Low-Content Quantification in Powders Using Raman Spectroscopy:..Chemometric Approach to Sub 0.1% Limits of Detection LINK Check out this SSPC publication! Low-content quantification in powders using Raman spectroscopy LINK Feasibility Study for Transforming Spectral and Instrumental Artifacts for MultivariateCalibrationMaintenanceLINK ICA-Based Algorithm for Automatic Identification of RamanSpectra Applied to Artistic Pigments and Pigment Mixtures LINK Optimization of NIR spectroscopy based PLSR models for critical properties of vegetable oils in biodiesel production LINK Using iSPA-PLS and NIR spectroscopy for determination of total polyphenols and moisture in commercial tea samples LINK
Broadband near-infrared spectroscopy of organic molecules on compact photonic devices LINK NIR-Online-Systeme eröffnen neue Dimensionen der Qualitätskontrolle im Mischfutterwerk … LINK Novel method to correct for wood MOE ultrasonics and NIRS measurements on increment cores in Liquidambar styraciflua LINK Texas Instruments announces industry’s first fully programmable MEMS chipset f/ NIR analysis LINK Forearm Deoxyhemoglobin and Deoxymyoglobin (Deoxy[Hb + Mb]) Measured by Near-Infrared Spectroscopy (NIRS) LINK Determination of Copper & Zinc Pollutants in Ludwigia prostrata Roxb Using Near-Infrared Reflectance Spectroscopy LINK
Using Raman spectroscopy to characterise dental caries LINK Global raman spectroscopy industry research report for 2015 just published – WhaTech LINK Continuous Temperature-Dependent Raman Spectroscopy of Melamine and Structural Analog Detection in Milk Powder LINK
New Handheld Analyzer Combines FTIR and Raman Technologies – Thermo Scientific Gemini LINK First and only handheld integrated Raman and FTIR instrument – Thermo Scientific Gemini LINK How Rebellion Photonics built a business on gas fumes | HyperspectralLINK Making a traditional miniature spectrometer smaller. Spark-VIS from LINK Bruker’s NEW BRAVO – Handheld RamanSpectrometerLINK Spectroscopy: Shrinking spectrometers permit novel applications. LINK Live Demo of Bruker’s New HTS-250 FT-NIR Auto Sampling System LINK Bruker Launches New BRAVO Handheld Raman Spectrometer for Raw Materials Identification LINK
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9 Reasons why near-infrared Spectroscopy Applications need periodic Calibration Maintenance! LINK Development of quantitative Multivariate Prediction Models for Near InfraredSpectrometers | NIRSNIRSWIRHSILINK Do you use Molecular Spectroscopy with Multivariate Regression Models? TimeSaver | … LINK Do you use a near-infrared Spectrometer with Chemometric Methods? This will save you time NIRNIRSSWIRNITLINK Easy NIR Spectroscopy Calibration LINK Efficient development of new quantitative prediction equations for multivariate data like NIR spectra | spectrumLINK Efficient development of new quantitative prediction equations for multivariate data like NIRS spectra | AgTechLINK Erstellung und Optimierung von chemometrischen Auswertemethoden für NIR Spektrometer | nearIRLabornahinfrarotNIRLINK Improve Accuracy of fast NondestructiveNIR Measurements by Optimal Calibration | foodqualityagtechLabbiotechLINK Improve Accuracy of fast Nondestructive NIR Measurements by Optimal Calibration | FoodFeedFoodSafetymillsLabLINK Increase Profit with optimized NIR Accuracy QCQAFoodFeedMilkProductionlaboratorypautoprocessLINK Increase Profit with optimized NIR Spectrometer Accuracy measurequalitycontrolparametersanalyzediagnosticsLINK Increase Your Profit with optimized NIR Spectroscopy AnalysisProcessControlMonitoringLINK Increase Your Profit with optimized NIR Accuracy LaboratoryQCQAFoodFeedAquaculturepetfoodgrainmilkLINK It is very unlikely for a tweet on “Chemometrics” to be retweeted. LINK News: Chemiometria e Spettroscopia Weekly News 10, 2015 | NIRSSpettroscopiaChemiometrianewsLINK News: Chemometrics and Spectroscopy News Weekly 10, 2015 | … NIRSSpectroscopyChemometricsnewsPittcon15LINK News: Chemometrie und Spektroskopie Neuigkeiten Wöchentlich 10, 2015 | NIRSSpektroskopieChemometrienewsLINK Pro Tip: Die NIR-Kalibrierung ist der zentrale Schlüssel zur genauen NIR Messung LINK Quantitatⅳe Analytical NIR Method Development Serⅵce 4 Quality Control Laboratory&Analytical Laboratories 4 Food QAQC LINK Service für Professionelle Entwicklung von NIR-Kalibrierungen | NIRSNearInfraredSpektroskopieNahInfraRotLINK Services for Professional Development of NIR Calibrations | NIRSNear-Infrared-SpectroscopyQAQCLaboratoryLINK Successful Application Development with NIR spectroscopy for quantitativedeterminationLINK WHITEPAPER: KnowledgebasedChemometric Software for NIR Calibration Modeling | NIRSLINK free WHITEPAPER: A Novel knowledgebasedChemometric Software for quantitativeNIR Calibration Modeling | NIRSLINK
Calibration modeling is a complex and very important part of NIR spectroscopy, especially for quantitative analysis. If the model is badly designed the best instrument precision and highest data quality does not help getting good and robust measurement results. And NIR Spectroscopy requires periodically recalibration and validation.
How are NIR models built today?
In a typical usage in industry, a single person is responsible to develop the models (see survey). He or she uses a Chemometric software that has a click-and-wait working process to adjust all the possible settings for the used algorithms in dialogs and wait for calculations and graphics and then to think about the next modeling steps and the time is limited to do so. Do we expect to find the best use-able or optimal model that way? How to develop near-infrared spectroscopy calibrations in the 21st Century?
Why not put all the knowledge a good model builder is using into software and let the machines do the possibilities of calculations and presenting the result? Designing the software that way, that the domain knowledge is built-in, not just only the algorithms for machine learning and make it possible to scale the calculations to multi-core computers and up to cloud servers. Extend the Chemometric Software with the Domain Knowledge and make as much computer power available as needed.
As it was since the beginning
User → Chemometric Software → one Computer → some results to choose from
==> User’stime needed to click-and-wait for creating results
User → (Domain Knowledge → automatized Chemometric Software) → many Computers → the best models
==> User’s time used to study the best modelsandreasoning about his product / process
Note that the “Domain Knowledge” here does perfectly support the User’s product and process knowledge to get the things done right and efficient.
Scaling at three layers
Knowledge : use the domain knowledge to drive the Chemometric Software
Chemometric Software : support many machine learning algorithms and data pre-processings and make it automatic
Computer : support multi-core calculations and scale it to the cloud
The hard part in doing this, is of course the aggregation of the needed domain knowledge and transform it into software. The Domain Knowledge for building Chemometric NIR Spectroscopic models is well known and it’s huge and spreads multiple disciplines. Knowledge-driven software for computing helps to find the gold needle in the haystacks. It’s all about scaling that makes it possible. See Proof of Concept.
NIR users can get help working more efficient and getting better models.
New types of applications for NIR can be discovered.
Evaluation of NIR Applications to replace conventional analytical methods.
Hopeless calibrations development efforts can be re-started.
Higher model accuracy and robustness can be delivered.
Automate the experimental data part of your application study.
Person independent optimization will show new solutions, because it’s not limited by a single mindset => combining all the aggregated knowledge and its combinations.
Software independent optimization will show new solutions, because none of vendor specific limitations and missing algorithms are present => combining all open available algorithms and there permutations.
Computing service is included.
Contact us for trial
Your NIR data is modeled by thousands of different useful calibration models and you get the best of them! That was not possible before in such a easy and fast way! See How it works
Summary of the NIR Chemometric survey polls (as of end of Sept. 2013)
The interesting finding is that most of the answers fit the following pattern. The most companies that use NIR have one NIR Instrument and only one employee that is able to develop NIR calibrations. For that the most common off-the-shelf chemometrics program is used and spent 2 hours or over a month and therefore gets no calibration training about the complex topics like Chemometrics and NIR Spectroscopy or only once (introduction). The calibration maintenance ranges from never to 3 times a year. Interestingly, there was no one who uses portable NIR instruments. We continue our surveys, for the discovery of new trends. Conclusion Seeing this picture, we think that there is huge potential to improve the calibrations. Advanced knowledge can help individuals to build the calibrations with best practices and improve their models accuracy and reliability. Once the decision and investment in NIR technology is done, you should get the best out of your data, because this extra NIR performance can be given by calibration optimization. We offer this as an easy to use and independent service.