Application worx G2 is a chemometric software package
that is designed for calibration development in the field of NIR spectroscopy.
AWX is used to predict chemical characteristics of the near-infrared (NIR) spectrum of a sample.
Usually vast knowledge and expertise is required to calculate a calibration model based on spectral data of well-known reference samples using chemometrics. Differing from similar software, Application worx G2 is well structured, guides the user through all steps and emphasises the work flow. Well-arranged wizard windows give comprehensive assistance and thus even allow the layman to develop a calibration utilising multiple linear regression (MLR) or partial least squares regression (PLSR).
Throughout the calibration development process with Application worx G2, it is not only possible to choose the automated option to improve the calibration model but also is possible for experts to incorporate invaluable experience into the calibration development. The processed spectra can be simultaneously visualized and some obvious abnormal spectra can be excluded from the model calculation immediately. The spectra used for calculation can also be saved as a new batch for improvement of the models in the future.
Multiple PLSR models with different combination of pretreatments can be parallel calculated. User can easily compare them and choose the best model.
Application worx G2 compiles an application with calibrations for various properties of the product. The properties of the spectral data obtained from the NIR spectrometers can be predicted by using these applications.
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Key features
A few things you should know about Application worx
Slide
Clearly structured user interface
Easy spectra import from instrument files or JCAMP-DX
Visualize the spectra
Chemical reference values can be imported from csv file and edited manually
Data storage using MySQL database (local pc or intranet/internet)
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Data storage using MySQL database (local pc or intranet/internet
1
Clearly structured user interface
Easy spectra import from instrument files or JCAMP-DX
Visualize the spectra
Chemical reference values can be imported from csv file and edited manually
Data storage using MySQL database (local pc or intranet/internet)
Slide
Wizard guided set-up for MLR, PLSR and manual calibration
Trimming of reference value range
Full combination search for MLR
Professional guide for PLSR
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Full combination search for MLR
Professional guide for PLSR
Wizard guided set-up for MLR, PLSR and manual calibration
Trimming of reference value range
Full combination search for MLR
Professional guide for PLSR
Slide
Multiple batches can be combined
Select property
Skip or add samples
Simultaneously visualize the processed data
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3
Skip or add samples
Simultaneously visualize the processed data
Multiple batches can be combined
Select property
Skip or add samples
Simultaneously visualize the processed data
Slide
Many data pre-treatments available, e.g. Savitzky-Golay smoothing, MSC, SNV, Derivatives.
Easily change the parameter(s) of pre-treatment
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Easily change the parameter(s) of pre-treatment
4
Many data pre-treatments available, e.g. Savitzky-Golay smoothing, MSC, SNV, Derivatives.
Easily change the parameter(s) of pre-treatment
Slide
Add as many model as you want
Best results are automatically selected with important statistical values
Model can be easily modified
View the details of the model and improve the model
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5
View the details of the model and improve the model
Add as many model as you want
Best results are automatically selected with important statistical values
Model can be easily modified
View the details of the model and improve the model
Slide
Statistics support user to choose optimal models
All statistical information (e.g. RMSE, RMSEP, R2, offset, slope )
Used and skipped samples
Regression with automatically detected outliers
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Regression with automatically detected outliers
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Statistics support user to choose optimal models
All statistical information (e.g. RMSE, RMSEP, R2, offset, slope )
Used and skipped samples
Regression with automatically detected outliers
Slide
Plot of residuals against reference values
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Plot of residuals against reference values
Slide
Best model is automatically selected according to statistical values
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8
Best model is automatically selected according to statistical values
Slide
Histogram of sample distribution enables improvement of reference data pool
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Histogram of sample distribution enables improvement of reference data pool
Slide
Plot of regression coefficients against wavelengths helps to judge the performance of the model
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Plot of regression coefficients against wavelengths helps to judge the performance of the model
Slide
Fast automated calibration improvement by means of outlier detection
Different types of outlier are detected
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Different types of outlier are detecte
Fast automated calibration improvement by means of outlier detection
Slide
The expert can utilise outlier statistics to improve the model individually Mark outliers and recalculate the model
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The expert can utilise outlier statistics to improve the model individually Mark outliers and recalculate the model
Slide
Processed spectra can be overlaid with regression coefficients
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Processed spectra can be overlaid with regression coefficients
Slide
Full history of calibration iteration available
Easy switchback to previous models
Save the final best model in database
Produce report of the model
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Full history of calibration iteration available Easy switchback to previous models Save the final best model in database Produce report of the model
Technical data
System requirements
MS Windows 10 or 11
Scope of delivery
AWX installation and help files. Registry software online
Instrument compatibility
All SpectraAlyzer instruments (GRAIN, BRAUMEISTER, CLINICAL, DAIRY, FLEX, FLOUR, FOOD, MEAT, OLIVE, SPIRITS, SUGAR, TEXTILE, WINE, MIA and etc.), Brabender Kernelyzer and Oliveas Gold 2
Software features
Administration spectral and chemical reference data, calibration development, calibration adjustment and application composition.
Clearly structured user interface.
Easy spectra import from instrument files.
Easy chemical reference values import from csv file.
Data storage using MySQL database (local pc or intranet/internet).
Model calculation utilising MLR or PLSR or create manually.
Wizard guided calibration set-up.
Different data pretreatments available in PLSR models.
Visualization of the processed spectra.
Parallel calculate multiple PLSR models and directly compare the models.
Best results are automatically selected for each factor.
Statistics support user to choose optimal model.
Utilise outlier statistics to improve the model individually.
Full history of calibration iteration available.
Recalculate existing calibration models by using or by adding new batches.
Easily adjust existing calibration models.
Directly export calibration models for different types of instrument.
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Essencis Technologies
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Nairobi, Kenya
T: 254-20-6537709/10, Wireless: 020-2672236,
Phone: 0786 267223 sales@esteckenya.com www.esteckenya.com
Shangi Instruments Co. Ltd.
1-3-1101 Victorious City
No. 66 Nan Shatan, Da Tun Road,
Chao Yang District
Beijing – 100101
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Phone: +86-(0)13911207209 dengping@centecchina.com www.centec.de
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3/F, building 102,
Mianyang Export Processing Zone,
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ESTEC LTD
West 1 Building 4th Floor,
Corner Of Wambugu Grove Off Parklands Road
P.O. BOX 12143 – 00400,
Nairobi, Kenya
T: 254-20-6537709/10, Wireless: 020-2672236,
Phone: 0786 267223
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Ngaio Diagnostics Limited
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Post Box 4015
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New Zealand, Oceania
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Digital Medical Systems Ltd.
299, Elephant Road | Peer Sons Tower (4th Floor),
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Phone: +88-02-58614252 inquiry@dmslbd.com www.dmslbd.com
LAB International LLP
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