scholarly journals Correction to Calibration Transfer for LED-Based Optical Multisensor Systems

ACS Sensors ◽  
2021 ◽  
Author(s):  
Anastasiia Surkova ◽  
Andrey Bogomolov ◽  
Andrey Legin ◽  
Dmitry Kirsanov
Keyword(s):  
Calibration Transfer ◽  
Multisensor Systems

Calibration Transfer for LED-Based Optical Multisensor Systems

ACS Sensors ◽  
2020 ◽  
Vol 5 (8) ◽  
pp. 2587-2595
Author(s):  
Anastasiia Surkova ◽  
Andrey Bogomolov ◽  
Andrey Legin ◽  
Dmitry Kirsanov
Keyword(s):  
Calibration Transfer ◽  
Multisensor Systems

scholarly journals Multivariate calibration transfer between two different types of multisensor systems

2017 ◽  
Vol 246 ◽  
pp. 994-1000 ◽  
Author(s):  
Maria Khaydukova ◽  
Cristina Medina-Plaza ◽  
Maria Luz Rodriguez-Mendez ◽  
Vitaly Panchuk ◽  
Dmitry Kirsanov ◽  
...  
Keyword(s):  
Multivariate Calibration ◽  
Calibration Transfer ◽  
Multisensor Systems ◽  
Different Types

Multivariate Calibration Transfer between two Potentiometric Multisensor Systems

2017 ◽  
Vol 29 (9) ◽  
pp. 2161-2166 ◽  
Author(s):  
Maria Khaydukova ◽  
Vitaly Panchuk ◽  
Dmitry Kirsanov ◽  
Andrey Legin
Keyword(s):  
Multivariate Calibration ◽  
Calibration Transfer ◽  
Multisensor Systems

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.

Software for optimization of optoelectronics multisensor systems characteristics

1993 ◽  
Author(s):  
Larissa A. Mirzoeva ◽  
Alexey M. Belousov ◽  
Eugene J. Merzlutin ◽  
Sergey G. Chekin
Keyword(s):  
Multisensor Systems

Calibration Transfer between Miniature Photodiode Array-Based Spectrometers in the near Infrared Assessment of Mandarin Soluble Solids Content

2002 ◽  
Vol 10 (1) ◽  
pp. 27-35 ◽  
Author(s):  
C.V. Greensill ◽  
K.B. Walsh
Keyword(s):  
Near Infrared ◽  
Model Updating ◽  
Soluble Solids ◽  
Soluble Solid Content ◽  
Calibration Model ◽  
Calibration Transfer ◽  
Orthogonal Signal Correction ◽  
Significant Difference ◽  
Photodiode Array ◽  
Direct Standardisation

The transfer of predictive models among photodiode array based, short wave near infrared spectrometers using the same illumination/detection optical geometry has been attempted using various chemometric techniques, including slope and bias correction (SBC), direct standardisation (DS), piecewise direct standardisation (PDS), double window PDS (DWPDS), orthogonal signal correction (OSC), finite impulse transform (FIR) and wavelet transform (WT). Additionally, an interpolation and photometric response correction method, a wavelength selection method and a model updating method were assessed. Calibration transfer was attempted across two populations of mandarin fruit. Model performance was compared in terms of root mean squared error of prediction ( RMSEP), using Fearn's significance testing, for calibration transfer (standardisation) between pairs of spectrometers from a group of four spectrometers. For example, when a calibration model (Root Mean Square Error of Cross-Validation [ RMSECV = 0.26% soluble solid content (SSC)], developed on one spectrometer, was used with spectral data collected on another spectrometer, a poor prediction resulted ( RMSEP = 2.5% SSC). A modified WT method performed significantly better (e.g. RMSEP = 0.25% SSC) than all other standardisation methods (10 of 12 cases), and almost on a par with model updating (MU) (nine cases with no significant difference, one case and two cases significantly better for WT and MU, respectively).

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