Related Experiment Video
Updated: Aug 6, 2026

Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays
Published on: April 23, 2012
An assessment of seed quality and its influence on productivity estimation in an industrial antibiotic fermentation
C C F Cunha1, Jarka Glassey, G A Montague
1Department of Chemical and Process Engineering, University of Newcastle upon Tyne, Newcastle upon Tyne NE1 7RU, UK.
Abstract:
This study investigates the benefits of including seed quality information into data-based models for final productivity estimation in an industrial antibiotic fermentation process. Multiway principal component analysis is applied to assess the seed quality using routinely gathered plant data. Multiway partial least-squares regression is then used to estimate the final productivity using data from the main fermentation only. The issue of selecting appropriate process variables as inputs is investigated. Subsequently, seed characteristics are included into the estimation models to assess the benefits of including information from this stage for productivity estimation. It is shown that it is possible to extract seed fermentation features related to the final productivity both at pilot and production scales. It is postulated that significant influential variations are mirrored in monitored variables during the main fermentation, and therefore seed quality is implicitly accounted for.
More Related Videos
09:21Inhibition of Aspergillus flavus Growth and Aflatoxin Production in Transgenic Maize Expressing the α-amylase Inhibitor from Lablab purpureus L.
Published on: February 15, 2019
10:24Non-destructive SPE-UPLC-based Quantification of Aflatoxins and Stilbenoid Phytoalexins in Single Peanut (Arachis spp.) Seeds
Published on: April 19, 2024
Related Concept Videos
Microbes in the Production of Fermented Foods
Bioreactor Controls-III
Scale-Up Processes
Production of Antibiotics
Production of Pharmaceuticals