Validation of analytical methodology to determine the quantification of tannins in the pit avocado (Persea americana Miller var. hass) by high pressure liquid chromatography

Authors

  • Víctor Augusto Castro Zavaleta Universidad Nacional del Santa
  • Noé Ildefonso Costilla Sánchez Universidad Nacional de Trujillo

DOI:

https://doi.org/10.15381/idata.v17i2.12054

Keywords:

validation, tannins (catechin), HPLC

Abstract

In the present research work entitled Validation of an analytical methodology for determining tannins (catechin) in pit (integument) avocado (Persea americana Miller var. Hass) by high resolution liquid chromatography “(HPLC), is to validate a methodology HPLC to determine the concentration of these analytes, using an Agilent 1100 gas chromatograph with diode array detector was used with a UV-Visible octadecylsilane column (C18) of 150 mm length and 4.6 mm internal diameter; was used as mobile phase solution A (methanol) and solution B (glacial acetic acid 0.1%), with a travel time of 15 minutes, in an isocratic gradient of 15% A and 85% B; read at a wavelength of 210 nm, with a flow rate of 1 mL / min. was injected 10 uL sample at a temperature of 35 ° C. Finding that the evaluated parameters: linearity, limit of detection, limit of quantification, precision and accuracy of the method are within accepted values for validation.

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Author Biographies

  • Víctor Augusto Castro Zavaleta, Universidad Nacional del Santa
    Profesor investigador de la Facultad de Ingeniería, Escuela de Ingeniería Agroindustrial de la Universidad Nacional del Santa.
  • Noé Ildefonso Costilla Sánchez, Universidad Nacional de Trujillo
    Profesor investigador de la Facultad de Ingeniería Química de la Universidad Nacional de Trujillo.

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Published

2014-12-20

Issue

Section

Diseño y Tecnología

How to Cite

Validation of analytical methodology to determine the quantification of tannins in the pit avocado (Persea americana Miller var. hass) by high pressure liquid chromatography. (2014). Industrial Data, 17(2), 99-104. https://doi.org/10.15381/idata.v17i2.12054