Edinburgh Analytical and Alontia Launched New Tech
The firms released the DB30 NanoIndex and NanoSize packages to integrate advanced nanophotonic cuvette technology.
Updated on Sept. 25, 2026 in Biotech
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Edinburgh Analytical and Alontia have launched the new DB30 NanoIndex and DB30 NanoSize packages. The systems integrate nanophotonic cuvette technology with the DB30 spectrophotometer platform and cloud-based analytics.
Why it matters
These integrated packages aim to provide refractive-index and particle-size insights using existing UV-Vis instrumentation. The design focuses on reducing required sample volumes and simplifying overall sample preparation.
The DB30 NanoIndex utilizes the NanoCuvette One for refractive index analysis, while the NanoSize package employs the NanoCuvette S for particle measurements. Both solutions integrate machine learning-based modelling through the SpectroWorks cloud platform.
The players
Edinburgh Analytical
An analytical technology firm headquartered in Edinburgh that focuses on spectrophotometer platform development.
Alontia A/S
A Copenhagen-based biotechnology company formerly known as Copenhagen Nanosystems A/S and CPHNANO that specializes in nanophotonic cuvette technology.
The details
The collaboration combines Alontia's nanophotonic cuvette technology with Edinburgh Analytical's DB30 spectrophotometer platform and the SpectroLink box setup. This configuration leverages cloud-based analytics to manage complex data workflows.
Timeline
September 25, 2026: Edinburgh Analytical and Alontia launched the new packages.
The Tech Race
This integration follows a broader trend of enhancing legacy UV-Vis instrumentation through AI-driven cloud analytics and modular hardware. It positions the firms to compete against high-throughput laboratory systems by repurposing existing equipment for advanced material analysis.
Researchers and lab technicians can expect simplified sample preparation workflows and reduced volume requirements for their experiments. The use of the SpectroWorks cloud platform allows for automated data management, potentially speeding up analysis cycles in laboratory settings.
The takeaway
The move demonstrates how manufacturers are increasingly prioritizing software-defined hardware to extend the utility of existing analytical tools. Users should look for how these modular upgrades might replace more expensive, dedicated particle analysis equipment in their own laboratory setups.
Further reading
Learn more about the latest developments in Biotech.
Source note: This article includes information reported by AZoM.
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