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Lignin recovery from cocoa bean shell using microwave-assisted extraction and deep eutectic solvents

Mao, Yujie ; Gerrow, Alex ; Ray, Ella ; Perez, Nidia Diaz ; Edler, Karen LU orcid ; Wolf, Bettina and Binner, Eleanor (2023) In Bioresource Technology 372.
Abstract

Lignin is the second most abundant natural polymer after cellulose, and valorisation of lignin-rich streams has attracted increasing attention recently. This paper presents a novel and sustainable method to recover lignin from Cocoa Bean Shells (CBS) using Deep Eutectic Solvents (DES) and microwaves. A DES containing p-toluenesulfonic acid, choline chloride and glycerol (2:1:1 M ratio) was selected based on its dielectric properties. Under 200 W microwave power, the optimum yield of 95.5 % lignin was achieved at 130 °C and 30 min. DES-extracted lignin exhibited unique structural characteristics including larger particle sizes (242.5 µm D50 size), structural diversity (410.4 µm D90-D10 size) and H/G sub-unit ratio (71.9 %) compared with... (More)

Lignin is the second most abundant natural polymer after cellulose, and valorisation of lignin-rich streams has attracted increasing attention recently. This paper presents a novel and sustainable method to recover lignin from Cocoa Bean Shells (CBS) using Deep Eutectic Solvents (DES) and microwaves. A DES containing p-toluenesulfonic acid, choline chloride and glycerol (2:1:1 M ratio) was selected based on its dielectric properties. Under 200 W microwave power, the optimum yield of 95.5 % lignin was achieved at 130 °C and 30 min. DES-extracted lignin exhibited unique structural characteristics including larger particle sizes (242.5 µm D50 size), structural diversity (410.4 µm D90-D10 size) and H/G sub-unit ratio (71.9 %) compared with commercial Kraft lignin (77.2 µm, 157.9 µm and 0.1 % respectively), indicating the potential of DES in the modification and upgrading of lignin for novel value-added products.

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Deep eutectic solvents, Dielectric properties, Lignin, Microwave-assisted extraction, Waste valorisation
in
Bioresource Technology
volume
372
article number
128680
publisher
Elsevier
external identifiers
  • pmid:36706816
  • scopus:85146876640
ISSN
0960-8524
DOI
10.1016/j.biortech.2023.128680
language
English
LU publication?
yes
id
452eea2b-2df0-4f16-98d1-3d3c28751f5a
date added to LUP
2023-02-10 14:50:27
date last changed
2024-06-27 06:05:55
@article{452eea2b-2df0-4f16-98d1-3d3c28751f5a,
  abstract     = {{<p>Lignin is the second most abundant natural polymer after cellulose, and valorisation of lignin-rich streams has attracted increasing attention recently. This paper presents a novel and sustainable method to recover lignin from Cocoa Bean Shells (CBS) using Deep Eutectic Solvents (DES) and microwaves. A DES containing p-toluenesulfonic acid, choline chloride and glycerol (2:1:1 M ratio) was selected based on its dielectric properties. Under 200 W microwave power, the optimum yield of 95.5 % lignin was achieved at 130 °C and 30 min. DES-extracted lignin exhibited unique structural characteristics including larger particle sizes (242.5 µm D50 size), structural diversity (410.4 µm D90-D10 size) and H/G sub-unit ratio (71.9 %) compared with commercial Kraft lignin (77.2 µm, 157.9 µm and 0.1 % respectively), indicating the potential of DES in the modification and upgrading of lignin for novel value-added products.</p>}},
  author       = {{Mao, Yujie and Gerrow, Alex and Ray, Ella and Perez, Nidia Diaz and Edler, Karen and Wolf, Bettina and Binner, Eleanor}},
  issn         = {{0960-8524}},
  keywords     = {{Deep eutectic solvents; Dielectric properties; Lignin; Microwave-assisted extraction; Waste valorisation}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Bioresource Technology}},
  title        = {{Lignin recovery from cocoa bean shell using microwave-assisted extraction and deep eutectic solvents}},
  url          = {{http://dx.doi.org/10.1016/j.biortech.2023.128680}},
  doi          = {{10.1016/j.biortech.2023.128680}},
  volume       = {{372}},
  year         = {{2023}},
}