Modeling the nonlinear behavior of a bioactive peptide in reversed-phase gradient elution chromatography

Luca, Chiara De; Felletti, Simona; Macis, Marco; Cabri, Walter; Lievore, Giulio; Chenet, Tatiana; Pasti, Luisa; Morbidelli, Massimo; Cavazzini, Alberto; Catani, Martina; Ricci, Antônio

doi:10.1016/j.chroma.2019.460789

Cited by 19 publications

(19 citation statements)

References 62 publications

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“…There are, however, still many challenges to overcome. From a theoretical viewpoint, there is room for studies focusing on the modeling of the process [ 9 , [53] , [54] , [55] , [56] , [57] , [58] , [59] , [60] , [61] ]. Even though this relies essentially on the well-known theory of nonlinear chromatography, robust, validated models able to simulate the process in all its stages are not yet available.…”

Section: Discussionmentioning

confidence: 99%

“…polypeptides. These recent innovations in the upstream of biopharmaceuticals have not been followed by similar enhancement in the downstream process, at the point that the latter currently represents a bottleneck in the whole production of biotherapeutics [ 8 , 9 , 10 ]. The term downstream in general indicates both the recovery and the purification of a product from a complex mixture [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore reversed-phase, ion-exchange and hydrophobic interaction chromatography are rather preferred as methods of choice [ 6 ]. In order to improve the resolution of the peaks, it is advisable to work in gradient conditions, since the retention of biomolecules is largely dependent on the composition of the mobile phase (e.g., on the salt concentration or on the percentage of organic modifier) [ 9 , [18] , [19] , [20] ].…”

Section: Introductionmentioning

confidence: 99%

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Modern trends in downstream processing of biotherapeutics through continuous chromatography: The potential of Multicolumn Countercurrent Solvent Gradient Purification

Luca

Felletti

Lievore

et al. 2020

TrAC Trends in Analytical Chemistry

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Single-column (batch) preparative chromatography is the technique of choice for purification of biotherapeutics but it is often characterized by an intrinsic limitation in terms of yield-purity trade-off, especially for separations containing a larger number of product-related impurities. This drawback can be alleviated by employing multicolumn continuous chromatography. Among the different methods working in continuous mode, in this paper we will focus in particular on Multicolumn Countercurrent Solvent Gradient Purification (MCSGP) which has been specifically designed for challenging separations of target biomolecules from their product-related impurities. The improvements come from the automatic internal recycling of the impure fractions inside the chromatographic system, which results in an increased yield without compromising the purity of the pool. In this article, steps of the manufacturing process of biopharmaceuticals will be described, as well as the advantages of continuous chromatography over batch processes, by particularly focusing on MCSGP.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modern trends in downstream processing of biotherapeutics through continuous chromatography: The potential of Multicolumn Countercurrent Solvent Gradient Purification

Luca

Felletti

Lievore

et al. 2020

TrAC Trends in Analytical Chemistry

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“…The predicted parameters were found to agree with those obtained from isocratic experiments. Gradients have also been investigated in this context, with reports focusing on the fundamental equation of gradient elution [122], non‐linear gradients [123] and pre‐elution of solute in the initial mobile phase [124].…”

Section: Methodsmentioning

confidence: 99%

Recent applications of retention modelling in liquid chromatography

Uijl

Schoenmakers

Pirok

et al. 2020

J of Separation Science

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Recent applications of retention modelling in liquid chromatography (2015–2020) are comprehensively reviewed. The fundamentals of the field, which date back much longer, are summarized. Retention modeling is used in retention‐mechanism studies, for determining physical parameters, such as lipophilicity, and for various more‐practical purposes, including method development and optimization, method transfer, and stationary‐phase characterization and comparison. The review focusses on the effects of mobile‐phase composition on retention, but other variables and novel models to describe their effects are also considered. The five most‐common models are addressed in detail, i.e. the log‐linear (linear‐solvent‐strength) model, the quadratic model, the log–log (adsorption) model, the mixed‐mode model, and the Neue–Kuss model. Isocratic and gradient‐elution methods are considered for determining model parameters and the evaluation and validation of fitted models is discussed. Strategies in which retention models are applied for developing and optimizing one‐ and two‐dimensional liquid chromatographic separations are discussed. The review culminates in some overall conclusions and several concrete recommendations.

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“…The parameters describing this relation can be determined based on a small set of experiments. Not least due to its simplicity, LSS theory is used frequently to predict the retention factors and the related elution times for changing mobile phase compositions [21,22 ], including within commercial software. More advanced retention models considering both mobile and stationary phase properties are the linear solvation energy relationships (LSER) introduced in the 1980s and still used [23][24][25], again including within commercial software.…”

Section: Retention Modelsmentioning

confidence: 99%

Recent advances in modelling and control of liquid chromatography

Besenhard

Tsatse

Mazzei

et al. 2021

Current Opinion in Chemical Engineering

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For more than a century, chromatography has been indispensable as a separation method for both analytics and purification. Among the variety of chromatographic techniques, liquid chromatography has a special status owing to its efficiency and versatility, and its status is further enhanced by the continuous improvements of analysers, materials, methods and understanding, all supported by computational approaches. High performance liquid chromatography (HPLC) has always held a special place in pharmaceutical processing, and computational HPLC has been explored since the very early stages of computing, although without having yet reached its full potential. Herein, we provide a comprehensive and critical review of recent developments in designing and operating liquid chromatographic systems, focussing on their modelling approaches and control strategies at large scale.

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Modeling the nonlinear behavior of a bioactive peptide in reversed-phase gradient elution chromatography

Cited by 19 publications

References 62 publications

Modern trends in downstream processing of biotherapeutics through continuous chromatography: The potential of Multicolumn Countercurrent Solvent Gradient Purification

Modern trends in downstream processing of biotherapeutics through continuous chromatography: The potential of Multicolumn Countercurrent Solvent Gradient Purification

Recent applications of retention modelling in liquid chromatography

Recent advances in modelling and control of liquid chromatography

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