Optimisation and kinetic studies on the production of intracellular canthaxanthin in fed-batch cultures of Dietzia natronolimnaea HS-1

Abstract

A critical optimisation and kinetic study on the production improvement of carotenoid pigment extracted from Dietzia natronolimnaea HS-1 under fed-batch fermentation was conducted. High pressure liquid chromatography revealed that the most abundant pigment biosynthesised by this bacterium was canthaxanthin. The constant feeding rates (CFRs; 5.59-8.41 ml/h) for different concentrations of enzymatic hydrolysed molasses (EHM; 40.76-49.24 g/l) were optimised to achieve the highest cell biomass, total carotenoid and canthaxanthin amounts using a response surface method. Spectrophotometric and optimisation analysis showed that the maximum cell mass (17.79 g/l), total carotenoid (16.37 mg/l) and canthaxanthin (14.63 mg/l) can be obtained at 45.90 g/l EHM with a CFR of 6.40 ml/h. A very close agreement between experimental and predicted data was found. A substantial increase (123.4%) in production of canthaxanthin was achieved after 152 h fed-batch process under optimal CFR mode as compared with batch process. Moreover, the maximum specific growth rate and, the volumetric productivities and yields of cell mass, total carotenoid and canthaxanthin in fed-batch culture were significantly more than the batch one.

Formulation Design and Physicochemical Stability Characterization of Nanoemulsions of Nettle (Urtica dioica ) Essential Oil Using a Model-Based Methodology

“…A ratio greater than 4.0 is desirable (Gharibzahedi et al . ). For the proposed models, this value was between 38.08 and 55.26 (Table ), a very good signal‐to‐noise ratio.…”

Optimization of ultrasound‐assisted extraction of functional polysaccharides from common mullein (Verbascum thapsus L.) flowers

“…Meanwhile, use of an optimization procedure such as response surface methodology (RSM) can be helpful to attain high values in the yield of extracted polysaccharides and other natural compounds based on the mathematical models (Gharibzahedi, Razavi, & Mousavi, 2015a). This statistical model-based methodology not only again decreases the required time and cost to perform experimental experiments, but also determines a calculated relationship between one or more studied responses (Mendez-Calder, Ocampo-Casta, & Orrego, 2017).…”

Microbial Carotenoids Production: Strains, Conditions, and Yield Affecting Factors

“…Wherein, proportions of the carotenoids will change under the influence of pH, dissolved oxygen presence, light intensity, medium composition, etc [80], [81], [90], [91]. While others produce basic carotenoids in higher quantities, e.g., Phaffia rhodozyma is capable of accumulating astaxanthin up to 83-87 % of total carotenoid content within its cells [92], for Flavobacterium multivorum it is about 93-96 % zeaxanthin content [93], [94] for Dietzia natronolimnaea this is сanthatastaxanthin >89 % of total carotenoids content [95], [96].…”

“…Many studies on carotenoids use these products successfully (Table 1). Sweet sorghum juice [64], sweet potatoes juice [67], coconut water [72], corn steep liquor [66], [79], [101], molasses [69], [95], [109], cheese whey [98], rapeseed meal [127], soybean meal [45], crude glycerol [89], [113], [128], cooking oil [129], sawdust hydrolysate [105], wheat bran [7], [77], cassava residues [130], onion peels and mung bean husk [70], fruit and vegetable waste [131] are used for the cultivation of carotenoid-synthesizing microorganisms. At the same time, yeasts are able to grow in environments with a high carbon content (50-100 g L −1 ) and utilize various sugars, as well as glycerol and oil.…”