The new application programming interface tools provide access to spectral data and analytical intelligence directly within existing laboratory systems.
Wiley announced the launch of its spectral analysis application programming interface (API) portfolio, designed to provide laboratories with faster access to spectral data, analytical algorithms, and predictive models within their own workflows.
The portfolio allows users to integrate spectral intelligence into modern, API-driven environments, reducing manual effort and increasing analysis speed, according to a press release from Wiley. The tool is intended for identifying unknown chemical compounds in fields such as pharmaceuticals, forensics, environmental science, and materials.
“Speed matters when you’re trying to identify an unknown substance; a delayed analysis can mean an assembly line sitting idle or a forensic lab holding up a case,” says Armughan Rafat, Wiley senior vice president and chief AI and data services officer, in a release. “We’ve spent decades building the reference data this industry trusts. Now, by making that spectral data and analytical intelligence available through APIs, we’re setting the standard for how labs and vendors turn unknowns into answers faster and at scale.”
Core API Capabilities
The portfolio features four specific capabilities: a spectral database search for compound identification, spectrum-structure validation to confirm chemical structures against experimental data, compound classification based on class, and spectra prediction to generate predicted spectra for research and validation.
These APIs support various analytical techniques, including infrared (IR), mass spectrometry (MS), nuclear magnetic resonance (NMR), and Raman spectroscopy. By offering a vendor-neutral foundation, the system is designed to support multi-technique workflows, regulatory compliance, and cross-platform interoperability, according to Wiley.
Improving Laboratory Throughput
As sample volumes grow and workflows become more automated, the ability to identify and verify compounds quickly becomes critical for laboratory operations. The API portfolio aims to meet this need by providing a faster way to complete analysis, whether identifying an unknown compound in the field or catching a quality issue on a production line.
By integrating these tools, laboratories can potentially increase throughput, minimize downtime, and protect the value of existing instrumentation and data investments, according to Wiley.
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