Titration curve for the determination of free lithium in a lithium-boron alloy-Reference-Cited by-同舟云学术

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Titration curve for the determination of free lithium in a lithium-boron alloy

Published:2023-02-23 Issue:2(I) Volume:89 Page:5-12
ISSN:2588-0187
Container-title:Industrial laboratory. Diagnostics of materials
language:
Short-container-title:Zavod. lab., Diagn. mater.

Author:

Amerin V. G.¹,Shogah Z. A. Ch.²,Bolshakov D. S.³,Tretyakov A. V.⁴

Affiliation:

1. Alexander Stoletov and Nikolay Stoletov Vladimir State University; The Russian State Center for Animal Feed and Drug Standardization and Quality

2. Alexander Stoletov and Nikolay Stoletov Vladimir State University

3. Center for Hygiene and Epidemiology in the Vladimir Region

4. The Russian State Center for Animal Feed and Drug Standardization and Quality

Publisher

TEST-ZL Publishing

Subject

Applied Mathematics,Mechanics of Materials,General Materials Science,Analytical Chemistry

Reference20 articles.

1. Yang Y., Ferro M. D., Cavaco I., Liang Y. Detection and identification of extra virgin olive oil adulteration by GC-MS combined with chemometrics / J. Agric. Food Chem. 2013. Vol. 61. E 36933702. DOI: 10.1021/jf4000538

2. Tomazzoni G., Meira M., Quintella C. M., et al. Identification of vegetable oil or biodiesel added to diesel using fluorescence spectroscopy and principal component analysis / Am. Oil Chem. Soc. 2014. Vol. 91. E 215 - 227. DOI: 10.1007Ы1746-013-2354-5

3. Al-Kahtani H. A., Ahmed M. A., Abou-Arab A. A., Hayat K. Identification of lard in vegetable oil binary mixtures and commercial food products by FTIR / Qual. Assur. Sail Crops Foods. 2017. Vol. 9. N 1. E 11 - 22. DOI: 10.3920/QAS2015.0692

4. Chen Y., Wang J., Xu Q., et al. Identification of edible-vegetable-oil types based on multi-kernel learning and multi-spectral fusion / IOP Conf. Sen: Mater. Sci. Eng. 2018. Vol. 452. 022054. DOI: 10.1088/1757-899X/452/2/022054

5. GOST 30623-98. Vegetable oils and blended fat products. Falsification detection method. — Moscow: Standartinform, 2018. — 23 p. [in Russian].

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