✦ LIBER ✦

Potentiometric titration of fulvic acids from lignite, in dimethylformamide and dimethylsulphoxide media

✍ Scribed by Jose M. Andres; C. Romero; Jose M. Gavilan

Book ID: 118994999
Publisher: Elsevier Science
Year: 1987
Tongue: English
Weight: 290 KB
Volume: 34
Category: Article
ISSN: 0039-9140
DOI: 10.1016/0039-9140(87)80195-9

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Differentiation of the acidic groups of

Differentiation of the acidic groups of fulvic acids from lignite by potentiometric titration in acetone, acetonitrile and isopropanol

✍ JoséM. Andrés; Clemente Romero 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 342 KB

Characterization of fulvic acids extract

Characterization of fulvic acids extracted from some organic manures and wastes by potentiometric titration

✍ S.B. Pandeya 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 608 KB

Microdetermination of phenols, carboxyli

Microdetermination of phenols, carboxylic acids and phenolic acids by potentiometric and visual titrations in dimethylformamide

✍ Saad S.M. Hassan; M.T.M. Zaki 📂 Article 📅 1975 🏛 Elsevier Science 🌐 English ⚖ 554 KB

95/03342 Study on dissociation and compl

95/03342 Study on dissociation and complexation of fulvic acid from weathered coal using potentiometric titration

📂 Article 📅 1995 🏛 Elsevier Science ⚖ 189 KB

Non-Aqueous Titrimetric Determination Of

Non-Aqueous Titrimetric Determination Of N-P-Chlorophenylbenzohydroxamic Acids: Visual And Potentiometric Titration In Dimethylformamide

✍ Y. K. Agrawal; R. D. Roshania 📂 Article 📅 2010 🏛 Wiley (John Wiley & Sons) ⚖ 199 KB 👁 1 views

Analytical limitations and error sources

Analytical limitations and error sources in complexation studies of Cu(II) with fulvic acids by potentiometric titrations

✍ M. Ricart; I. Villaescusa; F. de la Torre 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 497 KB

A potentiometric titration method has been used to obtain experimental data for acid-base and Cu compflexation of soil fulvic acids. The uncertainty associated to the data has been studied in order to prove a Gaussian mu/tiligand model, getting insight in the main sources of error. Based on this obs