scholarly journals Calibration transfer for bioprocess Raman monitoring using Kennard Stone piecewise direct standardization and multivariate algorithms

2020 ◽  
Vol 2 (11) ◽  
Author(s):  
Laure Pétillot ◽  
Fiona Pewny ◽  
Martin Wolf ◽  
Célia Sanchez ◽  
Fabrice Thomas ◽  
...  
Keyword(s):  
Calibration Transfer ◽  
Direct Standardization

Calibration transfer across near infrared spectrometers for measuring hematocrit in the blood of grazing cattle

2017 ◽  
Vol 25 (1) ◽  
pp. 15-25 ◽  
Author(s):  
Xuan Luo ◽  
Akifumi Ikehata ◽  
Kunio Sashida ◽  
Shanji Piao ◽  
Tsutomu Okura ◽  
...  
Keyword(s):  
Latent Variables ◽  
Near Infrared ◽  
Least Squares Regression ◽  
Calibration Transfer ◽  
Grazing Cattle ◽  
Robust Model ◽  
Infrared Spectrometer ◽  
Near Infrared Spectrometer ◽  
Direct Standardization

For fast diagnosis of anemia for cattle farmed on pastures, portable short wavelength near infrared spectrometer instrument was built, and the feasibility of estimating hematocrit by partial least squares regression modeling was validated in our previous work. As a follow-up, the present study reports calibration transfer from one master instrument to two slave instruments. Different approaches, i.e. making robust models, skew and bias correction, and piecewise direct standardization, were compared. Our results show that making more use of simple models based on appropriate preprocessing, number of latent variables, and wavelength selection, can sometimes be as effective as applying standardization algorithm (e.g. piecewise direct standardization) when tackling the spectral differences between instruments. The importance of a robust model during the process of calibration transfer is shown. Application of standardization such as piecewise direct standardization could be risky when the model to be transferred is not robust enough.

scholarly journals Support Vector Machine Regression for Calibration Transfer between Electronic Noses Dedicated to Air Pollution Monitoring

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3716 ◽  
Author(s):  
Rachid Laref ◽  
Etienne Losson ◽  
Alexandre Sava ◽  
Maryam Siadat
Keyword(s):  
Air Pollution ◽  
Support Vector Machine ◽  
Pollution Monitoring ◽  
Support Vector ◽  
Support Vector Machine Regression ◽  
Calibration Transfer ◽  
Good Efficiency ◽  
Electronic Noses ◽  
Air Pollution Monitoring ◽  
Direct Standardization

Recently, the emergence of low-cost sensors have allowed electronic noses to be considered for densifying the actual air pollution monitoring networks in urban areas. Electronic noses are affected by changes in environmental conditions and sensor drifts over time. Therefore, they need to be calibrated periodically and also individually because the characteristics of identical sensors are slightly different. For these reasons, the calibration process has become very expensive and time consuming. To cope with these drawbacks, calibration transfer between systems constitutes a satisfactory alternative. Among them, direct standardization shows good efficiency for calibration transfer. In this paper, we propose to improve this method by using kernel SPXY (sample set partitioning based on joint x-y distances) for data selection and support vector machine regression to match between electronic noses. The calibration transfer approach introduced in this paper was tested using two identical electronic noses dedicated to monitoring nitrogen dioxide. Experimental results show that our method gave the highest efficiency compared to classical direct standardization.

scholarly journals Calibration transfer for bioprocess Raman monitoring using Kennard Stone Piecewise Direct Standardization and multivariate algorithms

Authorea ◽  
2020 ◽  
Author(s):  
Laure P tillot ◽  
Fiona Pewny ◽  
Martin Wolf ◽  
C lia Sanchez ◽  
Fabrice Thomas ◽  
...  
Keyword(s):  
Calibration Transfer ◽  
Direct Standardization

Calibration Transfer from Sample Cell to Fiber-Optic Probe

1997 ◽  
Vol 51 (5) ◽  
pp. 744-748 ◽  
Author(s):  
Chi-Shi Chen ◽  
Chris W. Brown ◽  
Su-Chin Lo
Keyword(s):  
Fiber Optic ◽  
Transformation Matrix ◽  
Calibration Model ◽  
Fourier Domain ◽  
Fiber Optic Probe ◽  
Calibration Transfer ◽  
Dc Offset ◽  
Transfer Method ◽  
Optic Probe ◽  
Direct Standardization

A calibration transfer method, piecewise direct standardization (PDS), was applied to a set of two-component samples measured on the same UV-visible spectrometer with the use of a cuvette cell with a 10-mm pathlength and a fiber-optic probe with a 2-mm pathlength. Piecewise direct standardization proceeds by determining a structured transformation matrix using the spectra of a few samples measured with both devices. This transformation matrix can then be used to transform any spectrum measured on one device to that obtained on another device, thereby making the calibration model transferable between devices. We used the spectra measured in a cuvette as the standard set and transferred the calibration model obtained for these spectra to spectra measured with a 2-mm fiber-optic probe on the same instrument. The total standard error of prediction (SEP) for the fiber-optic probe was 5.84 before the calibration transfer and 1.87 afterwards. Spectra were also processed by taking the Fourier transform prior to the calibration transfer. The 512 data points in each spectrum were compressed to 32 terms, starting with the first term after the dc offset. This processing reduced the background and the noise. As a consequence, in the Fourier domain, the total SEP was 5.69 before the calibration standardization and 0.79 after the calibration standardization. A calibration transfer was also performed between two fiber-optic probes; the total SEP in the spectral domain was 2.16 prior to the transfer and 1.04 after the transfer, whereas in the Fourier domain the SEP was 1.50 prior to the transfer and 0.77 after the transfer.

scholarly journals Calibration Transfer of Soil Total Carbon and Total Nitrogen between Two Different Types of Soils Based on Visible-Near-Infrared Reflectance Spectroscopy

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Xue-Ying Li ◽  
Yan Liu ◽  
Mei-Rong Lv ◽  
Yan Zou ◽  
Ping-Ping Fan
Keyword(s):  
Near Infrared ◽  
Correction Method ◽  
Reflectance Spectroscopy ◽  
Total Carbon ◽  
Near Infrared Reflectance ◽  
Calibration Transfer ◽  
Different Types ◽  
Model Sharing ◽  
Relative Errors ◽  
Direct Standardization

Although visible-near-infrared spectroscopy can rapidly and accurately determine soil nutrients without sample destruction, some problems remain unresolved, such as the mismatch of the established spectral model with different types of samples, limiting the wide application of this technology. Here, we took riverside and mountain soils as examples to explore the calibration transfer between two different types of soils by the WMPDS-S/B algorithm (wavelet multiscale piecewise direct standardization combined with Slope/Bias correction method) and by adding new samples. The predicted TN and TC concentrations improved significantly after being transformed. Compared with adding new samples, the WMPDS-S/B algorithm obtained more accurate results. The average relative errors dropped from 440.2% (without transformation) to approximately 6% for TN and from 342.0% to approximately 7% for TC. The maximum relative errors were reduced from 538.1% to less than 20% for TN and from 403.7% to less than 20% for TC. The RMSEP decreased from 2.42 to approximately 0.04 for TN and from 15.74 to approximately 0.4 for TC. The WMPDS-S/B algorithm had advantages in selecting fewer known samples and obtaining better prediction results. In contrast to past studies, which resolved the calibration transfer between different spectrometers and the measurement environment for the same samples, our study resolved the calibration transfer between different types of samples under the same spectrometer and the measurement environment. The former could only be used for correction among instruments, while the latter fundamentally solved the problem of model sharing across different samples.

scholarly journals Calibration transfer and drift counteraction in chemical sensor arrays using Direct Standardization

2016 ◽  
Vol 236 ◽  
pp. 1044-1053 ◽  
Author(s):  
J. Fonollosa ◽  
L. Fernández ◽  
A. Gutiérrez-Gálvez ◽  
R. Huerta ◽  
S. Marco
Keyword(s):  
Chemical Sensor ◽  
Sensor Arrays ◽  
Calibration Transfer ◽  
Direct Standardization

scholarly journals Modular Breath Analyzer (MBA): Introduction of a Breath Analyzer Platform Based on an Innovative and Unique, Modular eNose Concept for Breath Diagnostics and Utilization of Calibration Transfer Methods in Breath Analysis Studies

Molecules ◽  
2021 ◽  
Vol 26 (12) ◽  
pp. 3776
Author(s):  
Carsten Jaeschke ◽  
Marta Padilla ◽  
Johannes Glöckler ◽  
Inese Polaka ◽  
Martins Leja ◽  
...  
Keyword(s):  
Real Life ◽  
Sensor Arrays ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Calibration Transfer ◽  
Early Disease Detection ◽  
Exhaled Breath Analysis ◽  
Breath Analyzer ◽  
Analysis Experiment ◽  
Before And After

Exhaled breath analysis for early disease detection may provide a convenient method for painless and non-invasive diagnosis. In this work, a novel, compact and easy-to-use breath analyzer platform with a modular sensing chamber and direct breath sampling unit is presented. The developed analyzer system comprises a compact, low volume, temperature-controlled sensing chamber in three modules that can host any type of resistive gas sensor arrays. Furthermore, in this study three modular breath analyzers are explicitly tested for reproducibility in a real-life breath analysis experiment with several calibration transfer (CT) techniques using transfer samples from the experiment. The experiment consists of classifying breath samples from 15 subjects before and after eating a specific meal using three instruments. We investigate the possibility to transfer calibration models across instruments using transfer samples from the experiment under study, since representative samples of human breath at some conditions are difficult to simulate in a laboratory. For example, exhaled breath from subjects suffering from a disease for which the biomarkers are mostly unknown. Results show that many transfer samples of all the classes under study (in our case meal/no meal) are needed, although some CT methods present reasonably good results with only one class.

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