Non classé - Chimiometrie

filtres chimiométriques: réduisez le bruit et améliorez vos prédictions

19.02.2026 / Julie

Eliminate instrumental noise using chemometric filters

You are looking to Eliminate instrumental noise with chemometric filters without distorting your signals or losing useful information. It’s a...

acp en chimiométrie : comprendre et appliquer facilement

19.02.2026 / Julie

Understanding Principal Component Analysis (PCA) in chemometrics

If you are looking to understand Principal Component Analysis (PCA) in chemometrics, you’re in the right place. I’ll guide you...

interpréter les score et loading plots: guide pratique

19.02.2026 / Julie

Interpreting the score and loading plots in a chemometric analysis

Decoding graphs isn’t some obscure rite. When I’m asked how to interpret Score and Loading Plots in a laboratory project,...

détection des valeurs aberrantes en chimiométrie: guide

19.02.2026 / Julie

Detection of outliers (Outliers) in your chemometric models

The Detection of outliers (Outliers) in your chemometric models is not a theoretical exercise. I've seen production lines stopped for...

classification non supervisée (hca) en chimiométrie: guide

19.02.2026 / Julie

Unsupervised classification (HCA): A chemometric approach

Are you looking to transform complex measurements into readable groups without imposing labels? That’s exactly what unsupervised classification (HCA) offers...

visualisation multidimensionnelle pour le chimiométricien

19.02.2026 / Julie

Multidimensional visualization tools for the chemometrician

When I talk about spectral data with my students, I often see the same look: too many variables, not enough...

régression pls: maîtrisez la chimiométrie en pratique

19.02.2026 / Julie

PLS regression (Partial Least Squares): The pillar of chemometrics

The PLS regression (Partial Least Squares): The pillar of chemometrics. Behind this somewhat formal formula, there is a tool that...

pcr ou pls : choisir une régression fiable rapidement

19.02.2026 / Julie

PCR or PLS: Which chemometric regression method to choose?

Are you hesitating between PCR and PLS to calibrate your models? The question comes up every semester with my students...

valider un modèle chimiométrique : r², rmsec et rmsep

19.02.2026 / Julie

Validating a chemometric model: R², RMSEP and RMSEC explained

Are you trying to untangle what your metrics really say when it's time to validate a chemometric model: R², RMSEP...

validation croisée en chimiométrie: guide pratique

19.02.2026 / Julie

Cross-validation in chemometrics: Principles and best practices

When asked how to make a predictive model reliable in the laboratory, I always come back to the same foundation:...

sur apprentissage en étalonnage chimiométrique: pratiques

19.02.2026 / Julie

Avoid overfitting (Overfitting) in your chemometric calibrations

Are you looking for clear benchmarks to avoid overfitting in your chemometric calibrations? I’ve seen splendid models... in the lab,...

transfert de modèles entre instruments : guide pratique

18.02.2026 / Julie

Transfer of chemometric models between instruments: The challenge

You are preparing the deployment of a model built in the lab to another machine, perhaps in production. The topic...

sélection de variables en chimiométrie: modèles robustes

18.02.2026 / Julie

Variable selection in chemometrics: Improving the robustness of models

When asked why some models hold up in production while others fall apart at the first batch change, I always...

simca en classification supervisée: guide pratique et fiable

18.02.2026 / Julie

The SIMCA method for supervised classification in chemometrics

You’re looking to bring order to batches, varieties, origins, without losing control of the error rate and the ability to...

lda vs pls da : choisir la chimiométrie discriminante

18.02.2026 / Julie

Discriminant chemometrics: Choosing between LDA and PLS-DA

Are you hesitating between LDA and PLS-DA for your next laboratory project? This question comes up every semester in my...

machine learning et chimiométrie: svm et rf sur spectres

18.02.2026 / Julie

Machine Learning and Chemometrics: SVM and Random Forest Applied to Spectra

In my laboratory, I often hear the same request: “How to get the most out of our spectroscopy data with...

deep learning en spectroscopie: bénéfices concrets

18.02.2026 / Julie

Deep Learning in spectroscopy : The new frontier of chemometrics

When asked where the discipline is headed, I answer without hesitation: “Deep Learning in Spectroscopy: The New Frontier of Chemometrics”....

chimiométrie et contrôle qualité agroalimentaire: précision

18.02.2026 / Julie

Chemometrics at the service of agro-food quality control

I've seen it dozens of times in the field: when we put Chemometrics in the service of agro-food quality control,...

prétraitement des données spectrales: clés pour des modèles fiables

30.01.2026 / Julie

The preprocessing of spectral data: A crucial step in chemometrics

If I had to summarize years of projects in the lab and in production, I would say this: everything starts...

correction de ligne de base: techniques chimiométriques

30.01.2026 / Julie

Baseline correction: Essential chemometric techniques

I am often asked how to tame a baseline that undulates, climbs, or sags without warning. The topic deserves an...

normalisation et standardisation des spectres guide pratique

30.01.2026 / Julie

Normalization and standardization of spectra in chemometrics

If you work with NIR, Raman, UV-Vis or MIR, you’ve already felt it: the quality of a model starts well...

chimiométrie et dérivée savitzky golay pour spectres nets

30.01.2026 / Julie

Chemometrics: Using the Savitzky-Golay derivative on your spectra

You work daily with optical measurements and you want to gain precision. Chemometrics: Using the Savitzky-Golay derivative on your spectra...

snv en chimiométrie : débruiter et harmoniser vos spectres

30.01.2026 / Julie

The SNV method (Standard Normal Variate) in chemometric analysis

When I teach chemometrics, a simple gesture often returns to the lab: capture a spectrum, "denoise" it, then prepare it...

chimiométrie: transformer mesures en décisions fiables

26.01.2026 / Julie

What is chemometrics? Definition and origin of the discipline.

If you’re looking for a clear answer to the question “chemometrics, what is it?”, you’re in the right place. I...

statistiques en chimie analytique: résultats fiables

26.01.2026 / Julie

The importance of statistics in analytical chemistry.

When someone asks me why I devote so much time to statistics, I answer that everything we measure in the...

différence entre chimiométrie et bio informatique : aperçu

25.01.2026 / Julie

Difference between chemometrics and bioinformatics.

You are looking for the Difference between chemometrics and bioinformatics. I have been teaching for fifteen years at the interface...

chimiométrie dans l'industrie : prédire et optimiser

25.01.2026 / Julie

The role of the chemometrician in modern industry.

When asked what a chemometrician does, I like to say that he is the engineer who gives a voice to...

chimiométrie: Étapes clés d'une étude réussie guide

25.01.2026 / Julie

The key steps of a successful chemometric study.

When someone asks me how to structure “The key steps of a successful chemometric study”, I think back to projects...

chimiométrie : glossaire des notions clés à connaître

25.01.2026 / Julie

Chemometrics glossary: The essential terms to know.

Looking for a clear reference to help you navigate this vast universe? This Chemometrics Glossary: The indispensable terms to know...

chimiométrie et ia: des décisions fiables en temps réel

25.01.2026 / Julie

Why has chemometrics become indispensable with AI?

Why has chemometrics become indispensable with AI? The question is asked of me in lecture halls as often as in...