Resin selection for the separation of caffeine from green tea catechins

David Méndez Sevillano; Luuk A.M. Van Der Wielen; Nasim Hooshyar; Marcel Ottens

doi:10.1016/j.fbp.2014.02.002

Resin selection for the separation of caffeine from green tea catechins

David Méndez Sevillano, Luuk A.M. Van Der Wielen, Nasim Hooshyar, Marcel Ottens

Research output: Contribution to journal › Article › peer-review

Abstract

This work focuses on the rapid selection of a resin from a defined set of macroporous polymeric resins for the decaffeination of catechins from green tea. High-throughput experimentation and design of experiments are used in order to retrieve as much information as possible from a small set of experiments on the interaction of components with the resins. A multicomponent Langmuir isotherm model is used to describe the adsorption and parameters are regressed with high accuracy. These parameters are subsequently used for the definition of criteria to calculate a weighted resin score. The optimal resin is Diaion 20HP with a score of 90.50%, mainly due to its good selectivity for caffeine over catechin (3).

Original language	English
Pages (from-to)	192-198
Number of pages	7
Journal	Food and Bioproducts Processing
Volume	92
Issue number	2
DOIs	https://doi.org/10.1016/j.fbp.2014.02.002
Publication status	Published - Apr 2014
Externally published	Yes

Keywords

Caffeine
Catechins
Green tea
High throughput experimentation
Macroporous polymeric resins
Resin selection

Access to Document

10.1016/j.fbp.2014.02.002

Cite this

@article{012c1e30fa8b413f8bf9d8553099966e,

title = "Resin selection for the separation of caffeine from green tea catechins",

abstract = "This work focuses on the rapid selection of a resin from a defined set of macroporous polymeric resins for the decaffeination of catechins from green tea. High-throughput experimentation and design of experiments are used in order to retrieve as much information as possible from a small set of experiments on the interaction of components with the resins. A multicomponent Langmuir isotherm model is used to describe the adsorption and parameters are regressed with high accuracy. These parameters are subsequently used for the definition of criteria to calculate a weighted resin score. The optimal resin is Diaion 20HP with a score of 90.50%, mainly due to its good selectivity for caffeine over catechin (3).",

keywords = "Caffeine, Catechins, Green tea, High throughput experimentation, Macroporous polymeric resins, Resin selection",

author = "Sevillano, {David M{\'e}ndez} and {Van Der Wielen}, {Luuk A.M.} and Nasim Hooshyar and Marcel Ottens",

year = "2014",

month = apr,

doi = "10.1016/j.fbp.2014.02.002",

language = "English",

volume = "92",

pages = "192--198",

journal = "Food and Bioproducts Processing",

issn = "0960-3085",

number = "2",

}

TY - JOUR

T1 - Resin selection for the separation of caffeine from green tea catechins

AU - Sevillano, David Méndez

AU - Van Der Wielen, Luuk A.M.

AU - Hooshyar, Nasim

AU - Ottens, Marcel

PY - 2014/4

Y1 - 2014/4

N2 - This work focuses on the rapid selection of a resin from a defined set of macroporous polymeric resins for the decaffeination of catechins from green tea. High-throughput experimentation and design of experiments are used in order to retrieve as much information as possible from a small set of experiments on the interaction of components with the resins. A multicomponent Langmuir isotherm model is used to describe the adsorption and parameters are regressed with high accuracy. These parameters are subsequently used for the definition of criteria to calculate a weighted resin score. The optimal resin is Diaion 20HP with a score of 90.50%, mainly due to its good selectivity for caffeine over catechin (3).

AB - This work focuses on the rapid selection of a resin from a defined set of macroporous polymeric resins for the decaffeination of catechins from green tea. High-throughput experimentation and design of experiments are used in order to retrieve as much information as possible from a small set of experiments on the interaction of components with the resins. A multicomponent Langmuir isotherm model is used to describe the adsorption and parameters are regressed with high accuracy. These parameters are subsequently used for the definition of criteria to calculate a weighted resin score. The optimal resin is Diaion 20HP with a score of 90.50%, mainly due to its good selectivity for caffeine over catechin (3).

KW - Caffeine

KW - Catechins

KW - Green tea

KW - High throughput experimentation

KW - Macroporous polymeric resins

KW - Resin selection

UR - http://www.scopus.com/inward/record.url?scp=84898933714&partnerID=8YFLogxK

U2 - 10.1016/j.fbp.2014.02.002

DO - 10.1016/j.fbp.2014.02.002

M3 - Article

AN - SCOPUS:84898933714

SN - 0960-3085

VL - 92

SP - 192

EP - 198

JO - Food and Bioproducts Processing

JF - Food and Bioproducts Processing

IS - 2

ER -

Resin selection for the separation of caffeine from green tea catechins

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this