Comparative Evaluation of Analytical Techniques Used in Estimating Acetylation of Lignocellulosic Materials

Authors

  • Jude C. Onwuka Department of Science Laboratory Technology, Federal University of Lafia, PMB 146, Nasarawa State – Nigeria Author https://orcid.org/0000-0003-2950-8273
  • Imam Akeyede Department of Mathematics and Statistics, Federal University of Lafia, PMB 146, Nasarawa State – Nigeria Author
  • Enebi Estella Jasper Department of Chemical Sciences, Dennis Osadebay University, Asaba, Delta State – Nigeria Author

DOI:

https://doi.org/10.62050/ljsir2023.v1n1.265

Keywords:

Weight percent gain, degree of substitution, Box’s M, Multivariate analysis, Duncan analysis, Acetylation

Abstract

 The techniques commonly used in estimating the extent of acetylation are based on the principle of substituting hydroxyl groups with acetyl groups. In this study, three lignocellulosic materials were modified using a solvent-free method of acetylation with NBS (N – bromosuccinimide) as a catalyst. The extent of modification of these materials was estimated using three techniques – weight percent gain (WPG), extent of acetylation (R), and degree of substitution (DS). Six (6) factors were considered in the acetylation of the lignocellulosic materials. Equality of variance – covariance matrices of the techniques across the factors in all the materials were tested with Box’s M test. The performance and response of the techniques to variation of the factors studied were compared statistically using multivariate analysis (MANOVA) and Duncan multiple range test. MANOVA results showed no statistical difference in the response of the techniques towards variation of the factors studied in acetylating these materials. However, it also showed that there was a significant difference in the performance of the techniques used in estimating the extent of acetylation. Duncan multiple range test analysis indicated that WPG performed best in estimating the extent of acetylation. Thus, any of the techniques can be used to estimate the extent of acetylation satisfactorily.

 

 

 

Downloads

Download data is not yet available.

References

Bello – Pérez L. A., Agama – Acevedo E., Zamudio – Flores P. B., Mendez – Montealvo G., Rodriguez – Ambriz S. L. Effect of low and high acetylation degree in the morphological, physicochemical and structural characteristics of barley starch. LWT – Food Science and Technology, 2010; 43: 1434 – 1440. https://doi.org/10.1016/j.lwt.2010.04.003

Adebajo M. O., Frost R. L. Acetylation of raw cotton for oil spill cleanup application: an FTIR and 13C MAS NMR spectroscopic investigation. Spectrochim. A. Part A: Mol. Biomol. Spectrosc. 2004; 60(10): 2315-2321. https://doi.org/10.1016/j.saa.2003.12.005

Stevens J. P. Applied multivariate statistics for the social sciences. Mahwah, NJ: Lawrence Erlbaum Associates; 2002.

Zientek L. R., Thompson B. Matrix summaries improve research reports: Secondary analyses using published literature. ER. 2009; 8: 343 – 352. https://doi.org/10.3102/0013189X09339056

Thompson B. Foundations of behavioral statistics. New York, NY: The Guilford Press; 2006.

Huberty C. J., Morris J. D. Multivariate analysis versus multiple univariate analyses. Psychol. Bull. 1989; 105: 302 – 308. https://doi.org/10.1037/0033-2909.105.2.302

Thomas D. R. Interpreting discriminant functions: A data analytic approach. Multivariate Behav. Res. 1992; 27: 335 – 362. https://doi.org/10.1207/s15327906mbr2703_3

Whitely E., Ball J. Statistics review 5: Comparison of means. Crit. Care. 2002; 6: 424 – 428. https://doi.org/10.1186/cc1548

Bewick V., Cheek L., Ball J. Statistics review 9: One-way analysis of variance. Crit. Care. 2004: 8(2): 130 – 136. https://doi.org/10.1186/cc2836

Sun X. F., Sun R. C., Sun J. X. Acetylation of Sugarcane Bagasse Using NBS as a Catalyst under Mild Reaction Conditions for the Production of Oil Sorption – Active Materials. Bioresour. Technol. 2004; 95(3): 343 – 350. https://doi.org/10.1016/j.biortech.2004.02.025

Thompson N. E., Emmanuel G. C., Adagadzu K. J., Yusuf N. B. Sorption studies of crude oil on acetylated rice husks. Arch. Appl. Sci. Res. 2010; 2 (5): 142 – 151.

Azeh Y., Olatunji G. A., Mohammed C., Mamza P. A. Acetylation of Wood Flour from Four Wood Species Grown in Nigeria Using Vinegar and Acetic Anhydride. Int. J. Carbohydr. 2013; 3: 456 – 67. https://doi.org/10.1155/2013/141034

Sodhi N. S., Singh N. Characteristics of acetylated starches prepared using starches separated from different rice cultivars. J. Food Eng. 2005; 70: 117 – 127. https://doi.org/10.1016/j.jfoodeng.2004.09.018

Hinkle D. E., Wlersma W., Jurs S. G. Applied Statistics for the Behavioral Sciences, Houghton, Mifflin, and Boston; 1998. https://doi.org/10.3102/10769986015001084

Tabachnick B. G., Fidell L. S. Using Multivariate Statistics. New York: Harper Collins, 2nd ed; 2001.

Huberty C. J., Olejnik S. Applied MANOVA and discriminant analysis. Hoboken, NJ: John Wiley & Sons; 2006. https://onlinelibrary.wiley.com/doi/book/10.1002/047178947X

Brace P., Kevin A., Martin J., Stacy G. U. “Reprint of Correction: Does State Political Ideology Change Over Time?” Polit. Res. Q. 2006; 59: 493–4.

Coakes S. J., Steed L. G. SPSS: Analysis without anguish: version 14.0 for Windows. Brisbane: John Wiley & Sons Australia Ltd; 2007. https://archive.org/details/spssversion140fo0000coak

Haase R. F., Ellis M. V. Multivariate analysis of variance. J. Couns. Psychol. 1987; 34: 404 – 413. https://doi.org/10.1037/0022-0167.34.4.404

front

Downloads

Published

2023-10-31

How to Cite

Comparative Evaluation of Analytical Techniques Used in Estimating Acetylation of Lignocellulosic Materials. (2023). Lafia Journal of Scientific and Industrial Research, 1(1 & 2), 12-17. https://doi.org/10.62050/ljsir2023.v1n1.265

Most read articles by the same author(s)

1 2 3 4 5 > >> 

Similar Articles

1-10 of 18

You may also start an advanced similarity search for this article.