Journal of Radio Electronics. eISSN 1684-1719. 2024. ¹2

Contents

Full text in Russian (pdf)

Russian page

 

DOI: https://doi.org/10.30898/1684-1719.2024.2.7

 

UTILIZING SOFTWARE-DEFINED RADIO
FOR STRUCTURAL ANALYSIS OF ENERGY-INTENSIVE
SUBSTANCES USING NUCLEAR MAGNETIC RESONANCE

 

V.V. Kiyashchenko, A.A. Akopyan, S.YU. Ganigin, E.S. Zhuravleva

 

Samara State Technical University
443001, Russia, Samara, Molodogvardeiskaya str., 244

 

 

The paper was received November 30, 2023.

 

Abstract. This article discusses the creation of a system using software-defined radio for the study of energy-intensive substances using nuclear magnetic resonance. Software-defined radio (SDR) uses technology that allows to configure or change the parameters of radio frequency operation through software, such as frequency range, modulation type and output power. The article presents the structure of the system and provides a detailed analysis of several key components. The proposed approach involves the use of a SDR transmitter-receiver, which is a universal device capable of both transmitting and receiving signals. The article describes the stages of signal processing and suggests potential directions for the development of the system in the future. By using the SDR architecture and software interface, the system achieves a close location between sampling, digital-to-analog and analog-to-digital conversions, minimizing noise and distortion created by the analog part of the spectrometer. The SDR allows the use of quadrature modulation and demodulation, digital filtering and amplification, as well as software adjustment of filter characteristics. The article highlights the problems associated with the development of such NMR systems. The advantages of the system include enhanced capabilities for the development of new spectroscopic methods, compact dimensions for easy portability and cost-effectiveness compared to commercial spectrometers.

Key words: software-defined radio, nuclear magnetic resonance, structural analysis, energy-intensive substances.

Financing: The research was carried out with the financial support of the Ministry of Science and Higher Education of the Russian Federation within the framework of the state task (theme no. AAAAA12-2110800012-0).

Corresponding author: Kiyashchenko Victoria Vitalievna, vv.kiyashchenko@gmail.com

 

References

1. Bryden N. et al. An open-source, low-cost NMR spectrometer operating in the mT field regime //Journal of Magnetic Resonance. – 2021. – Ò. 332. – Ñ. 107076.

2. Michal C. A. Low-cost low-field NMR and MRI: Instrumentation and applications //Journal of Magnetic Resonance. – 2020. – Ò. 319. – Ñ. 106800.

3. Louis-Joseph A., Lesot P. Designing and building a low-cost portable FT-NMR spectrometer in 2019: A modern challenge //Comptes Rendus Chimie. – 2019. – Ò. 22. – ¹. 9-10. – Ñ. 695-711.

4. Albannay M. M. et al. Compact, low-cost NMR spectrometer and probe for dissolution DNP //Journal of Magnetic Resonance. – 2019. – Ò. 304. – Ñ. 7-15.

5. Zhang Z. et al. THz-enhanced dynamic nuclear polarized liquid spectrometer //Journal of Magnetic Resonance. – 2021. – Ò. 330. – Ñ. 107044.

6. Galvan D. et al. Compact low-field NMR spectroscopy and chemometrics applied to the analysis of edible oils //Food Chemistry. – 2021. – Ò. 365. – Ñ. 130476.

7. Duchowny A. et al. Composition analysis of natural gas by combined benchtop NMR spectroscopy and mechanistical multivariate regression //Energy Reports. – 2022. – Ò. 8. – Ñ. 3661-3670.

8. Castaing-Cordier T. et al. High-field and benchtop NMR spectroscopy for the characterization of new psychoactive substances //Forensic Science International. – 2021. – Ò. 321. – Ñ. 110718.

9. Edgar M. et al. Low-field benchtop NMR spectroscopy as a potential non-stationary tool for point-of-care urinary metabolite tracking in diabetic conditions //Diabetes Research and Clinical Practice. – 2021. – Ò. 171. – Ñ. 108554.

10. Lee Y. et al. Quantification of mixtures of analogues of illicit substances by benchtop NMR spectroscopy //Journal of Magnetic Resonance. – 2022. – Ò. 335. – Ñ. 107138.

11. Matviychuk Y. et al. Quantitative analysis of wine and other fermented beverages with benchtop NMR //Analytica Chimica Acta. – 2021. – Ò. 1182. – Ñ. 338944.

12. Bouillaud D. et al. Using benchtop NMR spectroscopy as an online non-invasive in vivo lipid sensor for microalgae cultivated in photobioreactors //Process Biochemistry. – 2020. – Ò. 93. – Ñ. 63-68.

13. Duchowny A. et al. Versatile high-pressure gas apparatus for benchtop NMR: Design and selected applications //Journal of magnetic resonance. – 2021. – Ò. 329. – Ñ. 107025.

14. Cheng F. et al. A 2.0-GHz compact ESR spectrometer for monitoring automobile lubrication oil degradation //Journal of Magnetic Resonance. – 2021. – Ò. 332. – Ñ. 107081.

15. Sørensen M. K. et al. Quantification of protein and phosphorus in livestock feed using mobile NMR sensor technology //Biosystems Engineering. – 2022. – Ò. 216. – Ñ. 93-97.

16. Al-Shawabka A. et al. Massive-scale I/Q datasets for WiFi radio fingerprinting //Computer Networks. – 2020. – Ò. 182. – Ñ. 107566.

17. Aswathi M., Gandhiraj R., Soman K. P. Application and analysis of smart meter data along with RTL SDR and GNU radio //Procedia Technology. – 2015. – Ò. 21. – Ñ. 317-325.

18. Toldbo C. et al. Deployment method and optimal placement of surface beacon navigation system for co-located lunar landings //Acta Astronautica. – 2022. – Ò. 193. – Ñ. 432-443.

19. Marquet A., Montavont N., Papadopoulos G. Z. Towards an SDR implementation of LoRa: Reverse-engineering, demodulation strategies and assessment over Rayleigh channel //Computer Communications. – 2020. – Ò. 153. – Ñ. 595-605.

20. Michal C. A. A low‐cost multi‐channel software‐defined radio‐based NMR spectrometer and ultra‐affordable digital pulse programmer //Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering. – 2018. – Ò. 48. – ¹. 3. – Ñ. e21401.

For citation:

Kiyashchenko V.V., Akopyan A.A., Ganigin S.YU., Zhuravleva E.S. Utilizing software-defined radio for structural analysis of energy-intensive substances using nuclear magnetic resonance. // Journal of Radio Electronics. – 2024. – ¹. 2. https://doi.org/10.30898/1684-1719.2024.2.7 (In Russian).