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Cited by 478

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Food waste biomass: a resource for high-value chemicals

Pfaltzgraff, Lucie A., De bruyn, Mario, Cooper, Emma C., Budarin, Vitaly, Clark, James H.·2013·Green Chemistry

Abstract

Our society currently faces the twin challenges of resource depletion and waste accumulation leading to rapidly escalating raw material costs and increasingly expensive and restrictive waste disposal legislation. The variety of food processes used in the food and drink industry globally generate food supply chain waste on a multi tonne scale every year. Such resides include wheat straw surpluses, spent coffee grounds or citrus peels, all of which represent a resource for an integrated, product focused biorefinery. Orange peel is particularly interesting: pectin and D-limonene, two marketable components, can be produced together with several flavonoids under the same conditions at a litre scale using low temperature microwave treatment. The running costs for such a process on large scale (50 000 metric tonnes per annum) have been estimated on the basis of the combined production of pectin and D-limonene.

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Crossref · 10.1039/c2gc36978h

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Metadata

Authors
Pfaltzgraff, L. A., De bruyn, M., Cooper, E. C., Budarin, V., & Clark, J. H.
Venue
Green Chemistry
Published
2013
Volume
15
Issue
2
Pages
307
ISSN
  • 1463-9262 (ISSN-L)
  • 1463-9270
OpenAlex
W2070083130
Cited by
478
References
3
FWCI
17.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Food waste biomass: a resource for high-value chemicals. https://app.cochat.ai/papers/10.1039/c2gc36978h
The paper
Pfaltzgraff, L. A., De bruyn, M., Cooper, E. C., Budarin, V., & Clark, J. H. (2013). Food waste biomass: a resource for high-value chemicals. Green Chemistry. https://doi.org/10.1039/c2gc36978h

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.