Literature DB >> 25863400

Multivariate analysis of coconut residues by near infrared spectroscopy.

M K D Rambo1, A R Alves2, W T Garcia2, M M C Ferreira3.   

Abstract

Near infrared (NIR) spectroscopy was used to determine the content of Klason lignin, acid-soluble lignin, total lignin, extractives, ash, acid-insoluble residue, glucose, xylose, rhamnose, galactose, arabinose, mannose and total sugars in coconut residues. The samples were analyzed at several processing stages: wet unground (WU), dried unground (DU) and dried and sieved (DS). Partial least squares models were built, and the models for the analytes exhibited R(2)>0.80, with the exceptions of rhamnose, arabinose, galactose, mannose and ash from all fractions, and the lignin content from the WU fraction, which were predicted poorly (R(2)<0.70). There were some significant differences between the models for the main lignocellulosic components at the various stages of biomass. These results proved that NIR spectroscopy is useful for analysis at biorefineries, and it can be used as a faster and more economical alternative to the standard methods.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomass residue; Chemical composition; Chemometrics; Figures of merit; Monosaccharide

Mesh:

Substances:

Year:  2015        PMID: 25863400     DOI: 10.1016/j.talanta.2015.03.014

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  2 in total

Review 1.  Contemporary Developments and Emerging Trends in the Application of Spectroscopy Techniques: A Particular Reference to Coconut (Cocos nucifera L.).

Authors:  Ravi Pandiselvam; Rathnakumar Kaavya; Sergio I Martinez Monteagudo; V Divya; Surangna Jain; Anandu Chandra Khanashyam; Anjineyulu Kothakota; V Arun Prasath; S V Ramesh; N U Sruthi; Manoj Kumar; M R Manikantan; Chinnaraja Ashok Kumar; Amin Mousavi Khaneghah; Daniel Cozzolino
Journal:  Molecules       Date:  2022-05-19       Impact factor: 4.927

2.  Rapid determination of chemical composition and classification of bamboo fractions using visible-near infrared spectroscopy coupled with multivariate data analysis.

Authors:  Zhong Yang; Kang Li; Maomao Zhang; Donglin Xin; Junhua Zhang
Journal:  Biotechnol Biofuels       Date:  2016-02-09       Impact factor: 6.040

  2 in total

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