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Wells SS, Bain IJ, Valenta AC, Lenhart AE, Steyer DJ, Kennedy RT. Microdialysis coupled with droplet microfluidics and mass spectrometry for determination of neurotransmitters in vivo with high temporal resolution. Analyst 2024; 149:2328-2337. [PMID: 38488040 PMCID: PMC11018092 DOI: 10.1039/d4an00112e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 03/10/2024] [Indexed: 04/16/2024]
Abstract
Monitoring the concentration fluctuations of neurotransmitters in vivo is valuable for elucidating the chemical signals that underlie brain functions. Microdialysis sampling is a widely used tool for monitoring neurochemicals in vivo. The volume requirements of most techniques that have been coupled to microdialysis, such as HPLC, result in fraction collection times of minutes, thus limiting the temporal resolution possible. Further the time of analysis can become long for cases where many fractions are collected. Previously we have used direct analysis of dialysate by low-flow electrospray ionization-tandem mass spectrometry (ESI-MS/MS) on a triple quadrupole mass spectrometer to monitor acetylcholine, glutamate, and γ-amino-butyric acid to achieve multiplexed in vivo monitoring with temporal resolution of seconds. Here, we have expanded this approach to adenosine, dopamine, and serotonin. The method achieved limits of detection down to 2 nM, enabling basal concentrations of all these compounds, except serotonin, to be measured in vivo. Comparative analysis with LC-MS/MS showed accurate results for all compounds except for glutamate, possibly due to interference for this compound in vivo. Pairing this analysis with droplet microfluidics yields 11 s temporal resolution and can generate dialysate fractions down to 3 nL at rates up to 3 fractions per s from a microdialysis probe. The system is applied to multiplexed monitoring of neurotransmitter dynamics in response to stimulation by 100 mM K+ and amphetamine. These applications demonstrate the suitability of the droplet ESI-MS/MS method for monitoring short-term dynamics of up to six neurotransmitters simultaneously.
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Affiliation(s)
- Shane S Wells
- Department of Chemistry, University of Michigan, 930 N. University Ave, Ann Arbor, MI 48109-1055, USA.
| | - Ian J Bain
- Department of Chemistry, University of Michigan, 930 N. University Ave, Ann Arbor, MI 48109-1055, USA.
| | - Alec C Valenta
- Department of Chemistry, University of Michigan, 930 N. University Ave, Ann Arbor, MI 48109-1055, USA.
| | - Ashley E Lenhart
- Department of Chemistry, University of Michigan, 930 N. University Ave, Ann Arbor, MI 48109-1055, USA.
| | - Daniel J Steyer
- Department of Chemistry, University of Michigan, 930 N. University Ave, Ann Arbor, MI 48109-1055, USA.
| | - Robert T Kennedy
- Department of Chemistry, University of Michigan, 930 N. University Ave, Ann Arbor, MI 48109-1055, USA.
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2
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Milon RB, Hu P, Zhang X, Hu X, Ren L. Recent advances in the biosynthesis and industrial biotechnology of Gamma-amino butyric acid. BIORESOUR BIOPROCESS 2024; 11:32. [PMID: 38647854 PMCID: PMC10992975 DOI: 10.1186/s40643-024-00747-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/03/2024] [Indexed: 04/25/2024] Open
Abstract
GABA (Gamma-aminobutyric acid), a crucial neurotransmitter in the central nervous system, has gained significant attention in recent years due to its extensive benefits for human health. The review focused on recent advances in the biosynthesis and production of GABA. To begin with, the investigation evaluates GABA-producing strains and metabolic pathways, focusing on microbial sources such as Lactic Acid Bacteria, Escherichia coli, and Corynebacterium glutamicum. The metabolic pathways of GABA are elaborated upon, including the GABA shunt and critical enzymes involved in its synthesis. Next, strategies to enhance microbial GABA production are discussed, including optimization of fermentation factors, different fermentation methods such as co-culture strategy and two-step fermentation, and modification of the GABA metabolic pathway. The review also explores methods for determining glutamate (Glu) and GABA levels, emphasizing the importance of accurate quantification. Furthermore, a comprehensive market analysis and prospects are provided, highlighting current trends, potential applications, and challenges in the GABA industry. Overall, this review serves as a valuable resource for researchers and industrialists working on GABA advancements, focusing on its efficient synthesis processes and various applications, and providing novel ideas and approaches to improve GABA yield and quality.
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Affiliation(s)
- Ripon Baroi Milon
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, No. 30 South Puzhu Road, Nanjing, 211816, People's Republic of China
| | - Pengchen Hu
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, No. 30 South Puzhu Road, Nanjing, 211816, People's Republic of China
| | - Xueqiong Zhang
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, No. 30 South Puzhu Road, Nanjing, 211816, People's Republic of China
| | - Xuechao Hu
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, No. 30 South Puzhu Road, Nanjing, 211816, People's Republic of China
- Shanghai JanStar Technology Development Co, Ltd., No. 1288, Huateng Road, Shanghai, People's Republic of China
| | - Lujing Ren
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, No. 30 South Puzhu Road, Nanjing, 211816, People's Republic of China.
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3
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Simpson EH, Akam T, Patriarchi T, Blanco-Pozo M, Burgeno LM, Mohebi A, Cragg SJ, Walton ME. Lights, fiber, action! A primer on in vivo fiber photometry. Neuron 2024; 112:718-739. [PMID: 38103545 PMCID: PMC10939905 DOI: 10.1016/j.neuron.2023.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 10/16/2023] [Accepted: 11/15/2023] [Indexed: 12/19/2023]
Abstract
Fiber photometry is a key technique for characterizing brain-behavior relationships in vivo. Initially, it was primarily used to report calcium dynamics as a proxy for neural activity via genetically encoded indicators. This generated new insights into brain functions including movement, memory, and motivation at the level of defined circuits and cell types. Recently, the opportunity for discovery with fiber photometry has exploded with the development of an extensive range of fluorescent sensors for biomolecules including neuromodulators and peptides that were previously inaccessible in vivo. This critical advance, combined with the new availability of affordable "plug-and-play" recording systems, has made monitoring molecules with high spatiotemporal precision during behavior highly accessible. However, while opening exciting new avenues for research, the rapid expansion in fiber photometry applications has occurred without coordination or consensus on best practices. Here, we provide a comprehensive guide to help end-users execute, analyze, and suitably interpret fiber photometry studies.
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Affiliation(s)
- Eleanor H Simpson
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA.
| | - Thomas Akam
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
| | - Tommaso Patriarchi
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland; Neuroscience Center Zürich, University and ETH Zürich, Zürich, Switzerland.
| | - Marta Blanco-Pozo
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Lauren M Burgeno
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Ali Mohebi
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Stephanie J Cragg
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Mark E Walton
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
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4
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Park I, Kim S, Brenden CK, Shi W, Iyer H, Bashir R, Vlasov Y. Highly Localized Chemical Sampling at Subsecond Temporal Resolution Enabled with a Silicon Nanodialysis Platform at Nanoliter per Minute Flows. ACS NANO 2024; 18:6963-6974. [PMID: 38378186 PMCID: PMC10919076 DOI: 10.1021/acsnano.3c09776] [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: 10/08/2023] [Revised: 02/06/2024] [Accepted: 02/08/2024] [Indexed: 02/22/2024]
Abstract
Microdialysis (MD) is a versatile and powerful technique for chemical profiling of biological tissues and is widely used for quantification of neurotransmitters, neuropeptides, metabolites, biomarkers, and drugs in the central nervous system as well as in dermatology, ophthalmology, and pain research. However, MD performance is severely limited by fundamental tradeoffs between chemical sensitivity, spatial resolution, and temporal response. Here, by using wafer-scale silicon microfabrication, we develop and demonstrate a nanodialysis (ND) sampling probe that enables highly localized chemical sampling with 100 μm spatial resolution and subsecond temporal resolution at high recovery rates. These performance metrics, which are 100-1000× superior to existing MD approaches, are enabled by a 100× reduction of the microfluidic channel cross-section, a corresponding drastic 100× reduction of flow rates to exceedingly slow few nL/min flows, and integration of a nanometer-thin nanoporous membrane with high transport flux into the probe sampling area. Miniaturized ND probes may allow for the minimally invasive and highly localized sampling and chemical profiling in live biological tissues with high spatiotemporal resolution for clinical, biomedical, and pharmaceutical applications.
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Affiliation(s)
| | | | | | - Weihua Shi
- University of Illinois at
Urbana−Champaign, Urbana, Illinois 61820, United States
| | - Hrishikesh Iyer
- University of Illinois at
Urbana−Champaign, Urbana, Illinois 61820, United States
| | - Rashid Bashir
- University of Illinois at
Urbana−Champaign, Urbana, Illinois 61820, United States
| | - Yurii Vlasov
- University of Illinois at
Urbana−Champaign, Urbana, Illinois 61820, United States
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5
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Sun X, Yu Y, Qian K, Wang J, Huang L. Recent Progress in Mass Spectrometry-Based Single-Cell Metabolic Analysis. SMALL METHODS 2024; 8:e2301317. [PMID: 38032130 DOI: 10.1002/smtd.202301317] [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: 09/27/2023] [Revised: 11/10/2023] [Indexed: 12/01/2023]
Abstract
Single-cell analysis enables the measurement of biomolecules at the level of individual cells, facilitating in-depth investigations into cellular heterogeneity and precise interpretation of the related biological mechanisms. Among these biomolecules, cellular metabolites exhibit remarkable sensitivity to environmental and biochemical changes, unveiling a hidden world underlying cellular heterogeneity and allowing for the determination of cell physiological states. However, the metabolic analysis of single cells is challenging due to the extremely low concentrations, substantial content variations, and rapid turnover rates of cellular metabolites. Mass spectrometry (MS), characterized by its high sensitivity, wide dynamic range, and excellent selectivity, is employed in single-cell metabolic analysis. This review focuses on recent advances and applications of MS-based single-cell metabolic analysis, encompassing three key steps of single-cell isolation, detection, and application. It is anticipated that MS will bring profound implications in biomedical practices, serving as advanced tools to depict the single-cell metabolic landscape.
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Affiliation(s)
- Xuming Sun
- Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
- Shanghai Institute of Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, 453003, P. R. China
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang Medical University, Xinxiang, 453003, P. R. China
- Xinxiang Key Laboratory of Neurobiosensor, Xinxiang Medical University, Xinxiang, 453003, P. R. China
| | - Yi Yu
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, 453003, P. R. China
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang Medical University, Xinxiang, 453003, P. R. China
- Xinxiang Key Laboratory of Neurobiosensor, Xinxiang Medical University, Xinxiang, 453003, P. R. China
| | - Kun Qian
- School of Biomedical Engineering, Institute of Medical Robotics and Med X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Jiayi Wang
- Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
- Shanghai Institute of Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
| | - Lin Huang
- Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
- Shanghai Institute of Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
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6
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Zohouri D, Lienard-Mayor T, Obeid S, Taverna M, Mai TD. A review on hyphenation of droplet microfluidics to separation techniques: From instrumental conception to analytical applications for limited sample volumes. Anal Chim Acta 2024; 1291:342090. [PMID: 38280779 DOI: 10.1016/j.aca.2023.342090] [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: 06/19/2023] [Revised: 11/17/2023] [Accepted: 11/28/2023] [Indexed: 01/29/2024]
Abstract
In this study, we review various strategies to couple sample processing in microfluidic droplets with different separation techniques, including liquid chromatography, mass spectrometry, and capillary electrophoresis. Separation techniques interfaced with droplet microfluidics represent an emerging trend in analytical chemistry, in which micro to femtoliter droplets serve as microreactors, a bridge between analytical modules, as well as carriers of target analytes between sample treatment and separation/detection steps. This allows to overcome the hurdles encountered in separation science, notably the low degree of module integration, working volume incompatibility, and cross contamination between different operational stages. For this droplet-separation interfacing purpose, this review covers different instrumental designs from all works on this topic up to May 2023, together with our viewpoints on respective advantages and considerations. Demonstration and performance of droplet-interfaced separation strategies for limited sample volumes are also discussed.
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Affiliation(s)
- Delaram Zohouri
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 91400, Orsay, France
| | - Théo Lienard-Mayor
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 91400, Orsay, France
| | - Sameh Obeid
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 91400, Orsay, France
| | - Myriam Taverna
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 91400, Orsay, France
| | - Thanh Duc Mai
- Université Paris-Saclay, CNRS, Institut Galien Paris-Saclay, 91400, Orsay, France.
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7
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Stuber A, Nakatsuka N. Aptamer Renaissance for Neurochemical Biosensing. ACS NANO 2024; 18:2552-2563. [PMID: 38236046 PMCID: PMC10832038 DOI: 10.1021/acsnano.3c09576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 01/19/2024]
Abstract
Unraveling the complexities of brain function, which is crucial for advancing human health, remains a grand challenge. This endeavor demands precise monitoring of small molecules such as neurotransmitters, the chemical messengers in the brain. In this Perspective, we explore the potential of aptamers, selective synthetic bioreceptors integrated into electronic affinity platforms to address limitations in neurochemical biosensing. We emphasize the importance of characterizing aptamer thermodynamics and target binding to realize functional biosensors in biological systems. We focus on two label-free affinity platforms spanning the micro- to nanoscale: field-effect transistors and nanopores. Integration of well-characterized structure-switching aptamers overcame nonspecific binding, a challenge that has hindered the translation of biosensors from the lab to the clinic. In a transformative era driven by neuroscience breakthroughs, technological innovations, and multidisciplinary collaborations, an aptamer renaissance holds the potential to bridge technological gaps and reshape the landscape of diagnostics and neuroscience.
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Affiliation(s)
- Annina Stuber
- Laboratory for Biosensors
and Bioelectronics, ETH Zürich, 8092 Zürich, Switzerland
| | - Nako Nakatsuka
- Laboratory for Biosensors
and Bioelectronics, ETH Zürich, 8092 Zürich, Switzerland
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8
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Nestor L, De Bundel D, Vander Heyden Y, Smolders I, Van Eeckhaut A. Unravelling the brain metabolome: A review of liquid chromatography - mass spectrometry strategies for extracellular brain metabolomics. J Chromatogr A 2023; 1712:464479. [PMID: 37952387 DOI: 10.1016/j.chroma.2023.464479] [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: 07/24/2023] [Revised: 10/27/2023] [Accepted: 10/29/2023] [Indexed: 11/14/2023]
Abstract
The analysis of the brain extracellular metabolome is of interest for numerous subdomains within neuroscience. Not only does it provide information about normal physiological functions, it is even more of interest for biomarker discovery and target discovery in disease. The extracellular analysis of the brain is particularly interesting as it provides information about the release of mediators in the brain extracellular fluid to look at cellular signaling and metabolic pathways through the release, diffusion and re-uptake of neurochemicals. In vivo samples are obtained through microdialysis, cerebral open-flow microperfusion or solid-phase microextraction. The analytes of potential interest are typically low in concentration and can have a wide range of physicochemical properties. Liquid chromatography coupled to mass spectrometry has proven its usefulness in brain metabolomics. It allows sensitive and specific analysis of low sample volumes, obtained through different approaches. Several strategies for the analysis of the extracellular fluid have been proposed. The most widely used approaches apply sample derivatization, specific stationary phases and/or hydrophilic interaction liquid chromatography. Miniaturization of these methods allows an even higher sensitivity. The development of chiral metabolomics is indispensable, as it allows to compare the enantiomeric ratio of compounds and provides even more challenges. Some limitations continue to exist for the previously developed methods and the development of new, more sensitive methods remains needed. This review provides an overview of the methods developed for sampling and liquid chromatography-mass spectrometry analysis of the extracellular metabolome.
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Affiliation(s)
- Liam Nestor
- Research group Experimental Pharmacology (EFAR), Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Dimitri De Bundel
- Research group Experimental Pharmacology (EFAR), Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Yvan Vander Heyden
- Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling (FABI), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Ilse Smolders
- Research group Experimental Pharmacology (EFAR), Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Ann Van Eeckhaut
- Research group Experimental Pharmacology (EFAR), Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium.
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9
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Park I, Kim S, Brenden CK, Shi W, Iyer H, Bashir R, Vlasov Y. Highly localized chemical sampling at sub-second temporal resolution enabled with a silicon nanodialysis platform at exceedingly slow flows. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.08.556607. [PMID: 37745310 PMCID: PMC10515758 DOI: 10.1101/2023.09.08.556607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Microdialysis (MD) is a versatile and powerful technique for chemical profiling of biological tissues and is widely used for quantification of neurotransmitters, neuropeptides, metabolites, biomarkers, and drugs in the central nervous system as well as in dermatology, ophthalmology, and in pain research. However, MD performance is severely limited by fundamental tradeoffs between chemical sensitivity, spatial resolution, and temporal response. Here, by using wafer-scale silicon microfabrication, we develop and demonstrate a nanodialysis (ND) sampling probe that enables highly localized chemical sampling with 100μm spatial resolution and sub-second temporal resolution at high recovery rates. These performance metrics, which are 100X-1000X superior to existing MD approaches, are enabled by a 100X reduction of the microfluidic channel cross-section, a corresponding drastic 100X reduction of flow rates to exceedingly slow few nL/min flows, and integration of a nanometer-thin nanoporous membrane with high transport flux into the probe sampling area. Miniaturized ND probes may allow for the minimally invasive and highly localized sampling and chemical profiling in live biological tissues with unprecedented spatio-temporal resolution for clinical, biomedical, and pharmaceutical applications.
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10
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Murray BE, Penabad LI, Kennedy RT. Advances in coupling droplet microfluidics to mass spectrometry. Curr Opin Biotechnol 2023; 82:102962. [PMID: 37336080 DOI: 10.1016/j.copbio.2023.102962] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 05/12/2023] [Accepted: 05/23/2023] [Indexed: 06/21/2023]
Abstract
Droplet microfluidics enables development of workflows with low sample consumption and high throughput. Fluorescence-based assays are most used with droplet microfluidics; however, the requirement of a fluorescent reporter restricts applicability of this approach. The coupling of droplets to mass spectrometry (MS) has enabled selective assays on complex mixtures to broaden the analyte scope. Droplet microfluidics has been interfaced to MS via electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI). The works reviewed herein outline the development of this nascent field as well as initial exploration of its application in biotechnology and bioanalysis, including synthetic biology, reaction development, and in vivo sensing.
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Affiliation(s)
- Bridget E Murray
- Department of Chemistry, University of Michigan, 930 N. University Ave, Ann Arbor, MI 48109-1055, USA
| | - Laura I Penabad
- Department of Chemistry, University of Michigan, 930 N. University Ave, Ann Arbor, MI 48109-1055, USA
| | - Robert T Kennedy
- Department of Chemistry, University of Michigan, 930 N. University Ave, Ann Arbor, MI 48109-1055, USA.
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11
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Gerson J, Erdal MK, McDonough MH, Ploense KL, Dauphin-Ducharme P, Honeywell KM, Leung KK, Arroyo-Curras N, Gibson JM, Emmons NA, Meiring W, Hespanha JP, Plaxco KW, Kippin TE. High-precision monitoring of and feedback control over drug concentrations in the brains of freely moving rats. SCIENCE ADVANCES 2023; 9:eadg3254. [PMID: 37196087 PMCID: PMC10191434 DOI: 10.1126/sciadv.adg3254] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 04/12/2023] [Indexed: 05/19/2023]
Abstract
Knowledge of drug concentrations in the brains of behaving subjects remains constrained on a number of dimensions, including poor temporal resolution and lack of real-time data. Here, however, we demonstrate the ability of electrochemical aptamer-based sensors to support seconds-resolved, real-time measurements of drug concentrations in the brains of freely moving rats. Specifically, using such sensors, we achieve <4 μM limits of detection and 10-s resolution in the measurement of procaine in the brains of freely moving rats, permitting the determination of the pharmacokinetics and concentration-behavior relations of the drug with high precision for individual subjects. In parallel, we have used closed-loop feedback-controlled drug delivery to hold intracranial procaine levels constant (±10%) for >1.5 hours. These results demonstrate the utility of such sensors in (i) the determination of the site-specific, seconds-resolved neuropharmacokinetics, (ii) enabling the study of individual subject neuropharmacokinetics and concentration-response relations, and (iii) performing high-precision control over intracranial drug levels.
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Affiliation(s)
- Julian Gerson
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
- Neuroscience Research Institute, University of California, Santa Barbara, CA 93106, USA
- Institute for Collaborative Biotechnologies, University of California, Santa Barbara, CA 93106, USA
| | - Murat Kaan Erdal
- Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, USA
| | - Matthew H. McDonough
- Department of Statistics and Applied Probability, University of California, Santa Barbara, CA 93106, USA
| | - Kyle L. Ploense
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
- Department of Chemistry and Biochemistry, University of California, Santa Barbara, CA 93106, USA
| | | | - Kevin M. Honeywell
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
| | - Kaylyn K. Leung
- Department of Chemistry and Biochemistry, University of California, Santa Barbara, CA 93106, USA
| | - Netzahualcoyotl Arroyo-Curras
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jenny M. Gibson
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
| | - Nicole A. Emmons
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
| | - Wendy Meiring
- Department of Statistics and Applied Probability, University of California, Santa Barbara, CA 93106, USA
| | - Joao P. Hespanha
- Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, USA
| | - Kevin W. Plaxco
- Institute for Collaborative Biotechnologies, University of California, Santa Barbara, CA 93106, USA
- Department of Chemistry and Biochemistry, University of California, Santa Barbara, CA 93106, USA
| | - Tod E. Kippin
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
- Neuroscience Research Institute, University of California, Santa Barbara, CA 93106, USA
- Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA 93106, USA
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12
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Payne EM, Taraji M, Murray BE, Holland-Moritz DA, Moore JC, Haddad PR, Kennedy RT. Evaluation of Analyte Transfer between Microfluidic Droplets by Mass Spectrometry. Anal Chem 2023; 95:4662-4670. [PMID: 36862378 DOI: 10.1021/acs.analchem.2c04985] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
Droplet microfluidics enables high-throughput experimentation and screening by encapsulating chemical and biochemical samples in aqueous droplets segmented by an immiscible fluid. In such experiments, it is critical that each droplet remains chemically distinct. A common approach is to use fluorinated oils with surfactants to stabilize droplets. However, some small molecules have been observed to transport between droplets under these conditions. Attempts to study and mitigate this effect have relied on evaluating crosstalk using fluorescent molecules, which inherently limits the analyte scope and conclusions drawn about the mechanism of the effect. In this work, transport of low molecular weight compounds between droplets was investigated using electrospray ionization mass spectrometry (ESI-MS) for measurement. The use of ESI-MS significantly expands the scope of analytes that can be tested. We tested 36 structurally diverse analytes that were found to exhibit crosstalk ranging from negligible to complete transfer using HFE 7500 as the carrier fluid and 008-fluorosurfactant as a surfactant. Using this data set, we developed a predictive tool showing that high log P and log D values correlate with high crosstalk, and high polar surface area and log S correlate with low crosstalk. We then investigated several carrier fluids, surfactants, and flow conditions. It was discovered that transport is strongly dependent on all of these factors and that experimental design and surfactant tailoring can reduce carryover. We present evidence for mixed crosstalk mechanisms including both micellar and oil partitioning transfer. By understanding the driving mechanisms, surfactant and oil compositions can be designed to better reduce chemical transport for screening workflows.
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Affiliation(s)
- Emory M Payne
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48103, United States
| | - Maryam Taraji
- The Australian Wine Research Institute, Adelaide, South Australia 5064, Australia.,Metabolomics Australia, Adelaide, South Australia 5064, Australia.,School of Natural Sciences, University of Tasmania, Hobart, Tasmania 7005, Australia
| | - Bridget E Murray
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48103, United States
| | - Daniel A Holland-Moritz
- Process Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Jeffrey C Moore
- Process Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Paul R Haddad
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania 7005, Australia
| | - Robert T Kennedy
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48103, United States
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13
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Da Y, Luo S, Tian Y. Real-Time Monitoring of Neurotransmitters in the Brain of Living Animals. ACS APPLIED MATERIALS & INTERFACES 2023; 15:138-157. [PMID: 35394736 DOI: 10.1021/acsami.2c02740] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Neurotransmitters, as important chemical small molecules, perform the function of neural signal transmission from cell to cell. Excess concentrations of neurotransmitters are often closely associated with brain diseases, such as Alzheimer's disease, depression, schizophrenia, and Parkinson's disease. On the other hand, the release of neurotransmitters under the induced stimulation indicates the occurrence of reward-related behaviors, including food and drug addiction. Therefore, to understand the physiological and pathological functions of neurotransmitters, especially in complex environments of the living brain, it is urgent to develop effective tools to monitor their dynamics with high sensitivity and specificity. Over the past 30 years, significant advances in electrochemical sensors and optical probes have brought new possibilities for studying neurons and neural circuits by monitoring the changes in neurotransmitters. This Review focuses on the progress in the construction of sensors for in vivo analysis of neurotransmitters in the brain and summarizes current attempts to address key issues in the development of sensors with high selectivity, sensitivity, and stability. Combined with the latest advances in technologies and methods, several strategies for sensor construction are provided for recording chemical signal changes in the complex environment of the brain.
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Affiliation(s)
- Yifan Da
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Shihua Luo
- Department of Traumatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China
| | - Yang Tian
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
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14
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Hu R, Li Y, Yang Y, Liu M. Mass spectrometry-based strategies for single-cell metabolomics. MASS SPECTROMETRY REVIEWS 2023; 42:67-94. [PMID: 34028064 DOI: 10.1002/mas.21704] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 05/05/2021] [Accepted: 05/11/2021] [Indexed: 06/12/2023]
Abstract
Single cell analysis has drawn increasing interest from the research community due to its capability to interrogate cellular heterogeneity, allowing refined tissue classification and facilitating novel biomarker discovery. With the advancement of relevant instruments and techniques, it is now possible to perform multiple omics including genomics, transcriptomics, metabolomics or even proteomics at single cell level. In comparison with other omics studies, single-cell metabolomics (SCM) represents a significant challenge since it involves many types of dynamically changing compounds with a wide range of concentrations. In addition, metabolites cannot be amplified. Although difficult, considerable progress has been made over the past decade in mass spectrometry (MS)-based SCM in terms of processing technologies and biochemical applications. In this review, we will summarize recent progress in the development of promising MS platforms, sample preparation methods and SCM analysis of various cell types (including plant cell, cancer cell, neuron, embryo cell, and yeast cell). Current limitations and future research directions in the field of SCM will also be discussed.
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Affiliation(s)
- Rui Hu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ying Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yunhuang Yang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Maili Liu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
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15
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Chantipmanee N, Xu Y. Toward nanofluidics‐based mass spectrometry for exploring the unknown complex and heterogenous subcellular worlds. VIEW 2022. [DOI: 10.1002/viw.20220036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Affiliation(s)
- Nattapong Chantipmanee
- Department of Chemical Engineering Graduate School of Engineering Osaka Metropolitan University Sakai Japan
| | - Yan Xu
- Department of Chemical Engineering Graduate School of Engineering Osaka Metropolitan University Sakai Japan
- Japan Science and Technology Agency (JST) PRESTO Kawaguchi Japan
- Japan Science and Technology Agency (JST) CREST Kawaguchi Japan
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16
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Shi W, Bell S, Iyer H, Brenden CK, Zhang Y, Kim S, Park I, Bashir R, Sweedler J, Vlasov Y. Integrated silicon microfluidic chip for picoliter-scale analyte segmentation and microscale printing for mass spectrometry imaging. LAB ON A CHIP 2022; 23:72-80. [PMID: 36477760 PMCID: PMC9764807 DOI: 10.1039/d2lc00688j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 11/12/2022] [Indexed: 06/17/2023]
Abstract
A silicon single-chip microfluidics system that integrates microscale fluidic channels, an analyte segmentation device, and a nozzle for electrohydrodynamic-assisted printing is designed for hyphenation with MALDI mass spectrometry (MS) imaging. A miniaturized T-junction segments analytes into monodisperse picoliter oil-isolated compartments. The printing nozzle deposits generated droplets one-by-one into an array on a conductive substrate without splitting or coalescing. Virtually single-shot MS analysis is enabled due to the ultrasmall droplet volumes and highly localized printing. The signal-to-noise ratio indicates that detection limits at the attomole level are achieved for γ-aminobutyric acid.
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Affiliation(s)
- Weihua Shi
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
| | - Sara Bell
- Department of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, IL 61801, USA
| | - Hrishikesh Iyer
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
| | | | - Yan Zhang
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
| | - Sungho Kim
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
| | - Insu Park
- Department of Bioengineering, University of Illinois Urbana Champaign, IL 61801, USA
| | - Rashid Bashir
- Department of Bioengineering, University of Illinois Urbana Champaign, IL 61801, USA
| | - Jonathan Sweedler
- Department of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, IL 61801, USA
| | - Yurii Vlasov
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
- Department of Bioengineering, University of Illinois Urbana Champaign, IL 61801, USA
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17
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Zhang Y, Li K, Zhao Y, Shi W, Iyer H, Kim S, Brenden C, Sweedler JV, Vlasov Y. Attomole-Level Multiplexed Detection of Neurochemicals in Picoliter Droplets by On-Chip Nanoelectrospray Ionization Coupled to Mass Spectrometry. Anal Chem 2022; 94:13804-13809. [PMID: 36166829 PMCID: PMC9558086 DOI: 10.1021/acs.analchem.2c02323] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
![]()
While droplet microfluidics is becoming an effective
tool for biomedical research,
sensitive detection of droplet content is still challenging, especially
for multiplexed analytes compartmentalized within ultrasmall droplets
down to picoliter volumes. To enable such measurements, we demonstrate
a silicon-based integrated microfluidic platform for multiplexed analysis
of neurochemicals in picoliter droplets via nanoelectrospray ionization
(nESI)-mass spectrometry (MS). An integrated silicon microfluidic
chip comprising downscaled 7 μm-radius channels, a compact T-junction
for droplet generation, and an integrated nESI emitter tip is used
for segmentation of analytes into picoliter compartments and their
efficient delivery for subsequent MS detection. The developed system
demonstrates effective detection of multiple neurochemicals encapsulated
within oil-isolated plugs down to low picoliter volumes. Quantitative
measurements for each neurochemical demonstrate limits of detection
at the attomole level. Such results are promising for applications
involving label-free and small-volume detection for monitoring a range
of brain chemicals.
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Affiliation(s)
- Yan Zhang
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States
| | - Keyin Li
- Department of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States
| | - Yaoyao Zhao
- Department of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States
| | - Weihua Shi
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States
| | - Hrishikesh Iyer
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States
| | - Sungho Kim
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States
| | - Christopher Brenden
- Department of Bioengineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States
| | - Jonathan V Sweedler
- Department of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States
| | - Yurii Vlasov
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States.,Department of Bioengineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States
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18
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Chen Y, Yang Y, Zeng X, Feng JL, Oakes K, Zhang X, Cui S. Microfluidic chip interfacing microdialysis and mass spectrometry for in vivo monitoring of nanomedicine pharmacokinetics in real time. J Chromatogr A 2022; 1683:463520. [DOI: 10.1016/j.chroma.2022.463520] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 09/16/2022] [Accepted: 09/17/2022] [Indexed: 12/01/2022]
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19
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Teixidor J, Novello S, Ortiz D, Menin L, Lashuel HA, Bertsch A, Renaud P. On-Demand Nanoliter Sampling Probe for the Collection of Brain Fluid. Anal Chem 2022; 94:10415-10426. [PMID: 35786947 DOI: 10.1021/acs.analchem.2c01577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Continuous fluidic sampling systems allow collection of brain biomarkers in vivo. Here, we propose a new sequential and intermittent sampling paradigm using droplets, called Droplet on Demand (DoD). It is implemented in a microfabricated neural probe and alternates phases of analyte removal from the tissue and phases of equilibration of the concentration in the tissue. It allows sampling droplets loaded with molecules from the brain extracellular fluid punctually, without the long transient equilibration periods typical of continuous methods. It uses an accurately defined fluidic sequence with controlled timings, volumes, and flow rates, and correct operation is verified by the embedded electrodes and a flow sensor. As a proof of concept, we demonstrated the application of this novel approach in vitro and in vivo, to collect glucose in the brain of mice, with a temporal resolution of 1-2 min and without transient regime. Absolute quantification of the glucose level in the samples was performed by direct infusion nanoelectrospray ionization Fourier transform mass spectrometry (nanoESI-FTMS). By adjusting the diffusion time and the perfusion volume of DoD, the fraction of molecules recovered in the samples can be tuned to mirror the tissue concentration at accurate points in time. Moreover, this makes quantification of biomarkers in the brain possible within acute experiments of only 20-120 min. DoD provides a complementary tool to continuous microdialysis and push-pull sampling probes. Thus, the advances allowed by DoD will benefit quantitative molecular studies in the brain, i.e., for molecules involved in volume transmission or for protein aggregates that form in neurodegenerative diseases over long periods.
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Affiliation(s)
- Joan Teixidor
- Microsystems Laboratory 4 (STI-IEM-LMIS4), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Salvatore Novello
- Laboratory of Molecular and Chemical Biology of Neurodegeneration (SV-BMI-LMNN), EPFL, 1015 Lausanne, Switzerland
| | - Daniel Ortiz
- Mass Spectrometry and Elemental Analysis Platform (SB-ISIC-MSEAP), EPFL, 1015 Lausanne, Switzerland
| | - Laure Menin
- Mass Spectrometry and Elemental Analysis Platform (SB-ISIC-MSEAP), EPFL, 1015 Lausanne, Switzerland
| | - Hilal A Lashuel
- Laboratory of Molecular and Chemical Biology of Neurodegeneration (SV-BMI-LMNN), EPFL, 1015 Lausanne, Switzerland
| | - Arnaud Bertsch
- Microsystems Laboratory 4 (STI-IEM-LMIS4), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Philippe Renaud
- Microsystems Laboratory 4 (STI-IEM-LMIS4), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
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20
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Tjahjono N, Jin Y, Hsu A, Roukes M, Tian L. Letting the little light of mind shine: Advances and future directions in neurochemical detection. Neurosci Res 2022; 179:65-78. [PMID: 34861294 PMCID: PMC9508992 DOI: 10.1016/j.neures.2021.11.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 11/29/2021] [Indexed: 12/12/2022]
Abstract
Synaptic transmission via neurochemical release is the fundamental process that integrates and relays encoded information in the brain to regulate physiological function, cognition, and emotion. To unravel the biochemical, biophysical, and computational mechanisms of signal processing, one needs to precisely measure the neurochemical release dynamics with molecular and cell-type specificity and high resolution. Here we reviewed the development of analytical, electrochemical, and fluorescence imaging approaches to detect neurotransmitter and neuromodulator release. We discussed the advantages and practicality in implementation of each technology for ease-of-use, flexibility for multimodal studies, and challenges for future optimization. We hope this review will provide a versatile guide for tool engineering and applications for recording neurochemical release.
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Affiliation(s)
- Nikki Tjahjono
- Biomedical Engineering Graduate Group, University of California, Davis, Davis, CA, 95616, USA
| | - Yihan Jin
- Neuroscience Graduate Group, University of California, Davis, Davis, CA, 95618, USA
| | - Alice Hsu
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Michael Roukes
- Department of Physics, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Lin Tian
- Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA, 95616, USA.
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21
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Yu LD, Li N, Tong YJ, Han J, Qiu J, Ye YX, Chen G, Ouyang G, Zhu F. From exogenous to endogenous: Advances in vivo sampling in living systems. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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22
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Nix C, Ghassemi M, Crommen J, Fillet M. Overview on microfluidics devices for monitoring brain disorder biomarkers. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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23
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Parker HE, Sengupta S, Harish AV, Soares RRG, Joensson HN, Margulis W, Russom A, Laurell F. A Lab-in-a-Fiber optofluidic device using droplet microfluidics and laser-induced fluorescence for virus detection. Sci Rep 2022; 12:3539. [PMID: 35241725 PMCID: PMC8894408 DOI: 10.1038/s41598-022-07306-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 01/19/2022] [Indexed: 01/10/2023] Open
Abstract
Microfluidics has emerged rapidly over the past 20 years and has been investigated for a variety of applications from life sciences to environmental monitoring. Although continuous-flow microfluidics is ubiquitous, segmented-flow or droplet microfluidics offers several attractive features. Droplets can be independently manipulated and analyzed with very high throughput. Typically, microfluidics is carried out within planar networks of microchannels, namely, microfluidic chips. We propose that fibers offer an interesting alternative format with key advantages for enhanced optical coupling. Herein, we demonstrate the generation of monodisperse droplets within a uniaxial optofluidic Lab-in-a-Fiber scheme. We combine droplet microfluidics with laser-induced fluorescence (LIF) detection achieved through the development of an optical side-coupling fiber, which we term a periscope fiber. This arrangement provides stable and compact alignment. Laser-induced fluorescence offers high sensitivity and low detection limits with a rapid response time making it an attractive detection method for in situ real-time measurements. We use the well-established fluorophore, fluorescein, to characterize the Lab-in-a-Fiber device and determine the generation of [Formula: see text] 0.9 nL droplets. We present characterization data of a range of fluorescein concentrations, establishing a limit of detection (LOD) of 10 nM fluorescein. Finally, we show that the device operates within a realistic and relevant fluorescence regime by detecting reverse-transcription loop-mediated isothermal amplification (RT-LAMP) products in the context of COVID-19 diagnostics. The device represents a step towards the development of a point-of-care droplet digital RT-LAMP platform.
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Affiliation(s)
- Helen E. Parker
- grid.5037.10000000121581746Laser Physics Group, Department of Applied Physics, Royal Institute of Technology (KTH), 100 44 Stockholm, Sweden ,grid.9531.e0000000106567444Scottish Universities Physics Alliance (SUPA), Institute of Photonics and Quantum Sciences, Heriot-Watt University, Edinburgh, EH14 4AS UK
| | - Sanghamitra Sengupta
- grid.5037.10000000121581746Laser Physics Group, Department of Applied Physics, Royal Institute of Technology (KTH), 100 44 Stockholm, Sweden ,grid.417889.b0000 0004 0646 2441AMOLF, Science Park 104, 1098 XG Amsterdam, The Netherlands
| | - Achar V. Harish
- grid.5037.10000000121581746Laser Physics Group, Department of Applied Physics, Royal Institute of Technology (KTH), 100 44 Stockholm, Sweden
| | - Ruben R. G. Soares
- grid.5037.10000000121581746Science for Life Laboratory, Division of Nanobiotechnology, Department of Protein Science, Royal Institute of Technology (KTH), 171 65 Solna, Sweden
| | - Haakan N. Joensson
- grid.5037.10000000121581746Science for Life Laboratory, Division of Nanobiotechnology, Department of Protein Science, Royal Institute of Technology (KTH), 171 65 Solna, Sweden
| | - Walter Margulis
- grid.5037.10000000121581746Laser Physics Group, Department of Applied Physics, Royal Institute of Technology (KTH), 100 44 Stockholm, Sweden ,Research Institutes of Sweden (RISE), 164 19 Stockholm, Sweden
| | - Aman Russom
- grid.5037.10000000121581746Science for Life Laboratory, Division of Nanobiotechnology, Department of Protein Science, Royal Institute of Technology (KTH), 171 65 Solna, Sweden ,grid.5037.10000000121581746AIMES - Center for the Advancement of Integrated Medical and Engineering Sciences at Karolinska Institutet and KTH Royal Institute of Technology, Stockholm, Sweden
| | - Fredrik Laurell
- grid.5037.10000000121581746Laser Physics Group, Department of Applied Physics, Royal Institute of Technology (KTH), 100 44 Stockholm, Sweden
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24
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Wu G, Heck I, Zhang N, Phaup G, Zhang X, Wu Y, Stalla DE, Weng Z, Sun H, Li H, Zhang Z, Ding S, Li DP, Zhang Y. Wireless, battery-free push-pull microsystem for membrane-free neurochemical sampling in freely moving animals. SCIENCE ADVANCES 2022; 8:eabn2277. [PMID: 35196090 PMCID: PMC8865804 DOI: 10.1126/sciadv.abn2277] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 12/29/2021] [Indexed: 06/12/2023]
Abstract
Extensive studies in both animals and humans have demonstrated that high molecular weight neurochemicals, such as neuropeptides and other polypeptide neurochemicals, play critical roles in various neurological disorders. Despite many attempts, existing methods are constrained by detecting neuropeptide release in small animal models during behavior tasks, which leaves the molecular mechanisms underlying many neurological and psychological disorders unresolved. Here, we report a wireless, programmable push-pull microsystem for membrane-free neurochemical sampling with cellular spatial resolution in freely moving animals. In vitro studies demonstrate the sampling of various neurochemicals with high recovery (>80%). Open-field tests reveal that the device implantation does not affect the natural behavior of mice. The probe successfully captures the pharmacologically evoked release of neuropeptide Y in freely moving mice. This wireless push-pull microsystem creates opportunities for neuroscientists to understand where, when, and how the release of neuropeptides modulates diverse behavioral outputs of the brain.
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Affiliation(s)
- Guangfu Wu
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Ian Heck
- Department of Biomedical, Biological, and Chemical Engineering, University of Missouri, Columbia, MO 65211, USA
| | - Nannan Zhang
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA
| | - Glenn Phaup
- Center for Precision Medicine, University of Missouri, Columbia, MO 65212, USA
| | - Xincheng Zhang
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Yixin Wu
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - David E. Stalla
- Electron Microscopy Core, University of Missouri, Columbia, MO 65211, USA
| | - Zhengyan Weng
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - He Sun
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Huijie Li
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Zhe Zhang
- Department of Biomedical, Biological, and Chemical Engineering, University of Missouri, Columbia, MO 65211, USA
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA
| | - Shinghua Ding
- Department of Biomedical, Biological, and Chemical Engineering, University of Missouri, Columbia, MO 65211, USA
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA
| | - De-Pei Li
- Center for Precision Medicine, University of Missouri, Columbia, MO 65212, USA
| | - Yi Zhang
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
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25
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Zhang Y, Kim S, Shi W, Zhao Y, Park I, Brenden C, Iyer H, Jha P, Bashir R, Sweedler JV, Vlasov Y. Droplet-assisted electrospray phase separation using an integrated silicon microfluidic platform. LAB ON A CHIP 2021; 22:40-46. [PMID: 34897344 PMCID: PMC8691365 DOI: 10.1039/d1lc00758k] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 10/01/2021] [Indexed: 06/14/2023]
Abstract
We report a silicon microfluidic platform that enables monolithic integration of transparent micron-scale microfluidic channels, an on-chip segmentation of analyte flows into picoliter-volume droplets, and a nano-electrospray ionization emitter that enables spatial and temporal separation of oil and aqueous phases during electro-spray for subsequent mass spectrometry analysis.
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Affiliation(s)
- Yan Zhang
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
| | - Sungho Kim
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
| | - Weihua Shi
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
| | - Yaoyao Zhao
- Department of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, IL 61801, USA
| | - Insu Park
- Department of Bioengineering, University of Illinois Urbana Champaign, IL 61801, USA
| | - Christopher Brenden
- Department of Bioengineering, University of Illinois Urbana Champaign, IL 61801, USA
| | - Hrishikesh Iyer
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
| | - Prasoon Jha
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
| | - Rashid Bashir
- Department of Bioengineering, University of Illinois Urbana Champaign, IL 61801, USA
| | - Jonathan V Sweedler
- Department of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, IL 61801, USA
| | - Yurii Vlasov
- Department of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA.
- Department of Bioengineering, University of Illinois Urbana Champaign, IL 61801, USA
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26
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Bell SE, Park I, Rubakhin SS, Bashir R, Vlasov Y, Sweedler JV. Droplet Microfluidics with MALDI-MS Detection: The Effects of Oil Phases in GABA Analysis. ACS MEASUREMENT SCIENCE AU 2021; 1:147-156. [PMID: 34939077 PMCID: PMC8679089 DOI: 10.1021/acsmeasuresciau.1c00017] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Indexed: 06/01/2023]
Abstract
Microfluidic and mass spectrometry (MS) methods are widely used to sample and probe the chemical composition of biological systems to elucidate chemical correlates of their healthy and disease states. Though matrix-assisted laser desorption/ionization-mass spectrometry (MALDI)-MS has been hyphenated to droplet microfluidics for offline analyses, the effects of parameters related to droplet generation, such as the type of oil phase used, have been understudied. To characterize these effects, five different oil phases were tested in droplet microfluidics for producing samples for MALDI-MS analysis. Picoliter to nanoliter aqueous droplets containing 0.1 to 100 mM γ-aminobutyric acid (GABA) and inorganic salts were generated inside a polydimethylsiloxane microfluidic chip and deposited onto a conductive glass slide. Optical microscopy, Raman spectroscopy, and MALDI-mass spectrometry imaging (MSI) of the droplet samples and surrounding areas revealed patterns of solvent and oil evaporation and analyte deposition. Optical microscopy detected the presence of salt crystals in 50-100 μm diameter dried droplets, and Raman and MSI were used to correlate GABA signals to the visible droplet footprints. MALDI-MS analyses revealed that droplets prepared in the presence of octanol oil led to the poorest detectability of GABA, whereas the oil phases containing FC-40 provided the best detectability; GABA signal was localized to the footprint of 65 pL droplets with a limit of detection of 23 amol. The effect of the surfactant perfluorooctanol on analyte detection was also investigated.
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Affiliation(s)
- Sara E. Bell
- Department
of Chemistry, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
| | - Insu Park
- Holonyak
Micro & Nanotechnology Laboratory, University
of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
| | - Stanislav S. Rubakhin
- Department
of Chemistry, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
| | - Rashid Bashir
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
- Holonyak
Micro & Nanotechnology Laboratory, University
of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
- Department
of Electrical and Computer Engineering, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
- Department
of Bioengineering, University of Illinois
at Urbana−Champaign, Urbana, Illinois 61801, United States
| | - Yurii Vlasov
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
- Holonyak
Micro & Nanotechnology Laboratory, University
of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
- Department
of Electrical and Computer Engineering, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
- Department
of Bioengineering, University of Illinois
at Urbana−Champaign, Urbana, Illinois 61801, United States
| | - Jonathan V. Sweedler
- Department
of Chemistry, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States
- Department
of Bioengineering, University of Illinois
at Urbana−Champaign, Urbana, Illinois 61801, United States
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Clay M, Monbouquette HG. Simulated Performance of Electroenzymatic Glutamate Biosensors In Vivo Illuminates the Complex Connection to Calibration In Vitro. ACS Chem Neurosci 2021; 12:4275-4285. [PMID: 34734695 DOI: 10.1021/acschemneuro.1c00365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Detailed simulations show that the relationship between electroenzymatic glutamate (Glut) sensor performance in vitro and that modeled in vivo is complicated by the influence of both resistances to mass transfer and clearance rates of Glut and H2O2 in the brain extracellular space (ECS). Mathematical modeling provides a powerful means to illustrate how these devices are expected to respond to a variety of conditions in vivo in ways that cannot be accomplished readily using existing experimental techniques. Through the use of transient model simulations in one spatial dimension, it is shown that the sensor response in vivo may exhibit much greater dependence on H2O2 mass transfer and clearance in the surrounding tissue than previously thought. This dependence may lead to sensor signals more than double the expected values (based on prior sensor calibration in vitro) for Glut release events within a few microns of the sensor surface. The sensor response in general is greatly affected by the distance between the device and location of Glut release, and apparent concentrations reported by simulated sensors consistently are well below the actual Glut levels for events occurring at distances greater than a few microns. Simulations of transient Glut concentrations, including a physiologically relevant bolus release, indicate that detection of Glut signaling likely is limited to events within 30 μm of the sensor surface based on representative sensor detection limits. It follows that important limitations also exist with respect to interpretation of decays in sensor signals, including relation of such data to actual Glut concentration declines in vivo. Thus, the use of sensor signal data to determine quantitatively the rates of Glut uptake from the brain ECS likely is problematic. The model is designed to represent a broad range of relevant physiological conditions, and although limited to one dimension, provides much needed guidance regarding the interpretation in general of electroenzymatic sensor data gathered in vivo.
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Affiliation(s)
- Mackenzie Clay
- Chemical and Biomolecular Engineering Department, University of California, Los Angeles, California 90095−1592, United States
| | - Harold G. Monbouquette
- Chemical and Biomolecular Engineering Department, University of California, Los Angeles, California 90095−1592, United States
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28
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Song H, Liu Y, Fang Y, Zhang D. Carbon-Based Electrochemical Sensors for In Vivo and In Vitro Neurotransmitter Detection. Crit Rev Anal Chem 2021; 53:955-974. [PMID: 34752170 DOI: 10.1080/10408347.2021.1997571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
As essential neurological chemical messengers, neurotransmitters play an integral role in the maintenance of normal mammalian physiology. Aberrant neurotransmitter activity is associated with a range of neurological conditions including Parkinson's disease, Alzheimer's disease, and Huntington's disease. Many studies to date have tested different approaches to detecting neurotransmitters, yet the detection of these materials within the brain, due to the complex environment of the brain and the rapid metabolism of neurotransmitters, remains challenging and an area of active research. There is a clear need for the development of novel neurotransmitter sensing technologies capable of rapidly and sensitively monitoring specific analytes within the brain without adversely impacting the local microenvironment in which they are implanted. Owing to their excellent sensitivity, portability, ease-of-use, amenability to microprocessing, and low cost, electrochemical sensors methods have been widely studied in the context of neurotransmitter monitoring. The present review, thus, surveys current progress in this research field, discussing developed electrochemical neurotransmitter sensors capable of detecting dopamine (DA), serotonin (5-HT), acetylcholine (Ach), glutamate (Glu), nitric oxide (NO), adenosine (ADO), and so on. Of these technologies, those based on carbon nanostructures-modified electrodes including carbon nanotubes (CNTs), graphene (GR), gaphdiyne (GDY), carbon nanofibers (CNFs), and derivatives thereof hold particular promise owing to their excellent biocompatibility and electrocatalytic performance. The continued development of these and related technologies is, thus, likely to lead to major advances in the clinical diagnosis of neurological diseases and the detection of novel biomarkers thereof.
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Affiliation(s)
- Huijun Song
- Research Center of Experimental Acupuncture Science, College of Acumox and Tuina, Tianjin University of Traditional Chinese Medicine, Tianjin, PR China
| | - Yangyang Liu
- Research Center of Experimental Acupuncture Science, College of Acumox and Tuina, Tianjin University of Traditional Chinese Medicine, Tianjin, PR China
| | - Yuxin Fang
- Research Center of Experimental Acupuncture Science, College of Acumox and Tuina, Tianjin University of Traditional Chinese Medicine, Tianjin, PR China
| | - Di Zhang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, PR China
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29
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Movassaghi CS, Perrotta KA, Yang H, Iyer R, Cheng X, Dagher M, Fillol MA, Andrews AM. Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression. Anal Bioanal Chem 2021; 413:6747-6767. [PMID: 34686897 PMCID: PMC8551120 DOI: 10.1007/s00216-021-03665-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 09/11/2021] [Accepted: 09/14/2021] [Indexed: 11/12/2022]
Abstract
Many voltammetry methods have been developed to monitor brain extracellular dopamine levels. Fewer approaches have been successful in detecting serotonin in vivo. No voltammetric techniques are currently available to monitor both neurotransmitters simultaneously across timescales, even though they play integrated roles in modulating behavior. We provide proof-of-concept for rapid pulse voltammetry coupled with partial least squares regression (RPV-PLSR), an approach adapted from multi-electrode systems (i.e., electronic tongues) used to identify multiple components in complex environments. We exploited small differences in analyte redox profiles to select pulse steps for RPV waveforms. Using an intentionally designed pulse strategy combined with custom instrumentation and analysis software, we monitored basal and stimulated levels of dopamine and serotonin. In addition to faradaic currents, capacitive currents were important factors in analyte identification arguing against background subtraction. Compared to fast-scan cyclic voltammetry-principal components regression (FSCV-PCR), RPV-PLSR better differentiated and quantified basal and stimulated dopamine and serotonin associated with striatal recording electrode position, optical stimulation frequency, and serotonin reuptake inhibition. The RPV-PLSR approach can be generalized to other electrochemically active neurotransmitters and provides a feedback pipeline for future optimization of multi-analyte, fit-for-purpose waveforms and machine learning approaches to data analysis.
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Affiliation(s)
- Cameron S Movassaghi
- Department of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Katie A Perrotta
- Department of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Hongyan Yang
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Rahul Iyer
- Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xinyi Cheng
- Department of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Merel Dagher
- Molecular Toxicology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Miguel Alcañiz Fillol
- Interuniversity Research Institute for Molecular Recognition and Technological Development, Universitat Politècnica de València - Universitat de València, Camino de Vera s/n, 46022, Valencia, Spain.
| | - Anne M Andrews
- Department of Chemistry & Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Molecular Toxicology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
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Profiling of Carnitine Shuttle System Intermediates in Gliomas Using Solid-Phase Microextraction (SPME). Molecules 2021; 26:molecules26206112. [PMID: 34684691 PMCID: PMC8540799 DOI: 10.3390/molecules26206112] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/05/2021] [Accepted: 10/06/2021] [Indexed: 01/17/2023] Open
Abstract
Alterations in the carnitine shuttle system may be an indication of the presence of cancer. As such, in-depth analyses of this pathway in different malignant tumors could be important for the detection and treatment of this disease. The current study aims to assess the profiles of carnitine and acylcarnitines in gliomas with respect to their grade, the presence of isocitrate dehydrogenase (IDH) mutations, and 1p/19q co-deletion. Brain tumors obtained from 19 patients were sampled on-site using solid-phase microextraction (SPME) immediately following excision. Analytes were desorbed and then analyzed via liquid chromatography–high-resolution mass spectrometry. The results showed that SPME enabled the extraction of carnitine and 22 acylcarnitines. An analysis of the correlation factor revealed the presence of two separate clusters: short-chain and long-chain carnitine esters. Slightly higher carnitine and acylcarnitine concentrations were observed in the higher-malignancy tumor samples (high vs. low grade) and in those samples with worse projected clinical outcomes (without vs. with IDH mutation; without vs. with 1p/19q co-deletion). Thus, the proposed chemical biopsy approach offers a simple solution for on-site sampling that enables sample preservation, thus supporting comprehensive multi-method analyses.
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31
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Ha NS, de Raad M, Han LZ, Golini A, Petzold CJ, Northen TR. Faster, better, and cheaper: harnessing microfluidics and mass spectrometry for biotechnology. RSC Chem Biol 2021; 2:1331-1351. [PMID: 34704041 PMCID: PMC8496484 DOI: 10.1039/d1cb00112d] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 07/01/2021] [Indexed: 12/14/2022] Open
Abstract
High-throughput screening technologies are widely used for elucidating biological activities. These typically require trade-offs in assay specificity and sensitivity to achieve higher throughput. Microfluidic approaches enable rapid manipulation of small volumes and have found a wide range of applications in biotechnology providing improved control of reaction conditions, faster assays, and reduced reagent consumption. The integration of mass spectrometry with microfluidics has the potential to create high-throughput, sensitivity, and specificity assays. This review introduces the widely-used mass spectrometry ionization techniques that have been successfully integrated with microfluidics approaches such as continuous-flow system, microchip electrophoresis, droplet microfluidics, digital microfluidics, centrifugal microfluidics, and paper microfluidics. In addition, we discuss recent applications of microfluidics integrated with mass spectrometry in single-cell analysis, compound screening, and the study of microorganisms. Lastly, we provide future outlooks towards online coupling, improving the sensitivity and integration of multi-omics into a single platform.
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Affiliation(s)
- Noel S Ha
- Biological Systems and Engineering, Lawrence Berkeley National Laboratory Berkeley CA USA
- US Department of Energy Joint BioEnergy Institute Emeryville CA USA
| | - Markus de Raad
- Environmental Genomics and Systems Biology, Biosciences, Lawrence Berkeley National Laboratory Berkeley CA USA
| | - La Zhen Han
- Environmental Genomics and Systems Biology, Biosciences, Lawrence Berkeley National Laboratory Berkeley CA USA
- US Department of Energy Joint Genome Institute Berkeley CA USA
| | - Amber Golini
- Environmental Genomics and Systems Biology, Biosciences, Lawrence Berkeley National Laboratory Berkeley CA USA
- US Department of Energy Joint Genome Institute Berkeley CA USA
| | - Christopher J Petzold
- Biological Systems and Engineering, Lawrence Berkeley National Laboratory Berkeley CA USA
- US Department of Energy Joint BioEnergy Institute Emeryville CA USA
| | - Trent R Northen
- Biological Systems and Engineering, Lawrence Berkeley National Laboratory Berkeley CA USA
- US Department of Energy Joint BioEnergy Institute Emeryville CA USA
- Environmental Genomics and Systems Biology, Biosciences, Lawrence Berkeley National Laboratory Berkeley CA USA
- US Department of Energy Joint Genome Institute Berkeley CA USA
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32
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Mass spectrometry based metabolomics of volume-restricted in-vivo brain samples: Actual status and the way forward. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116365] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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33
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Quantitative electrolysis of droplet contents in microfluidic channels. Concept and experimental validation. Electrochim Acta 2021. [DOI: 10.1016/j.electacta.2021.139017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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34
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New chemical biopsy tool for spatially resolved profiling of human brain tissue in vivo. Sci Rep 2021; 11:19522. [PMID: 34593948 PMCID: PMC8484280 DOI: 10.1038/s41598-021-98973-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/06/2021] [Indexed: 11/08/2022] Open
Abstract
It is extremely challenging to perform chemical analyses of the brain, particularly in humans, due to the restricted access to this organ. Imaging techniques are the primary approach used in clinical practice, but they only provide limited information about brain chemistry. Solid-phase microextraction (SPME) has been presented recently as a chemical biopsy tool for the study of animal brains. The current work demonstrates for the first time the use of SPME for the spatially resolved sampling of the human brain in vivo. Specially designed multi-probe sampling device was used to simultaneously extract metabolites from the white and grey matter of patients undergoing brain tumor biopsies. Samples were collected by inserting the probes along the planned trajectory of the biopsy needle prior to the procedure, which was followed by metabolomic and lipidomic analyses. The results revealed that studied brain structures were predominantly composed of lipids, while the concentration and diversity of detected metabolites was higher in white than in grey matter. Although the small number of participants in this research precluded conclusions of a biological nature, the results highlight the advantages of the proposed SPME approach, as well as disadvantages that should be addressed in future studies.
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35
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Leroy A, Teixidor J, Bertsch A, Renaud P. In-flow electrochemical detection of chemicals in droplets with pyrolysed photoresist electrodes: application as a module for quantification of microsampled dopamine. LAB ON A CHIP 2021; 21:3328-3337. [PMID: 34250532 DOI: 10.1039/d1lc00116g] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The electrochemical quantification of analytes in droplets of PBS separated by a fluorinated phase was investigated. PDMS-fused silica chips with pyrolysed photoresist electrodes were prepared using a simple fabrication technique and used to analyze droplets in flow. Potentiostatic chronoamperometry provided current readouts consistent with mass transport and the concentration inside the droplets. This paper highlights measurements of dopamine in droplets in T-junction microfluidic chips at unprecedently low concentrations, with a limit of detection of 207 nM and a linear range of 0.21-20 μM, giving results similar to continuous flow electrochemistry and allowing the analysis in the striatal extracellular range (<1 μM). The system was applied to the quick and reliable on-line detection of dopamine concentration steps in droplets collected with a microsampling probe in vitro, demonstrating the usefulness of the electrochemical device as a quantification module for microsampled chemicals in droplets.
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Affiliation(s)
- Albert Leroy
- EPFL-STI-IMT-LMIS4, École Polytechnique Fédérale de Lausanne, Station 17, CH-1015 Lausanne, Switzerland.
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36
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Shi N, Mohibullah M, Easley CJ. Active Flow Control and Dynamic Analysis in Droplet Microfluidics. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2021; 14:133-153. [PMID: 33979546 PMCID: PMC8956363 DOI: 10.1146/annurev-anchem-122120-042627] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Droplet-based microfluidics has emerged as an important subfield within the microfluidic and general analytical communities. Indeed, several unique applications such as digital assay readout and single-cell sequencing now have commercial systems based on droplet microfluidics. Yet there remains room for this research area to grow. To date, most analytical readouts are optical in nature, relatively few studies have integrated sample preparation, and passive means for droplet formation and manipulation have dominated the field. Analytical scientists continue to expand capabilities by developing droplet-compatible method adaptations, for example, by interfacing to mass spectrometers or automating droplet sampling for temporally resolved analysis. In this review, we highlight recently developed fluidic control techniques and unique integrations of analytical methodology with droplet microfluidics-focusing on automation and the connections to analog/digital domains-and we conclude by offering a perspective on current challenges and future applications.
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Affiliation(s)
- Nan Shi
- Department of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, USA;
| | - Md Mohibullah
- Department of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, USA;
| | - Christopher J Easley
- Department of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, USA;
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Chae U, Shin H, Choi N, Ji MJ, Park HM, Lee SH, Woo J, Cho Y, Kim K, Yang S, Nam MH, Yu HY, Cho IJ. Bimodal neural probe for highly co-localized chemical and electrical monitoring of neural activities in vivo. Biosens Bioelectron 2021; 191:113473. [PMID: 34237704 DOI: 10.1016/j.bios.2021.113473] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 05/31/2021] [Accepted: 06/28/2021] [Indexed: 10/21/2022]
Abstract
Investigation of the chemical and electrical signals of cells in vivo is critical for studying functional connectivity and brain diseases. Most previous studies have observed either the electrical signals or the chemical signals of cells because recording electrical signals and neurochemicals are done by fundamentally different methods. Herein, we present a bimodal MEMS neural probe that is monolithically integrated with an array of microelectrodes for recording electrical activity, microfluidic channels for sampling extracellular fluid, and a microfluidic interface chip for multiple drug delivery and sample isolation from the localized region at the cellular level. In this work, we successfully demonstrated the functionality of our probe by monitoring and modulating bimodal (electrical and chemical) neural activities through the delivery of chemicals in a co-localized brain region in vivo. We expect our bimodal probe to provide opportunities for a variety of in-depth studies of brain functions as well as for the investigation of neural circuits related to brain diseases.
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Affiliation(s)
- Uikyu Chae
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea; School of Electrical Engineering, Korea University, Seoul, Republic of Korea
| | - Hyogeun Shin
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Nakwon Choi
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea; Division of Bio-Medical Science & Technology, KIST School, Korea University of Science and Technology (UST), Daejeon, Republic of Korea
| | - Mi-Jung Ji
- Advanced Analysis Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Hyun-Mee Park
- Advanced Analysis Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Soo Hyun Lee
- Department of Medical Records and Health Information Management College of Nursing and Health, Kongju National University, Gongju-si, Chungcheongnam-do, Republic of Korea
| | - Jiwan Woo
- Research Animal Resource Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Yakdol Cho
- Research Animal Resource Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Kanghwan Kim
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Seulkee Yang
- Convergence Research Center for Brain Science, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Min-Ho Nam
- Convergence Research Center for Brain Science, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Hyun-Yong Yu
- School of Electrical Engineering, Korea University, Seoul, Republic of Korea
| | - Il-Joo Cho
- Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea; School of Electrical and Electronics Engineering, Yonsei University, Seoul, Republic of Korea; Yonsei-KIST Convergence Research Institute, Yonsei University, Seoul, Republic of Korea.
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Kawakami D, Tsuchiya M, Murata T, Iguchi A, Zaitsu K. Rapid quantification of extracellular neurotransmitters in mouse brain by PESI/MS/MS and longitudinal data analysis using the R and Stan-based Bayesian state-space model. Talanta 2021; 234:122620. [PMID: 34364429 DOI: 10.1016/j.talanta.2021.122620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/11/2021] [Accepted: 06/12/2021] [Indexed: 10/21/2022]
Abstract
We developed a methodology for rapid quantification of extracellular neurotransmitters in mouse brain by PESI/MS/MS and longitudinal data analysis using the R and Stan-based Bayesian state-space model. We performed a rapid analysis for quantifying extracellular l-glutamic acid (L-Glu) and gamma-aminobutyric acid (GABA) in the mouse striatum by combined use of probe electrospray ionization/tandem mass spectrometry (PESI/MS/MS) and in vivo brain microdialysis. We optimized the PESI/MS/MS parameters with the authentic L-Glu, GABA, L-Glu-13C5,15N1, and GABA-D6 standards. We constructed calibration curves of L-Glu and GABA with the stable isotope internal standard correction method (L-Glu-13C5,15N1, and GABA-D6), demonstrating sufficient linearity (R > 0.999). Additionally, the quantitative method for L-Glu and GABA was validated with low-, middle-, and high-quality control samples. The intra- and inter-day accuracy and precision were 0.4%-7.5% and 1.7%-5.4% for L-Glu, respectively, and 0.1%-4.8% and 2.1%-5.7% for GABA, respectively, demonstrating high reproducibility of the method. To evaluate the feasibility of this method, microdialyses were performed on free-moving mice that were stimulated by high-K+-induced depolarization under different sampling conditions: 1) every 5 min for 150 min (n = 2) and 2) every 1 min for 30 min (n = 3). We applied the R and Stan-based Bayesian state-space model to each mouse's time-series data considering autocorrelation, and the model successfully detected abnormal changes in the L-Glu and GABA levels in each mouse. Thus, the L-Glu and GABA levels in all microdialysates approximately increased up to two- and seven-fold levels through high-K+-induced depolarization. Additionally, a 1-min temporal resolution was achieved using this method, thereby successfully monitoring microenvironmental changes in the extracellular L-Glu and GABA of the mouse striatum. In conclusion, this methodology using PESI/MS/MS and Bayesian state-space model allowed easy monitoring of neurotransmitters at high temporal resolutions and appropriate data interpretation considering autocorrelation of time-series data, which will reveal hidden pathological mechanisms of brain diseases, such as Parkinson's disease and Huntington's disease in the future.
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Affiliation(s)
- Daisuke Kawakami
- Department of Legal Medicine & Bioethics, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan; Shimadzu Corporation, 1, Nishinokyo-Kuwabaracho Nakagyo-ku, Kyoto, 604-8511, Japan
| | - Mitsuki Tsuchiya
- Department of Legal Medicine & Bioethics, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Tasuku Murata
- Shimadzu Corporation, 1, Nishinokyo-Kuwabaracho Nakagyo-ku, Kyoto, 604-8511, Japan
| | - Akira Iguchi
- Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8567, Japan
| | - Kei Zaitsu
- Department of Legal Medicine & Bioethics, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan; In Vivo Real-time Omics Laboratory, Institute for Advanced Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
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Brain neurochemical monitoring. Biosens Bioelectron 2021; 189:113351. [PMID: 34049083 DOI: 10.1016/j.bios.2021.113351] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 05/05/2021] [Accepted: 05/13/2021] [Indexed: 02/08/2023]
Abstract
Brain neurochemical monitoring aims to provide continuous and accurate measurements of brain biomarkers. It has enabled significant advances in neuroscience for application in clinical diagnostics, treatment, and prevention of brain diseases. Microfabricated electrochemical and optical spectroscopy sensing technologies have been developed for precise monitoring of brain neurochemicals. Here, a comprehensive review on the progress of sensing technologies developed for brain neurochemical monitoring is presented. The review provides a summary of the widely measured clinically relevant neurochemicals and commonly adopted recognition technologies. Recent advances in sampling, electrochemistry, and optical spectroscopy for brain neurochemical monitoring are highlighted and their application are discussed. Existing gaps in current technologies and future directions to design industry standard brain neurochemical sensing devices for clinical applications are addressed.
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40
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Booth MA, Gowers SAN, Hersey M, Samper IC, Park S, Anikeeva P, Hashemi P, Stevens MM, Boutelle MG. Fiber-Based Electrochemical Biosensors for Monitoring pH and Transient Neurometabolic Lactate. Anal Chem 2021; 93:6646-6655. [PMID: 33797893 PMCID: PMC8153388 DOI: 10.1021/acs.analchem.0c05108] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
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Developing tools
that are able to monitor transient neurochemical
dynamics is important to decipher brain chemistry and function. Multifunctional
polymer-based fibers have been recently applied to monitor and modulate
neural activity. Here, we explore the potential of polymer fibers
comprising six graphite-doped electrodes and two microfluidic channels
within a flexible polycarbonate body as a platform for sensing pH
and neurometabolic lactate. Electrodes were made into potentiometric
sensors (responsive to pH) or amperometric sensors (lactate biosensors).
The growth of an iridium oxide layer made the fiber electrodes responsive
to pH in a physiologically relevant range. Lactate biosensors were
fabricated via platinum black growth on the fiber electrode, followed
by an enzyme layer, making them responsive to lactate concentration.
Lactate fiber biosensors detected transient neurometabolic lactate
changes in an in vivo mouse model. Lactate concentration changes were
associated with spreading depolarizations, known to be detrimental
to the injured brain. Induced waves were identified by a signature
lactate concentration change profile and measured as having a speed
of ∼2.7 mm/min (n = 4 waves). Our work highlights
the potential applications of fiber-based biosensors for direct monitoring
of brain metabolites in the context of injury.
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Affiliation(s)
- Marsilea A Booth
- Department of Bioengineering, Imperial College London, London SW7 2AZ, U.K.,Department of Materials, Imperial College London, London SW7 2AZ, U.K.,Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Sally A N Gowers
- Department of Bioengineering, Imperial College London, London SW7 2AZ, U.K
| | - Melinda Hersey
- Department of Chemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Isabelle C Samper
- Department of Bioengineering, Imperial College London, London SW7 2AZ, U.K
| | - Seongjun Park
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.,Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.,KAIST Institute for Health Science and Technology, Daejeon 34141, Republic of Korea
| | - Polina Anikeeva
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Parastoo Hashemi
- Department of Materials, Imperial College London, London SW7 2AZ, U.K.,Department of Chemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Molly M Stevens
- Department of Bioengineering, Imperial College London, London SW7 2AZ, U.K.,Department of Materials, Imperial College London, London SW7 2AZ, U.K.,Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Martyn G Boutelle
- Department of Bioengineering, Imperial College London, London SW7 2AZ, U.K
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Tan C, Robbins EM, Wu B, Cui XT. Recent Advances in In Vivo Neurochemical Monitoring. MICROMACHINES 2021; 12:208. [PMID: 33670703 PMCID: PMC7922317 DOI: 10.3390/mi12020208] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/11/2021] [Accepted: 02/14/2021] [Indexed: 12/20/2022]
Abstract
The brain is a complex network that accounts for only 5% of human mass but consumes 20% of our energy. Uncovering the mysteries of the brain's functions in motion, memory, learning, behavior, and mental health remains a hot but challenging topic. Neurochemicals in the brain, such as neurotransmitters, neuromodulators, gliotransmitters, hormones, and metabolism substrates and products, play vital roles in mediating and modulating normal brain function, and their abnormal release or imbalanced concentrations can cause various diseases, such as epilepsy, Alzheimer's disease, and Parkinson's disease. A wide range of techniques have been used to probe the concentrations of neurochemicals under normal, stimulated, diseased, and drug-induced conditions in order to understand the neurochemistry of drug mechanisms and develop diagnostic tools or therapies. Recent advancements in detection methods, device fabrication, and new materials have resulted in the development of neurochemical sensors with improved performance. However, direct in vivo measurements require a robust sensor that is highly sensitive and selective with minimal fouling and reduced inflammatory foreign body responses. Here, we review recent advances in neurochemical sensor development for in vivo studies, with a focus on electrochemical and optical probes. Other alternative methods are also compared. We discuss in detail the in vivo challenges for these methods and provide an outlook for future directions.
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Affiliation(s)
- Chao Tan
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; (C.T.); (E.M.R.); (B.W.)
| | - Elaine M. Robbins
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; (C.T.); (E.M.R.); (B.W.)
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Bingchen Wu
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; (C.T.); (E.M.R.); (B.W.)
- Center for Neural Basis of Cognition, Pittsburgh, PA 15213, USA
| | - Xinyan Tracy Cui
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; (C.T.); (E.M.R.); (B.W.)
- Center for Neural Basis of Cognition, Pittsburgh, PA 15213, USA
- McGowan Institute for Regenerative Medicine, Pittsburgh, PA 15219, USA
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42
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Jaquins-Gerstl A, Michael AC. Dexamethasone-Enhanced Microdialysis and Penetration Injury. Front Bioeng Biotechnol 2020; 8:602266. [PMID: 33364231 PMCID: PMC7752925 DOI: 10.3389/fbioe.2020.602266] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 11/11/2020] [Indexed: 01/25/2023] Open
Abstract
Microdialysis probes, electrochemical microsensors, and neural prosthetics are often used for in vivo monitoring, but these are invasive devices that are implanted directly into brain tissue. Although the selectivity, sensitivity, and temporal resolution of these devices have been characterized in detail, less attention has been paid to the impact of the trauma they inflict on the tissue or the effect of any such trauma on the outcome of the measurements they are used to perform. Factors affecting brain tissue reaction to the implanted devices include: the mechanical trauma during insertion, the foreign body response, implantation method, and physical properties of the device (size, shape, and surface characteristics. Modulation of the immune response is an important step toward making these devices with reliable long-term performance. Local release of anti-inflammatory agents such as dexamethasone (DEX) are often used to mitigate the foreign body response. In this article microdialysis is used to locally deliver DEX to the surrounding brain tissue. This work discusses the immune response resulting from microdialysis probe implantation. We briefly review the principles of microdialysis and the applications of DEX with microdialysis in (i) neuronal devices, (ii) dopamine and fast scan cyclic voltammetry, (iii) the attenuation of microglial cells, (iv) macrophage polarization states, and (v) spreading depolarizations. The difficulties and complexities in these applications are herein discussed.
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43
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Sabatini BL, Tian L. Imaging Neurotransmitter and Neuromodulator Dynamics In Vivo with Genetically Encoded Indicators. Neuron 2020; 108:17-32. [PMID: 33058762 DOI: 10.1016/j.neuron.2020.09.036] [Citation(s) in RCA: 98] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 08/10/2020] [Accepted: 09/25/2020] [Indexed: 12/16/2022]
Abstract
The actions of neuromodulation are thought to mediate the ability of the mammalian brain to dynamically adjust its functional state in response to changes in the environment. Altered neurotransmitter (NT) and neuromodulator (NM) signaling is central to the pathogenesis or treatment of many human neurological and psychiatric disorders, including Parkinson's disease, schizophrenia, depression, and addiction. To reveal the precise mechanisms by which these neurochemicals regulate healthy and diseased neural circuitry, one needs to measure their spatiotemporal dynamics in the living brain with great precision. Here, we discuss recent development, optimization, and applications of optical approaches to measure the spatial and temporal profiles of NT and NM release in the brain using genetically encoded sensors for in vivo studies.
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Affiliation(s)
- Bernardo L Sabatini
- Howard Hughes Medical Institute, Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
| | - Lin Tian
- Departments of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA, USA.
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44
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Doughty PT, Hossain I, Gong C, Ponder KA, Pati S, Arumugam PU, Murray TA. Novel microwire-based biosensor probe for simultaneous real-time measurement of glutamate and GABA dynamics in vitro and in vivo. Sci Rep 2020; 10:12777. [PMID: 32728074 PMCID: PMC7392771 DOI: 10.1038/s41598-020-69636-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 07/07/2020] [Indexed: 12/21/2022] Open
Abstract
Glutamate (GLU) and γ-aminobutyric acid (GABA) are the major excitatory (E) and inhibitory (I) neurotransmitters in the brain, respectively. Dysregulation of the E/I ratio is associated with numerous neurological disorders. Enzyme-based microelectrode array biosensors present the potential for improved biocompatibility, localized sample volumes, and much faster sampling rates over existing measurement methods. However, enzymes degrade over time. To overcome the time limitation of permanently implanted microbiosensors, we created a microwire-based biosensor that can be periodically inserted into a permanently implanted cannula. Biosensor coatings were based on our previously developed GLU and reagent-free GABA shank-type biosensor. In addition, the microwire biosensors were in the same geometric plane for the improved acquisition of signals in planar tissue including rodent brain slices, cultured cells, and brain regions with laminar structure. We measured real-time dynamics of GLU and GABA in rat hippocampal slices and observed a significant, nonlinear shift in the E/I ratio from excitatory to inhibitory dominance as electrical stimulation frequency increased from 10 to 140 Hz, suggesting that GABA release is a component of a homeostatic mechanism in the hippocampus to prevent excitotoxic damage. Additionally, we recorded from a freely moving rat over fourteen weeks, inserting fresh biosensors each time, thus demonstrating that the microwire biosensor overcomes the time limitation of permanently implanted biosensors and that the biosensors detect relevant changes in GLU and GABA levels that are consistent with various behaviors.
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Affiliation(s)
- P Timothy Doughty
- Center for Biomedical Engineering and Rehabilitation Sciences, Louisiana Tech University, Ruston, LA, USA
| | - Imran Hossain
- Institute for Micromanufacturing, Louisiana Tech University, Ruston, LA, USA
| | - Chenggong Gong
- Institute for Micromanufacturing, Louisiana Tech University, Ruston, LA, USA
| | - Kayla A Ponder
- Center for Biomedical Engineering and Rehabilitation Sciences, Louisiana Tech University, Ruston, LA, USA
| | - Sandipan Pati
- UAB Epilepsy Center/Department of Neurology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Prabhu U Arumugam
- Center for Biomedical Engineering and Rehabilitation Sciences, Louisiana Tech University, Ruston, LA, USA. .,Institute for Micromanufacturing, Louisiana Tech University, Ruston, LA, USA.
| | - Teresa A Murray
- Center for Biomedical Engineering and Rehabilitation Sciences, Louisiana Tech University, Ruston, LA, USA.
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45
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Liu J, Zhang W, Peng M, Ren G, Guan L, Li K, Lin Y. ZIF-67 as a Template Generating and Tuning "Raisin Pudding"-Type Nanozymes with Multiple Enzyme-like Activities: Toward Online Electrochemical Detection of 3,4-Dihydroxyphenylacetic Acid in Living Brains. ACS APPLIED MATERIALS & INTERFACES 2020; 12:29631-29640. [PMID: 32476405 DOI: 10.1021/acsami.0c05667] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Due to its unique structure and high porosity, metal-organic frameworks (MOFs) can act not only as nanozyme materials but also as carriers to encapsulate natural enzymes and thus have received extensive attention in recent years. However, a few research studies have been conducted to investigate MOF as a template to generate and tune nanozymes in the structure and performance. In this work, the "raisin pudding"-type ZIF-67/Cu0.76Co2.24O4 nanospheres (ZIF-67/Cu0.76Co2.24O4 NSs) were obtained by rationally regulating the weight ratio of ZIF-67 and Cu(NO3)2 in the synthesis process. Here, ZIF-67 not only acts as a template but also provides a cobalt source for the synthesis of cobalt copper oxide on the surface of ZIF-67/Cu0.76Co2.24O4 NSs with multiple enzyme-like activities. The ZIF-67/Cu0.76Co2.24O4 NSs can mimic four kinds of enzymes with peroxidase-like, glutathione peroxidase-like, superoxide dismutase-like, and laccase-like activities. Based on its laccase-like activity, an online electrochemical system for continuous monitoring of 3,4-dihydroxyphenylacetic acid with good linearity in the range of 0.5-20 μM and a detection limit of 0.15 μM was established. Furthermore, the alteration of DOPAC in the brain microdialysate before and after ischemia of the rats' brain was also successfully recorded. This work not only raises a new idea for the synthesis of nanozyme materials with multiple enzyme activities but also provides a new solution for the detection of neurotransmitters in living brains.
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Affiliation(s)
- Jia Liu
- Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Wang Zhang
- Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Meihong Peng
- Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Guoyuan Ren
- Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Lihao Guan
- Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Kai Li
- Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Yuqing Lin
- Department of Chemistry, Capital Normal University, Beijing 100048, China
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46
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Single-cell Metabolomics Analysis by Microfluidics and Mass Spectrometry: Recent New Advances. JOURNAL OF ANALYSIS AND TESTING 2020. [DOI: 10.1007/s41664-020-00138-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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47
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Chen P, Li S, Guo Y, Zeng X, Liu BF. A review on microfluidics manipulation of the extracellular chemical microenvironment and its emerging application to cell analysis. Anal Chim Acta 2020; 1125:94-113. [PMID: 32674786 DOI: 10.1016/j.aca.2020.05.065] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 05/22/2020] [Accepted: 05/26/2020] [Indexed: 12/22/2022]
Abstract
Spatiotemporal manipulation of extracellular chemical environments with simultaneous monitoring of cellular responses plays an essential role in exploring fundamental biological processes and expands our understanding of underlying mechanisms. Despite the rapid progress and promising successes in manipulation strategies, many challenges remain due to the small size of cells and the rapid diffusion of chemical molecules. Fortunately, emerging microfluidic technology has become a powerful approach for precisely controlling the extracellular chemical microenvironment, which benefits from its integration capacity, automation, and high-throughput capability, as well as its high resolution down to submicron. Here, we summarize recent advances in microfluidics manipulation of the extracellular chemical microenvironment, including the following aspects: i) Spatial manipulation of chemical microenvironments realized by convection flow-, diffusion-, and droplet-based microfluidics, and surface chemical modification; ii) Temporal manipulation of chemical microenvironments enabled by flow switching/shifting, moving/flowing cells across laminar flows, integrated microvalves/pumps, and droplet manipulation; iii) Spatiotemporal manipulation of chemical microenvironments implemented by a coupling strategy and open-space microfluidics; and iv) High-throughput manipulation of chemical microenvironments. Finally, we briefly present typical applications of the above-mentioned technical advances in cell-based analyses including cell migration, cell signaling, cell differentiation, multicellular analysis, and drug screening. We further discuss the future improvement of microfluidics manipulation of extracellular chemical microenvironments to fulfill the needs of biological and biomedical research and applications.
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Affiliation(s)
- Peng Chen
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Shunji Li
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yiran Guo
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xuemei Zeng
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
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48
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“Development and application of analytical detection techniques for droplet-based microfluidics”-A review. Anal Chim Acta 2020; 1113:66-84. [DOI: 10.1016/j.aca.2020.03.011] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 03/02/2020] [Accepted: 03/05/2020] [Indexed: 01/03/2023]
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49
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Sung C, Jeon W, Nam KS, Kim Y, Butt H, Park S. Multimaterial and multifunctional neural interfaces: from surface-type and implantable electrodes to fiber-based devices. J Mater Chem B 2020; 8:6624-6666. [DOI: 10.1039/d0tb00872a] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Development of neural interfaces from surface electrodes to fibers with various type, functionality, and materials.
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Affiliation(s)
- Changhoon Sung
- Department of Bio and Brain Engineering
- Korea Advanced Institute of Science and Technology (KAIST)
- Daejeon 34141
- Republic of Korea
| | - Woojin Jeon
- Department of Bio and Brain Engineering
- Korea Advanced Institute of Science and Technology (KAIST)
- Daejeon 34141
- Republic of Korea
| | - Kum Seok Nam
- School of Electrical Engineering
- Korea Advanced Institute of Science and Technology (KAIST)
- Daejeon 34141
- Republic of Korea
| | - Yeji Kim
- Department of Bio and Brain Engineering
- Korea Advanced Institute of Science and Technology (KAIST)
- Daejeon 34141
- Republic of Korea
| | - Haider Butt
- Department of Mechanical Engineering
- Khalifa University
- Abu Dhabi 127788
- United Arab Emirates
| | - Seongjun Park
- Department of Bio and Brain Engineering
- Korea Advanced Institute of Science and Technology (KAIST)
- Daejeon 34141
- Republic of Korea
- KAIST Institute for Health Science and Technology (KIHST)
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50
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Wang C, Wang M, Zhang W, Liu J, Lu M, Li K, Lin Y. Integrating Prussian Blue Analog-Based Nanozyme and Online Visible Light Absorption Approach for Continuous Hydrogen Sulfide Monitoring in Brains of Living Rats. Anal Chem 2019; 92:662-667. [PMID: 31834784 DOI: 10.1021/acs.analchem.9b04931] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The continuous detection of hydrogen sulfide (H2S) is significant for revealing its role in the neuron protection and diagnosis of various diseases. In this study, a Prussian blue analog nanocubes (PBA NCs)-based oxidase-like mimic was synthesized and designed for continuous H2S monitoring in a visible light absorption-based online optical detection platform (OODP). A specific chemical reaction between H2S and the PBA NCs induce a decreasing oxidase-like activity of the PBA NCs, generating lower amounts of oxidized products of 3,3'5,5'-tetramethylbenzidine (TMB) and increasing the light intensity. By coupling the microdialysis techniques with OODP, excellent linearity in the range of 0.1-20 μM H2S with a limit of detection of 33 nM and outstanding stability, reproducibility, and specificity in the response to H2S were exhibited. By using this OODP, near real-time response and continuous H2S measurements in the brains of living rats were successfully achieved. This new idea of integrating enzyme-like mimics with specific chemical reactions to form an online optical detection platform for continuous monitoring of neurochemical in the brain may be highly meaningful for thoroughly understanding the function of the brain.
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Affiliation(s)
- Chao Wang
- Department of Chemistry , Capital Normal University , 105 West Third Ring Road North , Haidian District, Beijing 100048 , China
| | - Manchao Wang
- Department of Chemistry , Capital Normal University , 105 West Third Ring Road North , Haidian District, Beijing 100048 , China
| | - Wang Zhang
- Department of Chemistry , Capital Normal University , 105 West Third Ring Road North , Haidian District, Beijing 100048 , China
| | - Jia Liu
- Department of Chemistry , Capital Normal University , 105 West Third Ring Road North , Haidian District, Beijing 100048 , China
| | - Mingju Lu
- Department of Chemistry , Capital Normal University , 105 West Third Ring Road North , Haidian District, Beijing 100048 , China
| | - Kai Li
- Department of Chemistry , Capital Normal University , 105 West Third Ring Road North , Haidian District, Beijing 100048 , China
| | - Yuqing Lin
- Department of Chemistry , Capital Normal University , 105 West Third Ring Road North , Haidian District, Beijing 100048 , China
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