Proof of Concept and WorkProof of Concept and WorkProof of Concept and Work

In 2021 we automatically calibrated Mango DM with RMSEP = 0.7247 with our software
that performs better than the one in an research paper that states :
  • “Readers are encouraged to use this big data set and produce innovative ideas and algorithms to achieve RMSEP better than 0.79%.”
See Mango DM – dry matter prediction in mango fruit with near-infrared (NIR) spectroscopy



Chemometric software competitions (aka shootouts) are a good way to check algorithms, software and knowledge against all other experts in the field.

Imagine that the prediction results can be produced with any kind of software and newest algorithms.

And we just use PLS right to generate models that can be used on all NIR software systems, because PLS is a quasi standard, supported in all major chemometrics software.

Our software framework reached very good results, got gold (rank #1) and silver (rank #2) during well known international NIR Chemometric software shootouts* so far, the competitions are held bi-annual.

Rank / competitors  Competition / Conference  Year
 #1 / 1  **  Kaji / ANSIG  2014
 #1 / 150  Kaji / ANSIG  2012
 #2 / ???  IDRC / IDRC  2012
The Kaji Competition

A set of NIR spectral data will be available for downloading from the ANISG website and contestants will be asked to find and explain a "best" chemometric model to robustly predict samples of the same type.
A panel will select the three "best" entries based on the predicted results and spectroscopic explanation of the products and attributes of interest. 

http://www.anisg.com.au/the-kaji-competition


The IDRC Competition

The Software Shootout has been a staple of the IDRC. It is a competition amongst participants of the conference that aims at determining the person who developed the best model and obtained the lowest prediction error for a particular problem.
Every IDRC, a new challenge is proposed to participants. The challenge consists of a data set with calibration, test and a validation set.
Participants are given target values for the calibration and test sets but must do their best to develop a model that will predict the validation set as accurately and precisely as possible. Challenges from all sorts of fields of NIRS have been used (agriculture, biomedical, pharmaceutical, soil, …).

IDRC


*) The author was unable to present the results at the conferences, so this ranking was not official but confirmed by the shootout organizers. Thanks go to Benoit Igne, IDRC 2012 shootout organizer and Steve Holroyd, Kaji Competition organizer at ANISG Conference 2012.  

Conclusion

Our chemometric software framework can significantly reduce the time spent for NIR method development and fine optimization. The time saving can be achieved through highly automated experiments and the usage of cloud computing. Calibrations are built and evaluated using automated good practices protocols resulting in useful, precise and robust Calibrations. The high number of experiments enables a deep screening of the solution domain to find the optimum calibration settings, something currently unavailable in standard chemometric software.

**) We were the only participator that got the 4 competition tasks (4-times more than usual) completed in that short time and submitted the fully documented results. After the competition, the information was given, that the data was originated from forages and the constituents were dry matter, organic matter digestibility, protein and ash. Thanks go to Daniel Cozzolino, Kaji 2014 Competition organizer.

In 2021 we automatically calibrated Mango DM with RMSEP = 0.7247 with our software
that performs better than the one in an research paper that states :
  • “Readers are encouraged to use this big data set and produce innovative ideas and algorithms to achieve RMSEP better than 0.79%.”
See Mango DM – dry matter prediction in mango fruit with near-infrared (NIR) spectroscopy



Chemometric software competitions (aka shootouts) are a good way to check algorithms, software and knowledge against all other experts in the field.

Imagine that the prediction results can be produced with any kind of software and newest algorithms.

And we just use PLS right to generate models that can be used on all NIR software systems, because PLS is a quasi standard, supported in all major chemometrics software.

Our software framework reached very good results, got gold (rank #1) and silver (rank #2) during well known international NIR Chemometric software shootouts* so far, the competitions are held bi-annual.

Rank / competitors Competition / Conference Year
#1 / 1 ** Kaji / ANSIG 2014
#1 / 150 Kaji / ANSIG 2012
#2 / ??? IDRC / IDRC 2012
The Kaji Competition

A set of NIR spectral data will be available for downloading from the ANISG website and contestants will be asked to find and explain a "best" chemometric model to robustly predict samples of the same type.
A panel will select the three "best" entries based on the predicted results and spectroscopic explanation of the products and attributes of interest.

http://www.anisg.com.au/the-kaji-competition


The IDRC Competition

The Software Shootout has been a staple of the IDRC. It is a competition amongst participants of the conference that aims at determining the person who developed the best model and obtained the lowest prediction error for a particular problem.
Every IDRC, a new challenge is proposed to participants. The challenge consists of a data set with calibration, test and a validation set.
Participants are given target values for the calibration and test sets but must do their best to develop a model that will predict the validation set as accurately and precisely as possible. Challenges from all sorts of fields of NIRS have been used (agriculture, biomedical, pharmaceutical, soil, …).

IDRC


*) The author was unable to present the results at the conferences, so this ranking was not official but confirmed by the shootout organizers. Thanks go to Benoit Igne, IDRC 2012 shootout organizer and Steve Holroyd, Kaji Competition organizer at ANISG Conference 2012.

Conclusion

Our chemometric software framework can significantly reduce the time spent for NIR method development and fine optimization. The time saving can be achieved through highly automated experiments and the usage of cloud computing. Calibrations are built and evaluated using automated good practices protocols resulting in useful, precise and robust Calibrations. The high number of experiments enables a deep screening of the solution domain to find the optimum calibration settings, something currently unavailable in standard chemometric software.

**) We were the only participator that got the 4 competition tasks (4-times more than usual) completed in that short time and submitted the fully documented results. After the competition, the information was given, that the data was originated from forages and the constituents were dry matter, organic matter digestibility, protein and ash. Thanks go to Daniel Cozzolino, Kaji 2014 Competition organizer.

In 2021 we automatically calibrated Mango DM with RMSEP = 0.7247 with our software
that performs better than the one in an research paper that states :
  • “Readers are encouraged to use this big data set and produce innovative ideas and algorithms to achieve RMSEP better than 0.79%.”
See Mango DM – dry matter prediction in mango fruit with near-infrared (NIR) spectroscopy



Chemometric software competitions (aka shootouts) are a good way to check algorithms, software and knowledge against all other experts in the field.

Imagine that the prediction results can be produced with any kind of software and newest algorithms.

And we just use PLS right to generate models that can be used on all NIR software systems, because PLS is a quasi standard, supported in all major chemometrics software.

Our software framework reached very good results, got gold (rank #1) and silver (rank #2) during well known international NIR Chemometric software shootouts* so far, the competitions are held bi-annual.

Rank / competitors Competition / Conference Year
#1 / 1 ** Kaji / ANSIG 2014
#1 / 150 Kaji / ANSIG 2012
#2 / ??? IDRC / IDRC 2012
The Kaji Competition

A set of NIR spectral data will be available for downloading from the ANISG website and contestants will be asked to find and explain a "best" chemometric model to robustly predict samples of the same type.
A panel will select the three "best" entries based on the predicted results and spectroscopic explanation of the products and attributes of interest.

http://www.anisg.com.au/the-kaji-competition


The IDRC Competition

The Software Shootout has been a staple of the IDRC. It is a competition amongst participants of the conference that aims at determining the person who developed the best model and obtained the lowest prediction error for a particular problem.
Every IDRC, a new challenge is proposed to participants. The challenge consists of a data set with calibration, test and a validation set.
Participants are given target values for the calibration and test sets but must do their best to develop a model that will predict the validation set as accurately and precisely as possible. Challenges from all sorts of fields of NIRS have been used (agriculture, biomedical, pharmaceutical, soil, …).

IDRC


*) The author was unable to present the results at the conferences, so this ranking was not official but confirmed by the shootout organizers. Thanks go to Benoit Igne, IDRC 2012 shootout organizer and Steve Holroyd, Kaji Competition organizer at ANISG Conference 2012.

Conclusion

Our chemometric software framework can significantly reduce the time spent for NIR method development and fine optimization. The time saving can be achieved through highly automated experiments and the usage of cloud computing. Calibrations are built and evaluated using automated good practices protocols resulting in useful, precise and robust Calibrations. The high number of experiments enables a deep screening of the solution domain to find the optimum calibration settings, something currently unavailable in standard chemometric software.

**) We were the only participator that got the 4 competition tasks (4-times more than usual) completed in that short time and submitted the fully documented results. After the competition, the information was given, that the data was originated from forages and the constituents were dry matter, organic matter digestibility, protein and ash. Thanks go to Daniel Cozzolino, Kaji 2014 Competition organizer.

Posted on

Summary of the NIR Chemometric survey pollsSummary of the NIR Chemometric survey polls

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.

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.

NIR SpectroscopyNIR-Spektroskopie

chemical bondings
External Links Definition Journals Conferences Externe Links Definition Zeitschriften Konferenzen

Customized NIR CalibrationsAngepasste NIR KalibrationenTarature NIR personalizzate

Increase Your Profit with optimized NIR Accuracy


We help you to find the optimal settings for higher NIR accuracy and reliability.

You can build your own custom NIR calibration model with this valuable settings.

We offer a quantitative NIR Calibration development and optimization service.

New: free NIR-Predictor Software

White Paper about the details, what's behind.

Start Calibrate


Improve NIR Measurement Accuracy

  • going closer to your product specification limits and maximize profitability
  • optimizing your models yield to process optimization and optimizing productivity
  • compete against other NIR vendors in a feasibility study (NIR salesman)

Easy to use

  • compatible with any NIR vendor
  • no installation, no learning
  • quantitative NIR Calibration Development as a Service

Safety

  • help users avoid common pitfalls of method development
  • before you validate and approve your solution for use in production process:
    • check if a better calibration can be found,
    • compare your calibration with other experts solutions.

Speed

  • no cumbersome trial-and-error modeling steps
  • calculation time is spent on our high performance infrastructure
  • fast results, developed calibrations within days

Fix price

  • fix costs, depends only on data size (not hourly rate for service)
  • huge saving in method development costs
  • easy to plan
More benefits, for whom and where, learn more , contact

Steigern Sie Ihren Gewinn mit optimierter NIR Genauigkeit


Wir helfen Ihnen, die optimalen Einstellungen für eine höhere NIR Genauigkeit und Zuverlässigkeit zu finden.

Sie können Ihre eigenen NIR-Kalibrierungs Modelle mit diesen optimierten Einstellungen erzeugen.

Wir bieten einen quantitative NIR-Kalibrierung und Optimierungs Service.

Neu: free NIR-Predictor Software

White Paper (English) über die Details, was dahinter steckt.

Start Calibrate


NIR Messgenauigkeit Verbessern

  • näher an Ihre Produkt Spezifikationsgrenzwerte gehen und Rentabilität maximieren
  • Optimierung Ihrer Modelle ergeben eine Prozessoptimierung und Optimierung der Produktivität
  • Wettbewerb gegen andere NIR-Anbieter in einer Machbarkeitsstudie

Einfach anzuwenden

  • kompatibel mit jedem NIR Anbieter
  • keine Installation, kein Lernen
  • quantitative NIR Calibration Development as a Service

Sicherheit

  • hilft häufige Fehler bei der Methodenentwicklung zu vermeiden
  • bevor Sie Ihre Lösung validieren und freigeben für den Einsatz in der Produktion:
    • überprüfen Sie ob eine bessere Kalibrierung gefunden werden kann
    • vergleichen Sie Ihre Kalibrierung mit Lösungen anderer Experten

Geschwindigkeit

  • keine umständliche Versuch-und-Irrtum Modellierungs Schritte
  • Rechenzeit auf unseren Hochleistungs-Infrastruktur auslagern
  • schnelle Ergebnisse, Kalibrierungen innerhalb weniger Tage entwickelt

Festpreisangebote

  • Fixkosten, hängt nur von Datengröße ab (nicht Stundensatz für Service)
  • enorme Einsparung bei den Methodenentwicklungs Kosten
  • einfach zu planen
Mehr Vorteile, für wen und wo, erfahren Sie mehr, Kontakt

Increase Your Profit with optimized NIR Accuracy


We help you to find the optimal settings for higher NIR accuracy and reliability.

You can build your own custom NIR calibration model with this valuable settings.

We offer a quantitative NIR Calibration development and optimization service.

New: free NIR-Predictor Software

White Paper about the details, what's behind.

Start Calibrate


Improve NIR Measurement Accuracy

  • going closer to your product specification limits and maximize profitability
  • optimizing your models yield to process optimization and optimizing productivity
  • compete against other NIR vendors in a feasibility study (NIR salesman)

Easy to use

  • compatible with any NIR vendor
  • no installation, no learning
  • quantitative NIR Calibration Development as a Service

Safety

  • help users avoid common pitfalls of method development
  • before you validate and approve your solution for use in production process:
    • check if a better calibration can be found,
    • compare your calibration with other experts solutions.

Speed

  • no cumbersome trial-and-error modeling steps
  • calculation time is spent on our high performance infrastructure
  • fast results, developed calibrations within days

Fix price

  • fix costs, depends only on data size (not hourly rate for service)
  • huge saving in method development costs
  • easy to plan
More benefits, for whom and where, learn more , contact
Posted on

NIR Spectroscopy and Chemometric surveys, inquiry, polls and assessments (Part 3)NIR Spektroskopie und Chemometrie Umfragen, Erhebungen und Wertungen (Teil 3)Spettroscopia NIR e chemiometria sondaggi, indagini e valutazioni (Parte 3)


10. NIR in Supply Chain
Where in the supply chain are your NIR instruments located?

11. NIR Usage
How long has your company used NIR spectroscopy?

12. NIR instruments
How many NIR instrument units are in use in your company?

13. NIR Mobile
How much is the mobile hand-held percentage of total NIR devices in your company?

14. Calibration Source
How do you get the NIR Calibrations developed?

15. Calibration Training
How often do the operators get training about NIR Spectroscopy and Chemometrics?

16. NIR PreCalibrations
How many NIR Pre-Calibration, NIR factory calibrations or NIR starter calibrations have you in use?

17. Calibration Spectra
How many Spectra does your quantitative Calibration have in average?

Please vote and see the assessments below.

Part 1, Part 2
[yop_poll id="11"] [yop_poll id="12"]
[yop_poll id="13"] [yop_poll id="14"]
[yop_poll id="18"] [yop_poll id="16"]
[yop_poll id="17"] [yop_poll id="15"]

Part 1, Part 210. NIR in Supply Chain Where in the supply chain are your NIR instruments located? 11. NIR Usage How long has your company used NIR spectroscopy? 12. NIR instruments How many NIR instrument units are in use in your company? 13. NIR Mobile How much is the mobile hand-held percentage of total NIR devices in your company? 14. Calibration Source How do you get the NIR Calibrations developed? 15. Calibration Training How often do the operators get training about NIR Spectroscopy and Chemometrics? 16. NIR PreCalibrations How many NIR Pre-Calibration, NIR factory calibrations or NIR starter calibrations have you in use? 17. Calibration Spectra How many Spectra does your quantitative Calibration have in average? Please vote and see the assessments below. Part 1, Part 2
[yop_poll id="11"] [yop_poll id="12"]
[yop_poll id="13"] [yop_poll id="14"]
[yop_poll id="18"] [yop_poll id="16"]
[yop_poll id="17"] [yop_poll id="15"]
Part 1, Part 2

NIR Calibration ModelingNIR Kalibrationsentwicklung

The majority of NIR calibrations are generated using a small number of different parameter settings and all too often are restricted to the time a user has available, their spectroscopic and chemometric knowledge and their ability (tedious use of the software) to choose and combine all the possible parameter settings required for good calibrations.

There are many published standards and guidelines (protocols) available for developing NIR calibrations from Standards Consortium such as ASTM, EMEA, ICH, IUPAC, ISO, USP, PASG etc. as well as many good recommendations and guidelines found in various textbooks and papers.

The difficulty with so many ‘Protocols’ for the NIR user is to have them all available and in their thought processes during calibration work and in addition to execute, check and challenge all calibrations generated manually. This is time consuming and sometimes boring repetitive work.

To simplify this for the person generating the NIR Calibrations, we have collected the good practices protocols and integrated them into our service that automates the calibration building and evaluation procedures.

to part 2

Die Mehrheit der NIR Kalibrierungen werden unter Verwendung einer kleinen Anzahl von verschiedenen Parametereinstellungen erzeugt und allzu oft eingeschränkt durch die zu Verfügung stehende Zeit die ein Benutzer hat, deren spektroskopisches und chemometrisches Fachwissen und die Fähigkeit (mühsames bedienen der Software) alle möglichen Parametereinstellungen zu wählen und zu kombinieren, die für gute Kalibrierungen erforderlich sind.

Es gibt viele veröffentlichte Normen und Richtlinien (Protokolle) für die Entwicklung von NIR-Kalibrierungen von Normierungsbehörden wie ASTM, EMEA, ICH, IUPAC, ISO, USP, PASG etc. sowie viele gute Empfehlungen und Richtlinien die in verschiedenen Lehrbüchern und Fachbeiträgen gefunden werden können.

Die Schwierigkeit mit so vielen 'Protokollen' für den NIR Benutzer besteht darin, dass sie alle verfügbar und in ihren Denkprozessen präsent sind während der Kalibrierungs Arbeit und zusätzlich beim Ausführen, Überprüfen und Bewerten aller manuell erzeugten Kalibrierungen. Dies ist zeitaufwendig und manchmal langweilig wiederholende Arbeit.

Um dies für die Person die NIR-Kalibrierung entwickeln zu vereinfachen, haben wir die guten Praktiken Protokolle gesammelt und sie in unseren Service integriert, der die Kalibrierungs Erstellung und das Evaluierungsverfahren automatisiert.

zu Teil 2

The majority of NIR calibrations are generated using a small number of different parameter settings and all too often are restricted to the time a user has available, their spectroscopic and chemometric knowledge and their ability (tedious use of the software) to choose and combine all the possible parameter settings required for good calibrations.

There are many published standards and guidelines (protocols) available for developing NIR calibrations from Standards Consortium such as ASTM, EMEA, ICH, IUPAC, ISO, USP, PASG etc. as well as many good recommendations and guidelines found in various textbooks and papers.

The difficulty with so many ‘Protocols’ for the NIR user is to have them all available and in their thought processes during calibration work and in addition to execute, check and challenge all calibrations generated manually. This is time consuming and sometimes boring repetitive work.

To simplify this for the person generating the NIR Calibrations, we have collected the good practices protocols and integrated them into our service that automates the calibration building and evaluation procedures.

to part 2

Posted on

NIR Spectroscopy and Chemometric surveys, polls and assessments (Part 2)NIR Spektroskopie und Chemometrie Umfragen, Erhebungen und Wertungen (Teil 2)Spettroscopia NIR e chemiometria sondaggi, indagini e valutazioni (Parte 2)


5. Calibration Precision
What do you believe, can NIR calibration models be more precise than reference values?

6. Calibration Maintenance
How often do you update your quantitative calibrations per year?

7. Quantitative Calibrations
How many quantitative (%) calibrations do you have in use?

8. Quantitative Parameters
In all your quantitative calibrations, how many parameters (properties) you have in total?

9. Qualitative Calibrations
How many qualitative (identification) calibrations do you have in use?

Please vote and see the assessments below.
Part 1, Part 3
[yop_poll id="6"] [yop_poll id="7"]
[yop_poll id="8"] [yop_poll id="9"]
[yop_poll id="10"]

Part 1, Part 3

5. Calibration Precision

Was glauben Sie, können NIR-Kalibrierung Modelle genauer sein als die Referenzwerte?

6. Calibration Maintenance

Wie oft aktualisieren Sie Ihre quantitative Kalibrierungen pro Jahr?

7. Quantitative Calibrations

Wie viele quantitative (%) Kalibrierungen haben Sie im Einsatz?

8. Quantitative Parameters

In allen Ihrer quantitative Kalibrierungen, wie viele Parameter (Eigenschaften) haben Sie insgesamt?

9. Qualitative Calibrations

Wie viele qualitative (Identifikation) Kalibrierungen haben Sie im Einsatz?

Bitte stimmen Sie und sehen Sie die Einschätzungen unten.

[yop_poll id="6"] [yop_poll id="7"]
[yop_poll id="8"] [yop_poll id="9"]
[yop_poll id="10"]

Teil 1

5. Calibration Precision

What do you believe, can NIR calibration models be more precise than reference values?

6. Calibration Maintenance

How often do you update your quantitative calibrations per year?

7. Quantitative Calibrations

How many quantitative (%) calibrations do you have in use?

8. Quantitative Parameters

In all your quantitative calibrations, how many parameters (properties) you have in total?

9. Qualitative Calibrations

How many qualitative (identification) calibrations do you have in use?

Please vote and see the assessments below.

[yop_poll id="6"] [yop_poll id="7"]
[yop_poll id="8"] [yop_poll id="9"]
[yop_poll id="10"]

Part 1

Posted on

NIR Spectroscopy and Chemometric surveys, polls and assessmentsNIR Spektroskopie und Chemometrie Umfragen, Erhebungen und WertungenSpettroscopia NIR e chemiometria sondaggi, indagini e valutazioni


1. Calibration Developers
How many persons in your company are able to develop a NIR Calibration?


2. Calibration Development
How much time do you spend to develop a calibration model?


3. Chemometric Software / Spectroscopy Software
Which Chemometric Software are you using for NIR?


4. NIR Spectrometer Brand
Which NIR Spectrometer Brand do you use?


Please vote and see the assessments below.

Part 2, Part 3
[yop_poll id="5"] [yop_poll id="4"]
[yop_poll id="2"] [yop_poll id="3"]


Part 2, Part 3

1. Calibration Developers

Wie viele Personen in Ihrem Unternehmen sind in der Lage, eine NIR-Kalibrierung zu entwickeln?

2. Calibration Development

Wie viel Zeit benötigen Sie um ein Kalibrierungs Modell zu entwickeln?

3. Chemometrie Software / Spectroskopie Software

Welche Chemometrische Software verwenden Sie für NIR?

4. NIR Spectrometer Brand

Welche NIR-Spektrometer Marke verwenden Sie?

Bitte stimmen Sie und sehen Sie die Einschätzungen unten.

Teil 2

[yop_poll id="5"] [yop_poll id="4"]
[yop_poll id="2"] [yop_poll id="3"]

1. Calibration Developers

How many persons in your company are able to develop a NIR Calibration?

2. Calibration Development

How much time do you spend to develop a calibration model?

3. Chemometric Software

Which Chemometric Software are you using for NIR?

4. NIR Spectrometer Brand

Which NIR Spectrometer Brand do you use?

Please vote and see the assessments below.

[yop_poll id="5"] [yop_poll id="4"]
[yop_poll id="2"] [yop_poll id="3"]
Posted on

Potential usage of NIR analysis and its industry fields of applicationsPotenzielle Nutzung von NIR-Analyse und ihre Industriellen Einsatzgebiete

What is typically measured by NIR Analysis? NIR Calibrations are used for the determination of the content of moisture, fat, protein, starch, lactose, fructose, glucose, alcohol, amino acids, oil, sugar, fiber, salt, Brix, caffeine, lysine, ash, gluten, etc. Where is near-infrared spectroscopy analysis used? NIR Analysis used in the industry area of
  • Agriculture
  • Food and Feed
  • Food and Beverages
  • Food and Dairy
  • Malt houses and breweries
  • Milling and Bakery
  • Flour, Grain milling and oils
  • Sugar
  • Feed Ingredients
  • Edible Oils
  • Meats
  • Animal feed
  • Aqua Feed
  • Pet Food and Animal Proteins
  • Dried and Wet Forage
  • Beverage and Biofuels
  • Chemical and Pharma
  • Pharmaceuticals
  • Pulp and Paper
  • Petro
  • Oil and Gas
  • Plastics
  • Polymers
  • Textiles
  • Packaging
  • Environmental
  • Forensics
  • Academia
  • Cosmetics
  • Health care

Was wird typischerweise durch NIR-Analyse gemessen?

NIR Kalibration werden angewandt zur Bestimmung des Gehaltes von

Feuchtigkeit, Fett, Protein, Stärke, Lactose, Fructose, Glucose, Alkohol, Aminosäuren, Öl, Zucker, Fasern, Salz, Brix, Koffein, Lysin, Asche, Gluten usw.

Wo wird Nahinfrarot-Spektroskopie-Analyse verwendet?

NIR-Analyse wird verwendet in den den Industriezweigen / Branchen

  • Landwirtschaft
  • Lebens-und Futtermittel
  • Speisen und Getränke
  • Lebensmittel und Molkereiprodukte
  • Mälzereien und Brauereien
  • Müllerei und Backwaren
  • Mehl, Getreide Müllerei und Öle
  • Zucker und Süsswaren
  • Futtermittelzusatzstoff
  • Speiseöle
  • Fleisch
  • Tierfutter
  • Aqua Feed
  • Pet Food und tierischen Proteinen
  • Getrocknete und Wet Forage
  • Getränke-und Biokraftstoffe
  • Chemie und Pharma
  • Pharmaceuticals
  • Zellstoff und Papier
  • Petro
  • Öl und Gas
  • Plastics
  • Polymers
  • Textilien
  • Verpackung
  • Umwelt
  • Forensics
  • Akademie
  • Kosmetika
  • Gesundheitspflege

Posted on

What is a NIR calibration used for?Wozu wird eine NIR-Kalibrierung verwendet?

NIR calibrations are used for NIR contents analysis as a productive analytical method. That is a two step procedure.
  1. A NIR analyzer does a non-destructive optical scan of a sample that yields a measured spectrum in seconds.
  2. A NIR calibration model can quantitatively predict (analyze, determine, estimate) multiple constituents, ingredients, contents, analytes, assay, API and other parameters and attributes (chemical, physical, biological, biochemical, sensory) summarized as properties, out of a single spectrum in milli seconds.
The NIR analysis is a very fast non-destructive analysis method that can replace or backup slower methods like wet chemical analysis, chemistry laboratory, sensory panels or rheology (viscosity). Or a NIR calibration can open the door to new possibilities of analytics, quality assurance and process control, by developing calibration models for parameters that seems to be impossible, because they are based on human knowledge, empirical values or sensory like taste value. If you have an NIR instrument, you can measure your samples systematically and thus develop your own calibration models.

NIR Kalibrationen werden zur NIR Inhaltsanalyse als produktive analytische Methode verwendet. Das ist ein zweistufiges Verfahren.

  • Erstens wird mit einem NIR-Spektrometer eine zerstörungsfreie optische Abtastung einer Probe vorgenommen, das ein gemessenes Spektrum innert Sekunden liefert.
  • Zweitens kann ein NIR-Kalibrierungs Modell eine quantitative Vorhersage (analysieren, bestimmen, schätzen) von mehreren Bestandteilen, Inhaltsstoffen, Inhalten, Analyten, Assay, API und andere Parameter und Attribute (chemische, physikalische, biologische, biochemische, sensorisch) zusammengefasst Eigenschaften, aus einem einzigen Spektrum innert Millisekunden liefern.

Die NIR-Analyse ist eine sehr schnelle, zerstörungsfreie Analyse-Methode, die

ein Ersatz oder Ergänzung langsamer Methoden sein kann, wie nasschemische Analyse, Chemielabor, sensorischen Panels oder Rheologie (Viskosität).

Oder eine NIR Kalibration öffnet die Tür zu neuen Möglichkeiten der Analytik, Qualitätssicherung und Prozesskontrolle, durch die neu Entwicklung von Kalibrationsmodellen für Parameter die unmöglich scheinen, weil sie auf die menschliche Wissen, Erfahrungswerten oder sensorische, wie Geschmack Bewertung beruhen.

Wenn Sie eine NIR-Instrument besitzen, dann können Sie Ihre Proben systematisch vermessen und damit Ihre eigene Kalibrierung Modelle entwickeln.