Gas Sensor Scale-Up Patents: Who Leads, Where the Gaps Are 2026
- Filing activity peaked in 2019 at 13 families and has declined since, with zero filings recorded for every leading assignee in the most recent tracked year.
- G01N material analysis claims 40 of 64 families more than six times the next largest subclass, leaving G02B, H01L, A61B and B01J comparatively open.
- Collaboration is thin across the field only 8 co-assignee pairs exist in total, and the strongest pair shares just 2 filings.
What this patent landscape covers
This landscape tracks 64 patent families filed between 2015 and the 2026 data cut-off that combine gas-sensing claim language — chemiresistive, gas-detection or gas-sensor arrays — with production-scale terms such as wafer-level fabrication, batch sensor production or high-volume manufacturing. The intersection is narrow by design: it isolates filings that address making these sensors in volume, not sensing chemistry alone.
Filing activity is concentrated in the G01N material-analysis subclass, receiving offices skew heavily toward the United States, and the field's most influential prior art dates back to array-detector filings from the early 2000s. The picture that emerges is a technology area whose core claim positions were largely staked out before the 2019 filing peak, with several adjacent branches still thinly claimed.
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Filing trends and technology composition
Sixty-four patent families make up this dataset, spanning filings from 2015 through the partial-year 2026 cut-off. The trend line and IPC breakdown below show where claim activity has concentrated and where it has thinned out.
Filing activity peaked in 2019 and has not recovered
Filings rose from zero in 2017 to a peak of 13 in 2019, sat at 8 by the 2022 midpoint, and show no filings in the most recent year across the tracked assignees. Publication lag of roughly 18 months means the last one to two years will always look thinner than they eventually turn out to be, but the multi-year decline from the 2019 peak predates that effect.
Material analysis and alarm systems dominate the IPC spread
G01N (material analysis and testing) accounts for 40 of the 64 records, more than six times the next largest subclass. G08B (signalling and alarm systems) follows at 15, with A61M (body-fluid devices) at 11. The remaining five subclasses — G02B, H01L, G06F, A61B and B01J — each hold single digits, marking them as comparatively open claim territory.
Shares are the percentage of the 64 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Gas Sensor Scale-Up and Mass Production with Eureka
This page is one run against one query. Ask Eureka your own question about gas sensor scale-up and mass production and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative filing and most-cited records
NANO gas sensor system based on a hybrid nanostructure sensor array (US20200064294A1)
A gas sensor architecture combining hybrid nanostructures with embedded electronics, MEMS, data science and cloud-based applications, framed by the applicant as manufacturable in very high volume and intended to deliver granular, actionable gas-concentration data.Filed by Aernos, Inc.; published 2020-02-27.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20040135684A1 | Non-specific sensor array detectors | 585 |
| 2 | US7034677B2 | Non-specific sensor array detectors | 282 |
| 3 | US7171312B2 | Chemical and biological agent sensor array detectors | 188 |
| 4 | US20040204915A1 | Chemical and biological agent sensor array detectors | 173 |
| 5 | US20070134866A1 | Method for integrating carbon nanotube with CMOS chip into array-type microsensor | 33 |
| 6 | US20080218860A1 | Optical sensor based on surface electromagnetic wave resonance in photonic band gap materials | 27 |
| 7 | US20090010589A1 | Optical sensor based on surface electromagnetic wave resonance in photonic band gap materials | 21 |
| 8 | WO2004059589A2 | Non-specific sensor array detectors | 19 |
| 9 | US7436596B2 | Optical sensor based on surface electromagnetic wave resonance in photonic band gap materials and method for … | 17 |
| 10 | US20200256840A1 | SYSTEMS AND METHODS FOR AN SoC BASED ELECTRONIC SYSTEM FOR DETECTING MULTIPLE LOW CONCENTRATION GAS LEVELS | 10 |
Citation counts are measured within this searched corpus and favour older filings; treat them as a signal of architectural influence, not of current commercial importance.
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Browse MCP servers →What the filing data signals
Three patterns stand out once the 64 families are broken down by year, classification and citation weight: a filing wave that has passed its peak, a technology mix concentrated in one subclass, and a citation structure still anchored to filings from the mid-2000s.
The 2019 peak has not been matched since
Filings climbed from zero in 2017 to a peak of 13 in 2019, then eased to 8 by the 2022 midpoint before falling to zero in the most recent year across the tracked assignees. Given an 18-month publication lag, the very latest year will always undercount, but the multi-year decline predates that effect.
Material analysis and testing dominates the IPC spread
G01N accounts for 40 of the 64 families, with G08B (signalling and alarm systems) a distant second at 15. The remaining six subclasses each hold single-digit counts, marking a technology mix concentrated in sensing and detection rather than fabrication process claims.
Influence still traces back to early 2000s array-detector filings
The most-cited record, US20040135684A1, carries 585 citations, with a related family member at 282. Both predate the 2019 filing peak by well over a decade, indicating that later hybrid-array and cloud-connected filings are building on architecture claimed nearly two decades ago.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to gas sensor scale-up and mass production, with the prior art for and against each one.
Who holds the claims, and where the field is open
Filing activity concentrates among a handful of assignees, but none of them show filings in the most recent tracked year — a sign that this field's foundational claim positions were set some years back rather than being contested today.
Aernos anchors the hybrid-nanostructure route
Aernos's representative filing frames a hybrid nanostructure sensor array with embedded electronics and cloud normalization as manufacturable at high volume, positioning the company at the system-integration end of the field rather than the raw sensing-material end.
The field's only notable co-filing pair
Smiths Detection Pasadena and Celeroton Scientific form the strongest co-assignee pair identified in this dataset, at 2 shared filings — modest in absolute terms but the densest collaboration signal in a field where most filers act alone.
Long tail of single-filer contributors
Alongside the corporate assignees, individually named inventors and small filers make up part of the ranking, consistent with a field where a long tail of single-filing entrants sits beneath a small group of more active assignees.
| Assignee | Recent year | YoY |
|---|---|---|
| Aernos, Inc. | 0 | — |
| VENTIS MEDICAL INC | 0 | — |
| SMITHS DETECTION PASADENA INC | 0 | — |
| ROBERTSON WILLIAM M | 0 | — |
| Celeroton Scientific Co., Ltd. | 0 | — |
| Smiths Detection | 0 | — |
| Intel Corporation | 0 | — |
| Robert Bosch GmbH (Germany) | 0 | — |
Where to take this analysis next
The filing trend and classification breakdown answer where activity has concentrated. The next questions are about specific claims and specific competitors.
Run a full freedom-to-operate check
Citation weight in this dataset still traces back to array-detector filings from the early 2000s. A claim-by-claim comparison against those families is the next step before committing to a hybrid-array architecture.
Start a claim chart in EurekaTrack the assignees showing zero recent filings
Every leading assignee in this dataset shows zero filings in the latest tracked year. Confirming whether that reflects a lapsed program, a pending unpublished application, or exit from the field changes how much weight to put on their existing claims.
Monitor assignee activity in EurekaScope a filing in the under-claimed branches
Catalysis, optical integration and body-fluid packaging each carry single-digit record counts. Drafting a claim that ties one of these to a defined batch-fabrication step is the most direct way to avoid the densest prior art.
Draft a claim scope in EurekaCommon questions about gas sensor scale-up patents
The dataset's ranking is led by a small group of assignees including Aernos, Ventis Medical, Smiths Detection Pasadena and Celeroton Scientific, alongside individual inventors such as William M. Robertson. None of these assignees show filings in the most recent tracked year, which points to a field where the core claim positions were established earlier rather than being actively contested today. Anyone evaluating freedom to operate should look at the full citation and filing-date profile of each assignee rather than relying on headline rank alone.
Most of the relevant filings sit in IPC subclass G01N, covering material analysis and testing, which holds 40 of the 64 families in this dataset. Semiconductor-specific manufacturing detail is more likely to appear under H01L, though that subclass only accounts for 7 records here, suggesting wafer-level process claims are not the dominant way this technology has been protected. G08B (signalling and alarm systems) is the second-largest subclass at 15 records, reflecting how many gas-sensor filings are framed around detection-and-alarm system integration rather than the sensor fabrication process itself.
The dataset shows filings rising to a peak of 13 in 2019 before declining, with the 2022 midpoint at 8 and no filings recorded for the leading assignees in the most recent year. This pattern is consistent with an early wave of foundational array-detector and hybrid-nanostructure claims being filed and then a period where fewer new combinations were being claimed. It does not necessarily mean commercial activity has slowed — publication lag of about 18 months means recent filings are systematically undercounted in any dataset cut off close to the present.
US20200064294A1, filed by Aernos, describes a hybrid nanostructure gas sensor array combined with embedded electronics, detection algorithms and cloud-based data normalization, explicitly framed as manufacturable at high volume. The claim scope centers on this system-level combination rather than on the sensing material alone, since hybrid nanostructure materials are already widely documented elsewhere in the G01N cluster. Teams building a sensor without the networked cloud-normalization layer are less likely to fall inside its claim scope, but anyone combining an array with on-board electronics and networked analytics should read the claims closely.
The smallest IPC subclasses in this dataset — B01J (catalysis, 3 records), A61B (diagnosis and surgery, 3 records) and G02B (optical elements, 8 records) — represent the thinnest claim coverage relative to the dominant G01N and G08B clusters. Co-assignee collaboration is also sparse across the whole dataset, with only 8 pairs identified and the strongest pair sharing just 2 filings, suggesting these adjacent branches have not been consolidated by any single group. A first claim tying a specific catalytic or optical sensing element to a defined batch-fabrication step would sit outside the densest prior art identified here.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.