Algal polysaccharides for 3D printing: A review

Mandal, Shovon; Nagi, Gurpreet Kaur; Corcoran, Alina A.; Agrawal, Ruchi; Dubey, Mukul; Hunt, Ryan W.

doi:10.1016/j.carbpol.2022.120267

Cited by 44 publications

(24 citation statements)

References 228 publications

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“…The convergence of ML, 3D printing, and biopolymers derived from algae is a cutting-edge field brimming with opportunities [37,[108][109][110]. It paves the way for novel applications across various industries and poses significant challenges.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

“…76 and Mandal et al. 108 pinpointing difficulties associated with their infusibility and insolubility in common solvents.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

“…[76] and Mandal et al[108] pinpointing difficulties associated with their infusibility and insolubility in common solvents.Modifying printers, developing novel solvent systems, and manipulating multiple biopolymers emerge as potential areas of future research. Research has been directed towards the development of novel solvents and printer modifications to address the infusibility and insolubility of natural biopolymers.…”

mentioning

confidence: 99%

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Advancing 3D Printing through Integration of Machine Learning with Algae‐Based Biopolymers

Bin Abu Sofian,

Lim,

Chew

et al. 2024

ChemBioEng Reviews

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The integration of machine learning (ML) with algae‐derived biopolymers in 3D printing is a burgeoning area with the potential to revolutionize various industries. This review article delves into the challenges and advancements in this field, starting with the critical problem it addresses the need for sustainable and efficient additive manufacturing processes. Algae‐based biopolymers, such as alginate and carrageenan, are explored for their viability in 3D printing, highlighting their environmental benefits and technical challenges. The role of ML in enhancing material selection, predictive modeling, and quality control is examined, showcasing how this synergy leads to significant improvements in 3D printing processes. Key findings include the enhanced mechanical properties of algae‐based biopolymers and the optimization of printing parameters through ML algorithms. Examples like the use of Spirulina in creating a range of materials and the application of carrageenan in bone tissue engineering are discussed. The conclusion underscores the transformative impact of combining ML with algae‐based biopolymers in 3D printing, paving the way for innovative, sustainable solutions in additive manufacturing. Despite existing challenges, this integration holds promise for a future of advanced, eco‐friendly manufacturing techniques.

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Section: Challenges and Future Directionsmentioning

confidence: 99%

“…76 and Mandal et al. 108 pinpointing difficulties associated with their infusibility and insolubility in common solvents.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

mentioning

confidence: 99%

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Advancing 3D Printing through Integration of Machine Learning with Algae‐Based Biopolymers

Bin Abu Sofian,

Lim,

Chew

et al. 2024

ChemBioEng Reviews

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“…Algae can form hydrogels, especially from their polysaccharides, through physical crosslinking, defined as noncovalent bonding dependent on weak molecular interactions such as hydrogen bonds, causing reversible gel formation (Lee et al, 2012;Martin and Ballet, 2021). Various polysaccharides can form ideal hydrogels for biomedical applications, including ulvan, starch, agarose, porphyrin, and cellulose (Beaumont et al, 2021;Mandal et al, 2022;Lin et al, 2022).…”

Section: Natural Biomaterials Properties Of Algaementioning

confidence: 99%

Algal-derived macromolecules and their composites: From synthetic biology to biomedical applications in bone and cardiovascular tissue engineering

Mayulu

Taslim²,

Hardinsyah³

et al. 2023

F1000Res

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Algae have shown numerous advantages as biofunctional and bioactive material sources. The development of biosynthetic or synthetic materials has enabled algal-derived macromolecules and their derivatives to be used in biomedical applications. This review examines and analyzes the most recent developments in the production of biomaterials from algal-derived macromolecules and their composites and their potential applications in bone and cardiovascular tissue engineering. Several macromolecules derived from algal polysaccharides, including sulfated polysaccharides, fucoidans, and fucans, have been developed for cartilage, intervertebral disc, bone, and skeletal muscle transplants because of their stable structures. Alginates, fucoidans, chitin, porphyrin, and other algal polysaccharide derivatives have been investigated for engineering blood vessels, heart valves, and even the liver. One advantage of algal-derived macromolecules and composites is their safe immunity properties. This review also highlights cutting-edge developments in applying algal-derived macromolecules with a broader biomedical scope to encourage in-depth research into their potential as biomaterial scaffolds in medical applications.

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“…Agarose is a non-ionic linear polysaccharide consisting of the repeating unit of neoagarobiose disaccharide, in which 3,6-anhydro-α- l -galactose is α-1,3-linked to β- d -galactose and resulting neoagarobiose is linked by β-1,4 glycosidic bond between β- d -galactose and 3,6-anhydro-α- l -galactose (Chi et al 2012 ; Duckworth and Yaphe 1971 ; Hehemann et al 2012 ). Agaropectin has the same repeating units heavily modified with anionic groups such as –OSO 3 −, –OCH 3 , glucuronate, or pyruvate residues (Chi et al 2012 ; Duckworth and Yaphe 1971 ; Mandal et al 2023 ; Wang et al 2012 ). The difference in their ionic charges has been applicated to the separation of agarose from agaropectin.…”

Section: Introductionmentioning

confidence: 99%

Extracellular production of a thermostable Cellvibrio endolytic β-agarase in Escherichia coli for agarose liquefaction

2023

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Four GH16 family β-agarases (GH16A, GH16B, GH16C, and GH16D), originated from an agarolytic bacterium Cellvibrio sp. KY-GH-1, were expressed in an Escherichia coli system and their activities were compared. Only GH16B (597 amino acids, 63.8 kDa), with N-terminal 22-amino acid signal sequence, was secreted into the culture supernatant and demonstrated a robust endolytic agarose hydrolyzing activity for producing neoagarotetraose (NA4) and neoagarohexaose (NA6) as end products. The optimal temperature and pH for the enzyme activity were 50 °C and 7.0, respectively. The enzyme was stable up to 50 °C and over a pH range of 5.0–8.0. The kinetic parameters, including Km, Vmax, kcat, and kcat/Km, of GH16B β-agarases for agarose were 14.40 mg/mL, 542.0 U/mg, 576.3 s−1, and 4.80 × 106 s−1 M−1, respectively. The addition of 1 mM MnCl2 and 15 mM tris(2-carboxyethyl)phosphine enhanced the enzymatic activity. When agarose or neoagaro-oligosaccharides were used as substrates, the end products of enzymatic catalysis were NA4 and NA6, whereas agaropentaose was produced along with NA4 and NA6 when agaro-oligosaccharides were used as substrates. Treatment of 9%[w/v] melted agarose with the enzyme (1.6 µg/mL) under continuous magnetic stirring at 50 °C for 14 h resulted in efficient agarose liquefaction into NA4 and NA6. Purification of NA4 and NA6 from the enzymatic hydrolysate (9%[w/v] agarose, 20 mL) via Sephadex G-15 column chromatography yielded ~ 650 mg NA4/~ 900 mg NA6 (i.e., ~ 85.3% of the theoretical maximum yield). These findings suggest that the recombinant thermostable GH16B β-agarase is useful for agarose liquefaction to produce NA4 and NA6. Graphical Abstract

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Algal polysaccharides for 3D printing: A review

Cited by 44 publications

References 228 publications

Advancing 3D Printing through Integration of Machine Learning with Algae‐Based Biopolymers

Advancing 3D Printing through Integration of Machine Learning with Algae‐Based Biopolymers

Algal-derived macromolecules and their composites: From synthetic biology to biomedical applications in bone and cardiovascular tissue engineering

Extracellular production of a thermostable Cellvibrio endolytic β-agarase in Escherichia coli for agarose liquefaction

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