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Allampalli P, Solanki S, Sivaprakasam S. Metabolic heat based specific growth rate estimators: Does the choice of estimation model influence the state of bioprocesses? J Biosci Bioeng 2024:S1389-1723(24)00162-2. [PMID: 38981803 DOI: 10.1016/j.jbiosc.2024.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 05/29/2024] [Accepted: 05/30/2024] [Indexed: 07/11/2024]
Abstract
Accurate and reliable estimation of specific growth rate (μ) in real-time is pivotal for reliable process monitoring of a bioprocess and subsequent implementation of advanced control strategies. Gibbs free energy dissipation is imminent for any biological system, and the metabolic heat flow measurements (calorimetry) formed the basis for estimating μ. However, the rationale behind selecting a suitable μ estimator model based on calorimetric perspective remains unexplored. The present investigation addresses the notion behind the selection of an appropriate estimator for μ and the assessment of the estimator models was illustrated using different types of energy metabolism, namely, high exothermic and low exothermic processes. The results indicated that the μ values from the instantaneous heat flow estimator significantly deviated (10-fold higher) from the offline values for highly exothermic process. Notably, the cumulative heat-based estimator accurately estimated μ values on both types of energy metabolism with performance metrics <0.005 h-1.
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Affiliation(s)
- Pavan Allampalli
- BioPAT Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Assam 781039, India
| | - Shikha Solanki
- BioPAT Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Assam 781039, India
| | - Senthilkumar Sivaprakasam
- BioPAT Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Assam 781039, India.
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Graciela CQ, José Juan EC, Gieraldin CL, Xóchitl Alejandra PM, Gabriel AÁ. Hyaluronic Acid-Extraction Methods, Sources and Applications. Polymers (Basel) 2023; 15:3473. [PMID: 37631529 PMCID: PMC10459667 DOI: 10.3390/polym15163473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/12/2023] [Accepted: 08/17/2023] [Indexed: 08/27/2023] Open
Abstract
In this review, a compilation of articles in databases on the extraction methods and applications of hyaluronic acid (HA) was carried out. HA is a highly hydrated component of different tissues, including connective, epithelial, and neural. It is an anionic, linear glycosaminoglycan (GAG) primarily found in the native extracellular matrix (ECM) of soft connective tissues. Included in the review were studies on the extraction methods (chemical, enzymatical, combined) of HA, describing advantages and disadvantages as well as news methods of extraction. The applications of HA in food are addressed, including oral supplementation, biomaterials, medical research, and pharmaceutical and cosmetic industry applications. Subsequently, we included a section related to the structure and penetration routes of the skin, with emphasis on the benefits of systems for transdermal drug delivery nanocarriers as promoters of percutaneous absorption. Finally, the future trends on the applications of HA were included. This final section contains the effects before, during, and after the application of HA-based products.
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Affiliation(s)
- Callejas-Quijada Graciela
- Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Av. Universidad Km. 1 Rancho Universitario, Tulancingo C.P. 43600, Hidalgo, Mexico; (C.-Q.G.); (C.-L.G.); (P.-M.X.A.)
| | - Escobar-Chávez José Juan
- Unidad de Investigación Multidisciplinaria, Laboratorio 12: Sistemas Transdérmicos, Facultad de Estudios Superiores Cuautitlán, Universidad Nacional Autónoma de México, Cuautitlán Izcalli C.P. 54714, Estado de México, Mexico;
| | - Campos-Lozada Gieraldin
- Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Av. Universidad Km. 1 Rancho Universitario, Tulancingo C.P. 43600, Hidalgo, Mexico; (C.-Q.G.); (C.-L.G.); (P.-M.X.A.)
| | - Pérez-Marroquín Xóchitl Alejandra
- Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Av. Universidad Km. 1 Rancho Universitario, Tulancingo C.P. 43600, Hidalgo, Mexico; (C.-Q.G.); (C.-L.G.); (P.-M.X.A.)
| | - Aguirre-Álvarez Gabriel
- Instituto de Ciencias Agropecuarias, Universidad Autónoma del Estado de Hidalgo, Av. Universidad Km. 1 Rancho Universitario, Tulancingo C.P. 43600, Hidalgo, Mexico; (C.-Q.G.); (C.-L.G.); (P.-M.X.A.)
- Uni-Collagen S.A. de C.V., Arnulfo González No. 203, El Paraíso, Tulancingo C.P. 43684, Hidalgo, Mexico
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Hybrid Model-based Framework for Soft Sensing and Forecasting Key Process Variables in the Production of Hyaluronic Acid by Streptococcus zooepidemicus. BIOTECHNOL BIOPROC E 2023. [DOI: 10.1007/s12257-022-0247-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
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Shikina E, Kovalevsky R, Shirkovskaya A, Toukach P. Prospective bacterial and fungal sources of hyaluronic acid: A review. Comput Struct Biotechnol J 2022; 20:6214-6236. [PMID: 36420162 PMCID: PMC9676211 DOI: 10.1016/j.csbj.2022.11.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 11/05/2022] [Accepted: 11/05/2022] [Indexed: 11/11/2022] Open
Abstract
The unique biological and rheological properties make hyaluronic acid a sought-after material for medicine and cosmetology. Due to very high purity requirements for hyaluronic acid in medical applications, the profitability of streptococcal fermentation is reduced. Production of hyaluronic acid by recombinant systems is considered a promising alternative. Variations in combinations of expressed genes and fermentation conditions alter the yield and molecular weight of produced hyaluronic acid. This review is devoted to the current state of hyaluronic acid production by recombinant bacterial and fungal organisms.
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Mohan N, Pavan SS, Jayakumar A, Rathinavelu S, Sivaprakasam S. Real-time metabolic heat-based specific growth rate soft sensor for monitoring and control of high molecular weight hyaluronic acid production by Streptococcus zooepidemicus. Appl Microbiol Biotechnol 2022; 106:1079-1095. [PMID: 35076739 DOI: 10.1007/s00253-022-11760-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 12/28/2021] [Accepted: 01/05/2022] [Indexed: 11/24/2022]
Abstract
This present investigation addressing the metabolic bottleneck in synthesis of high MW HA by Streptococcus zooepidemicus and illustrates the application of calorimetric fed-batch control of µ at a narrower range. Feedforward (FF) and feedback (FB) control was devised to improve the molecular weight (MW) of HA production by S. zooepidemicus. Metabolic heat measurements (Fermentation calorimetry) were modeled to decipher real-time specific growth rate, [Formula: see text] was looped into the PID circuit, envisaged to control [Formula: see text] to their desired setpoint values 0.05 [Formula: see text], 0.1 [Formula: see text], and 0.15 [Formula: see text] respectively. Similarly, a predetermined exponential feed rate irrespective of real-time µ was carried out in FF strategy. The developed FB strategy established a robust control capable of maintaining the specific growth rate (µ) close to the [Formula: see text] value with a minimal tracking error. Exponential feed rate carried out with a lowest [Formula: see text] of 0.05 [Formula: see text] showed an improved MW of HA to 2.98 MDa and 2.94 MDa for the FF and FB-based control strategies respectively. An optimal HA titer of 4.73 g/L was achieved in FF control strategy at [Formula: see text]. Superior control of µ at low [Formula: see text] value was observed to influence HA polymerization positively by yielding an improved MW and desired polydispersity index (PDI) of HA. PID control offers advantage over conventional fed-batch method to synthesize HA at an improved MW. Calorimetric signal-based µ control by PID negates adverse effects due to the secretion of other end products albeit maintaining regular metabolic activities. KEY POINTS: First report to compare HA productivities by feedforward and feedback control strategy. Inherent merits of regulating µ at narrower range were entailed. Relationship between operating µ and HA molecular weight was discussed.
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Affiliation(s)
- Naresh Mohan
- BioPAT Laboratory, Department of Biosciences & Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Satya Sai Pavan
- BioPAT Laboratory, Department of Biosciences & Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Anjali Jayakumar
- BioPAT Laboratory, Department of Biosciences & Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Sivakumar Rathinavelu
- BioPAT Laboratory, Department of Biosciences & Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Senthilkumar Sivaprakasam
- BioPAT Laboratory, Department of Biosciences & Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
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Swaminathan N, Priyanka P, Rathore AS, Sivaparakasam S, Subbiah S. Cole-Cole modeling of real-time capacitance data for estimation of cell physiological properties in recombinant Escherichia coli cultivation. Biotechnol Bioeng 2021; 119:922-935. [PMID: 34964125 DOI: 10.1002/bit.28028] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 11/17/2021] [Accepted: 12/20/2021] [Indexed: 11/12/2022]
Abstract
Real-time estimation of physiological properties of the cell during recombinant protein production would ensure enhanced process monitoring. In this study, we explored the application of dielectric spectroscopy to track the fed-batch phase of recombinant Escherichia coli cultivation for estimating the physiological properties, viz. cell diameter and viable cell concentration (VCC). The scanning capacitance data from the dielectric spectroscopy were pre-processed using moving average (MA). Later, it was modelled through a nonlinear theoretical Cole-Cole model and further solved using a global evolutionary genetic algorithm (GA). The parameters obtained from the GA were further applied for the estimation of the aforementioned physiological properties. The offline cell diameter and cell viability data were obtained from particle size analyzer and flow cytometry measurements to validate the Cole-Cole model. The offline VCC was calculated from the cell viability % from flow cytometry data and dry cell weight concentration (DCW). The Cole-Cole model predicted the cell diameter and VCC with an error of 1.03% and 7.72%, respectively. The proposed approach can enable the operator to take real-time process decisions in order to achieve desired productivity and product quality. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Nivedhitha Swaminathan
- Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Priyanka Priyanka
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, India
| | - Anurag S Rathore
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, India
| | - Senthilkumar Sivaparakasam
- Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.,Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Senthilmurugan Subbiah
- Centre for the Environment, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.,Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
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Xu Q, Torres JE, Hakim M, Babiak PM, Pal P, Battistoni CM, Nguyen M, Panitch A, Solorio L, Liu JC. Collagen- and hyaluronic acid-based hydrogels and their biomedical applications. MATERIALS SCIENCE & ENGINEERING. R, REPORTS : A REVIEW JOURNAL 2021; 146:100641. [PMID: 34483486 PMCID: PMC8409465 DOI: 10.1016/j.mser.2021.100641] [Citation(s) in RCA: 116] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Hydrogels have been widely investigated in biomedical fields due to their similar physical and biochemical properties to the extracellular matrix (ECM). Collagen and hyaluronic acid (HA) are the main components of the ECM in many tissues. As a result, hydrogels prepared from collagen and HA hold inherent advantages in mimicking the structure and function of the native ECM. Numerous studies have focused on the development of collagen and HA hydrogels and their biomedical applications. In this extensive review, we provide a summary and analysis of the sources, features, and modifications of collagen and HA. Specifically, we highlight the fabrication, properties, and potential biomedical applications as well as promising commercialization of hydrogels based on these two natural polymers.
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Affiliation(s)
- Qinghua Xu
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
| | - Jessica E Torres
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
| | - Mazin Hakim
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, USA
| | - Paulina M Babiak
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
| | - Pallabi Pal
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
| | - Carly M Battistoni
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
| | - Michael Nguyen
- Department of Biomedical Engineering, University of California Davis, Davis, California 95616, United States
| | - Alyssa Panitch
- Department of Biomedical Engineering, University of California Davis, Davis, California 95616, United States
| | - Luis Solorio
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, USA
| | - Julie C Liu
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, USA
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Abstract
Bored coffee beans (BCBs) are the residues left from the pest Hypothenemus hampei that attacks coffee crops, resulting in enormous economic losses. The bioconversion of monosaccharides from BCBs into hyaluronic acid (HA) is appealing both for using the residues and given the high commercial value of HA. This study dealt with the production of HA using Streptococcus zooepidemicus by employing either acid (AcH) or enzymatic (EnH) hydrolyzates from BCBs. The highest release of monosaccharides (evaluated using surface response methodology) was obtained with EnH (36.4 g/L); however, S. zooepidemicus produced more HA (1.5 g/L) using AcH compared to EnH. Hydrolyzates from acetone-extracted BCBs yielded 2.7 g/L of HA, which is similar to the amount obtained using a synthetic medium (2.8 g/L). This report demonstrates the potential of hydrolyzates from bored coffee beans to produce HA by S. zooepidemicus.
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Mohan N, Tadi SRR, Pavan SS, Sivaprakasam S. Deciphering the role of dissolved oxygen and N-acetyl glucosamine in governing higher molecular weight hyaluronic acid synthesis in Streptococcus zooepidemicus cell factory. Appl Microbiol Biotechnol 2020; 104:3349-3365. [PMID: 32078020 DOI: 10.1007/s00253-020-10445-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 01/27/2020] [Accepted: 02/06/2020] [Indexed: 01/01/2023]
Abstract
The present study is focused on systematic process and kinetic investigation of hyaluronic acid (HA) production strategy unraveling the role of dissolved oxygen (DO) and N-acetyl glucosamine (GlcNAc) towards the enhancement of HA titer and its molecular weight. Maintaining excess DO levels (10-40% DO) through DO-stat control and the substitution of GlcNAc at a range (5-20 g/L) with glucose (Glc) critically influenced HA production. DO-stat control strategy yielded a promising HA titer (2.4 g/L) at 40% DO concentration. Controlling DO level at 20% (DO-stat) was observed to be optimum resulting in a significant HA production (2.1 g/L) and its molecular weight ranging 0.98-1.45 MDa with a consistent polydispersity index (PDI) (1.57-1.69). Substitution of GlcNAc with Glc at different proportions explicitly addressed the metabolic trade-off between HA titer and its molecular weight. GlcNAc substitution positively influenced the molecular weight of HA. The highest HA molecular weight (2.53 MDa) of two-fold increase compared with glucose as sole carbon substrate and narrower PDI (1.35 ± 0.18) was achieved for the 10:20 (Glc:GlcNAc) proportion. A novice attempt on modeling the uptake of dual substrates (Glc and GlcNAc) by Streptococcus zooepidemicus for HA production was successfully accomplished using double Andrew's growth model and the kinetic parameters were estimated reliably.
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Affiliation(s)
- Naresh Mohan
- BioPAT Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India
| | - Subbi Rami Reddy Tadi
- BioPAT Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India
| | - Satya Sai Pavan
- BioPAT Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India
| | - Senthilkumar Sivaprakasam
- BioPAT Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India.
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