![]() ![]() ![]() Ödman P, Johansen CL, Olsson L, Gernaey KV, Lantz AE (2010) Sensor combination and chemometric variable selection for online monitoring of Streptomyces coelicolor fed-batch cultivations. geldanus fermentation broths using a flatbed scanner. O’Cleirigh C, Walsh P, O’Shea D (2003) Morphological quantification of pellets in Streptomyces hygroscopicus var. Nielsen J, Johansen C, Jacobsen M, Krabben P, Villadsen J (1995) Pellet formation and fragmentation in submerged cultures of Penicillium chrysogenum and its relation to penicillin production. Application to Aspergillus niger and Phanerochaete chrysosporium. Moreira M, Sanroman A, Feijoo G, Lema J (1996) Control of pellet morphology of filamentous fungi in fluidized bed bioreactors by means of a pulsing flow. Mikkelsen O (2002) Examples of spatial and temporal variations of some fine-grained suspended particle characteristics in two danish coastal water bodies. Matsuyama T, Yamamoto H, Scarlett B (2000) Transformation of diffraction pattern due to ellipsoids into equivalent diameter distribution for spheres. ![]() Masse A, Sperandio M, Cabassud C (2006) Comparison of sludge characteristics and performance of a submerged membrane bioreactor and an activated sludge process at high solids retention time. Liu Y, Liao W, Chen S (2008) Study of pellet formation of filamentous fungi Rhizopus oryzae using a multiple logistic regression model. Lin PJ, Scholz A, Krull R (2010) Effect of volumetric power input by aeration and agitation on pellet morphology and product formation of Aspergillus niger. Liao W, Liu Y, Chen S (2007) Studying pellet formation of a filamentous fungus Rhizopus oryzae to enhance organic acid production. Li J, Li Y, Ohandja DG, Yang F, Wong FS, Chua HC (2008) Impact of filamentous bacteria on properties of activated sludge and membrane-fouling rate in a submerged MBR. Li Z, Shukla V, Wenger K, Fordyce A, Pedersen A, Marten M (2002) Estimation of hyphal tensile strength in production-scale Aspergillus oryzae fungal fermentations. Li J (2005) Effects of Fe(III) on floc characteristics of activated sludge. Kononenko AP, Kononenko KI, Mikhov DM (1969) Dependence of refractive index on physiological state of microbial population. Kelly RN, Kazanjian J (2006) Commercial reference shape standards use in the study of particle shape effect on laser diffraction particle size analysis. ISO13320 (2009) Particle size analysis-laser diffraction methods Hosobuchi M, Ogawa K, Yoshikawa H (1993) Morphology study in production of ML-236B, a precursor of pravastatin sodium, by Penicillium citrinum. Grimm L, Kelly S, Hengstler J, Gobel A, Krull R, Hempel D (2004) Kinetic studies on the aggregation of Aspergillus niger conidia. Biotechnol Bioeng 39:945–952Ĭox PW, Paul GC, Thomas CR (1998) Image analysis of the morphology of filamentous micro-organisms. Can J Microbiol 8:133–136Ĭox P, Thomas C (1992) Classification and measurement of fungal pellets by automated image-analysis. Water Res 36:4293–4300Ĭlarke DS (1962) Submerged citric acid fermentation of ferrocyanide treated beet molasses: morphology of pellets of Aspergillus niger. Biotechnol Bioeng 81:341–347Ĭasamitjana X, Serra T, Soler M, Colomer J (2002) A study of the evolution of the particle boundary layer in a reservoir, using laser particle sizing. Therefore, laser diffraction measurements are high quality and the technique may be useful when rapid measurements of filamentous cell clumps and pellets are required.īhargava S, Nandakumar M, Roy A, Wenger K, Marten M (2003) Pulsed feeding during fed-batch fungal fermentation leads to reduced viscosity without detrimentally affecting protein expression. Both techniques produced similar estimations of the population means, whereas the estimates of the standard deviations were generally higher using laser diffraction compared to image analysis. Laser diffraction and image analysis yielded similar size distributions, i.e. The volume-weighted size distribution was calculated for each sample. Samples, taken five times during fed-batch cultivation, were analyzed by image analysis and laser diffraction. We have evaluated laser diffraction to measure cell clumps and pellets of Streptomyces coelicolor compare to image analysis. However, it is based on a number of assumptions that do not always apply to samples. Laser diffraction is rapid and fully automatic and provides a volume-weighted distribution of the particle sizes. Image analysis provides detailed information about the morphology but, in practice, it is often laborious including both collection of high quality images and image processing. Morphology is important in industrial processes involving filamentous organisms because it affects the mixing and mass transfer and can be linked to productivity. ![]()
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