A Review of Prior Research and Experimental Design — ONTSUBU™ Research Paper 2026
“Day and night, high tide and low, breath, heartbeat—
all of nature fluctuates.
Is that rhythm present in a factory fermentation room?”
The same process is used everywhere, yet the results differ by location. Even after adjusting formulations site by site and tracking data continuously, things somehow refuse to stabilize—a problem common to everyone working in fermentation.
There are several causes of unstable fermentation: fluctuations in temperature and humidity, variability in raw-material composition, differences in the initial microbial community, uneven oxygen supply. These can be managed. And yet,even when all of these are aligned, it can still fail to stabilize.
There may be an overlooked variable. That variable is the “rhythmic environment.”
It is sometimes said that childbirth goes more smoothly at home than in a hospital. The smells, light, and sounds of an unfamiliar place stress the living body.Microbes may be the same. Cut off from their native environment, they may not perform to their full potential.
Microbes have evolved within nature for hundreds of millions of years. And that nature always had rhythm.
Visualizing rhythmIn the soil, in the forest, along a river—the places microbes originally inhabited carry organic fluctuations of sound, light, temperature, and vibration. Day and night, wind, rain, the calls of living creatures. Nothing is constant, yet nothing is fully random either.“rhythm with moderate complexity”—that is where microbes lived.
An environment of managed uniformity in temperature, humidity, and light. It looks “stable,” but from the microbe’s point of view it is “entirely unlike the environment it adapted to over hundreds of millions of years.” A space without rhythm may be an alien place to a microbe.
It may be necessary to re-examine the premise that “management brings stability.”Perhaps “stability” for a microbe lies not in a uniform environment but within nature’s rhythm. This is ONTSUBU’s question.
The hypothesis that “sound acts on fermentation microbes” is more than intuition. Multiple peer-reviewed studies scientifically demonstrate its plausibility.
Living systems—including fermentation microbes—are nonlinear systems that exhibit stochastic resonance. SNR is maximized at an optimal noise intensity D*. Neither fully regular (G2) nor fully random (G1), it is structured complexity (G3 · ONTSUBU™ designed sound) that may elicit the strongest biological response.
Wiesenfeld & Moss (Nature, 1995) showed that in nonlinear systems, “noise of moderate complexity” can paradoxically enhance the detection of weak signals. This phenomenon is called “stochastic resonance,” and is observed across every living system—from the brain to sensory organs to individual cells. Fermentation microbes are likewise nonlinear systems, and their metabolic activity may be lifted by an optimal acoustic environment.
Lemmens et al. (Frontiers in Microbiology, 2021), exposing brewing yeast (S. cerevisiae) to audible-range sound (0.1 kHz, 10 kHz, 90 dB) for 50 hours, confirmed that growth rate, biomass yield, and the profile of volatile metabolites changed significantly. They further found that the yeast itself emits subtle vibrations of 0.9–1.6 kHz, suggesting these may influence neighboring cells.Living things emit sound and respond to sound.
Mustapha et al. (Wiley, 2024) confirmed in a review that multi-frequency sound acts on a broader range of bacterial structures than a single frequency, producing a synergistic effect. ONTSUBU™ designed sound is an ensemble of multiple solfeggio frequencies, and this finding supports the superiority of ONTSUBU™’s design principle.
Ma et al. (Wiley, 2023) showed that acoustic treatment activates food proteases and carbohydrate-degrading enzymes. In fermentation, enzyme activity is directly tied to quality.By tuning the acoustic environment, improved and more stable fermentation quality can be expected.
What prior research shows is not merely the possibility that “sound acts on microbes,” but the finding that “which sound is used decides the outcome.” To this question, ONTSUBU™’s proprietary theory offers one hypothetical answer.
The acoustic theory developed independently by ONTSUBU LLC is a method for engineering the organic acoustic patterns of nature.
Sounds in nature are neither fully regular nor fully random. They have intervals; they have fluctuation. ONTSUBU™ formalizes this “structure of natural sound” as a design principle and recreates it as an acoustic space—an attempt to deliver their native rhythmic environment to microbes otherwise placed in factory silence under fluorescent light.
Sounds in nature are not perfectly even-spaced. Wind, rain, the calls of living creatures—all carry “fluctuation.” ONTSUBU™ deliberately designs this temporal fluctuation. Neither perfectly even-spaced (mechanical) nor fully random (noise), it carries a complexity that living systems can “read as signal”.
Nature’s rhythm contains “Ma.” The stillness as a wave recedes, the quiet of night, the moment breath pauses. ONTSUBU™ defines this “space between sounds” as a designable dimension and shapes it polyrhythmically across multiple periods.Living rhythm does not reside in continuous sound—this is a physiological fact.
What ONTSUBU™ designed sound attempts to recreate is not “music” but “a structure close to the rhythmic environment living systems have encountered in nature.” Design details are disclosed after a business-partnership agreement.
Whether a rhythmic environment changes fermentation—this hypothesis is tested with engineering rigor.
Central hypothesisONTSUBU™ designed sound lifts the metabolic activity of fermentation microbes in general via stochastic resonance, and regardless of differences in microbial community or location,stabilizes fermentation speed and final quality.。
Current standard condition (control)
Fully random, no rhythm
Fixed 432 Hz, even-spaced, no rhythm
Recreates nature’s rhythmic environment
Jitter × Ma × multi-frequency
96 kHz hi-res
Installation method: A vibration speaker (exciter) is attached to the outer wall of the fermentation unit. No modification of the equipment is required, enabling non-invasive deployment on existing facilities.
Measurement metricsMeasurement metrics
| Metric | What it measures | Frequency |
|---|---|---|
| Rate and stability of pH change | Speed of fermentation and inter-group variability | Daily |
| Temperature-change pattern | Temperature rises as fermentation activates | Continuous logger |
| CO₂ production | The most direct indicator of fermentation | Continuous sensor |
| Total nitrogen content of the final fertilizer (external lab) | Direct evidence of fermentation quality | At completion |
| Inter-site data variability (standard deviation) | Demonstrates resolution of the “location-difference” problem | Multi-site comparison |
Decision criteria (pre-defined)
| Metric | Success threshold | Priority | Meaning |
|---|---|---|---|
| Days to completion | G3 ≤ G0 −10% Fermentation completes faster | Primary ★★★ | Higher throughput, lower cost |
| Height of temperature peak | G3 ≥ G0 +2℃ | Primary ★★★ | Direct indicator of lifted fermentation activity |
| Inter-site variability | Std. dev. of G3 < G0 | Primary ★★★ | Demonstrates resolution of the “location-difference” problem |
| Total nitrogen of final fertilizer | G3 ≥ G0 +10% | Secondary ★★ | Direct evidence of improved fertilizer quality |
| CO₂ production | G3 ≥ G0 +15% | Secondary ★★ | Quantitative evidence of fermentation activity |
If G3 superiority is confirmed on any one primary metric, Phase 1 is deemed a success.If the narrowing of “location differences” can be proven, it becomes the core value proof for a proposal to nationally operating fermentation businesses.
Experimental phases
Compare G0–G3 on a single fermentation unit. Confirm differences across three metrics: pH, temperature, and CO₂.
Test whether the lift effect reproduces despite differences in location and microbial community. Proving a reduction in standard deviation is the heart of the proposal.
Toward business partnerships and licensing as an “acoustic fermentation system” deployable nationwide.
The economic value of stable fermentation is estimated from three angles.
If days to completion shrink by 10%, the same equipment processes more per year. As an improvement in capital efficiency, this translates directly into financial impact—the most immediate improvement achievable without capital investment.
Higher total-nitrogen content allows differentiation as a high-value organic fertilizer. Amid rising chemical-fertilizer prices, demand for “consistent-quality organic fertilizer” is surging.
Making the acoustic environment uniform absorbs fermentation variability caused by differences in location and climate, reducing the cost and labor of site-by-site formulation adjustment.
Against the backdrop of the situation in Ukraine and rising energy prices, chemical-fertilizer prices remain elevated. Meanwhile, demand for domestic organic fertilizer made from food residue is surging. Expectations are high for producers who can supply organic fertilizer of consistent quality.
A simple configuration envisioned as merely attaching a vibration speaker to an existing fermentation unit. No equipment modification is required, enabling non-invasive deployment on existing facilities. It is proposed as a low-barrier fermentation-improvement approach, with scale-out to fermentation sites nationwide in view.
CONCLUSION
This study examines the potential to stabilize microbial activity in fermentation processes through the design of acoustic vibration patterns.
Against the structural challenge of the fermentation business—that “microbial activity changes by location”—prior research has suggested that acoustic stimulation may affect microbial metabolism. Yet the question of which acoustic pattern produces which effect has not been sufficiently examined.
Building on ONTSUBU™’s proprietary acoustic theory, this study advances the validation of design principles that contribute to stabilizing fermentation-microbe activity. Its findings aim to contribute to a new research domain bearing on foundational technology for agricultural infrastructure—reducing dependence on chemical fertilizer and standardizing the quality of organic fertilizer.
Referenced Prior Research