Advances and challenges in neurochemical profiling of biological samples using mass spectrometry coupled with separation methods

Lee, Wonwoong; Park, Na Hyun; Lee, Yong Chan; Kim, Ki‐Hyun

doi:10.1016/j.trac.2018.07.006

Cited by 16 publications

(6 citation statements)

References 78 publications

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“…Current analytical methods in neuroscience comprise sampling techniques coupled with microfluidics or separation science methods, small sensors, and imaging tools. 30 Such measurements typically deploy chromatography coupled with mass spectrometry to detect small organic molecules, 31,32 while enzyme-linked immunosorbent assay (ELISA) is widely used for identifying large biomolecules such as protein markers linked to diseases of the brain and other organs. 33,34 However, these methods are time-intensive and may necessitate the derivatization of target markers to enhance detection sensitivity.…”

Section: Soluble Biomarkersmentioning

confidence: 99%

“…Current analytical methods in neuroscience comprise sampling techniques coupled with microfluidics or separation science methods, small sensors, and imaging tools . Such measurements typically deploy chromatography coupled with mass spectrometry to detect small organic molecules, , while enzyme-linked immunosorbent assay (ELISA) is widely used for identifying large biomolecules such as protein markers linked to diseases of the brain and other organs. , However, these methods are time-intensive and may necessitate the derivatization of target markers to enhance detection sensitivity. This may not be an issue when conducting patient screenings in centralized laboratories, but rapid point-of-care (POC) or in situ analysis presents challenges that sensors, including SERS, can address. , As such, multiple sensing technologies have been proposed to detect cellular stress biomarkers and neurochemicals in various biofluids such as blood, sweat, saliva, and urine (Figure A).…”

Section: State-of-the-art and Gaps In Neuroscience Technologiesmentioning

confidence: 99%

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Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience

Boudries,

Williams,

Paquereau--Gaboreau

et al. 2024

ACS Nano

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Monitoring neurochemicals and imaging the molecular content of brain tissues in vitro, ex vivo, and in vivo is essential for enhancing our understanding of neurochemistry and the causes of brain disorders. This review explores the potential applications of surface-enhanced Raman scattering (SERS) nanosensors in neurosciences, where their adoption could lead to significant progress in the field. These applications encompass detecting neurotransmitters or brain disorders biomarkers in biofluids with SERS nanosensors, and imaging normal and pathological brain tissues with SERS labeling. Specific studies highlighting in vitro, ex vivo, and in vivo analysis of brain disorders using fit-for-purpose SERS nanosensors will be detailed, with an emphasis on the ability of SERS to detect clinically pertinent levels of neurochemicals. Recent advancements in designing SERS-active nanomaterials, improving experimentation in biofluids, and increasing the usage of machine learning for interpreting SERS spectra will also be discussed. Furthermore, we will address the tagging of tissues presenting pathologies with nanoparticles for SERS imaging, a burgeoning domain of neuroscience that has been demonstrated to be effective in guiding tumor removal during brain surgery. The review also explores future research applications for SERS nanosensors in neuroscience, including monitoring neurochemistry in vivo with greater penetration using surface-enhanced spatially offset Raman scattering (SESORS), near-infrared lasers, and 2-photon techniques. The article concludes by discussing the potential of SERS for investigating the effectiveness of therapies for brain disorders and for integrating conventional neurochemistry techniques with SERS sensing.

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Section: Soluble Biomarkersmentioning

confidence: 99%

Section: State-of-the-art and Gaps In Neuroscience Technologiesmentioning

confidence: 99%

Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience

Boudries,

Williams,

Paquereau--Gaboreau

et al. 2024

ACS Nano

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“…Of the results, we reviewed and organized research papers related to analytical methods for profiling neurotransmitters in biological samples. Research on analytical methods to determine neurotransmitters in biological samples published before 2018 was well organized in a previous report (Lee et al 2018). In particular, we describe recent analytical advances and attempt to provide insights to help discover biomarkers for neurological diseases.…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Analytical Approaches to Determine Neurotransmitters in Biological Samples

Cho,

Park,

Gong

et al. 2024

DTT

Self Cite

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Neurotransmitters play an important role in the human body, as regulators and messengers in cellular function, body regulation, and homeostasis, operating through the nervous system and organs. As neurotransmitters can directly affect the central nervous system, including the brain, they are thought to be directly and/or indirectly related to various neurological disorders. Therefore, to understand the pathophysiological mechanisms underlying neurological disorders, analytical methods are required for detecting neurotransmitters in biological samples. Although numerous sample preparation techniques have been introduced for neurotransmitter profiling, advanced microextraction techniques are characterized by simple and easy operation, consuming less of harmful organic solvents and wasting fewer biological samples. Chromatography and mass spectrometry are indispensable for neurotransmitter profiling. Chromatography can separate various neurotransmitters from matrix interference in complicated biological samples. Mass spectrometry combined with chromatographic separation enables sensitive and selective determination of trace levels of neurotransmitters. Furthermore, several trials have been conducted to identify neurotransmitters as potential biomarkers for neurological diseases. In this study, we review and organize recently reported articles to help readers develop analytical methods for profiling neurotransmitters and describe applications to biological samples, to provide insights into the mechanisms of neurological diseases.

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“…ACh levels in neurological disorders can be determined by using a variety of procedures, together with an improved Elman colorimetric test for cholinesterase activity estimation [ 3 ], capillary electrophoresis, capillary zone electrophoresis, ion-sensitive field effect transistors (ISFETs), high-performance liquid chromatography (HPLC) [ 4 , 5 ], mass spectrometry [ 6 ], hydrophilic interaction chromatography [ 7 ], etc. However, the majority of these methods are complex, costly and time-consuming, with less sensitivity and selectivity.…”

Section: Introductionmentioning

confidence: 99%

An Amperometric Acetylcholine Biosensor Based on Co-Immobilization of Enzyme Nanoparticles onto Nanocomposite

2023

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An electrochemical biosensor was fabricated using nanoparticles of acetylcholinesterase (AChE) and choline oxidase (ChO)/Pt nanoparticles (PtNPs)/porous graphene oxide nanosheet (GONS) composite. A pencil graphite electrode (PGE) was used for the electrodeposition of nanocomposite and the determination of acetylcholine (ACh), a neurotransmitter. Various techniques such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), Fourier-transform infrared (FTIR) spectra and cyclic voltammetry (CV) were used for characterization. This biosensor (AChENPs-ChONPs/GONS/PtNPs/PGE) indicated a very short response time (3 s), a lower limit of detection (0.001 µM), good linearity (0.001–200 µM), longer storage stability (6 months) and better reproducibility. The percent analytical recoveries of added acetylcholine in serum (5.0 and 10 µM) were found to be 97.6 ± 0.7 and 96.5 ± 0.3 for the present biosensor. The coefficients of variation were obtained to be 8% and 3.25%, correspondingly. The biosensor was applied to measure the ACh amount in the serum of healthy individuals and patients with Alzheimer’s disease. The number of interferents had no effect on the biosensor at their physiological concentrations.

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Advances and challenges in neurochemical profiling of biological samples using mass spectrometry coupled with separation methods

Cited by 16 publications

References 78 publications

Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience

Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience

Recent Advances in Analytical Approaches to Determine Neurotransmitters in Biological Samples

An Amperometric Acetylcholine Biosensor Based on Co-Immobilization of Enzyme Nanoparticles onto Nanocomposite

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