Enzymatic keratin hydrolysis: Dynamic modelling, parameter estimation and validation

Alistair Rodman, Francesco Falco, Dimitrios I. Gerogiorgis, Krist V. Gernaey

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Keratin rich waste material is an abundant by-product from the agroindustry, particularly the meat and poultry industries: skin remains, bristle, animal hair, horns and hooves, feathers, etc. This waste may not be incinerated due to environmental concerns, so producers seek waste valorization by upcycling this non-biodegradable by-product by depolymerization to extract soluble proteins, which can be used as animal feed supplements. This can be performed thermally, however high temperature processing destroys amino acids which are necessary in the product and are costly to later supplement. A novel two-stage enzymatic de-polymerization process for keratin is being investigated. The first stage involves growing the microbial keratinases on a substrate sample, and is optimized for maximal enzyme production. The second stage uses the keratinases in a bioreactor optimized for substrate hydrolysis. The enzymatic hydrolysis mechanism for keratin is not well documented rendering current the current industrial application limited. This paper presents lab scale experimental results from the second (hydrolysis) stage using a keratinolytic enzymatic cocktail with the filamentous bacterium Amycolatopsis keratiniphila D2 (DSM 44409). Dynamic state data for the product (protein) and substrate (keratin) concentrations following varying substrate loading has been used to construct the first reduced order model for the enzymatic hydrolysis of waste keratin. Potential model applications include to dynamically optimize this second process stage by computing optimal dosage strategies (keratin deposit intervals and volume) to minimize processing time and cost to dispose or repurpose the biochemical waste.
Original languageEnglish
Title of host publicationProceedings of the 28th European Symposium on Computer Aided Process Engineering – ESCAPE 28
EditorsAnton Friedl, Jiří J. Klemeš, Stefan Radl, Petar S. Varbanov, Thomas Wallek
Volume43
PublisherElsevier
Publication date2018
Pages1553-1558
ISBN (Electronic)978-0-444-64235-6
DOIs
Publication statusPublished - 2018
Event28th European Symposium on Computer Aided Process Engineering (Escape 28) - Graz, Austria
Duration: 10 Jun 201813 Jun 2018

Conference

Conference28th European Symposium on Computer Aided Process Engineering (Escape 28)
CountryAustria
CityGraz
Period10/06/201813/06/2018
SeriesComputer Aided Chemical Engineering
ISSN1570-7946

Keywords

  • Keratin
  • Enzymatic hydrolysis
  • Dynamic modelling
  • Parameter estimation

Cite this

Rodman, A., Falco, F., Gerogiorgis, D. I., & Gernaey, K. V. (2018). Enzymatic keratin hydrolysis: Dynamic modelling, parameter estimation and validation. In A. Friedl, J. J. Klemeš, S. Radl, P. S. Varbanov, & T. Wallek (Eds.), Proceedings of the 28th European Symposium on Computer Aided Process Engineering – ESCAPE 28 (Vol. 43, pp. 1553-1558). Elsevier. Computer Aided Chemical Engineering https://doi.org/10.1016/B978-0-444-64235-6.50271-0
Rodman, Alistair ; Falco, Francesco ; Gerogiorgis, Dimitrios I. ; Gernaey, Krist V. / Enzymatic keratin hydrolysis: Dynamic modelling, parameter estimation and validation. Proceedings of the 28th European Symposium on Computer Aided Process Engineering – ESCAPE 28. editor / Anton Friedl ; Jiří J. Klemeš ; Stefan Radl ; Petar S. Varbanov ; Thomas Wallek. Vol. 43 Elsevier, 2018. pp. 1553-1558 (Computer Aided Chemical Engineering).
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title = "Enzymatic keratin hydrolysis: Dynamic modelling, parameter estimation and validation",
abstract = "Keratin rich waste material is an abundant by-product from the agroindustry, particularly the meat and poultry industries: skin remains, bristle, animal hair, horns and hooves, feathers, etc. This waste may not be incinerated due to environmental concerns, so producers seek waste valorization by upcycling this non-biodegradable by-product by depolymerization to extract soluble proteins, which can be used as animal feed supplements. This can be performed thermally, however high temperature processing destroys amino acids which are necessary in the product and are costly to later supplement. A novel two-stage enzymatic de-polymerization process for keratin is being investigated. The first stage involves growing the microbial keratinases on a substrate sample, and is optimized for maximal enzyme production. The second stage uses the keratinases in a bioreactor optimized for substrate hydrolysis. The enzymatic hydrolysis mechanism for keratin is not well documented rendering current the current industrial application limited. This paper presents lab scale experimental results from the second (hydrolysis) stage using a keratinolytic enzymatic cocktail with the filamentous bacterium Amycolatopsis keratiniphila D2 (DSM 44409). Dynamic state data for the product (protein) and substrate (keratin) concentrations following varying substrate loading has been used to construct the first reduced order model for the enzymatic hydrolysis of waste keratin. Potential model applications include to dynamically optimize this second process stage by computing optimal dosage strategies (keratin deposit intervals and volume) to minimize processing time and cost to dispose or repurpose the biochemical waste.",
keywords = "Keratin, Enzymatic hydrolysis, Dynamic modelling, Parameter estimation",
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Rodman, A, Falco, F, Gerogiorgis, DI & Gernaey, KV 2018, Enzymatic keratin hydrolysis: Dynamic modelling, parameter estimation and validation. in A Friedl, J J. Klemeš, S Radl, P S. Varbanov & T Wallek (eds), Proceedings of the 28th European Symposium on Computer Aided Process Engineering – ESCAPE 28. vol. 43, Elsevier, Computer Aided Chemical Engineering, pp. 1553-1558, 28th European Symposium on Computer Aided Process Engineering (Escape 28), Graz, Austria, 10/06/2018. https://doi.org/10.1016/B978-0-444-64235-6.50271-0

Enzymatic keratin hydrolysis: Dynamic modelling, parameter estimation and validation. / Rodman, Alistair; Falco, Francesco; Gerogiorgis, Dimitrios I.; Gernaey, Krist V.

Proceedings of the 28th European Symposium on Computer Aided Process Engineering – ESCAPE 28. ed. / Anton Friedl; Jiří J. Klemeš; Stefan Radl; Petar S. Varbanov; Thomas Wallek. Vol. 43 Elsevier, 2018. p. 1553-1558 (Computer Aided Chemical Engineering).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Enzymatic keratin hydrolysis: Dynamic modelling, parameter estimation and validation

AU - Rodman, Alistair

AU - Falco, Francesco

AU - Gerogiorgis, Dimitrios I.

AU - Gernaey, Krist V.

PY - 2018

Y1 - 2018

N2 - Keratin rich waste material is an abundant by-product from the agroindustry, particularly the meat and poultry industries: skin remains, bristle, animal hair, horns and hooves, feathers, etc. This waste may not be incinerated due to environmental concerns, so producers seek waste valorization by upcycling this non-biodegradable by-product by depolymerization to extract soluble proteins, which can be used as animal feed supplements. This can be performed thermally, however high temperature processing destroys amino acids which are necessary in the product and are costly to later supplement. A novel two-stage enzymatic de-polymerization process for keratin is being investigated. The first stage involves growing the microbial keratinases on a substrate sample, and is optimized for maximal enzyme production. The second stage uses the keratinases in a bioreactor optimized for substrate hydrolysis. The enzymatic hydrolysis mechanism for keratin is not well documented rendering current the current industrial application limited. This paper presents lab scale experimental results from the second (hydrolysis) stage using a keratinolytic enzymatic cocktail with the filamentous bacterium Amycolatopsis keratiniphila D2 (DSM 44409). Dynamic state data for the product (protein) and substrate (keratin) concentrations following varying substrate loading has been used to construct the first reduced order model for the enzymatic hydrolysis of waste keratin. Potential model applications include to dynamically optimize this second process stage by computing optimal dosage strategies (keratin deposit intervals and volume) to minimize processing time and cost to dispose or repurpose the biochemical waste.

AB - Keratin rich waste material is an abundant by-product from the agroindustry, particularly the meat and poultry industries: skin remains, bristle, animal hair, horns and hooves, feathers, etc. This waste may not be incinerated due to environmental concerns, so producers seek waste valorization by upcycling this non-biodegradable by-product by depolymerization to extract soluble proteins, which can be used as animal feed supplements. This can be performed thermally, however high temperature processing destroys amino acids which are necessary in the product and are costly to later supplement. A novel two-stage enzymatic de-polymerization process for keratin is being investigated. The first stage involves growing the microbial keratinases on a substrate sample, and is optimized for maximal enzyme production. The second stage uses the keratinases in a bioreactor optimized for substrate hydrolysis. The enzymatic hydrolysis mechanism for keratin is not well documented rendering current the current industrial application limited. This paper presents lab scale experimental results from the second (hydrolysis) stage using a keratinolytic enzymatic cocktail with the filamentous bacterium Amycolatopsis keratiniphila D2 (DSM 44409). Dynamic state data for the product (protein) and substrate (keratin) concentrations following varying substrate loading has been used to construct the first reduced order model for the enzymatic hydrolysis of waste keratin. Potential model applications include to dynamically optimize this second process stage by computing optimal dosage strategies (keratin deposit intervals and volume) to minimize processing time and cost to dispose or repurpose the biochemical waste.

KW - Keratin

KW - Enzymatic hydrolysis

KW - Dynamic modelling

KW - Parameter estimation

U2 - 10.1016/B978-0-444-64235-6.50271-0

DO - 10.1016/B978-0-444-64235-6.50271-0

M3 - Article in proceedings

VL - 43

SP - 1553

EP - 1558

BT - Proceedings of the 28th European Symposium on Computer Aided Process Engineering – ESCAPE 28

A2 - Friedl, Anton

A2 - J. Klemeš, Jiří

A2 - Radl, Stefan

A2 - S. Varbanov, Petar

A2 - Wallek, Thomas

PB - Elsevier

ER -

Rodman A, Falco F, Gerogiorgis DI, Gernaey KV. Enzymatic keratin hydrolysis: Dynamic modelling, parameter estimation and validation. In Friedl A, J. Klemeš J, Radl S, S. Varbanov P, Wallek T, editors, Proceedings of the 28th European Symposium on Computer Aided Process Engineering – ESCAPE 28. Vol. 43. Elsevier. 2018. p. 1553-1558. (Computer Aided Chemical Engineering). https://doi.org/10.1016/B978-0-444-64235-6.50271-0