Multiresponse calibration with canonical variates in atomic emission spectroscopy of powders

Wienke, D.; Kateman, G.

doi:10.1007/bf00633570

Cited by 9 publications

(5 citation statements)

References 32 publications

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“…Another way to improve calibration might be the suitable choice of range on the time axis. Its influence was tested for different numbers of calibration samples with three overlapping ranges (Table 4, models [14][15][16][17][18][19][20][21][22]. Because of a decreasing signalto-noise ratio, the range of selected time channels should not be chosen too far from the time of injection (cf.…”

Section: Resultsmentioning

confidence: 99%

“…Additionally, the number p of time channels within a fixed time range (time resolution) was varied to look for smaller sets of variables with a goal of improving analyzing speed for future on-line applications. For multivariate calibration, the software package ICB-PLS (Intelligent Calibration of Biosensors-PLS, developed by D. Wienke) was applied, which uses the PLS algorithm. , Several cross-validation schemes, easy file handling, and graphical tools allow user-friendly calibration and analysis on a personal computer (DOS).…”

Section: Methodsmentioning

confidence: 99%

“…The first photometric multicomponent models were reported in the 1960s . Later, modern calibration methods in latent variables such as principal component regression, partial least-squares regression, , and canonical correlation analysis were reported. A recent overview, for example, can be found in ref .…”

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confidence: 99%

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Simultaneous Mixture Analysis Using a Dynamic Microbial Sensor Combined with Chemometrics

et al. 1996

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A biosensor consisting of immobilized microbial cells and an oxygen electrode was used in a flow-through system as a microbial sensor flow injection analyzer (FIA). For different organic analytes, the metabolism of vital cells provides individual time-resolved responses with distinct time-dependent amplitudes. Chemometrical data analysis revealed that the individual responses are additive and depend linearly on single analyte concentrations. Based on these observations, simultaneous multicomponent analysis of organic mixtures was carried out in the FIA's time domain with analytical errors of less than 10%. For mixture analysis and monitoring in processes like enzymatic conversions, the described microbial sensor FIA ("dynamic microbial sensor") offers an alternative to expensive analytical equipment.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Simultaneous Mixture Analysis Using a Dynamic Microbial Sensor Combined with Chemometrics

et al. 1996

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“…During the last two decades numerous algorithms have been studied and discussed in literatures, such as convolution [16], differentiation [17], Fourier transforms [18], neural networks [19], genetic regression [20], principal component analysis and partial least squares [21], Kalman filtering [22,23], and wavelet transforms [24], all of which have been reviewed particularly by van Veen and de Loos-Vollebregt [25].…”

Section: Introductionmentioning

confidence: 99%

Automatic estimation of varying continuum background emission in laser-induced breakdown spectroscopy

Sun

2009

Spectrochimica Acta Part B: Atomic Spectroscopy

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“…Direct analysis of Si in graphite and Mn in CaF 2 are examples of successful applications of PCR and PLS to atomic emission spectroscopy. 13 A genetic regression (GR) algorithm was applied to synthetic spectra with uctuating background. 14 GR is based on the correlation of ''spectral genes'' with concentrations.…”

Section: Introductionmentioning

confidence: 99%

Automatic Correction of Continuum Background in Laser-Induced Breakdown and Raman Spectrometry

et al. 2003

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The goal of this work was the development and evaluation of an algorithm for the approximation and automatic subtraction of continuum backgrounds in laser-induced breakdown and Raman spectra. The background correction algorithm was applied to simple and complex spectra and its effect on identification accuracy was studied. Linear correlation was used for the identification of plastic samples using both laser-induced breakdown and Raman spectra. For both techniques, the algorithm successfully eliminated continuum background without compromising spectral integrity. A significant improvement in the percentage of correct plastic identifications was observed for Raman spectra. The approach should be applicable to a wide range of background correction problems in atomic and molecular spectroscopy.

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Multiresponse calibration with canonical variates in atomic emission spectroscopy of powders

Cited by 9 publications

References 32 publications

Simultaneous Mixture Analysis Using a Dynamic Microbial Sensor Combined with Chemometrics

Simultaneous Mixture Analysis Using a Dynamic Microbial Sensor Combined with Chemometrics

Automatic estimation of varying continuum background emission in laser-induced breakdown spectroscopy

Automatic Correction of Continuum Background in Laser-Induced Breakdown and Raman Spectrometry

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