Wiley has announced the launch of its spectral analysis application programming interface (API) portfolio, designed to provide laboratories, vendors, and platforms with faster access to its validated spectral data, analytical algorithms, and predictive models. The new offering integrates Wiley’s trusted reference collections directly into modern, API‑driven workflows.
Wiley maintains one of the most comprehensive collections of scientific reference databases, widely used for identifying unknown chemical compounds across pharmaceuticals, forensics, environmental science, chemicals, food, and materials research. The API portfolio extends these resources into automated environments, enabling users to incorporate spectral intelligence into their own systems.
The initiative addresses the growing need for rapid and reliable compound identification as laboratory workflows become increasingly automated. By reducing manual effort and accelerating analysis, the APIs aim to improve efficiency and confidence in results across diverse applications, from quality control in production to forensic investigations.
Armughan Rafat, Wiley’s Senior Vice President and Chief AI and Data Services Officer, emphasized that speed is critical when identifying unknown substances. He noted that delays can disrupt processes such as manufacturing or casework in forensic labs. Rafat explained that Wiley’s decades of work in building trusted reference data now underpin this API‑based approach, which is intended to help laboratories and vendors achieve faster, scalable results.
The portfolio launches with four core capabilities:
• Spectral Database Search API – Enables rapid compound identification through Wiley’s reference collections.
• Spectrum‑Structure Validation API – Confirms proposed chemical structures against experimental spectral data.
• Compound Classification API – Categorizes unknown substances, including drugs, by compound class.
• Spectra Prediction API – Generates predicted spectra to support research, method development, and validation.
Unlike fragmented in‑house databases or instrument‑specific solutions, Wiley’s APIs provide a curated, vendor‑neutral foundation that supports multi‑technique workflows, regulatory compliance, and interoperability across platforms. This approach is expected to help laboratories increase throughput, minimize downtime, and maximize the value of existing instrumentation and data.
Spectral databases capture molecular “fingerprints” of substances using techniques such as infrared (IR), mass spectrometry (MS), nuclear magnetic resonance (NMR), and Raman spectroscopy. By comparing experimental spectra with validated reference data, researchers can accurately identify unknown compounds. APIs, in turn, allow computer systems—from lab instruments to software platforms—to exchange this information automatically.
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