Clavulanic acid separation on fixed bed columns of layered double hydroxides: Optimization of operating parameters using breakthrough curves

Abstract

International audienceThe adsorption of clavulanic acid (CA) in a fixed-bed column of layered double hydroxides (LDHME) was investigated. Breakthrough curves were obtained experimentally and the system was evaluated with regards to column operation time, efficiency and productivity as functions of simultaneous variations of superficial velocity (vz) and bed height (L) using a central composite rotatable design (CCRD). At the optimized condition (vz = 1.00 cm/min and L = 6.5 cm), the responses were: 46 min, 146 min, 100 min and 13 kg/h cm3, for breakthrough time (tb), exhaustion time (te), the difference te − tb and productivity (P), respectively. These results represent no change in tb, but a 50% decrease of te, 40% decrease of (te − tb) and 38% increase of P, which is advantageous for the process. The factorial design technique was shown to be an efficient tool for assessing factor influences and was effective in optimizing the column operating conditions. Good separation of CA from the amino acids tyrosine (TYR) and proline (PRO) was observed in fixed bed columns. The LDHME adsorbent was shown to be an excellent alternative for CA purification

Cobalt chromium-layered double hydroxide, α- and β- Co(OH)2 and amorphous Cr(OH)3: synthesis, modification and characterization

“…Layered double hydroxides (LDHs) can be represented by the general formula: Ma2+Mb3+true(OHtrue)2a+2btrue(X−true)b.xH2O where, M 2+ and M 3+ are cations, and X − is an exchangeable interlayer anion [1, 2]. These perspective materials can be used as a catalyst [2], pharmaceutical [3], biochemical [4], photochemical [5], electrochemical [6] materials, ion-exchanger and adsorbent [7], etc. The anion-exchange capability of LDH changes in following sequence CO 3 2− >SO 4 2− >OH − >F − >Cl − >Br − >NO 3 − > I − [8].…”

Machine Learning: A Suitable Method for Biocatalysis

“…Plenty of mechanistic-chemistry-and physics-based phenomenological and empirical models have been presented so far to simulate the kinetics of microbial biomass growth and product synthesis [7][8][9]; to quantify metabolic flux analysis [10,11]; for bioprocess optimization and biomanufacturing [12][13][14][15][16]; for bioreactor design, modelling and scale-up [17][18][19][20]; for the design of bioseparation units [20][21][22]; for protein and enzyme design [23][24][25][26]; and to characterize the kinetics of enzyme catalysis [24,[27][28][29][30]. Nevertheless, and despite advanced mathematical theories such as optimization and statistical analysis, both the research community and industry are still short of efficient and robust modelling models that can accurately translate the complex knowledge of the bioengineering domain into mathematical formulation [2].…”

Clavulanic Acid Production by Streptomyces clavuligerus: Insights from Systems Biology, Strain Engineering, and Downstream Processing

“…When using calcined hydrotalcite LDHs containing 70% MgO in a solid–liquid ratio of 15.0 g∙L −1 , complete adsorption of CA was observed [ 184 ]. CA adsorption into Zn 2 Cr-NO 3 , Zn 2 Al-NO 3 , and Mg 2 Al-NO 3 LDHs was satisfactory, but the best results were observed for the Zn 2 Cr-NO 3 LDH microencapsulated with calcium alginate, showing a purification factor of about 2.3 and CA recovery between 93 and 99% [ 185 , 186 ].…”