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Cited by 271

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Extraction and Isolation of Lignin for Utilization as a Standard to Determine Lignin Concentration Using the Acetyl Bromide Spectrophotometric Method

Fukushima, Romualdo S., Hatfield, Ronald D.·2001·Journal of Agricultural and Food Chemistry

Abstract

Lignin extracted with acidic dioxane was investigated as a possible standard for quantitatively determining lignin content in plant samples using the spectrophotometric method employing acetyl bromide. Acidic dioxane lignins were analyzed for carbohydrate, total protein, nitrobenzene oxidation products, and UV spectral characteristics. Total carbohydrate content of isolated lignins ranged from 2.21 to 5.70%, while protein ranged from 0.95 to 6.06% depending upon the plant source of the original cell wall sample. Nitrobenzene analysis indicated differences in the amount of guaiacyl and syringyl units making up the lignins, but this did not alter the UV spectrum of lignin solubilized in acetyl bromide. Regression equations developed for the acetyl bromide method using the isolated lignins for all the plant samples were similar to each other. Lignin values obtained by the acetyl bromide method were similar to the lignin values obtained as acid insoluble residues following a Klason lignin procedure.

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Metadata

Authors
Fukushima, R. S., & Hatfield, R. D.
Venue
Journal of Agricultural and Food Chemistry
Published
2001-06-20
Volume
49
Issue
7
Pages
3133-3139
ISSN
  • 0021-8561 (ISSN-L)
  • 1520-5118
OpenAlex
W2075385385
Cited by
271
References
2
FWCI
3.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Extraction and Isolation of Lignin for Utilization as a Standard to Determine Lignin Concentration Using the Acetyl Bromide Spectrophotometric Method. https://app.cochat.ai/papers/10.1021/jf010449r
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Fukushima, R. S., & Hatfield, R. D. (2001). Extraction and Isolation of Lignin for Utilization as a Standard to Determine Lignin Concentration Using the Acetyl Bromide Spectrophotometric Method. Journal of Agricultural and Food Chemistry. https://doi.org/10.1021/jf010449r

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