Edinburgh Analytical and Alontia Launched DB30 Packages
The new collaboration integrates nanophotonic cuvettes into existing spectrophotometer platforms for faster lab analysis.
Updated on Sept. 25, 2026 in Biotech
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Edinburgh Analytical and Alontia have launched the DB30 NanoIndex and DB30 NanoSize packages to modernize data collection on existing UV-Vis instrumentation. The release marks a shift toward integrating cloud-based analytics with specialized nanophotonic hardware to streamline laboratory workflows.
Why it matters
By pairing machine learning-based modelling with existing spectrophotometers, the packages aim to lower sample-volume requirements and reduce the complexity of sample preparation. This integration allows labs to extract refractive-index and particle-size data without investing in new, dedicated diagnostic systems.
The DB30 NanoIndex package uses NanoCuvette One for refractive index analysis, while the NanoSize package leverages NanoCuvette S for particle size measurements. Both packages operate via a SpectroLink box setup that offloads data to the SpectroWorks cloud platform.
The players
Edinburgh Analytical
An analytical instrument manufacturer specializing in hardware and software solutions for laboratory diagnostics.
Alontia A/S
A developer of nanophotonic cuvette technology, formerly known as Copenhagen Nanosystems A/S and CPHNANO.
The details
The system combines nanophotonic cuvettes—specialized sample containers that use light manipulation on the nanoscale to improve optical performance—with the DB30 spectrophotometer, an instrument used to measure the intensity of light absorbed by a sample. Data management is handled by machine learning-based modelling, which interprets the complex optical signals generated by the cuvettes. This process simplifies how researchers handle liquid samples by requiring smaller volumes for accurate refractive index and particle size readings.
Timeline
September 25, 2026: Edinburgh Analytical and Alontia launched the new packages.
The Tech Race
The development represents a transition from standalone laboratory hardware to cloud-integrated, machine-learning-supported diagnostic ecosystems. This effort directly competes with high-cost, specialized diagnostic hardware by extending the capability of existing UV-Vis instrumentation.
Laboratory researchers can now utilize their existing spectrophotometers for more complex refractive index and particle size analysis without adding heavy equipment. Workflow benefits include reduced sample volume requirements and automated data management through the SpectroWorks cloud.
The takeaway
The move signals a trend toward retrofitting legacy lab equipment with cloud and AI processing to avoid the costs of hardware upgrades. Watch for future updates to the SpectroWorks platform to see if the system expands to include broader spectroscopic diagnostics.
Further reading
For more on the latest instrumentation in the sector, see Biotech.
Source note: This article includes information reported by AZoM.
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