Standard

Calibration transfer between different analytical methods. / Panchuk, Vitaly; Kirsanov, Dmitry; Oleneva, Ekaterina; Semenov, Valentin; Legin, Andrey.

в: Talanta, Том 170, 01.08.2017, стр. 457-463.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Panchuk, V, Kirsanov, D, Oleneva, E, Semenov, V & Legin, A 2017, 'Calibration transfer between different analytical methods', Talanta, Том. 170, стр. 457-463. https://doi.org/10.1016/j.talanta.2017.04.039

APA

Panchuk, V., Kirsanov, D., Oleneva, E., Semenov, V., & Legin, A. (2017). Calibration transfer between different analytical methods. Talanta, 170, 457-463. https://doi.org/10.1016/j.talanta.2017.04.039

Vancouver

Panchuk V, Kirsanov D, Oleneva E, Semenov V, Legin A. Calibration transfer between different analytical methods. Talanta. 2017 Авг. 1;170:457-463. https://doi.org/10.1016/j.talanta.2017.04.039

Author

Panchuk, Vitaly ; Kirsanov, Dmitry ; Oleneva, Ekaterina ; Semenov, Valentin ; Legin, Andrey. / Calibration transfer between different analytical methods. в: Talanta. 2017 ; Том 170. стр. 457-463.

BibTeX

@article{94a42c072219461da3a312d5b50cd804,
title = "Calibration transfer between different analytical methods",
abstract = "The procedure for transfer of calibration models between different analytical methods is suggested. It is based on the direct standardization (DS) algorithm earlier suggested for data conversion between physically different instruments of the same type. As a result, multivariate regression models obtained e.g. for NIR spectroscopic measurements in one wavelength range can be successfully applied for predictions from the data obtained with another NIR spectrometer in another wavelength range. The performance of the suggested method was tested with two simulated and two real datasets. In the latter case calibration models constructed for energy-dispersive X-ray fluorescence, UV–Vis spectrometry and NIR spectrometry were addressed. The observed performance of the method implies that it can have a broad range of possible applications in analytical chemistry; some of them are suggested in the paper.",
keywords = "Calibration model, Calibration transfer, Multivariate regression",
author = "Vitaly Panchuk and Dmitry Kirsanov and Ekaterina Oleneva and Valentin Semenov and Andrey Legin",
year = "2017",
month = aug,
day = "1",
doi = "10.1016/j.talanta.2017.04.039",
language = "English",
volume = "170",
pages = "457--463",
journal = "Talanta",
issn = "0039-9140",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Calibration transfer between different analytical methods

AU - Panchuk, Vitaly

AU - Kirsanov, Dmitry

AU - Oleneva, Ekaterina

AU - Semenov, Valentin

AU - Legin, Andrey

PY - 2017/8/1

Y1 - 2017/8/1

N2 - The procedure for transfer of calibration models between different analytical methods is suggested. It is based on the direct standardization (DS) algorithm earlier suggested for data conversion between physically different instruments of the same type. As a result, multivariate regression models obtained e.g. for NIR spectroscopic measurements in one wavelength range can be successfully applied for predictions from the data obtained with another NIR spectrometer in another wavelength range. The performance of the suggested method was tested with two simulated and two real datasets. In the latter case calibration models constructed for energy-dispersive X-ray fluorescence, UV–Vis spectrometry and NIR spectrometry were addressed. The observed performance of the method implies that it can have a broad range of possible applications in analytical chemistry; some of them are suggested in the paper.

AB - The procedure for transfer of calibration models between different analytical methods is suggested. It is based on the direct standardization (DS) algorithm earlier suggested for data conversion between physically different instruments of the same type. As a result, multivariate regression models obtained e.g. for NIR spectroscopic measurements in one wavelength range can be successfully applied for predictions from the data obtained with another NIR spectrometer in another wavelength range. The performance of the suggested method was tested with two simulated and two real datasets. In the latter case calibration models constructed for energy-dispersive X-ray fluorescence, UV–Vis spectrometry and NIR spectrometry were addressed. The observed performance of the method implies that it can have a broad range of possible applications in analytical chemistry; some of them are suggested in the paper.

KW - Calibration model

KW - Calibration transfer

KW - Multivariate regression

UR - http://www.scopus.com/inward/record.url?scp=85018489393&partnerID=8YFLogxK

U2 - 10.1016/j.talanta.2017.04.039

DO - 10.1016/j.talanta.2017.04.039

M3 - Article

AN - SCOPUS:85018489393

VL - 170

SP - 457

EP - 463

JO - Talanta

JF - Talanta

SN - 0039-9140

ER -

ID: 9275038