The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Determination of the Number-Average Degree of Polymerization of Cellodextrins and Cellulose with Application to Enzymatic Hydrolysis
Abstract
A rapid and accurate method for determining the number-average degree of polymerization (DP(n)) was established for insoluble cellulose and soluble cellodextrins as the ratio of glucosyl monomer concentration determined by the phenol-sulfuric acid method divided by the reducing-end concentration determined by a modified 2,2'-bicinchoninate (BCA) method. The modified BCA method, featuring incubation at 75 degrees C for 30 min, did not result in beta-glucosidic bond cleavage, whereas substantial cleavage was observed at higher temperature. Solubilization of insoluble cellulose in cold phosphoric acid prior to measurement of the reducing-end concentration by the BCA method was found not to be necessary for several model celluloses such as microcrystalline cellulose, but such solubilization was required for large fibers of cellulose such as Whatman No. 1 filter paper. The phenol-sulfuric acid method can be used for measuring the glucosyl monomer concentration of soluble cellodextrins, and also for insoluble cellulose if preceded by a liquefaction step. Standard deviations of < or =2% were obtained for both reducing and glucosyl monomer determination and of < or =3% for overall determination of DP. By use of the reported method, hydrolysis of phosphoric acid-swollen cellulose (PASC) by the Trichoderma reesei cellulase system was shown to result in a rapid decrease in DP as hydrolysis proceeded. By contrast, the DP of Avicel remained nearly constant during hydrolysis. The specific enzymatic cellulose hydrolysis rate is 100-fold higher for PASC as compared to Avicel.
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Citations
Cites
Colorimetric Method for Determination of Sugars and Related Substances
DuBois, M., Gilles, K. A., Hamilton, J. K., Rebers, P. A., & Smith, F. (1956) · Analytical Chemistry · doi:10.1021/ac60111a017 · Cited by 52,269
Use of Dinitrosalicylic Acid Reagent for Determination of Reducing Sugar
Miller, G. L. (1959) · Analytical Chemistry · doi:10.1021/ac60147a030 · Cited by 28,963
Measurement of cellulase activities
Ghose, T. K. (1987) · Pure and Applied Chemistry · doi:10.1351/pac198759020257 · Cited by 6,174
Somogyi, M. (1952) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)50870-5 · Cited by 5,284
Dissolution of Cellose with Ionic Liquids
Swatloski, R. P., Spear, S. K., Holbrey, J. D., & Rogers, R. D. (2002) · Journal of the American Chemical Society · doi:10.1021/ja025790m · Cited by 4,728
Microbial Cellulose Utilization: Fundamentals and Biotechnology
Lynd, L. R., Weimer, P. J., van Zyl, W. H., & Pretorius, I. S. (2002) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.66.3.506-577.2002 · Cited by 4,726
Self-citationWood: Chemistry, ultrastructure, reactions
(1983) · doi:10.1515/9783110839654 · Cited by 2,846
Zhang, Y. P., & Lynd, L. R. (2004) · Biotechnology and Bioengineering · doi:10.1002/bit.20282 · Cited by 1,893
Self-citationMethods for measuring cellulase activities
Wood, T. M., & Bhat, K. M. (1988) · Methods in Enzymology · doi:10.1016/0076-6879(88)60109-1 · Cited by 1,349
Homogeneous Acetylation of Cellulose in a New Ionic Liquid
Wu, J., Zhang, J., Zhang, H., He, J., Ren, Q., & Guo, M. (2004) · Biomacromolecules · doi:10.1021/bm034398d · Cited by 646
Comprehensive Cellulose Chemistry: Functionalization of Cellulose
Klemm, D., Philipp, B., Heinze, T., Heinze, U., & Wagenknecht, W. (1998) · Wiley eBooks · doi:10.1002/3527601937 · Cited by 604
Determination of Starch and Cellulose with Anthrone
Viles, F. J., & Silverman, L. (1949) · Analytical Chemistry · doi:10.1021/ac60032a019 · Cited by 345
Assay of reducing sugars in the nanomole range with 2,2′-bicinchoninate
Waffenschmidt, S., & Jaenicke, L. (1987) · Analytical Biochemistry · doi:10.1016/0003-2697(87)90278-8 · Cited by 310
Potential Synergies and Challenges in Refining Cellulosic Biomass to Fuels, Chemicals, and Power
Wyman, C. E. (2003) · Biotechnology Progress · doi:10.1021/bp025654l · Cited by 239
Lee, S. B., Shin, H. S., Ryu, D. D. Y., & Mandels, M. (1982) · Biotechnology and Bioengineering · doi:10.1002/bit.260241003 · Cited by 174
Theory and applications of DMAC/LICL in the analysis of polysaccharides
Striegel, A. M. (1997) · Carbohydrate Polymers · doi:10.1016/s0144-8617(97)00101-x · Cited by 155
Reducing value methods for maltodextrins
Robyt, J. F., & Whelan, W. J. (1972) · Analytical Biochemistry · doi:10.1016/0003-2697(72)90213-8 · Cited by 147
Kleman-Leyer, K. M., Siika‐aho, M., Teeri, T. T., & Kirk, T. K. (1996) · Applied and Environmental Microbiology · doi:10.1128/aem.62.8.2883-2887.1996 · Cited by 142
Natural Cellulose Fibers: Heterogeneous Acetylation Kinetics and Biodegradation Behavior
Frisoni, G., Baiardo, M., Scandola, M., Lednická, D., Cnockaert, M. C., Mergaert, J., & Swings, J. (2001) · Biomacromolecules · doi:10.1021/bm0056409 · Cited by 141
Ramos, L. P., Nazhad, M. M., & Saddler, J. N. (1993) · Enzyme and Microbial Technology · doi:10.1016/0141-0229(93)90093-h · Cited by 115
Zhang, Y., & Lynd, L. R. (2002) · Analytical Chemistry · doi:10.1021/ac020271n · Cited by 108
Self-citationCellodextrin preparation by mixed-acid hydrolysis and chromatographic separation
Zhang, Y. ‐. P., & Lynd, L. R. (2003) · Analytical Biochemistry · doi:10.1016/j.ab.2003.07.021 · Cited by 87
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Payne, C. M., Knott, B. C., Mayes, H. B., Hansson, H., Himmel, M. E., Sandgren, M., Ståhlberg, J., & Beckham, G. T. (2015) · Chemical Reviews · doi:10.1021/cr500351c · Cited by 855
Reviving the carbohydrate economy via multi-product lignocellulose biorefineries
Zhang, Y.-H. P. (2008) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-007-0293-6 · Cited by 622
Self-citationFractionating recalcitrant lignocellulose at modest reaction conditions
Zhang, Y. P., Ding, S., Mielenz, J. R., Cui, J., Elander, R. T., Laser, M., Himmel, M. E., McMillan, J. R., & Lynd, L. R. (2007) · Biotechnology and Bioengineering · doi:10.1002/bit.21386 · Cited by 589
Self-citationEnhancement of cellulose saccharification kinetics using an ionic liquid pretreatment step
Dadi, A. P., Varanasi, S., & Schall, C. A. (2006) · Biotechnology and Bioengineering · doi:10.1002/bit.21047 · Cited by 574
Single-step conversion of cellulose to 5-hydroxymethylfurfural (HMF), a versatile platform chemical
Su, Y., Brown, H. M., Huang, X., Zhou, X.-D., Amonette, J. E., & Zhang, Z. C. (2009) · Applied Catalysis A: General · doi:10.1016/j.apcata.2009.04.002 · Cited by 436
Metadata
- Authors
- Zhang, Y.-H. P., & Lynd, L. R.
- Venue
- Biomacromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-03-18
- Volume
- 6
- Issue
- 3
- Pages
- 1510-1515
- ISSN
- 1525-7797 (ISSN-L)
- 1526-4602
- OpenAlex
- W2009849247
- Cited by
- 273
- References
- 22
- FWCI
- 5.54
- Type
- journal article
- Language
- en
- Open access
- closed
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