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Artificial Intelligence concept © local_doctor -chronicles-stock.adobe.com

At Pittcon, generative artificial intelligence will be presented at the James L Waters Symposium on Monday, March 9, 2:30 PM to 4:40 PM in Room 221A. Generative artificial intelligence has transitioned from a conceptual novelty to a practical approach for innovation in spectroscopic data analysis. During 2025, a small set of highly influential publications crystallized this transformation by demonstrating how generative models can synthesize realistic spectra, solve inverse spectral problems, accelerate materials discovery, and automate molecular structural elucidation. This article reviews six pivotal contributions published in 2025 that collectively define the state of generative artificial intelligence in spectroscopy. These works establish theoretical foundations, survey emerging methods, introduce physics-informed generative architectures, and demonstrate transformative applications across vibrational, electronic, and magnetic resonance spectroscopies.

Depiction of Dracula’s Castle  ©  Amith -chronicles-stock.adobe.com

The final FDA guidance on Computer Software Assurance (CSA) was released in September 2025. This was followed by an update in Feb 2026 incorporating Quality Management System (QMS) based on ISO 13485:2016. Many proponents particularly outside of the medical device ecosystem have said that CSA will replace Computerised System Validation (CSV). But will it? Really?

Research evaulating the performance of modern micro-X-ray fluorescence (μ-XRF) silicon drift detector (SDD) systems for forensic discrimination of electrical tape evidence, comparing results from eight participating laboratories addressed the critical need for standardized analytical protocols in forensic laboratories analyzing pressure-sensitive adhesive tapes, which are frequently encountered in criminal investigations including drug trafficking, kidnapping, and improvised explosive device construction. Spectroscopy spoke to Lacey Leatherland, lead author of the paper resulting from the study.

Top 10 Most Influential Biopharmaceutical  Articles on NIR © Emiliia -chronicles-stock.adobe.com

During 2025, near-infrared (NIR) spectroscopy has accelerated its transition from a mature analytical technique into a digitally enabled cornerstone of biopharmaceutical manufacturing and quality control. Advances in miniaturized instrumentation, process analytical technology (PAT), chemometrics, artificial intelligence (AI), and real-time process control technologies have driven NIR spectroscopy into new roles spanning upstream fermentation, downstream processing, raw material characterization, and continuous manufacturing. This article reviews and contextualizes ten influential peer-reviewed publications from 2025 that collectively define the current state and near-term trajectory of NIR spectroscopy in biopharmaceutical analysis.

Top 10 Most Influential Biopharmaceutical  Articles on FT-IR © Emiliia -chronicles-stock.adobe.com

Fourier transform infrared (FT-IR) spectroscopy has undergone a notable evolution in biopharmaceutical analysis over the past three years. Advances in crystal engineering, process analytical technology (PAT), chemometrics, machine learning (ML), and hyphenated analytical platforms have significantly expanded FT-IR’s analytical scope. This article reviews ten of the most influential publications from 2023–2026 that exemplify FT-IR’s growing role across the biopharmaceutical lifecycle, from drug substance design and formulation to manufacturing, quality control, and clinical bioanalysis.

Top 10 Most Influential Biopharmaceutical Articles on Raman © Emiliia -chronicles-stock.adobe.com

Between 2023 and 2026, Raman spectroscopy transitioned from a supportive analytical technique to a central enabling technology in biopharmaceutical analysis and manufacturing. Advances in artificial intelligence (AI), machine learning (ML), automation, and surface-enhanced Raman spectroscopy (SERS) have expanded Raman’s role from nutrient monitoring to real-time prediction of critical quality attributes (CQAs), inline control of complex bioprocesses, and non-destructive analysis of finished drug products. This article reviews ten of the most influential publications from this period, highlighting how they collectively reshaped expectations for Raman spectroscopy as a process analytical technology (PAT) and a quality-by-design (QbD) tool in modern biopharmaceutical development.

This year’s Emerging Leader in Atomic Spectroscopy Award recipient is Sarah Theiner, whose research is focused on the application of atomic spectroscopy techniques—laser ablation inductively coupled plasma–mass spectrometry (LA-ICP-MS) and single-cell ICP-MS—to expand these analytical techniques as tools for biological and clinical imaging and drug-distribution studies.