Literature DB >> 3342896

Spectrophotometric absorbance of follicular fluid: a predictor of oocyte fertilizing capability.

S R Bayer1, D R Armant, A M Dlugi, M M Seibel.   

Abstract

Follicular fluid volume, scoring of the oocyte-cumulus-corona-complex (OCCC), and spectrophotometric absorbance of the follicular fluid were separately compared between a group of fertilized (n = 53) and unfertilized oocytes (n = 35). Scoring of the OCCC and follicular fluid volumes was not found to be statistically different between the two groups. Spectrophotometric analysis of the follicular fluid in the visible spectrum demonstrated two peaks of maximum absorbance at 415 nm and 455 nm. The group of oocytes that fertilized was associated with follicular fluids that had significantly higher absorbances at 415 nm and 455 nm. In conclusion, follicular fluid volume and scoring of the OCCC were poor predictors of fertilizing capability; however, spectrophotometric absorbance, particularly at 455 nm, was positively correlated with oocyte fertilization.

Mesh:

Year:  1988        PMID: 3342896     DOI: 10.1016/s0015-0282(16)59770-2

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  4 in total

Review 1.  Physicochemical properties of follicular fluid and their relation to in vitro fertilization (IVF) outcome.

Authors:  B Fisch; I Goldberg; J Ovadia; Y Tadir
Journal:  J In Vitro Fert Embryo Transf       Date:  1990-04

2.  Spectrophotometric absorbance of follicular fluid: a selection criterion.

Authors:  C Huyser; F L Fourie; L Wolmarans
Journal:  J Assist Reprod Genet       Date:  1992-12       Impact factor: 3.412

3.  Spectrophotometric analysis of human follicular fluid with regard to in vitro fertilization (IVF) parameters, follicular protein, and hormone content.

Authors:  C Huyser; F L Fourie; P Levay
Journal:  J Assist Reprod Genet       Date:  1993-07       Impact factor: 3.412

Review 4.  Follicular fluid content and oocyte quality: from single biochemical markers to metabolomics.

Authors:  Alberto Revelli; Luisa Delle Piane; Simona Casano; Emanuela Molinari; Marco Massobrio; Paolo Rinaudo
Journal:  Reprod Biol Endocrinol       Date:  2009-05-04       Impact factor: 5.211

  4 in total

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