Whitepaper 2026
Sound × Food × Life

The Potential Effects of Acoustic Vibration Patterns on Food Freshness and Umami

A Review of Prior Research and Experimental Design — ONTSUBU™ Research Paper 2026

“Subtle vibrational fluctuation is a signal to living processes.”

ONTSUBU LLC · Ikuyi Minat · 2026 · Confidential
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01 Introduction
01 · Introduction

Where music and engineering meet:a question of rhythm and vibration.

What separates sound that moves people from sound that does not is not determined by technique or volume alone—it lies in the pattern of vibration. Starting from this question, ONTSUBU LLC has spent seven years combining music and engineering to build a proprietary acoustic theory.

This theoretical framework has grown into a question that reaches beyond music.“Might a deliberately designed vibration pattern also act upon food—a living process?” This study examines that hypothesis on the basis of prior research.

Sound is vibration, and vibration acts upon matter.So what does a correctly designed vibration do to the cells of food? This is not a philosophical question but an engineering one.

This whitepaper discusses the potential of ONTSUBU™’s proprietary acoustic theory to preserve food freshness and enhance umami, across three layers: prior research, theory, and experimental design. It is intended as a starting point for a new research domain at the intersection of sound and food.

02 Theoretical Background
02 · Theoretical Background

A review of existing acoustic experiments and theory.

The hypothesis that “sound acts upon food” is not unfounded intuition. Multiple peer-reviewed studies scientifically demonstrate its plausibility.

Figure 1 — SNR Curve of Stochastic Resonance
Noise intensity D → SNR Optimal noise D* G2 Sine wave G3 ONTSUBU™ designed sound Closest to optimal noise G1 White noise
SNR curve (stochastic resonance)
G3 ONTSUBU™ designed sound (near optimum)
G2 Sine wave (noise intensity ≈ 0)
G1 White noise (excess noise)

SNR behaves non-monotonically with respect to noise intensity D and is maximized at the optimum D*. Neither fully random (G1) nor fully regular (G2), it is structured complexity (G3) that approximates optimal noise and maximizes the SNR of living systems.

1
Stochastic Resonance — Living systems use noise as information

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 kind of living system—from the brain to sensory organs to individual cells. Living systems possess an innate ability to read complex vibration as information.

2
Audible sound alters microbial behavior — a peer-reviewed fact

Gu et al. (PeerJ, 2016) found that E. coli exposed to audible-range sound (8,000 Hz, 80 dB) showed, compared with a silent control,up to 1.7× maximum biomass and 2.5× growth rate. Lemmens et al. (2021) reported that brewing yeast alters its metabolite profile in response to sound, and that yeast cells themselves emit subtle vibrations that influence neighboring cells.

3
Multi-frequency sound is more effective than a single frequency

Mustapha et al. (Wiley, 2024) confirmed in a review that multi-frequency ultrasound acts on a broader range of bacterial structures than a single frequency, producing a synergistic microbial-inactivation effect. Which sound is used determines the effect.

4
Sound waves alter water transport in plant and food cells

Lee et al. (RSC Advances, 2018) confirmed that surface acoustic waves (SAW) enhance plant transpiration and water transport in a frequency-dependent manner. A PLOS ONE (2024) study showed that sound waves promote phosphorylation of aquaporins (water-channel proteins) and increase water uptake into cells.

5
Acoustic treatment changes enzyme activity

A comprehensive review by Ma et al. (Wiley, 2023) showed that ultrasound activates food proteases and carbohydrate-degrading enzymes. Acoustic-treatment effects on polyphenol oxidase (PPO)—the enzyme responsible for browning in vegetables and fruit—have also been confirmed, making it a potential direct means of maintaining appearance scores (freshness).

6
Acoustic technology is recognized as an emerging food-preservation technology

A comprehensive review in MDPI Foods (2025) showed that acoustic technology achieves suppression of microbial growth, delayed spoilage, and reduced food waste, confirmed across dairy, meat, and vegetables, and is drawing strong interest from the food industry as a non-thermal, non-chemical preservation technology.

What prior research shows is not merely the possibility that “sound acts on food,” but the finding that “which sound is used decides the outcome.” To this question, ONTSUBU™’s proprietary theory offers one hypothetical answer.

02-B Theoretical Background (Extended)
02-B · Theoretical Background (Extended)

Three physical pathways:how sound reaches food.

In addition to stochastic resonance, microbial behavior, and multi-frequency effects, three further physical mechanisms may support this hypothesis. Each is suggested as an independent pathway, and they may also act in combination.

A
Sound waves alter water transport in plant and food cells

Lee et al. (RSC Advances, 2018) experimentally confirmed that surface acoustic waves (SAW) enhance plant transpiration and water transport in a frequency-dependent manner. A 15 MHz SAW produced the greatest water-transport enhancement, making clear that frequency design governs the outcome.

A further PLOS ONE (2024) study showed that, in plant cells, sound waves promote phosphorylation of aquaporins (water-channel proteins) and increase water uptake into cells. Sound waves trigger calcium-ion (Ca²⁺) influx through mechanosensitive channels in the cell membrane, which activates downstream signal transduction.

Connection to food: In maintaining the freshness of post-harvest vegetables and fruit, a cell’s capacity to retain water is decisive. If ONTSUBU™ designed sound acts on cellular water-transport mechanisms, wilting and weight loss may be suppressed.

B
Acoustic radiation pressure in liquids — the force that moves molecules and particles

Acoustic radiation force is the time-averaged nonlinear force that sound waves exert on particles and molecules in a liquid. According to Chemical Reviews (ACS, 2022),acoustic radiation force acts on biological cells in the 1 pN–10 nN range, concentrating them at pressure nodes, as has been confirmed.

Acoustic cavitation—the phenomenon in which sound waves create and collapse bubbles in a liquid—generates localized high temperature and pressure on collapse, changing the permeability of cell walls and membranes. Through this,suppression of microbial growth and enhanced mass transfer within food cells occur simultaneously.

Connection to food: The distribution of water molecules and nutrients within food cells can change under acoustic radiation force. As the intra/extracellular transport patterns of umami compounds (glutamate, amino acids) shift, the taste and freshness profile may be affected.

C
Acoustic treatment changes enzyme activity

Enzymes are protein complexes involved in both the freshness and umami of food and in its deterioration. A comprehensive review by Ma et al. (Wiley Comprehensive Reviews, 2023) showed that ultrasound activates food proteases, carbohydrate-degrading enzymes, and lipases. The mechanisms are the action of acoustic cavitation on the secondary and tertiary structure of enzymes, and the acceleration of mass transfer through microstreaming.

What matters is the condition-dependent bidirectionality: low-intensity ultrasound activates enzymes, while high intensity inactivates them. Acoustic-treatment effects on polyphenol oxidase (PPO) and peroxidase (POD)—enzymes involved in the browning of vegetables and fruit—have also been confirmed.

Connection to food: Discoloration (browning) in vegetables and fruit is a visual indicator of declining freshness and depends on PPO/POD activity. If ONTSUBU™ designed sound can regulate these enzyme activities at an appropriate intensity,maintaining appearance scores = a direct means of preserving freshness.

The three physical pathways (water transport, acoustic radiation force, enzyme activity) are each independent mechanisms, yet all support the same hypothesis—that ONTSUBU™ designed sound acts on food—from different angles. When they are triggered in combination, a synergistic effect may emerge that no single mechanism can explain.

03 ONS Method
03 · ONTSUBU™ Theory

ONTSUBU™ proprietary theory:the design principles of vibration.

The acoustic theory developed independently by ONTSUBU LLC is an engineering definition of the principles that generate “groove” in music. Its core is to reconceive sound not as a “wave” but as a “grain.”

A comparison of paradigms
Conventional music theory
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Described as a continuous wave
“Silence = absence”
ONS Sound-Grain Theory
◯  ●  ●  ◯  ●  ●  ◯
Described as discrete energy bodies
“The gap = designed Ma (interval)”
Figure 2 — Waveform Comparison of Jitter and Ma (G2 vs G1 vs G3)
G2 G1 G3 Even spacing Random Ma (interval) Jitter Designed
G2 Sine wave (perfectly even spacing, single frequency)
G1 White noise (no structure)
G3 ONTSUBU™ designed sound (jitter × Ma × multi-frequency)

G2 (sine wave) is perfectly even-spaced with zero living complexity. G1 (white noise) has no structure. G3 (ONTSUBU™ designed sound) possesses a “readable complexity” in which jitter (temporal fluctuation of note onsets) and Ma (interval) are deliberately designed.

The two design parameters that ONS defines generate musical groove and, at the same time, form the core of the mechanism by which sound acts on food.

Design parameter 1
Jitter (Temporal Jitter)

In digital signal processing, jitter is defined as “error to be removed.” ONS fundamentally redefines it. Living systems fully adapt to perfectly even-spaced sound and lose responsiveness. Deliberately designed temporal fluctuation engages the body’s predictive system, triggering a living response—tension, landing, release. This is the principle of groove and, simultaneously, the condition for the “optimal noise” of stochastic resonance.

Design parameter 2
Ma (interval)

The “Ma” between sounds is treated as a designable space. Living rhythm is defined not by the sounds themselves but by the quality of the space that follows them—designing this across multiple periods is the core of ONS.

ONTSUBU™ designed sound is thought to carry the properties of a living vibration pattern beyond its musical context. Jitter and Ma may give it a structure that living systems find “easy to read as signal.”

04 Connection Theory
04 · Connection Theory

The Oto-field and its connection to stochastic resonance.

We hypothesize that ONTSUBU™ designed sound generates, in space, a structured vibration field we call the “Oto-field.” The possibility that this field induces stochastic resonance in the nonlinear systems of food cells and microbes is ONTSUBU™’s central hypothesis.

Figure 3 — Causal Chain from Oto-field to Stochastic Resonance
ONTSUBU™ designed sound Jitter × Ma Step 1 IR triggered Reverberations overlap A “breathing” vibration field Step 2 Oto-field Structured complex vibration field Step 3 Stochastic resonance SNR maximized Pathway A: Suppression of spoilage-microbe growth → Freshness +2 days Pathway B: Enzyme / metabolic change → Enhanced umami compounds

ONTSUBU™ designed sound generates the Oto-field through overlapping impulse responses and functions as the optimal noise for stochastic resonance, acting on food via two pathways: spoilage suppression (Pathway A) and umami change (Pathway B).

Step 1: ONTSUBU™ designed sound → generation of the Oto-field

Each time a sound-grain is released, the space’s impulse response is triggered, and its decay curve forms the “context” for the next grain. Jitter (temporal fluctuation) causes multiple responses to overlap, and Ma (interval) gives the field its “breath.” The result is not a simple sound-pressure distribution but a temporally and spatially structured complex vibration field—the “Oto-field”.

Step 2: Oto-field → onset of stochastic resonance

According to stochastic-resonance theory, the noise that maximizes SNR in a nonlinear system is neither “fully random” nor “fully regular,” but “complexity with moderate structure.” White noise is too complex and destroys information. A simple sine wave is too regular to resonate. The Oto-field created by ONS’s jitter × Ma is closest to this “optimal noise” condition.

Step 3: Stochastic resonance → concrete action on food

When stochastic resonance is triggered in the nonlinear systems of food cells and spoilage microbes, we hypothesize that measurable changes emerge via two pathways.Pathway A: ion channels in the spoilage-microbe membrane respond and the growth cycle changes → the onset of spoilage is delayed. Pathway B: enzyme activity and metabolic pathways in food cells change → the amino-acid and umami-compound profile shifts.

The decisive difference from “sound in general”
G1 (noise) ≠ G2 (sine wave) ≠ G3 (ONTSUBU™ designed sound)
G1
White noise: fully random, no structure. Too complex to induce stochastic resonance.
G2
Simple sine wave: fully regular. No jitter, no Ma. Zero living complexity. Does not resonate.
G3
ONTSUBU™ designed sound: jitter × Ma × multi-frequency ensemble. Structured complexity. Closest to optimal noise.
05 Experimental Design
05 · Experimental Design

Testing the effect of vibration patterns on food — experimental design and measurement metrics.

A hypothesis must be tested. ONTSUBU plans to run parallel experiments across four lines: household refrigerators, commercial cold storage, outdoor storage, and indoor storage. Under measured and controlled environmental conditions (light, temperature, humidity, etc.), it will measure changes in umami compounds and in days of freshness preserved, building a base of foundational data.

Figure 4 — Four-Group Design and Decision Criteria
G0 Silence Baseline G1 White noise Represents “sound in general” G2 Sine wave 432 Hz Single frequency, even spacing G3 — ONTSUBU™ designed sound Ikuyi Minat source audio Jitter × Ma × multi-frequency 96 kHz · hi-res capable Success thresholds (G3 vs G0) Onset of spoilage +2 days or more (primary) Fresh weight at harvest +15% or more (primary) Total nitrogen / amino acids +10% or more (secondary)

A four-group comparative design. The superiority of G3 (ONTSUBU™ designed sound) is tested against “sound in general” and silence. Decision criteria are pre-defined before the experiment begins.

Line 1
Household refrigerator (retrofit-device validation)

Subjects: strawberries, tofu, natto, cooked rice
Goal: test feasibility for consumer products

Line 2
Commercial cold storage (real-environment validation)

Subjects: leafy vegetables, tubers, fruit
Goal: obtain economic proof data in the field

Line 3
Outdoor storage (validation under variable conditions)

Subjects: tubers, root vegetables
Goal: test acoustic effects under outdoor conditions

Line 4
Indoor storage (validation in temperature/humidity-controlled conditions)

Subjects: leafy vegetables, fruit
Goal: obtain precise data in a controlled environment

Measurement metrics

Metric
Frequency
Cost
Germination rate (%)
At start
Free
Appearance score (5-point) + photo record
Daily
Free
Onset of spoilage
Post-harvest, daily
Free
Post-harvest weight-loss rate (%)
Post-harvest, daily
Scale
Fresh weight at harvest (g)
Day 21
Scale
Total nitrogen / free amino-acid analysis (external lab)
At harvest
Outsourced
Temperature/humidity log (environmental control)
Continuous
Logger

Experimental phases

01
Phase 1 · in progress
Household refrigerator × farm cold storage

Strawberries, leafy greens, tubers. Test the hypothesis and produce the first numbers.

02
Phase 2
Peaches, sweet potatoes

Economic-estimate proof on high-value crops. On a formal contract basis with farmers.

03
Phase 3
Partnerships with farmers and distributors

Large-scale validation in real environments. Toward SBIR application and commercialization.

06 Economic Impact
06 · Economic Impact

The economic and social impact of a +2-day freshness extension.

“What percentage of improvement is worth how much to a farmer?”—this question is the starting point of the experimental design.

Figure 5 — Economic-Impact Estimate of +2-Day Freshness (per 10a of farmland)
0 ¥50K ¥100K ¥120K Leafy vegetables (household, annual) ≈ ¥5,000 Peaches (low) per 10a ¥80K Peaches (high) per 10a ¥120K Sweet potatoes Umami enhancement unit price +15–30% Waste reduction (national estimate) ≈ 75,000 tons Improvement (per 10a)
Peaches (loss reduction)
Sweet potatoes / leafy greens (umami & freshness)
National food-waste reduction (estimate)

Back-calculating the economic value of a +2-day freshness extension by crop. For peach farmers (10a), this equates to ¥80,000–120,000 in improved revenue. For sweet potatoes, a 10% gain in umami compounds enables a shift to a high-value-added product line.

For households
Leafy vegetables

The most-discarded food in home refrigerators. Freshness begins to decline 3–4 days after purchase, with a waste rate of about 30%. A +2-day freshness extension reduces waste loss by 15–20%.

Per household, annually
≈ ¥3,000–5,000 in savings
For farmers · high value
Peaches

Yield per 10a: ≈ 1,150 kg. Gross revenue: ¥800,000–1,200,000 per 10a. The post-harvest sellable window is just 3–5 days. In distribution, 5–15% loses value due to declining freshness.

Freshness +2 days → 10% waste reduction
¥80,000–120,000 improvement per 10a
Kagoshima specialty · differentiation
Sweet potatoes

Yield per 10a: ≈ 2,000–2,500 kg. Improved umami and sugar content allow sales at a separate, higher price point as a premium product line.

Umami compounds +10%
→ equivalent to a 15–30% unit-price increase

As sound × food technology is proven, its applications may expand from household refrigerators to entire agricultural warehouses, and further into distribution, retail, and foodservice.Answering the global challenge of food waste with sound—a non-chemical, non-thermal approach.

CONCLUSION

This study examines the potential to preserve food freshness and enhance umami through the design of acoustic vibration patterns.

Maintaining “freshness”—a living process—is an economically and socially significant challenge for distribution, retail, and farmers alike. While prior research has suggested that acoustic stimulation may affect microbial behavior and the metabolism of food cells, 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 food-freshness preservation and umami enhancement. Its findings aim to contribute to a new research domain bearing on the reduction of food waste and on foundational technology for agricultural infrastructure.

Referenced Prior Research

[1]
Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs
Wiesenfeld & Moss · Nature, Vol.373 (1995) · DOI: 10.1038/373033a0
[2]
What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology
McDonnell & Abbott · PLOS Computational Biology, Vol.5(5) (2009) · DOI: 10.1371/journal.pcbi.1000348
[3]
Effects of sound exposure on the growth and intracellular macromolecular synthesis of E. coli K-12
Gu, Zhang & Wu · PeerJ (2016) · DOI: 10.7717/peerj.1920
[4]
Sound Stimulation Can Affect Saccharomyces cerevisiae Growth and Production of Volatile Metabolites
Lemmens et al. · Frontiers in Microbiology (2021) · PMC8468475
[5]
Investigating the effect of acoustic waves on spoilage fungal growth and shelf life of strawberry fruit
Multiple authors · Food Science & Technology, ScienceDirect (2024)
[6]
Multiple-frequency ultrasound for the inactivation of microorganisms on food: A review
Mustapha et al. · Journal of Food Process Engineering, Wiley (2024) · DOI: 10.1111/jfpe.14587
[7]
Enhancement of plant leaf transpiration with effective use of surface acoustic waves
Lee et al. · RSC Advances (2018) · DOI: 10.1039/c8ra01873a
[8]
Ultrasound in the Food Industry: Mechanisms and Applications for Non-Invasive Texture and Quality Analysis
Foods, MDPI Vol.14(12) (2025) · DOI: 10.3390/foods14122057