Spettroscopia e Chemiometria Weekly News #16, 2017

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Chemometrics

UV/Vis spectroscopy combined with chemometrics for monitoring solid-state fermentation with … LINK

What is MODEL SELECTION? What does MODEL SELECTION mean? MODEL SELECTION meaning & explanation: LINK

Model selection with multiple regression on distance matrices leads to incorrect inferences LINK



Equipment

Tiny spectrometer turns smartphone into molecular analyst LINK

High-grade, compact spectrometers for Earth observation from SmallSats LINK



Future

Miniature and Micro Spectrometers End-Users Needs, Market & Trends 2015-2021 – Research and Markets – Yahoo Finance LINK



Agriculture

Prediction of milk fatty acid content with mid-infrared spectroscopy in Canadian dairy cattle using differently… LINK!



Other

Smallest seismic sensor uses vibration spectral analysis LINK




Spectroscopy and Chemometrics News Weekly #47, 2015

Near Infrared

NIR-Sensor ermittelt Trockensubstanz während der Mischwagenbefüllung | Futterkomponente LINK

Ultra-low maintenance FTNIR analyzer for the refining & petrochemical industries | pauto LINK


Infrared

Seeing Through Crude Oil for Efficient Oil Separations using Short-Wave Infrared (SWIR) Cameras – AZoSensors LINK


Facts

RoboBees Can Fly and Swim. What’s Next? Laser Vision – Smithsonian UAS UAV LINK


Equipment

Scientists create an all-organic UV on-chip spectrometer – The U.S. Department of Energy’s Ames LINK


Agriculture

… detection of contaminants in agro-food products, … melamine levels in milk using vibrational spectroscopy LINK


Laboratory

Examining Pigmented Human Tissue using SWIR Raman Spectroscopy – AZoSensors LINK


Other

SCiO Molecular Scanner UNBOXING – Video LINK



CalibrationModel.com

Dear NIR-Spectrometer vendors, this is about how you can improve customer web-traffic | NIRS Spectrometer LINK

Efficient development of new quantitative prediction equations for multivariate NIR spectra | spectra LINK

How to Develop Chemometric Near-Infrared Spectroscopy Calibrations in the 21st Century? | NIR LINK

How to Develop Near-Infrared Spectroscopy Application Today? | pharma lab analysis chemist TechTrends LINK

Improve chemical analysis accuracy by optimized chemometric models for Near-Infra-Red (NIR) Spectroscopy LINK

Improving Accuracy, Precision and Robustness of NIR-analysis LINK

NewsLetter: Spectroscopy and Chemometrics News Weekly 46, 2015 | Molecular Spectroscopy NIRS Chemometrics Raman LINK

Pro Tip: The NIR calibration is the central key to accurate NIR measurement LINK

Services for professional Development of Near-Infrared Spectroscopy Calibration Methods | NIR Quality Testing LINK



Le procedure di calibrazione NIR – Realizzazione di curve di calibrazione NIRS spettroscopia

Do you know the effect that you prefer to try out their favorite data pretreatments in combination and often try the same wavelength selections based spectra of the visualized?

You try as six to ten combinations until one of them selects his favorite calibration model, to then continue to optimize. Since then suddenly fall to outliers, because it goes in depth, so is familiar with the data, we know now the spectra of numbers of outliers and is familiar with the extreme values.

Now, the focus is on the major components (principal components, Latent Variables, factors) and makes sure not to over-fit and under-fit not to. The whole takes a few hours and finally one is content with the model found.

So what would happen if you all in the beginning tried variants found outliers removed and re-evaluated and compared? The results would be better than that of the previous model choice? One does not try out? Because it is cumbersome and takes hours again?

We have developed a software which simplifies this so that also the number of model variations can be increased as desired. The variants generation is automated with an intelligent control system, as well as the optimization and comparing the models and finally the final selection of the best calibration model.

Our software includes all the usual known data pretreatment methods (data pre-processing) and can combine them useful. Since many Preteatments are directly dependent on the wavelength selection, such as the normalization the determined within a wavelength range of the scaling factors to normalize the spectra so that pretreatments with the wavelength ranges may be combined. So a variety of settings sensible model comes together that are all calculated and optimized. For the automatic selection of the relevant wavelength ranges, different methods are used, which are based on the spectral intensities. Thus, for example, regions with total absorption is not used, and often interfering water bands removed or retained.

Over all the calculated model variations as a summary outlier analysis can be made. Are there any new outliers (hidden outlier) discovered, all previous models can be automatically recalculated, optimized and compared without these outliers.

From this great number of calculated models with the statistical quality reviews (prediction performance) the optimum calibration can now be selected. For this purpose, not simply sorting by the prediction error (prediction error, SEP RMSEP) or the coefficient of determination (coefficient of determination r2), but by several statistical and test values are used jointly toward the final assessment of optimal calibration.

Thus we have created a platform that allows the highly automated work what a man can never do with a commercial software.

We therefore offer the largest number of matched to your application problem modeling calculations and choose the best calibration for you!

This means that our results are faster, more accurate, robust and objective basis (person independent) and quite easy for you to apply.

You have the full control of the models supplied by us, because we provide a clearly structured and detailed blueprint of the complete calibration, with all settings and parameters, with all necessary statistical characteristics and graphics.

Using this blueprint, you can adjust the quantitative calibration model itself in the software you use, understand and compare. You have everything under control form model creation, model validation and model refinement.

Your privacy is very important to us. The NIR data that you briefly provide us for the custom calibration development will remain of course your property. Your NIR data will be deleted after the job with us.

Interested, then do not hesitate to contact us.

(English) NIR Spectroscopy Calibration Report for quantitative predictive models

When you send your quantitative NIR spectra data to our NIR Calibration Model Service, you get a detailed calibration report (calibration protocol) of the found optimal calibration settings, so you are able to see all insights and easily re-build the model in your NIR/Chemometric software.

Here is a part of our calibration report, that exactly describes the data used in the calibration set (CSet), the validation set (VSet) and the test set (TSet). The numbers are the number ids of the spectra in your delivered NIR data file.


The calibration method settings and parameters are
Waveselection : the variable selection or wavenumber selection or wavelength selection
Pretreatments : the spectral data pre-processing
PCs : the number of Principal Components (PC) or Latent Variables (LV)
Method : the modeling method algorithm used, e.g. PLS

Then the statistical analysis of the PLS model by the different sets (CSet, VSet, Tset).

Calibration Report

Statistical analysis of calibration, validation and test results : 1 Name, 2 Unit, 3 N : number of spectra, 4 N : number of samples, 5 Average spectra count per sample, 6 Reference values, 7 Min, 8 Mean, 9 Median, 10 Max, 11 Standard deviation, 12 Skewness : left (-) or right (+) lack of symmetry, 13 Kurtosis : flat (-) or peaked (+) shape, 14 Model statistics, 15 RPD, 16 R², 17 RMSEC, RMSEP, RMSET : root mean square of prediction errors, 18 SEC, SEP, SET : standard error (bias corrected), 19 Bias, 20 Skewness of prediction errors, 21 Kurtosis of prediction errors, 22 Intercept, 23 Slope, 24 Intercept (reverse), 25 Slope (reverse), 26 Sample Prediction Repeatability Error, 27 Sample Prediction Repeatability Error (of Missing data MSet)

This shows how we deliver the optimal settings. With the statistical values, the NIR model predicted values of all spectra and additional plots you are able to compare with your re-built model to verify that the models perform nearly equally.

Uniqueness

We have a Chemometric software not to do chemometrics, we have a Chemometric software to build an optimal model for your data so you can get better NIR measurement results. So we don’t name it a “Chemometric Software”. It’s a service named, as that what it delivers, a Calibration Model. It gives you an optimal chemometric model for your NIR data. That is what you want to achieve. So don’t bother about Chemometrics and endless helpless possibilities and spend your time with clicking and waiting for a chemometric software, when you can get an optimal model for your data as a service! There is no lock-in. Because there is no software to install. There is no black-box. Because the model is delivered as a detailed and complete blueprint in human readable form. You stay independent. Because you can always choose: – You can still do it as you have done it before. – You will experience that the service will result in getting the better models faster and is inexpensive. It’s simple as that 1. send your data (we do not collect, share or sell your data) 2. receive your optimal model blueprint 3. build it, validate it, use it Let’s have a try please contact us, so we can help you!

NIR calibrazione Modeling (parte 2)

( to part 1 )

All the below categories are implemented by using multiple different algorithms and formulas which leads to many different calibrations.

Steps in modeling
  • Data Cleaning – (bad data, missing values, duplicate elimination, spectral quality / intensity / noise, input value typing errors, …)
  • Initial Calibration set up – selection of calibration, validation and test samples
  • Wavelengths selection
  • Data preprocessing, pretreatments
  • Method calculation
  • Choosing the number of Principal Components / Latent Variables
  • Validation of calibration model / Statistics of performance – (accuracy, precision, linearity, repeatability, range, distribution, robustness / stability, sensitivity, simplicity, etc.)
  • Outlier examination and removal


The problem of choosing the optimal number of factors to find the optimum between underfitting and overfitting is solved by having multiple methods and protocols implemented leading to multiple calibrations.

The evaluation and the selection of the best calibration is based on many individual statistical values including the most popular RMSEP, SEP, Bias, SEC, R2 and PCs etc.

Results and Reporting

A detailed calibration report is provided detailing the best available calibration containing all calibration parameter settings and statistics of prediction performance of the calibration set, the validation set and the test set. A visual expression of the calibration is provided with the most importance plots.

Our service works with any quantitative NIR spectra data set in the standard JCAMP-DX format and uses mainly PLS and PCR to be compatible with other chemometric calibration software.

Benefici

Il servizio di calibrazione NIR offre i seguenti vantaggi: Risparmiare soldi
  • Migliorando la precisione e l’affidabilità di modelli di calibrazione NIR pre-esistenti si possono aumentare le potenzialità in vari processi di produzione, nonché la garanzia di qualità.
  • Maggiore accuratezza dell’analisi assicura un miglior controllo del processo produttivo, flusso di processo ottimale e meno scarti di produzione.
  • Velocità e poco costo per creare modelli di calibrazione professionali.
  • Sollievo del personale.
Risparmiare tempo
  • Ripulendo i dati e aumentandone la qualità – dati mancanti, ricerca di valori anomali, dati errati (informazioni contraddittorie), rimozione di valori anomali.
  • Ricercando impostazioni ottimali dei parametri del modello NIR (set di calibrazione, selezione lunghezza d’onda, pre-trattamentidi dati, selezione fattore).
  • Calcolando diverse varianti del modello.
  • Facendo valutazioni di convalida e selezione del modello ottimale (errore, SEP, RMSEP, RMSEC, RPD, fit, R2, bias, slope, ).
  • Per il calcolo dei modelli di calibrazioni enormi.
Precisione analitica NIR
  • Maggiore affidabilità grazie alla precisione e robustezza dei modelli di calibrazione NIR.
  • Possibilità di confronto del metodo creato e quello eventualmente da acquistare.
  • Aumento della performance di accuratezza analitica quanto possibile.
  • Miglioramento della robustezza cambiando matrice e possibile derivata.
Modelli di calibrazione NIR professionali
  • Decenni di esperienza nella chemiometria per la spettroscopia NIR.
  • Su base teorica e applicata di buone tecniche e know-how.
  • Applicazione di linee guida.
  • Presenza di venditori indipendenti di software chemiometrici NIR.
  • Manutenzione equazione di taratura.
  • Migliorare la solidità del modello di predizione NIR.
  • Evitare trappole e trabocchetti della complicata chemiometria.
Risultati nel dettaglio
  • Il servizio fornisce le impostazioni di calibrazione ottimali per i vostri dati NIR.
  • È possibile avere una piena conoscenza della calibrazione NIR, in quanto vengono forniti in modo dettagliato valori statistici come indice di performance assistita e relativi grafici.
Un ulteriore aspetto dei servizi di modellazione chemiometrica.

Servizio di calibrazione NIR

Servizi e software per l’analisi dei dati e la modellazione analitica per spettroscopia.

Il servizio di calibrazione NIR fornisce lo sviluppo personalizzato di modelli quantitativi di calibrazione NIR ottimizzati in base alla banca dati NIR presente nei vostri data base e con ulteriori dati di riferimento di fornitori indipendenti di spettrofotometri NIR (NIR = spettroscopia nel vicino infrarosso) sulla base di metodi chemiometrici multivariati come la funzione di regressione Least Square (PLS, PLSR) e delle Componenti Principali (PCR).
Il modello di calibrazione NIR è determinante per l’accuratezza dell’analisi. Sono i risultati delle analisi NIR a fare la differenza.
Near-Infrared Data Modeling Calibration Service

Immaginate quante pubblicazioni e letteratura sulla spettroscopia NIR (JNIRS) e persone che si occupano di chemiometria (Journal of Chemiometrics) siano presenti.

Non avete il tempo per leggere, studiare e far pratica su questo?

Avete tutta questa conoscenza a portata di mano per avere sviluppi di calibrazione sempre aggiornati da esperti; Cosa credete sia più importante: i risultati statistici, interpretarli correttamente, analizzare i grafici accuratamente e applicare tutti i consigli e i trucchi per ottimizzare correttamente i metodi di calibrazione?

Noi abbiamo la soluzione per voi!

Vi aiuteremo a creare e ottimizzare le tarature. Volete il controllo completo?

Avrete la vostra taratura, con il nostro aiuto, sotto controllo.

È possibile visualizzare la calibrazione completa di tutte le impostazioni fino al più piccolo dettaglio precisamente documentato e visualizzato.

È possibile apportare modifiche alle impostazioni; questo significa che rimangono indipendenti e avrere sempre il controllo di questo. Vi aiuteremo per la parte di tempo impiegato e l’intensità di conoscenza.

È possibile ottenere la migliore soluzione di calibrazione per Voi. Prova e vedere di persona