SERS in process analytics: when surface enhancement actually helps
SERS makes Raman a billion times stronger and a hundred times more fragile. For most inline measurements that is the wrong trade. The places where it pays off are narrow but real.
Articles by Saskia de Vries
Hyperspectral imaging in process analytics: what the 2025-2026 reviews say
Six recent reviews map where hyperspectral imaging now sits as a process-analytics tool in pharma, food, recycling, and beyond - and where chemometrics, data hunger, and standards still hold it back.
Deep-learning chemometrics for process Raman: where the 2026 literature has landed
Five recent papers sketch where deep-learning chemometrics sits versus PLS for process Raman: a public bioprocess benchmark, two classifier benchmarks, self-supervised pre-training, and an explainability tool for GMP.
Open-source chemometric libraries: what's actually usable in production
scikit-learn, pyChemometrics, ChemometricsLib, and the rest. A practitioner's review of what works for inline spectroscopy, what doesn't, and where the gaps still are.
Time-gated Raman in 2025-2026: recent papers on fluorescent matrices
Recent peer-reviewed work on time-gated Raman - 512-pixel SPAD line arrays, Fourier-transform variants, and time-resolved use beyond fluorescence rejection - and what process-analytics teams can take from it.