu
- Department of Chemistry Key Lab of Organic Optoelectronics & Molecular Engineering, Tsinghua University, Beijing, 100084, P. R. China.,Xingzhi Academy, The Affiliated High School of Peking University, Beijing, 100086, P. R. China
| | - Wenyun Li
- Department of Chemistry Key Lab of Organic Optoelectronics & Molecular Engineering, Tsinghua University, Beijing, 100084, P. R. China
| | - Wanlin Zhang
- Department of Chemistry Key Lab of Organic Optoelectronics & Molecular Engineering, Tsinghua University, Beijing, 100084, P. R. China
| | - Hongwei Zhao
- Department of Chemistry Key Lab of Organic Optoelectronics & Molecular Engineering, Tsinghua University, Beijing, 100084, P. R. China
| | - Guokang He
- Department of Chemistry Key Lab of Organic Optoelectronics & Molecular Engineering, Tsinghua University, Beijing, 100084, P. R. China
| | - Chi Li
- School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China
| | - Chen Wang
- School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China
| | - Guangtao Li
- Department of Chemistry Key Lab of Organic Optoelectronics & Molecular Engineering, Tsinghua University, Beijing, 100084, P. R. China
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4
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Xu Z, Gu S, Li Y, Wu J, Zhao Y. Recognition-Enabled Automated Analyte Identification via 19F NMR. Anal Chem 2022; 94:8285-8292. [PMID: 35622989 DOI: 10.1021/acs.analchem.2c00642] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Nuclear magnetic resonance (NMR) is an indispensable tool for structural elucidation and noninvasive analysis. Automated identification of analytes with NMR is highly pursued in metabolism research and disease diagnosis; however, this process is often complicated by the signal overlap and the sample matrix. We herein report a detection scheme based on 19F NMR spectroscopy and dynamic recognition, which effectively simplifies the detection signal and mitigates the influence of the matrix on the detection. It is demonstrated that this approach can not only detect and differentiate capsaicin and dihydrocapsaicin in complex real-world samples but also quantify the ibuprofen content in sustained-release capsules. Based on the 19F signals obtained in the detection using a set of three 19F probes, automated analyte identification is achieved, effectively reducing the odds of misrecognition caused by structural similarity.
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Affiliation(s)
- Zhenchuang Xu
- Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Siyi Gu
- Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Yipeng Li
- Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Jian Wu
- Instrumental Analysis Center, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Yanchuan Zhao
- Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China.,Key Laboratory of Energy Regulation Materials, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
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5
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Krämer J, Kang R, Grimm LM, De Cola L, Picchetti P, Biedermann F. Molecular Probes, Chemosensors, and Nanosensors for Optical Detection of Biorelevant Molecules and Ions in Aqueous Media and Biofluids. Chem Rev 2022; 122:3459-3636. [PMID: 34995461 PMCID: PMC8832467 DOI: 10.1021/acs.chemrev.1c00746] [Citation(s) in RCA: 109] [Impact Index Per Article: 54.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Synthetic molecular probes, chemosensors, and nanosensors used in combination with innovative assay protocols hold great potential for the development of robust, low-cost, and fast-responding sensors that are applicable in biofluids (urine, blood, and saliva). Particularly, the development of sensors for metabolites, neurotransmitters, drugs, and inorganic ions is highly desirable due to a lack of suitable biosensors. In addition, the monitoring and analysis of metabolic and signaling networks in cells and organisms by optical probes and chemosensors is becoming increasingly important in molecular biology and medicine. Thus, new perspectives for personalized diagnostics, theranostics, and biochemical/medical research will be unlocked when standing limitations of artificial binders and receptors are overcome. In this review, we survey synthetic sensing systems that have promising (future) application potential for the detection of small molecules, cations, and anions in aqueous media and biofluids. Special attention was given to sensing systems that provide a readily measurable optical signal through dynamic covalent chemistry, supramolecular host-guest interactions, or nanoparticles featuring plasmonic effects. This review shall also enable the reader to evaluate the current performance of molecular probes, chemosensors, and nanosensors in terms of sensitivity and selectivity with respect to practical requirement, and thereby inspiring new ideas for the development of further advanced systems.
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Affiliation(s)
- Joana Krämer
- Institute
of Nanotechnology, Karlsruhe Institute of
Technology (KIT), Hermann-von-Helmholtz Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Rui Kang
- Institute
of Nanotechnology, Karlsruhe Institute of
Technology (KIT), Hermann-von-Helmholtz Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Laura M. Grimm
- Institute
of Nanotechnology, Karlsruhe Institute of
Technology (KIT), Hermann-von-Helmholtz Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Luisa De Cola
- Institute
of Nanotechnology, Karlsruhe Institute of
Technology (KIT), Hermann-von-Helmholtz Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
- Dipartimento
DISFARM, University of Milano, via Camillo Golgi 19, 20133 Milano, Italy
- Department
of Molecular Biochemistry and Pharmacology, Instituto di Ricerche Farmacologiche Mario Negri, IRCCS, 20156 Milano, Italy
| | - Pierre Picchetti
- Institute
of Nanotechnology, Karlsruhe Institute of
Technology (KIT), Hermann-von-Helmholtz Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
- P.P.: email,
| | - Frank Biedermann
- Institute
of Nanotechnology, Karlsruhe Institute of
Technology (KIT), Hermann-von-Helmholtz Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
- F.B.: email,
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6
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Cesari A, Rosa-Gastaldo D, Pedrini A, Rastrelli F, Dalcanale E, Pinalli R, Mancin F. Selective NMR detection of N-methylated amines using cavitand-decorated silica nanoparticles as receptors. Chem Commun (Camb) 2022; 58:10861-10864. [DOI: 10.1039/d2cc04199e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
We report a strategy for the realization of NMR chemosensors based on the spontaneous self-assembly of lower rim pyridinium-functionalized tetraphopshonate cavitands on commercial silica nanoparticles. These nanohybrids enable the selective...
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7
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Direct quantification of cysteine and glutathione by 1H NMR based on β-cyclodextrin modified silver nanoparticles. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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8
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Riccardi L, Decherchi S, Rocchia W, Zanoni G, Cavalli A, Mancin F, De Vivo M. Molecular Recognition by Gold Nanoparticle-Based Receptors as Defined through Surface Morphology and Pockets Fingerprint. J Phys Chem Lett 2021; 12:5616-5622. [PMID: 34110174 PMCID: PMC8280747 DOI: 10.1021/acs.jpclett.1c01365] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 05/29/2021] [Indexed: 06/12/2023]
Abstract
Ligand shell-protected gold nanoparticles can form nanoreceptors that recognize and bind to specific molecules in solution, with numerous potential innovative applications in science and industry. At this stage, the challenge is to rationally design such nanoreceptors to optimize their performance and boost their further development. Toward this aim, we have developed a new computational tool, Nanotron. This allows the analysis of molecular dynamics simulations of ligand shell-protected nanoparticles to define their exact surface morphology and pocket fingerprints of binding cavities in the coating monolayer. Importantly, from dissecting the well-characterized pairing formed by the guest salicylate molecule and specific host nanoreceptors, our work reveals that guest binding at such nanoreceptors occurs via preformed deep pockets in the host. Upon the interaction with the guest, such pockets undergo an induced-fit-like structural optimization for best host-guest fitting. Our findings and methodological advancement will accelerate the rational design of new-generation nanoreceptors.
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Affiliation(s)
- Laura Riccardi
- Laboratory
of Molecular Modeling & Drug Discovery, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Sergio Decherchi
- Computational
and Chemical Biology, Fondazione Istituto
Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
- BiKi
Technologies s.r.l., Via XX Settembre 33/10, 1621 Genova, Italy
| | - Walter Rocchia
- BiKi
Technologies s.r.l., Via XX Settembre 33/10, 1621 Genova, Italy
- CONCEPT
Lab, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
| | - Giordano Zanoni
- Dipartimento
di Scienze Chimiche, Università di
Padova, Via Marzolo 1, 35131 Padova, Italy
| | - Andrea Cavalli
- Computational
and Chemical Biology, Fondazione Istituto
Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
- BiKi
Technologies s.r.l., Via XX Settembre 33/10, 1621 Genova, Italy
| | - Fabrizio Mancin
- Dipartimento
di Scienze Chimiche, Università di
Padova, Via Marzolo 1, 35131 Padova, Italy
| | - Marco De Vivo
- Laboratory
of Molecular Modeling & Drug Discovery, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
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9
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Mazzei LF, Martínez Á, Trevisan L, Rosa-Gastaldo D, Cortajarena AL, Mancin F, Salassa L. Toward supramolecular nanozymes for the photocatalytic activation of Pt(IV) anticancer prodrugs. Chem Commun (Camb) 2021; 56:10461-10464. [PMID: 32910125 DOI: 10.1039/d0cc03450a] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A supramolecular nanozyme for the photocatalytic conversion of a Pt(iv) anticancer complex to cisplatin is described herein. We employed 1.9 nm Au nanoparticles decorated with thiol ligands bearing a TACN (1,4,7-triazacyclononane) headgroup to encapsulate FMN (riboflavin-5'-phosphate). In the presence of an electron donor, flavin-loaded nanoparticles photocatalyzed the reductive activation of the prodrug cis,cis,trans-[Pt(NH3)2(Cl2)(O2CCH2CH2COOH)2] to cisplatin, achieving turnover frequency values of 7.4 min-1.
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Affiliation(s)
- Laura F Mazzei
- Donostia International Physics Center, Paseo Manuel de Lardizabal 4, Donostia, 20018, Spain. and CIC biomaGUNE, Basque Research Technology Alliance, BRTA, Parque Tecnológico de San Sebastián, Paseo Miramón 194, 20014 Donostia/San Sebastián, Spain and Dipartimento di Scienze Chimiche, Università di Padova, via Marzolo 1, Padova, 35131, Italy.
| | - Álvaro Martínez
- Donostia International Physics Center, Paseo Manuel de Lardizabal 4, Donostia, 20018, Spain.
| | - Lucia Trevisan
- Dipartimento di Scienze Chimiche, Università di Padova, via Marzolo 1, Padova, 35131, Italy.
| | - Daniele Rosa-Gastaldo
- Dipartimento di Scienze Chimiche, Università di Padova, via Marzolo 1, Padova, 35131, Italy.
| | - Aitziber L Cortajarena
- CIC biomaGUNE, Basque Research Technology Alliance, BRTA, Parque Tecnológico de San Sebastián, Paseo Miramón 194, 20014 Donostia/San Sebastián, Spain and Ikerbasque, Basque Foundation for Science, Bilbao, 48011, Spain
| | - Fabrizio Mancin
- Dipartimento di Scienze Chimiche, Università di Padova, via Marzolo 1, Padova, 35131, Italy.
| | - Luca Salassa
- Donostia International Physics Center, Paseo Manuel de Lardizabal 4, Donostia, 20018, Spain. and Ikerbasque, Basque Foundation for Science, Bilbao, 48011, Spain and Kimika Fakultatea, Euskal Herriko Unibertsitatea, UPV/EHU, Donostia, 20080, Spain
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10
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De Biasi F, Rosa-Gastaldo D, Mancin F, Rastrelli F. Hybrid nanoreceptors for high sensitivity detection of small molecules by NMR chemosensing. Chem Commun (Camb) 2021; 57:3002-3005. [PMID: 33623940 DOI: 10.1039/d0cc07559k] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
"Nanoparticle-assisted NMR chemosensing" combines magnetization transfer NMR techniques with the recognition abilities of gold nanoparticles (AuNPs) to isolate the NMR spectrum of relevant organic species in mixtures. The efficiency of the magnetization transfer is crucial to set the detection limit of the technique. To this aim, a second generation of nanoreceptors obtained by the self-organization of 2 nm AuNPs onto the surface of bigger silica nanoparticles shows better magnetization transfer performances, allowing the detection of analytes in water down to 10 μM concentration using standard instrumentation.
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Affiliation(s)
- Federico De Biasi
- Department of Chemical Sciences, Università degli Studi di Padova Via Marzolo 1, 35131 Padova, Italy.
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11
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Trzciński JW, Panariello L, Besenhard MO, Yang Y, Gavriilidis A, Guldin S. Synthetic guidelines for the precision engineering of gold nanoparticles. Curr Opin Chem Eng 2020. [DOI: 10.1016/j.coche.2020.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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12
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Marson D, Posel Z, Posocco P. Molecular Features for Probing Small Amphiphilic Molecules with Self-Assembled Monolayer-Protected Nanoparticles. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2020; 36:5671-5679. [PMID: 32348150 PMCID: PMC8007095 DOI: 10.1021/acs.langmuir.9b03686] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 04/21/2020] [Indexed: 06/11/2023]
Abstract
The sensing of small molecules poses the challenge of developing devices able to discriminate between compounds that may be structurally very similar. Here, attention has been paid to the use of self-assembled monolayer (SAM)-protected gold nanoparticles since they enable a modular approach to tune single-molecule affinity and selectivity simply by changing functional moieties (i.e., covering ligands), along with multivalent molecular recognition. To date, the discovery of monolayers suitable for a specific molecular target has relied on trial-and-error approaches, with ligand chemistry being the main criterion used to modulate selectivity and sensitivity. By using molecular dynamics, we showcase that either individual molecular characteristics and/or collective features such as ligand flexibility, monolayer organization, ligand local ordering, and interfacial solvent properties can also be exploited conveniently. The knowledge of the molecular mechanisms that drive the recognition of small molecules on SAM-covered nanoparticles will critically expand our ability to manipulate and control such supramolecular systems.
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Affiliation(s)
- Domenico Marson
- Department
of Engineering and Architecture, University
of Trieste, 34127 Trieste, Italy
| | - Zbyšek Posel
- Department
of Engineering and Architecture, University
of Trieste, 34127 Trieste, Italy
- Department
of Informatics, Jan Evangelista Purkyně
University, 40096 Ústí nad Labem, Czech Republic
| | - Paola Posocco
- Department
of Engineering and Architecture, University
of Trieste, 34127 Trieste, Italy
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13
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Jones NS, Comparin JH. Interpol review of controlled substances 2016-2019. Forensic Sci Int Synerg 2020; 2:608-669. [PMID: 33385148 PMCID: PMC7770462 DOI: 10.1016/j.fsisyn.2020.01.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 01/23/2020] [Indexed: 12/14/2022]
Abstract
This review paper covers the forensic-relevant literature in controlled substances from 2016 to 2019 as a part of the 19th Interpol International Forensic Science Managers Symposium. The review papers are also available at the Interpol website at: https://www.interpol.int/content/download/14458/file/Interpol%20Review%20Papers%202019.pdf.
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Affiliation(s)
- Nicole S. Jones
- RTI International, Applied Justice Research Division, Center for Forensic Sciences, 3040 E. Cornwallis Road, Research Triangle Park, NC, 22709-2194, USA
| | - Jeffrey H. Comparin
- United States Drug Enforcement Administration, Special Testing and Research Laboratory, USA
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14
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De Biasi F, Mancin F, Rastrelli F. Nanoparticle-assisted NMR spectroscopy: A chemosensing perspective. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2020; 117:70-88. [PMID: 32471535 DOI: 10.1016/j.pnmrs.2019.12.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 12/16/2019] [Accepted: 12/17/2019] [Indexed: 06/11/2023]
Abstract
Sensing methodologies for the detection of target compounds in mixtures are important in many different contexts, ranging from medical diagnosis to environmental analysis and quality assessment. Ideally, such detection methods should allow for both identification and quantification of the targets, minimizing the possibility of false positives. With very few exceptions, most of the available sensing techniques rely on the selective interaction of the analyte with some detector, which in turn produces a signal as a result of the interaction. This approach hence provides indirect information on the targets, whose identity is generally ensured by comparison with known standards, if available, or by the selectivity of the sensor system itself. Pursuing a different approach, NMR chemosensing aims at generating signals directly from the analytes, in the form of a (complete) NMR spectrum. In this way, not only are the targets unequivocally identified, but it also becomes possible to identify and assign the structures of unknown species. In this review we show how relaxation- and diffusion-based NMR techniques, assisted by appropriate nanoparticles, can be used to edit the 1H NMR spectrum of a mixture and extract the signals of specific target compounds. Monolayer-protected nanoparticles, in particular those made from gold, are well suited to this task because they provide a versatile, protein-size support to build or incorporate supramolecular receptors. Remarkably, the self-organized and multifunctional nature of the nanoparticle coating allows exploitation of different kinds of non-covalent interactions, to provide tailored binding sites for virtually any class of molecules. From the NMR standpoint, the reduced translational and rotational diffusion rates of bulky nanoparticles offer a way to manipulate the states of the monolayer spins and build a reservoir of magnetization that can be selectively transferred to the interacting analytes. In addition, the low correlation time and the enhanced rigidity of the coating molecules (due to their grafting and crowding on the particle surface) promote efficient spin diffusion, useful in saturation transfer experiments. The optimized combination of NMR experiments and nanoreceptors can ultimately allow the detection of relevant analytes in the micromolar concentration range, paving the way to applications in the diagnostic field and beyond.
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Affiliation(s)
- Federico De Biasi
- Department of Chemical Sciences, Università degli Studi di Padova, via Marzolo 1, 35131 Padova, Italy
| | - Fabrizio Mancin
- Department of Chemical Sciences, Università degli Studi di Padova, via Marzolo 1, 35131 Padova, Italy
| | - Federico Rastrelli
- Department of Chemical Sciences, Università degli Studi di Padova, via Marzolo 1, 35131 Padova, Italy.
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15
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Sun X, Rosa-Gastaldo D, De Biasi F, Rastrelli F, Mancin F. 1 H NMR Chemosensing of Potassium Ions Enabled by Guest-Induced Selectivity Switch of a Gold Nanoparticle/Crown Ether Nanoreceptor. Chempluschem 2020; 84:1498-1502. [PMID: 31943937 DOI: 10.1002/cplu.201900028] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/19/2019] [Indexed: 12/30/2022]
Abstract
A sensing protocol to detect potassium ions in water by 1 H NMR spectroscopy is described. The method exploits the K+ -modulated affinity of 18-crown-6 functionalized gold nanoparticles towards organic ions, combined with NOE magnetization transfer. Binding of K+ to the crown ether moieties switches the nanoreceptor preference (and its ability to transfer magnetization) from organic cations (tyramine) to organic anions (phloretate). In this way, a ratiometric NMR signal is produced with a detection limit of 0.6 mM. Detection can be performed in 20 min with standard instruments and with little interference from other alkali and alkaline earth metal ions present in the sample.
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Affiliation(s)
- Xiaohuan Sun
- Dipartimento di Scienze chimiche, Università di Padova, Via Marzolo 1, 35131, Padova, Italy
| | - Daniele Rosa-Gastaldo
- Dipartimento di Scienze chimiche, Università di Padova, Via Marzolo 1, 35131, Padova, Italy
| | - Federico De Biasi
- Dipartimento di Scienze chimiche, Università di Padova, Via Marzolo 1, 35131, Padova, Italy
| | - Federico Rastrelli
- Dipartimento di Scienze chimiche, Università di Padova, Via Marzolo 1, 35131, Padova, Italy
| | - Fabrizio Mancin
- Dipartimento di Scienze chimiche, Università di Padova, Via Marzolo 1, 35131, Padova, Italy
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16
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Mozaffari S, Li W, Dixit M, Seifert S, Lee B, Kovarik L, Mpourmpakis G, Karim AM. The role of nanoparticle size and ligand coverage in size focusing of colloidal metal nanoparticles. NANOSCALE ADVANCES 2019; 1:4052-4066. [PMID: 36132098 PMCID: PMC9417622 DOI: 10.1039/c9na00348g] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 09/05/2019] [Indexed: 05/10/2023]
Abstract
Controlling the size distribution of nanoparticles is important for many applications and typically involves the use of ligands during synthesis. In this study, we show that the mechanism of size focusing involves a dependence of the growth rate on the size of the nanoparticles and the ligand coverage on the surface of the nanoparticles. To demonstrate these effects, we used in situ small angle X-ray scattering (SAXS) and population balance kinetic modeling (PBM) to investigate the evolution of size distribution during the synthesis of colloidal Pd metal nanoparticles. Despite temporal overlap of nucleation and growth, our in situ SAXS show size focusing of the distribution under different synthetic conditions (different concentrations of metal and ligand as well as solvent type). To understand the mechanism of size focusing using PBM, we systematically studied how the evolution of the nanoparticle size distribution is affected by nucleation rate, and dependence of the growth rate constant on ligand surface coverage, and size of the nanoparticles. We show that continuous nucleation contributes to size defocusing. However, continuous nucleation results in different reaction times for the nanoparticle population leading to time and size-dependent ligand surface coverage. Using density functional theory (DFT) calculations and Brønsted-Evans-Polanyi relations, we show that as the population grows, larger nanoparticles grow more slowly than smaller ones due to lower intrinsic activity and higher ligand coverage on the surface. Therefore, despite continuous nucleation, the faster growth of smaller nanoparticles in the population leads to size focusing. The size focusing behaviour (due to faster growth of smaller nanoparticles) was found to be model independent and similar results were demonstrated under different nucleation and growth pathways (e.g. growth via ion reduction on the surface and/or monomer addition). Our results provide a microscopic connection between kinetics and thermodynamics of nanoparticle growth and metal-ligand binding, and their effect on the size distribution of colloidal nanoparticles.
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Affiliation(s)
- Saeed Mozaffari
- Department of Chemical Engineering, Virginia Polytechnic Institute and State University Blacksburg VA 24060 USA
| | - Wenhui Li
- Department of Chemical Engineering, Virginia Polytechnic Institute and State University Blacksburg VA 24060 USA
| | - Mudit Dixit
- Department of Chemical Engineering, University of Pittsburgh Pittsburgh Pennsylvania 15261 USA
| | - Soenke Seifert
- Advanced Photon Source, Argonne National Laboratory Argonne IL 60439 USA
| | - Byeongdu Lee
- X-ray Science Division, Argonne National Laboratory Argonne IL 60439 USA
| | - Libor Kovarik
- Environmental Molecular Science Laboratory, Pacific Northwest National Laboratory Richland Washington 99352 USA
| | - Giannis Mpourmpakis
- Department of Chemical Engineering, University of Pittsburgh Pittsburgh Pennsylvania 15261 USA
| | - Ayman M Karim
- Department of Chemical Engineering, Virginia Polytechnic Institute and State University Blacksburg VA 24060 USA
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17
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Yang Y, Poss G, Weng Y, Qi R, Zheng H, Nianias N, Kay ER, Guldin S. Probing the interaction of nanoparticles with small molecules in real time via quartz crystal microbalance monitoring. NANOSCALE 2019; 11:11107-11113. [PMID: 31166356 DOI: 10.1039/c9nr03162f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Despite extensive advances in the field of molecular recognition, the real-time monitoring of small molecule binding to nanoparticles (NP) remains a challenge. To this end, we report on a versatile approach, based on quartz crystal microbalance with dissipation monitoring, for the stepwise in situ quantification of gold nanoparticle (AuNPs) immobilisation and subsequent uptake and release of binding partners. AuNPs stabilised by thiol-bound ligand shells of prescribed chemical composition were densely immobilised onto gold surfaces via dithiol linkers. The boronate ester formation between salicylic acid derivatives in solution and boronic acids in the AuNP ligand shell was then studied in real time, revealing a drastic effect of both ligand architecture and Lewis base concentration on the interaction strength. The binding kinetics were analysed with frequency response modelling for a thorough comparison of binding parameters including relaxation time as well as association rate constant. The results directly mirror those from previously reported in-depth studies using nuclear magnetic resonance spectroscopy. By achieving quantitative characterisation of selective binding of analytes with molecular weight below 300 Da, this new method enables rapid, low cost, rational screening of AuNP candidates for molecular recognition.
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Affiliation(s)
- Ye Yang
- Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
| | - Guillaume Poss
- EaStCHEM School of Chemistry, University of St Andrews, St Andrews, KY16 9ST, UK
| | - Yini Weng
- Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
| | - Runzhang Qi
- Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
| | - Hanrui Zheng
- Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
| | - Nikolaos Nianias
- Institute of Materials, École Polytechnique Fédérale de Lausanne (EPFL), Station 12, 1015 Lausanne, Switzerland
| | - Euan R Kay
- EaStCHEM School of Chemistry, University of St Andrews, St Andrews, KY16 9ST, UK
| | - Stefan Guldin
- Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
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18
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Sun X, Riccardi L, De Biasi F, Rastrelli F, De Vivo M, Mancin F. Molecular‐Dynamics‐Simulation‐Directed Rational Design of Nanoreceptors with Targeted Affinity. Angew Chem Int Ed Engl 2019. [DOI: 10.1002/ange.201902316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Xiaohuan Sun
- Dipartimento di Scienze ChimicheUniveristà di Padova Via Marzolo 1 35131 Padova Italy
| | - Laura Riccardi
- Laboratory of Molecular Modeling & Drug DiscoveryIstituto Italiano di Tecnologia (IIT) Via Morego 30 16163 Genova Italy
| | - Federico De Biasi
- Dipartimento di Scienze ChimicheUniveristà di Padova Via Marzolo 1 35131 Padova Italy
| | - Federico Rastrelli
- Dipartimento di Scienze ChimicheUniveristà di Padova Via Marzolo 1 35131 Padova Italy
| | - Marco De Vivo
- Laboratory of Molecular Modeling & Drug DiscoveryIstituto Italiano di Tecnologia (IIT) Via Morego 30 16163 Genova Italy
| | - Fabrizio Mancin
- Dipartimento di Scienze ChimicheUniveristà di Padova Via Marzolo 1 35131 Padova Italy
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19
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Sun X, Riccardi L, De Biasi F, Rastrelli F, De Vivo M, Mancin F. Molecular-Dynamics-Simulation-Directed Rational Design of Nanoreceptors with Targeted Affinity. Angew Chem Int Ed Engl 2019; 58:7702-7707. [PMID: 30964595 DOI: 10.1002/anie.201902316] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Indexed: 11/07/2022]
Abstract
Here, we demonstrate the possibility of rationally designing nanoparticle receptors with targeted affinity and selectivity for specific small molecules. We used atomistic molecular-dynamics (MD) simulations to gradually mutate and optimize the chemical structure of the molecules forming the coating monolayer of gold nanoparticles (1.7 nm gold-core size). The MD-directed design resulted in nanoreceptors with a 10-fold improvement in affinity for the target analyte (salicylate) and a 100-fold decrease of the detection limit by NMR-chemosensing from the millimolar to the micromolar range. We could define the exact binding mode, which features prolonged contacts and deep penetration of the guest into the monolayer, as well as a distinct shape of the effective binding pockets characterized by exposed interacting points.
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Affiliation(s)
- Xiaohuan Sun
- Dipartimento di Scienze Chimiche, Univeristà di Padova, Via Marzolo 1, 35131, Padova, Italy
| | - Laura Riccardi
- Laboratory of Molecular Modeling & Drug Discovery, Istituto Italiano di Tecnologia (IIT), Via Morego 30, 16163, Genova, Italy
| | - Federico De Biasi
- Dipartimento di Scienze Chimiche, Univeristà di Padova, Via Marzolo 1, 35131, Padova, Italy
| | - Federico Rastrelli
- Dipartimento di Scienze Chimiche, Univeristà di Padova, Via Marzolo 1, 35131, Padova, Italy
| | - Marco De Vivo
- Laboratory of Molecular Modeling & Drug Discovery, Istituto Italiano di Tecnologia (IIT), Via Morego 30, 16163, Genova, Italy
| | - Fabrizio Mancin
- Dipartimento di Scienze Chimiche, Univeristà di Padova, Via Marzolo 1, 35131, Padova, Italy
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20
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Antonides LH, Brignall RM, Costello A, Ellison J, Firth SE, Gilbert N, Groom BJ, Hudson SJ, Hulme MC, Marron J, Pullen ZA, Robertson TBR, Schofield CJ, Williamson DC, Kemsley EK, Sutcliffe OB, Mewis RE. Rapid Identification of Novel Psychoactive and Other Controlled Substances Using Low-Field 1H NMR Spectroscopy. ACS OMEGA 2019; 4:7103-7112. [PMID: 31179411 PMCID: PMC6547625 DOI: 10.1021/acsomega.9b00302] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 03/19/2019] [Indexed: 05/03/2023]
Abstract
An automated approach to the collection of 1H NMR (nuclear magnetic resonance) spectra using a benchtop NMR spectrometer and the subsequent analysis, processing, and elucidation of components present in seized drug samples are reported. An algorithm is developed to compare spectral data to a reference library of over 300 1H NMR spectra, ranking matches by a correlation-based score. A threshold for identification was set at 0.838, below which identification of the component present was deemed unreliable. Using this system, 432 samples were surveyed and validated against contemporaneously acquired GC-MS (gas chromatography-mass spectrometry) data. Following removal of samples which possessed no peaks in the GC-MS trace or in both the 1H NMR spectrum and GC-MS trace, the remaining 416 samples matched in 93% of cases. Thirteen of these samples were binary mixtures. A partial match (one component not identified) was obtained for 6% of samples surveyed whilst only 1% of samples did not match at all.
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Affiliation(s)
- Lysbeth H Antonides
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Rachel M Brignall
- Oxford Instruments, Tubney Woods, Abingdon, Oxfordshire OX13 5QX, U.K
| | - Andrew Costello
- Greater Manchester Police, Openshaw Complex, Lawton Street, Openshaw, Manchester M11 2NS, U.K
- MANchester DRug Analysis and Knowledge Exchange (MANDRAKE), Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Jamie Ellison
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
- Greater Manchester Police, Openshaw Complex, Lawton Street, Openshaw, Manchester M11 2NS, U.K
- MANchester DRug Analysis and Knowledge Exchange (MANDRAKE), Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Samuel E Firth
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Nicolas Gilbert
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
- MANchester DRug Analysis and Knowledge Exchange (MANDRAKE), Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Bethany J Groom
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Samuel J Hudson
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Matthew C Hulme
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
- MANchester DRug Analysis and Knowledge Exchange (MANDRAKE), Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Jack Marron
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
- MANchester DRug Analysis and Knowledge Exchange (MANDRAKE), Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Zoe A Pullen
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Thomas B R Robertson
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Christopher J Schofield
- Greater Manchester Police, Openshaw Complex, Lawton Street, Openshaw, Manchester M11 2NS, U.K
- MANchester DRug Analysis and Knowledge Exchange (MANDRAKE), Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | | | - E Kate Kemsley
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UA, U.K
| | - Oliver B Sutcliffe
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
- MANchester DRug Analysis and Knowledge Exchange (MANDRAKE), Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
| | - Ryan E Mewis
- School of Science and the Environment, Division of Chemistry and Environmental Science, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, U.K
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21
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De Biasi F, Rosa-Gastaldo D, Sun X, Mancin F, Rastrelli F. Nanoparticle-Assisted NMR Spectroscopy: Enhanced Detection of Analytes by Water-Mediated Saturation Transfer. J Am Chem Soc 2019; 141:4870-4877. [DOI: 10.1021/jacs.8b13225] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Federico De Biasi
- Department of Chemical Sciences, Università degli Studi di Padova, via Marzolo 1, 35131 Padova, Italy
| | - Daniele Rosa-Gastaldo
- Department of Chemical Sciences, Università degli Studi di Padova, via Marzolo 1, 35131 Padova, Italy
| | - Xiaohuan Sun
- Department of Chemical Sciences, Università degli Studi di Padova, via Marzolo 1, 35131 Padova, Italy
| | - Fabrizio Mancin
- Department of Chemical Sciences, Università degli Studi di Padova, via Marzolo 1, 35131 Padova, Italy
| | - Federico Rastrelli
- Department of Chemical Sciences, Università degli Studi di Padova, via Marzolo 1, 35131 Padova, Italy
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22
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Ruks T, Beuck C, Schaller T, Niemeyer F, Zähres M, Loza K, Heggen M, Hagemann U, Mayer C, Bayer P, Epple M. Solution NMR Spectroscopy with Isotope-Labeled Cysteine ( 13C and 15N) Reveals the Surface Structure of l-Cysteine-Coated Ultrasmall Gold Nanoparticles (1.8 nm). LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2019; 35:767-778. [PMID: 30576151 DOI: 10.1021/acs.langmuir.8b03840] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Ultrasmall gold nanoparticles with a diameter of 1.8 nm were synthesized by reduction of tetrachloroauric acid with sodium borohydride in the presence of l-cysteine, with natural isotope abundance as well as 13C-labeled and 15N-labeled. The particle diameter was determined by high-resolution transmission electron microscopy and differential centrifugal sedimentation. X-ray photoelectron spectroscopy confirmed the presence of metallic gold with only a few percent of oxidized Au(+I) species. The surface structure and the coordination environment of the cysteine ligands on the ultrasmall gold nanoparticles were studied by a variety of homo- and heteronuclear NMR spectroscopic techniques including 1H-13C-heteronuclear single-quantum coherence and 13C-13C-INADEQUATE. Further information on the binding situation (including the absence of residual or detached l-cysteine in the solution) and on the nanoparticle diameter (indicating the well-dispersed state) was obtained by diffusion-ordered spectroscopy (1H-, 13C-, and 1H-13C-DOSY). Three coordination environments of l-cysteine on the gold surface were identified that were ascribed to different crystallographic sites, supported by geometric considerations of the nanoparticle ultrastructure. The particle size data and the NMR-spectroscopic analysis gave a particle composition of about Au174(cysteine)67.
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Affiliation(s)
| | | | | | | | | | | | - Marc Heggen
- Ernst Ruska Centre for Microscopy and Spectroscopy with Electrons , Forschungszentrum Jülich GmbH , 52428 Jülich , Germany
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23
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Affiliation(s)
- Zhenchuang Xu
- Key Laboratory of Organofluorine Chemistry, Center for Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Chao Liu
- Key Laboratory of Organofluorine Chemistry, Center for Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Shujuan Zhao
- Key Laboratory of Organofluorine Chemistry, Center for Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Si Chen
- Key Laboratory of Organofluorine Chemistry, Center for Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Yanchuan Zhao
- Key Laboratory of Organofluorine Chemistry, Center for Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
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24
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Gabrielli L, Carril M, Padro D, Mancin F. Multimodal 19
F NMR Dopamine Detection and Imaging with a Nanoparticle-Based Displacement Assay. Chemistry 2018; 24:13036-13042. [DOI: 10.1002/chem.201802482] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 06/07/2018] [Indexed: 11/11/2022]
Affiliation(s)
- Luca Gabrielli
- Dipartimento di Scienze Chimiche; Università di Padova; via Marzolo 1 35131 Padova Italy
| | - Monica Carril
- CIC biomaGUNE; Paseo Miramón 182 20014 San Sebastián Spain
- Ikerbasque, Basque Foundation for Science; 48011 Bilbao Spain
| | - Daniel Padro
- CIC biomaGUNE; Paseo Miramón 182 20014 San Sebastián Spain
| | - Fabrizio Mancin
- Dipartimento di Scienze Chimiche; Università di Padova; via Marzolo 1 35131 Padova Italy
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25
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Sun X, Liu P, Mancin F. Sensor arrays made by self-organized nanoreceptors for detection and discrimination of carboxylate drugs. Analyst 2018; 143:5754-5763. [DOI: 10.1039/c8an01756e] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
An array of self-organized nanoreceptors based on monolayer-protected gold nanoparticles in combination with different commercially available fluorescent dyes can detect and discriminate nonsteroidal anti-inflammatory drugs.
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Affiliation(s)
- Xiaohuan Sun
- Dipartimento di Scienze Chimiche
- Università di Padova
- 35131 Padova
- Italy
| | - Ping Liu
- School of Pharmaceutical Science and Technology
- Tianjin University
- Tianjin
- China
| | - Fabrizio Mancin
- Dipartimento di Scienze Chimiche
- Università di Padova
- 35131 Padova
- Italy
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