Bacterial Acoustic Fingerprinting: Nanomotion and Spectral Feature Analysis Between Real and Synthetic Oscillations Using Deep Neural Networks

Subject Areas : Journal of Chemical Health Risks

Mawj Zabn ¹ , Ali Dawood ^{2 *}

1 - Tikrit University
2 - Departmet of Anatomy, College of Medicine, University of Mosul, Mosul, Iraq

Received: 2025-07-20 Accepted : 2025-08-26 Published : 2025-09-28

Keywords: Bacterial vibration, E. coli, Nanomotion, Original sound, Synthetic sound,

Abstract :

Background: Researchers are becoming interested in the use of bacterial acoustic vibrations to classify and diagnose microbes. In the past, biochemical analysis and microscopy were used in microbiology processed with Fast Fourier Transform and extracted using Mel-Frequency Cepstral Coefficients and finally classified by using Convolutional Neural Networks and Long Short-Term Memory networks. Synthetic sound samples for bacteria were made with GANs and confirmed by comparing their spectra. Results: It was observed that the vibrational patterns in live bacteria differed greatly from those of AI-generated sounds, with signals from real bacteria showing greater variety of frequencies and more variability. The artificial bacterial sounds captured the vibrations effectively apart from some discrepancies in the energy at low frequencies and the presence of harmonics. The accuracy of both models (>94%) demonstrates that sound-based identification of bacteria can be successful. Conclusions: This research points out that bacterial acoustic signatures can be used for fast and noninvasive diagnosis and continuous monitoring of bacteria.

References:

1. Garuba E.O., Ajunwa O.M., Ibrahim-King A.N., 2023. Evaluation of the effects of sound exposure and low field electromagnetism on growth and antibiotics susceptibility of some microorganisms. Bulletin of the National Research Centre. 45, 216.
2. Sarvaiya N., Kothari V., 2017. Audible sound in form of music can influence microbial growth, metabolism and antibiotic susceptibility. Journal of Applied Biotechnology & Bioengineering. 2(6), 212–219.
3. Lin F., Yuan S., Han W., 2021. Effective prevention of Escherichia coli biofilm on materials by nano-vibration. Colloids and Surfaces A: Physicochemical and Engineering Aspects. 608, 125610.
4. Kothari V., Joshi C., Patel P., Mehta M., Dubey S., Mishra B., Sarvaiya N., 2018. Influence of a mono-frequency sound on bacteria can be a function of the sound-level. Indian Journal of Science and Technology.
5. Garuba E.O., Obinna M.A., Olaifa K.W., Onilude A.A., 2020. Response Surface Methodology (RSM) and electromagnetic optimization of pigment production by Sporobolomyces sp. S5 and Rhodotorula sp. A21 in submerged fermentation. Journal of Bioscience and Biotechnology. 9(1), 17–25.
6. Maresca D., Lakshmanan A., Abedi M., Bar-Zion A., Farhadi A., Lu G.J., Szablowski J.O., Wu D., Yoo S., Shapiro M.G., 2018. Biomolecular Ultrasound and Sonogenetics. Annual Review of Chemical and Biomolecular Engineering. 9, 229–252.
7. Azadeh S.S., Lordifard P., Soheilifar M.H., Esmaeeli-Djavid G., Keshmiri-Neghab H., 2021. Ultrasound and Sonogenetics: A New Perspective for Controlling Cells with Sound. Iranian Journal of Pharmaceutical Research. 20(3), 151–160.

8. Dawood A., Altobje M., Alnori H., 2021. Compatibility of the Ligand Binding Sites in the Spike Glycoprotein of COVID-19 with those in the Aminopeptidase and the Caveolins 1, 2 Proteins. Research Journal of Pharmacy and Technology. 14(9), 4760–4766.
9. He T., Wang H., Wang T., Pang G., Zhang Y., Zhang C., Yu P., Chang J., 2021. Sonogenetic nanosystem activated mechanosensitive ion channel to induce cell apoptosis for cancer immunotherapy. Chemical Engineering Journal. 407, 127173.
10. Maresca D., Lakshmanan A., Abedi M., Bar-Zion A., Farhadi A., Lu G.J., Szablowski J.O., Wu D., Yoo S., Shapiro M.G., 2018. Biomolecular ultrasound and sonogenetics. Annual Review of Chemical and Biomolecular Engineering. 9, 229–252.
11. Dawood A., 2021. Identification of Cytotoxic T cell and B-cell epitopes in the Nucleocapsid Phosphoprotein of COVID-19 using Immunoinformatics. Microbiology Journal. 83(1), 78–86.
12. Rosłoń I.E., Japaridze A., Steeneken P.G., Dekker C., Alijani F., 2022. Probing nanomotion of single bacteria with graphene drums. Nature Nanotechnology. 17, 637–642.
13. Oppenheim A.V., Schafer R.W., 2009. Discrete-Time Signal Processing. Prentice Hall.
14. Oppenheim A.V., Willsky A.S., Nawab S.H., 1996. Signals and Systems. Prentice Hall. Jolliffe I.T., 2002. Principal Component Analysis. Springer.
15. Dietert R.R., Dietert J.M., 2024. Examining Sound, Light, and Vibrations as Tools to Manage Microbes and Support Holobionts, Ecosystems, and Technologies. Microorganisms. 12(5), 905.
16. Masjoudi M., Mohseni M., Bolton J.R., 2021. Sensitivity of Bacteria, Protozoa, Viruses, and Other Microorganisms to Ultraviolet Radiation. Journal of Research of the National Institute of Standards and Technology. 126, 126021.
17. Martirosyan V., Ayrapetyan S., 2015. Comparative study of time-dependent effects of 4 and 8 Hz mechanical vibration at infrasound frequency on E. coli K-12 cells proliferation. Electromagnetic Biology and Medicine. 34(4), 293–297.
18. Dawood A.A., 2024. A Method Utilizing an Image Visibility Graph to Portray the Arrangement of Genomic Data Sequencing, Gene Frequencies for The Peptidoglycan-Associated Lipoprotein (Pal) Gene in Brucella spp., and Prevalence of Brucellosis in Nineveh. Moderna Medicina. 31(2), 155–165.
19. Wassermann B., Korsten L., Berg G., 2021. Plant Health and Sound Vibration: Analyzing Implications of the Microbiome in Grape Wine Leaves. Pathogens. 10(1), 63.
20. Gil-Santos E., Ruz J.J., Malvar O., Favero I., Lemaître A., Kosaka P.M., et al., 2020. Optomechanical detection of vibration modes of a single bacterium. Nature Nanotechnology. 15(6), 469–474.
21. Kasas S., Ruggeri F.S., Benadiba C., Maillard C., Stupar P., Tournu H., et al., 2015. Detecting nanoscale vibrations as signature of life. Proceedings of the National Academy of Sciences of the United States of America. 112(2), 378–381.
22. Kundu S., Dani R., Makri N., 2022. Tight inner ring architecture and quantum motion of nuclei enable efficient energy transfer in bacterial light harvesting. Science Advances. 8(43), eadd0023.