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Electron-transfer MALDI MS methodology for microalgae/phytoplankton pigments analysis.
Díaz-Sánchez, Luis M; Blanco-Tirado, Cristian; Combariza, Marianny Y.
Afiliación
  • Díaz-Sánchez LM; Escuela de Química, Universidad Industrial de Santander, Bucaramanga, Santander 680002, Colombia.
  • Blanco-Tirado C; Escuela de Química, Universidad Industrial de Santander, Bucaramanga, Santander 680002, Colombia.
  • Combariza MY; Escuela de Química, Universidad Industrial de Santander, Bucaramanga, Santander 680002, Colombia.
MethodsX ; 10: 102140, 2023.
Article en En | MEDLINE | ID: mdl-37007620
The method describes pigment analysis from microalgae/phytoplankton extracts using electron-transfer Matrix-Assisted Laser Desorption Ionization Mass Spectrometry (ET MALDI MS). Current microalgae/phytoplankton pigment analysis requires resource- and time-intensive chromatographic methods due to the broad polarity range of the target analytes. On the other hand, traditional MALDI MS chlorophyll analysis, using proton-transfer matrices such as 2,5-dihydroxybenzoic acid (DHB) or α-cyano-4-hydroxycinnamic acid (CHCA), results in central metal loss and phytol-ester cleavage. ET MALDI MS is an alternative for the rapid screening and detection of pigments in microalgae extracts.•MALDI matrices with ionization energies above 8.0 eV guarantee electron-transfer processes from photosynthetic and photoprotective pigments whose ionization energies lay below 7.5 eV.•ET MALDI MS pigment analysis agrees with data gathered from conventional chromatographic techniques (HPLC) and optical microscopy for pigment extracts from C. vulgaris cultures and freshwater phytoplankton samples.•The ET MALDI MS method allows fast and reliable detection of pigments in microalgae cultures and freshwater phytoplankton samples.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: MethodsX Año: 2023 Tipo del documento: Article País de afiliación: Colombia Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: MethodsX Año: 2023 Tipo del documento: Article País de afiliación: Colombia Pais de publicación: Países Bajos