An autonomous, highly portable NMR spectrometer based on a low-cost System-on-Chip (SoC).
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| Title: | An autonomous, highly portable NMR spectrometer based on a low-cost System-on-Chip (SoC). |
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| Authors: | Ariando, David1 dja62@case.edu, Chen, Cheng1 cxc717@case.edu, Greer, Mason1 mkg53@case.edu, Mandal, Soumyajit1 sxm833@case.edu |
| Source: | Journal of Magnetic Resonance. Feb2019, Vol. 299, p74-92. 19p. |
| Subjects: | NMR spectrometers, Systems on a chip testing, Field programmable gate arrays, Signal-to-noise ratio, Permanent magnets |
| Abstract: | Graphical abstract Highlights • A self-contained NMR spectrometer based on System-on-Chip. • Hardware tuning capabilities are implemented in the custom analog front-end. • NMR pulse sequence optimization using high-level programming on System-on-Chip. • Self-optimization for temperature compensation and automatic sample monitoring. Abstract This paper describes the development of a portable and self-optimizing NMR spectrometer based on a miniaturized custom analog front-end and a System-on-Chip (SoC)-based digital back-end. The SoC integrates a field-programmable gate array (FPGA) fabric with a hard processor running a Linux operating system, thus enabling fully-autonomous operation without the need for an external computer. In the proposed approach, data captured by the FPGA fabric during regular operation is transported to the hard processor using an integrated on-chip bus for further processing. The processed results are then used to automatically estimate parameter values that optimize a suitable cost function, such as signal-to-noise ratio (SNR) per unit time. Finally, the optimized values of both electrical and NMR-related tuning parameters (e.g., preamplifier gain and frequency response, pulse length and amplitude, operating frequency, etc.) are programmed back into the front-end and back-end hardware. Experimental NMR results from various samples in a ∼0.1 T permanent magnet are presented to verify the operation of the proposed spectrometer. These demonstrate on-board Laplace inversion and automated frequency tuning to compensate for temperature changes. Preliminary 14 N NQR results are also presented. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Magnetic Resonance is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 134573293 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An autonomous, highly portable NMR spectrometer based on a low-cost System-on-Chip (SoC). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ariando%2C+David%22">Ariando, David</searchLink><relatesTo>1</relatesTo><i> dja62@case.edu</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Cheng%22">Chen, Cheng</searchLink><relatesTo>1</relatesTo><i> cxc717@case.edu</i><br /><searchLink fieldCode="AR" term="%22Greer%2C+Mason%22">Greer, Mason</searchLink><relatesTo>1</relatesTo><i> mkg53@case.edu</i><br /><searchLink fieldCode="AR" term="%22Mandal%2C+Soumyajit%22">Mandal, Soumyajit</searchLink><relatesTo>1</relatesTo><i> sxm833@case.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Magnetic+Resonance%22">Journal of Magnetic Resonance</searchLink>. Feb2019, Vol. 299, p74-92. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22NMR+spectrometers%22">NMR spectrometers</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+on+a+chip+testing%22">Systems on a chip testing</searchLink><br /><searchLink fieldCode="DE" term="%22Field+programmable+gate+arrays%22">Field programmable gate arrays</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Permanent+magnets%22">Permanent magnets</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Graphical abstract Highlights • A self-contained NMR spectrometer based on System-on-Chip. • Hardware tuning capabilities are implemented in the custom analog front-end. • NMR pulse sequence optimization using high-level programming on System-on-Chip. • Self-optimization for temperature compensation and automatic sample monitoring. Abstract This paper describes the development of a portable and self-optimizing NMR spectrometer based on a miniaturized custom analog front-end and a System-on-Chip (SoC)-based digital back-end. The SoC integrates a field-programmable gate array (FPGA) fabric with a hard processor running a Linux operating system, thus enabling fully-autonomous operation without the need for an external computer. In the proposed approach, data captured by the FPGA fabric during regular operation is transported to the hard processor using an integrated on-chip bus for further processing. The processed results are then used to automatically estimate parameter values that optimize a suitable cost function, such as signal-to-noise ratio (SNR) per unit time. Finally, the optimized values of both electrical and NMR-related tuning parameters (e.g., preamplifier gain and frequency response, pulse length and amplitude, operating frequency, etc.) are programmed back into the front-end and back-end hardware. Experimental NMR results from various samples in a ∼0.1 T permanent magnet are presented to verify the operation of the proposed spectrometer. These demonstrate on-board Laplace inversion and automated frequency tuning to compensate for temperature changes. Preliminary 14 N NQR results are also presented. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Magnetic Resonance is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jmr.2018.12.007 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 74 Subjects: – SubjectFull: NMR spectrometers Type: general – SubjectFull: Systems on a chip testing Type: general – SubjectFull: Field programmable gate arrays Type: general – SubjectFull: Signal-to-noise ratio Type: general – SubjectFull: Permanent magnets Type: general Titles: – TitleFull: An autonomous, highly portable NMR spectrometer based on a low-cost System-on-Chip (SoC). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ariando, David – PersonEntity: Name: NameFull: Chen, Cheng – PersonEntity: Name: NameFull: Greer, Mason – PersonEntity: Name: NameFull: Mandal, Soumyajit IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 10907807 Numbering: – Type: volume Value: 299 Titles: – TitleFull: Journal of Magnetic Resonance Type: main |
| ResultId | 1 |
