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Run your analysis now →https://www.patsnap.com/resources/blog/rd-blog/photocatalysis-quality-control-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Chemical & Process EngineeringPhotocatalysis Quality Control Patent Landscape 2026
10
Published Records
US
Leading Jurisdiction
14
Active Filers Ranked
2018
Peak Filing Year
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview
A narrow, young corpus still finding its shape
The dataset covers ten patent families that combine photocatalysis language with quality-control terms — catalyst activity screening, batch consistency, photocatalyst characterization — inside the B01J35, G01N21 and B01J37 classification space. That is a small corpus, and it behaves like one: no assignee has filed twice, and the strongest co-assignee links point to a single academic research group rather than a company building a portfolio. The technology composition skews heavily toward B01J, the catalytic-process classification, with C07C carbocyclic-compound claims as the next largest block, and thinner activity in nanotechnology (B82Y, B82B) and non-metallic inorganic compounds (C01B, C01G).
Publication lags filing by roughly eighteen months, so the 2026 figure in the trend below is necessarily incomplete — treat the most recent year as a floor, not a ceiling.
Filing activity and technology composition, 2015-2026
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Photocatalysis Quality Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Data
Filing trend and classification spread
Two views of the same ten families: how filing activity has moved year over year, and where those filings sit across the international patent classification.
Filing trend, 2017-2026
Filings sat at zero in 2017, rose to a peak of two in 2018, held at one by the 2022 midpoint, and reach two again in 2026 on partial-year data — a pattern consistent with a technology still in its early, exploratory filing phase rather than one that has plateaued.
IPC subclass composition
B01J dominates at nine of ten records, confirming that most applicants are claiming the catalytic process itself rather than downstream characterization tooling; C07C's five records show a strong secondary interest in the carbocyclic feedstocks being converted, while B82Y, C01G, A23L, A62D, B82B and C01B each register only once or twice.
Shares are the percentage of the 10 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Photocatalysis Quality Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.
Go deeper on Photocatalysis Quality Control with Eureka
This page is one run against one query. Ask Eureka your own question about photocatalysis quality control and every answer comes back with the patent numbers behind it.
Try EurekaKey Patents
Most-cited records and the newest filing
Representative filing
TiO2-CQDs nanoflower photocatalyst, photocatalytic thin film and application
HEFEI UNIVERSITY OF TECHNOLOGY
The disclosure provides a TiO2-CQDs nanoflower photocatalyst, a photocatalytic thin film and an application, belonging to a technical field of photocatalyst for food processing. The TiO2-CQDs nanoflower photocatalyst includes TiO2 and CQDs doped with TiO2, the CQDs derived from aloe extract. The extract obtained from natural aloe is used as a carbon source to provide CQDs, and TiO2 is modified to obtain the nanoflower photocatalyst and photocatalytic thin film for catalytic degradation of polycyclic aromatic hydrocarbons (PAHs).Filed by Hefei University of Technology, published 2025-11-27 — the newest record in the dataset.
Most-cited records in this corpus
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20190276383A1 | PT/SRTiO3 PHOTOCATALYST FOR PRODUCTION OF CYCLOALKANOLS AND CYCLOALKANONES FROM CYCLOALKANES | 17 |
| 2 | US20200361840A1 | Process for forming a photocatalyst and oxidizing a cycloalkane | 1 |
Citation counts reflect influence within this searched corpus and favour older filings; they are not a measure of current commercial weight.
Publication numbers are shown where the record carries one (2 of 2 rows); clicking a row searches Eureka by that number.
Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Photocatalysis Quality Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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What the numbers say about this field
Three read-throughs from a small, still-forming corpus.
Citation concentration
17 citations
on the lead record
One filing carries almost all forward influence
US20190276383A1 for a Pt/SrTiO3 photocatalyst used to make cycloalkanols and cycloalkanones from cycloalkanes draws 17 citations against a next-closest figure of 1. That gap means the corpus has one clearly influential anchor claim and a long tail of filings that have not yet been built on.
Citation counts favour older records; recency is not captured here.
Classification skew
9 of 10
records touch B01J
Claims cluster on the catalytic process, not the QC instrumentation
Despite the search terms targeting activity screening and characterization, nine of ten families still classify primarily under B01J — catalytic process and apparatus — rather than G01N measurement classes. QC-specific instrumentation claims remain thin.
IPC subclass count across 10 published records.
Geographic concentration
7 US / 3 India
receiving offices
Filing activity has not left two jurisdictions
Every record in this dataset routes through either the United States or India receiving office. No European, Chinese or other national-office filing appears in the corpus, which for a topic this specific may reflect search-string scope as much as true geographic limits.
Based on all 10 published records.
Assignee fragmentation
1 filing each
per named assignee
No repeat filer yet
Recent-year momentum lists six distinct names — Sharda University, Selvakumar S, Rathore Kuldeep S, Preeti, Kumar Harish, Kulshrestha Shobha — each with exactly one filing in the latest year. Co-assignee pairs show these names clustering around a single research group rather than a corporate assignee building depth.
Recent-year momentum data across 6 named assignees.
Eureka AI Agent
Looking for what nobody has claimed yet?
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to photocatalysis quality control, with the prior art for and against each one.
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Photocatalysis Quality Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next
Where to take this analysis
This corpus is small enough that a single new filing can shift the ranking. Two ways to keep watch.
Track the B01J/G01N boundary
Nine of ten records classify under the catalytic-process subclass rather than measurement classes, suggesting QC-specific instrumentation claims are still being written into process patents rather than filed separately. Watch for new G01N21-primary filings as a signal that this is changing.
Explore in Patsnap EurekaWatch the single-filer cluster
Every named assignee in the recent-year momentum table has filed exactly once. A second filing from any of them — particularly the Sharda University-linked group — would be the first sign of a sustained program rather than an isolated academic filing.
Explore in Patsnap EurekaSource: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Photocatalysis Quality Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ
Common questions on this landscape
This dataset identifies ten patent families published between 2015 and the 2026 data cut-off that combine photocatalysis terminology with quality-control language such as catalyst activity screening, batch consistency and photocatalyst characterization, within the B01J35, G01N21 and B01J37 classification space. That is a small, specific corpus rather than the full photocatalysis literature. Because publication lags filing by around eighteen months, the true 2025-2026 filing count is likely higher than currently visible.
No single assignee leads by filing count in this corpus — every named assignee in the recent-year momentum data shows exactly one filing. The strongest connections are co-assignee pairs centred on one research group (Selvakumar S with Rathore Kuldeep S, Preeti and Kumar Harish), suggesting an academic collaboration rather than a corporate program. The most-cited individual record traces to the assignee behind US20190276383A1, a Pt/SrTiO3 photocatalyst filing with 17 citations.
B01J, the catalytic process and apparatus classification, appears in nine of the ten records, making it by far the dominant subclass. C07C, covering acyclic and carbocyclic compounds, is the next largest at five records, reflecting interest in the feedstocks being converted. Smaller counts appear in nanotechnology-related B82Y and B82B, and inorganic-compound classes C01G and C01B, indicating those are secondary rather than core filing targets.
The filing trend shows zero filings in 2017, a peak of two in 2018, one at the 2022 midpoint, and back to two in 2026 on partial-year data, which reads as acceleration rather than decline. Because the 2026 figure is incomplete due to publication lag, the actual growth trajectory is likely stronger than the raw numbers show. This is still a young, low-volume field — ten families total — so short-term swings carry more weight than they would in a larger corpus.
The clearest gap is between the catalytic-process claims that dominate under B01J and the measurement-specific claims that would sit under G01N21; very few filings in this corpus target QC instrumentation directly. Bio-derived dopant materials, such as the aloe-derived carbon quantum dots in the newest filing, and batch-consistency metrics for thin-film photocatalysts also show little direct coverage. Given the small size of the corpus, a well-drafted first claim in any of these sub-areas would face limited prior art within this specific search scope.
Answers are grounded in the same dataset. Derived from a Patsnap search on Photocatalysis Quality Control covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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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.