Abstract
We report a systematic computational investigation on the electronic and optical properties of the principal chromophores found in bacterial cellulose (BC). In particular, we focus on the three chromophoric leading structures that were isolated from aged BC (1) 2,5-dihydroxy-[1,4]benzoquinone (2) 5,8-dihydroxy-[1,4]naphthoquinone and (3) 2,5-dihydroxyacetophenone. For the isolated molecules we performed all-electrons density functional theory (DFT) and time dependent DFT calculations with a localized Gaussian basis set and the hybrid exchange correlation functional B3LYP. We quantified key molecular properties relevant as electron affinities, ionization energies, quasi-particle energy gaps, optical absorption spectra, and exciton binding energies. We address moreover the impact of the solvent on the optical properties of the above systems using starting configurations obtained after classical molecular dynamics simulations in water. Our results could be of importance to comprehend the mechanisms underlying the processes of degradation of BC, which are of fundamental relevance for cultural heritage applications.
Similar content being viewed by others
References
Becke AD (1993) Density-functional thermochemistry. III. The role of exact exchange. J Chem Phys 98:5648–5652. https://doi.org/10.1063/1.464913
Brown AJ (1886) XLIII—on an acetic ferment which forms cellulose. J Chem Soc Trans 49:432–439. https://doi.org/10.1039/ct8864900432
Cappellini G, Malloci G, Mulas G (2009) Electronic excitations of oligoacenes: a time dependent density functional theory study. Superlattices Microstruct 46:14–18. https://doi.org/10.1016/j.spmi.2008.12.019
Cardia R, Malloci G, Mattoni A, Cappellini G (2014) Effects of TIPS-functionalization and perhalogenation on the electronic, optical, and transport properties of angular and compact dibenzochrysene. J Phys Chem A 118:5170–5177. https://doi.org/10.1021/jp502022t
Cardia R, Cappellini G, Pinna E, Tiddia MV, Mula G (2016a) Optical and electronic properties of monomers of eumelanin: a DFT and TD-DFT computational study. Optics and Photonics Journal 06:41–47. https://doi.org/10.4236/opj.2016.68B008
Cardia R, Malloci G, Rignanese GM, Blase X, Molteni E, Cappellini G (2016b) Electronic and optical properties of hexathiapentacene in the gas and crystal phases. Physical Review B. https://doi.org/10.1103/physrevb.93.235132
Case DA et al (2005) The Amber biomolecular simulation programs. J Comput Chem 26:1668–1688. https://doi.org/10.1002/jcc.20290
Cavka A, Guo X, Tang S-J, Winestrand S, Jönsson LJ, Hong F (2013) Production of bacterial cellulose and enzyme from waste fiber sludge. Biotechnol Biofuels 6:25. https://doi.org/10.1186/1754-6834-6-25
ChemAxon (2017) http://www.chemaxon.com. Accessed 05 June 2017
Chemistry N. http://webbook.nist.gov/cgi/cbook.cgi?ID=C106514&Mask=80-IR-Spec
Conte AM, Pulci O, Misiti MC, Lojewska J, Teodonio L, Violante C, Missori M (2014) Visual degradation in Leonardo da Vinci’s iconic self-portrait: a nanoscale study. Appl Phys Lett 104:224101. https://doi.org/10.1063/1.4879838
Corsaro C, Mallamace D, Łojewska J, Mallamace F, Pietronero L, Missori M (2013) Molecular degradation of ancient documents revealed by 1H HR-MAS NMR spectroscopy. Sci Rep. https://doi.org/10.1038/srep02896
Delogu GL et al (2016) 2-Phenylbenzofuran derivatives as butyrylcholinesterase inhibitors: synthesis, biological activity and molecular modeling. Biorg Med Chem Lett 26:2308–2313. https://doi.org/10.1016/j.bmcl.2016.03.039
Ertl P, Rohde B, Selzer P (2000) Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties. J Med Chem 43:3714–3717. https://doi.org/10.1021/jm000942e
Foster ME, Wong BM (2012) Nonempirically tuned range-separated DFT accurately predicts both fundamental and excitation gaps in DNA and RNA nucleobases. J Chem Theory Comput 8:2682–2687. https://doi.org/10.1021/ct300420f
Grande CJ, Torres FG, Gomez CM, Troncoso OP, Canet-Ferrer J, Martínez-Pastor J (2009) Development of self-assembled bacterial cellulose–starch nanocomposites. Mater Sci Eng, C 29:1098–1104. https://doi.org/10.1016/j.msec.2008.09.024
Hogan C, Palummo M, Gierschner J, Rubio A (2013) Correlation effects in the optical spectra of porphyrin oligomer chains: exciton confinement and length dependence. J Chem Phys 138:024312. https://doi.org/10.1063/1.4773582
Humphrey W, Dalke A, Schulten K (1996) VMD: visual molecular dynamics. J Mol Graph 14(33–38):27–38
Jensen F (2017) Introduction to computational chemistry, 3rd edn. Wiley, New York
Jonas R, Farah LF (1998) Production and application of microbial cellulose. Polym Degradation Stab 59:101–106. https://doi.org/10.1016/s0141-3910(97)00197-3
Jones RO, Gunnarsson O (1989) The density functional formalism, its applications and prospects. Rev Mod Phys 61:689–746. https://doi.org/10.1103/revmodphys.61.689
Jorgensen WL, Chandrasekhar J, Madura JD, Impey RW, Klein ML (1983) Comparison of simple potential functions for simulating liquid water. J Chem Phys 79:926–935. https://doi.org/10.1063/1.445869
Kohn W (1999) Nobel lecture: electronic structure of matter—wave functions and density functionals. Rev Mod Phys 71:1253–1266. https://doi.org/10.1103/revmodphys.71.1253
Kucińska-Lipka J, Gubanska I, Janik H (2015) Bacterial cellulose in the field of wound healing and regenerative medicine of skin: recent trends and future prospectives. Polym Bull 72:2399–2419. https://doi.org/10.1007/s00289-015-1407-3
Kumar A et al (2013) Identification of calcium binding sites on calsequestrin 1 and their implications for polymerization. Mol BioSyst 9:1949. https://doi.org/10.1039/c3mb25588c
Kumar A, Melis P, Genna V, Cocco E, Marrosu MG, Pieroni E (2014) Antigenic peptide molecular recognition by the DRB1–DQB1 haplotype modulates multiple sclerosis susceptibility. Mol BioSyst 10:2043–2054. https://doi.org/10.1039/c4mb00203b
Kumar A, Sechi LA, Caboni P, Marrosu MG, Atzori L, Pieroni E (2015) Dynamical insights into the differential characteristics of Mycobacterium avium subsp. paratuberculosis peptide binding to HLA-DRB1 proteins associated with multiple sclerosis. New J Chem 39:1355–1366. https://doi.org/10.1039/c4nj01903b
Lee C, Yang W, Parr RG (1988) Development of the Colle–Salvetti correlation-energy formula into a functional of the electron density. Physical Review B 37:785–789. https://doi.org/10.1103/PhysRevB.37.785
Levin VA (1980) Relationship of octanol/water partition coefficient and molecular weight to rat brain capillary permeability. J Med Chem 23:682–684. https://doi.org/10.1021/jm00180a022
Malloci G, Cappellini G, Mulas G, Satta G (2004) Quasiparticle effects and optical absorption in small fullerenelike GaP clusters. Physical Review B. https://doi.org/10.1103/physrevb.70.205429
Malloci G, Cappellini G, Mulas G, Mattoni A (2011) Electronic and optical properties of families of polycyclic aromatic hydrocarbons: a systematic (time-dependent) density functional theory study. Chem Phys 384:19–27. https://doi.org/10.1016/j.chemphys.2011.04.013
Marques MAL, Gross EKU (2004) Time-dependent density functional theory. Annu Rev Phys Chem 55:427–455. https://doi.org/10.1146/annurev.physchem.55.091602.094449
Missori M et al (2014) Optical response of strongly absorbing inhomogeneous materials: application to paper degradation. Physical Review B. https://doi.org/10.1103/physrevb.89.054201
Molinspiration (2017) http://molinspiration.com/cgi-bin/properties. Accessed 09 June 2017
Molteni E, Cappellini G, Onida G, Fratesi G (2017) Optical properties of organically functionalized silicon surfaces: uracil-like nucleobases on Si(001). Physical Review B. https://doi.org/10.1103/physrevb.95.075437
Nishiyama Y (2009) Structure and properties of the cellulose microfibril. J Wood Sci 55:241–249. https://doi.org/10.1007/s10086-009-1029-1
O’Boyle NM, Banck M, James CA, Morley C, Vandermeersch T, Hutchison GR (2011) Open babel: an open chemical toolbox. J Cheminform 3:33. https://doi.org/10.1186/1758-2946-3-33
Okiyama A, Motoki M, Yamanaka S (1992) Bacterial cellulose II. Processing of the gelatinous cellulose for food materials. Food Hydrocolloids 6:479–487. https://doi.org/10.1016/s0268-005x(09)80033-7
Perdew JP, Burke K, Ernzerhof M (1996) Generalized gradient approximation made simple. Phys Rev Lett 77:3865–3868. https://doi.org/10.1103/PhysRevLett.77.3865
Phillips JC et al (2005) Scalable molecular dynamics with NAMD. J Comput Chem 26:1781–1802. https://doi.org/10.1002/jcc.20289
Rosenau T et al (2014) Chromophores in cellulosics, XI: isolation and identification of residual chromophores from bacterial cellulose. Cellulose 21:2271–2283. https://doi.org/10.1007/s10570-014-0289-0
Schedl A, Korntner P, Zweckmair T, Henniges U, Rosenau T, Potthast A (2016) Detection of cellulose-derived chromophores by ambient ionization-MS. Anal Chem 88:1253–1258. https://doi.org/10.1021/acs.analchem.5b03646
Shah J, Malcolm Brown R (2004) Towards electronic paper displays made from microbial cellulose. Appl Microbiol Biotechnol 66:352–355. https://doi.org/10.1007/s00253-004-1756-6
Shoda M, Sugano Y (2005) Recent advances in bacterial cellulose production. Biotechnol Bioprocess Eng 10:1–8. https://doi.org/10.1007/bf02931175
Svensson A, Nicklasson E, Harrah T, Panilaitis B, Kaplan DL, Brittberg M, Gatenholm P (2005) Bacterial cellulose as a potential scaffold for tissue engineering of cartilage. Biomaterials 26:419–431. https://doi.org/10.1016/j.biomaterials.2004.02.049
Tabuchi M (2007) Nanobiotech versus synthetic nanotech? Nat Biotechnol 25:389–390. https://doi.org/10.1038/nbt0407-389
Torres F, Commeaux S, Troncoso O (2012) Biocompatibility of bacterial cellulose based biomaterials journal of functional. Biomaterials 3:864–878. https://doi.org/10.3390/jfb3040864
Ullah H, Santos HA, Khan T (2016) Applications of bacterial cellulose in food, cosmetics and drug delivery. Cellulose 23:2291–2314. https://doi.org/10.1007/s10570-016-0986-y
Valiev M et al (2010) NWChem: a comprehensive and scalable open-source solution for large scale molecular simulations. Comput Phys Commun 181:1477–1489. https://doi.org/10.1016/j.cpc.2010.04.018
Vandamme EJ, De Baets S, Vanbaelen A, Joris K, De Wulf P (1998) Improved production of bacterial cellulose and its application potential. Polym Degradation Stab 59:93–99. https://doi.org/10.1016/s0141-3910(97)00185-7
Wang J, Wolf RM, Caldwell JW, Kollman PA, Case DA (2004) Development and testing of a general amber force field. J Comput Chem 25:1157–1174. https://doi.org/10.1002/jcc.20035
Warren SG (1984) Optical constants of ice from the ultraviolet to the microwave. Appl Opt 23:1206. https://doi.org/10.1364/ao.23.001206
Warren SG, Brandt RE (2008) Optical constants of ice from the ultraviolet to the microwave: a revised compilation. J Geophys Res. https://doi.org/10.1029/2007jd009744
Yano H, Sugiyama J, Nakagaito AN, Nogi M, Matsuura T, Hikita M, Handa K (2005) Optically transparent composites reinforced with networks of bacterial nanofibers. Adv Mater 17:153–155. https://doi.org/10.1002/adma.200400597
Acknowledgments
The authors acknowledge the use of computational resources of CRS4 with special thanks to the high performance computing staffs. GC and RC acknowledge partial financial support from IDEA-AISBL Bruxelles. GC also acknowledges partial financial support from Progetto biennale d’Ateneo UniCa/FdS/RAS(Legge Regionale 07/08/2007 Annualità 2016) “Multiphysics theoretical approach to Thermoelectricity”. The authors thank A. Mosca Conte for introducing the topic of research and initial discussions.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
10570_2018_1728_MOESM1_ESM.docx
The absorption spectrum for the molecules expressed in oscillatory strength (Figs. S1–S4). Comparison between bond distance of the molecules after classical geometry optimization in vacuum and for the solvated conformer obtained from MD simulation in water (Tables S1–S4). In Table S5, detailed comparison among the absorption spectra of the three most probable conformers of molecule C extracted from MD simulations in water. (DOCX 2341 kb)
Rights and permissions
About this article
Cite this article
Kumar, A., Cardia, R. & Cappellini, G. Electronic and optical properties of chromophores from bacterial cellulose. Cellulose 25, 2191–2203 (2018). https://doi.org/10.1007/s10570-018-1728-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10570-018-1728-0