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Comparative data of molecular weight distribution of agave fructans fractions using MALDI-ToF and HPLC-SEC.
Moreno-Vilet, Lorena; Bostyn, Stéphane; Flores-Montaño, José-Luis; Camacho-Ruiz, Rosa-María.
Affiliation
  • Moreno-Vilet L; CONACYT-CIATEJ-Centro de Investigación y Desarrollo en Agrobiotecnología Alimentaria. Pachuca Ciudad del Conocimiento y la Cultura. Boulevard Circuito La Concepción 3 C.P.42162. San Agustín Tlaxiaca, Hgo.
  • Bostyn S; Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C., Av. Normalistas 800, Colinas de la Normal, C.P. 44270, Guadalajara, Jalisco, Mexico.
  • Flores-Montaño JL; Institut Universitaire de Technologie, Université d'Orléans, 16 rue d'Issoudun, BP 16729- 45067 Orléans, Cedex 2, France.
  • Camacho-Ruiz RM; Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C., Av. Normalistas 800, Colinas de la Normal, C.P. 44270, Guadalajara, Jalisco, Mexico.
Data Brief ; 24: 103984, 2019 Jun.
Article in En | MEDLINE | ID: mdl-31193490
A comparative data of two generally accepted mass techniques for estimate the molecular weight distribution of polysaccharides are presented. The data were obtained from agave fructans samples of different molecular weight, which were analyzed authored independently. The two analytical techniques used were Matrix-Assisted Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry (MALDI-ToF) and High Pressure Size Exclusion Chromatography (HP-SEC). The data set here are related to the research paper entitled "Size-exclusion chromatography (HPLC-SEC) technique optimization by simplex method to estimate molecular weight distribution of agave fructans" by Moreno-Vilet et al. [1]. This article present the comparative figures as histograms obtained from mathematically processed MALDI-ToF spectra and HPLC-SEC chromatograms. And also, the calculated polymer parameters as number and mass molecular weight, number and mass average degree of polymerization and dispersity index.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Data Brief Year: 2019 Document type: Article Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Data Brief Year: 2019 Document type: Article Country of publication: Netherlands