ArticleAnimals : an open access journal from MDPI2020
Tetrazolium Salt WST-8 as a Novel and Reliable Chromogenic Indicator for the Assessment of Boar Semen Quality.
Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Effects of Heat Stress on Semen Quality and Reproductive Performance of Crossbred Boars with Different Maternal Origins.Animals : an open access journal from MDPI · 2026Article
- A simple and rapid evaluation of boar sperm quality using the resazurin colorimetric assay.Animal reproduction · 2025Article
- Propolis-Based Nanostructured Lipid Carrier of α-Mangostin for Promoting Diabetic Wound Healing in Alloxan-Induced Mice.Journal of inflammation research · 2025Article
- Article
- A microplate-based DCFH-DA assay for the evaluation of oxidative stress in whole semen.Heliyon · 2022Article
- Beneficial Influence of Soybean Lecithin Nanoparticles on Rooster Frozen-Thawed Semen Quality and Fertility.Animals : an open access journal from MDPI · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A tetrazolium salt, 2-[2-methoxy-4-nitrophenyl]-3-[4-nitrophenyl]-5-[2,4-disulfophenyl]-2H-tetrazolium (WST-8), has been used widely to determine cell viability; however, its application in the field of reproduction is still limited due to this assay merely providing information regarding cell viability. The aim of this study was to correlate the WST-8 reduction rate with various sperm quality-related parameters (i.e., sperm viability, motility, progressive motility, acrosome integrity and mitochondria integrity) in order to provide a rapid, reliable and affordable assessment for boar semen quality evaluation. Using different ratios of active/damaged sperm cells, we first validated our sample preparations by standard flow cytometry and computer-assisted sperm analysis. Further analyses demonstrated that the most efficient experimental condition for obtaining a reliable prediction model was when sperm concentration reached 300 × 10
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Registered trials
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