Near-infrared spectroscopy and chemometric analysis for determining oxygen delignification yield

Yunqiao Pu; Arthur J. Ragauskas; Lucian A. Lucia; Ved Naithani; Hasan Jameel

doi:10.1080/02773810802125008

Near-infrared spectroscopy and chemometric analysis for determining oxygen delignification yield

Yunqiao Pu, Arthur J. Ragauskas, Lucian A. Lucia, Ved Naithani, Hasan Jameel

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

Oxygen delignification studies were carried out using a softwood kraft pulp under varying reaction temperatures (80-140°C) and alkaline charges (1-12%). Near-infrared (NIR) spectroscopy combined with chemometric methods was employed to analyze oxygen delignification pulp yields, which were compared to gravimetric analysis. Principal component analysis (PCA) of the NIR spectra data was performed and a partial least-square (PLS) regression model was developed to predict the pulp yield of oxygen delignified pulps based on the NIR spectra data. PCA analysis indicated that 99.1% of total variances of NIR spectra data in the range of 1100-2266 nm could be expressed by three principle components. A PLS1 model based on the NIR spectra data had good predictive ability and appeared to be an effective tool for pulp yield prediction for the oxygen delignification process.

Original language	English
Pages (from-to)	122-136
Number of pages	15
Journal	Journal of Wood Chemistry and Technology
Volume	28
Issue number	2
DOIs	https://doi.org/10.1080/02773810802125008
State	Published - Apr 2008
Externally published	Yes

Funding

Keywords: Kraft softwood pulp, near-infrared, oxygen delignification, partial least-square regression, principal component analysis, yield The authors sincerely recognize Professor Hou-min Chang’s life-long contribution to the wood chemistry community and its science and engineering. We also thank the U.S. Department of Energy (DOE) and the member companies of the Institute of Paper Science and Technology for their support of this research. This manuscript was prepared, in part, with the support of DOE Cooperative Agreement No. DE-FC07-00ID13870. However, any opinions, findings, conclusions, or recommendations expressed herein are those of the author(s) and do not necessarily reflect the views of the DOE.

Funders	Funder number
Institute of Paper Science and Technology	DE-FC07-00ID13870
U.S. Department of Energy

Keywords

Kraft softwood pulp
Near-infrared
Oxygen delignification
Partial least-square regression
Principal component analysis
Yield

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10.1080/02773810802125008

Cite this

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title = "Near-infrared spectroscopy and chemometric analysis for determining oxygen delignification yield",

abstract = "Oxygen delignification studies were carried out using a softwood kraft pulp under varying reaction temperatures (80-140°C) and alkaline charges (1-12%). Near-infrared (NIR) spectroscopy combined with chemometric methods was employed to analyze oxygen delignification pulp yields, which were compared to gravimetric analysis. Principal component analysis (PCA) of the NIR spectra data was performed and a partial least-square (PLS) regression model was developed to predict the pulp yield of oxygen delignified pulps based on the NIR spectra data. PCA analysis indicated that 99.1% of total variances of NIR spectra data in the range of 1100-2266 nm could be expressed by three principle components. A PLS1 model based on the NIR spectra data had good predictive ability and appeared to be an effective tool for pulp yield prediction for the oxygen delignification process.",

keywords = "Kraft softwood pulp, Near-infrared, Oxygen delignification, Partial least-square regression, Principal component analysis, Yield",

author = "Yunqiao Pu and Ragauskas, {Arthur J.} and Lucia, {Lucian A.} and Ved Naithani and Hasan Jameel",

year = "2008",

month = apr,

doi = "10.1080/02773810802125008",

language = "English",

volume = "28",

pages = "122--136",

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TY - JOUR

T1 - Near-infrared spectroscopy and chemometric analysis for determining oxygen delignification yield

AU - Pu, Yunqiao

AU - Ragauskas, Arthur J.

AU - Lucia, Lucian A.

AU - Naithani, Ved

AU - Jameel, Hasan

PY - 2008/4

Y1 - 2008/4

N2 - Oxygen delignification studies were carried out using a softwood kraft pulp under varying reaction temperatures (80-140°C) and alkaline charges (1-12%). Near-infrared (NIR) spectroscopy combined with chemometric methods was employed to analyze oxygen delignification pulp yields, which were compared to gravimetric analysis. Principal component analysis (PCA) of the NIR spectra data was performed and a partial least-square (PLS) regression model was developed to predict the pulp yield of oxygen delignified pulps based on the NIR spectra data. PCA analysis indicated that 99.1% of total variances of NIR spectra data in the range of 1100-2266 nm could be expressed by three principle components. A PLS1 model based on the NIR spectra data had good predictive ability and appeared to be an effective tool for pulp yield prediction for the oxygen delignification process.

AB - Oxygen delignification studies were carried out using a softwood kraft pulp under varying reaction temperatures (80-140°C) and alkaline charges (1-12%). Near-infrared (NIR) spectroscopy combined with chemometric methods was employed to analyze oxygen delignification pulp yields, which were compared to gravimetric analysis. Principal component analysis (PCA) of the NIR spectra data was performed and a partial least-square (PLS) regression model was developed to predict the pulp yield of oxygen delignified pulps based on the NIR spectra data. PCA analysis indicated that 99.1% of total variances of NIR spectra data in the range of 1100-2266 nm could be expressed by three principle components. A PLS1 model based on the NIR spectra data had good predictive ability and appeared to be an effective tool for pulp yield prediction for the oxygen delignification process.

KW - Kraft softwood pulp

KW - Near-infrared

KW - Oxygen delignification

KW - Partial least-square regression

KW - Principal component analysis

KW - Yield

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DO - 10.1080/02773810802125008

M3 - Article

AN - SCOPUS:46749126277

SN - 0277-3813

VL - 28

SP - 122

EP - 136

JO - Journal of Wood Chemistry and Technology

JF - Journal of Wood Chemistry and Technology

IS - 2

ER -

Near-infrared spectroscopy and chemometric analysis for determining oxygen delignification yield

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Keywords

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