journal article·2026-03Open access

Tissue-specific variation of softwood nanostructure revealed by scanning wide-angle X-ray scattering and clustering analysis

Patrik Ahvenainen, Enriqueta Noriega Benitez, Tuula Jyske, Mira Viljanen, Heikki Suhonen, Paavo Penttilä

Cellulose· Volume 33· Issue 5

Abstract

Abstract Understanding the properties of hierarchical materials such as wood requires combining information representing different length scales. Scanning wide-angle X-ray scattering (WAXS) connects the nanoscale cell wall structure to the scale of the annual growth rings, as demonstrated here by studying radially cut slices of mature softwood (Scots pine and Norway spruce), including the bark. WAXS offers information on the crystalline structure and other properties of the semi-crystalline cellulose microfibrils in the plant cell walls. Scanning-WAXS is data intensive but applicable to even laboratory X-ray sources, making it relatively accessible but underutilized. We present ways of efficiently analyzing the large data sets by robust analysis methods, principal component analysis (PCA) and clustering. We use PCA directly with two-dimensional scattering patterns, making the method highly applicable and easy to use. Scanning over wood samples containing xylem and bark, several different tissues were studied, such as xylem, phloem and outer bark, and scattering patterns for all these tissues are presented and compared. In our experiments, X-ray microtomography information was also used to verify and visualize the observations from the scattering data analysis. In the spruce xylem, the intra-annual variation of mean microfibril angle and crystallinity index was linear with respect to radial distance, whereas the density showed a steeper increase with radial distance, better modeled with a second order function. Scanning wide-angle X-ray scattering was shown to be able to connect different length scales and thus be able provide new information on the multi-scale structure of wood.
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Research context

OpenAlex topics: Wood Treatment and Properties · Advanced Cellulose Research Studies · Enzyme Structure and Function

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (65)

Show source-provided references
1. Abe H, Funada R (2005) Review — the orientation of cellulose microfibrils in the cell walls of tracheids in conifers. IAWA J 26:161–174. https://doi.org/10.1163/22941932-9000010810.1163/22941932-90000108 ↗
2. Ahvenainen P, Kontro I, Svedström K (2016) Comparison of sample crystallinity determination methods by X-ray diffraction for challenging cellulose I materials. Cellulose 23:1073–1086. https://doi.org/10.1007/s10570-016-0881-610.1007/s10570-016-0881-6 ↗
3. Ahvenainen P, Dixon PG, Kallonen A, Suhonen H, Gibson LJ, Svedström K (2017) Spatially-localized bench-top X-ray scattering reveals tissue-specific microfibril orientation in Moso bamboo. Plant Methods 13:5. https://doi.org/10.1186/s13007-016-0155-110.1186/s13007-016-0155-1 ↗
4. Andersson S, Serimaa R, Väänänen T, Paakkari T, Jämsä S, Viitaniemi P (2005) X-ray scattering studies of thermally modified Scots pine (Pinus sylvestris L.). Holzforschung 59:422–427. https://doi.org/10.1515/HF.2005.06910.1515/HF.2005.069 ↗
5. Andersson S, Wang Y, Pönni R, Hänninen T, Mononen M, Ren H, Serimaa R, Saranpää P (2015) Cellulose structure and lignin distribution in normal and compression wood of the Maidenhair tree (Ginkgo biloba L.). J Integr Plant Biol 57:388–395. https://doi.org/10.1111/jipb.1234910.1111/jipb.12349 ↗
6. Bailey IW, Berkley EE (1942) The significance of X-rays in studying the orientation of cellulose in the secondary wall of tracheids. Am J Bot 29:231–241. https://doi.org/10.1002/j.1537-2197.1942.tb13999.x10.1002/j.1537-2197.1942.tb13999.x ↗
7. Barnett JR, Bonham VA (2004) Cellulose microfibril angle in the cell wall of wood fibres. Biol Rev Camb Philos Soc 79:461–472. https://doi.org/10.1017/S146479310300637710.1017/S1464793103006377 ↗
8. Bergander A, Brändström J, Daniel G, Salmén L (2002) Fibril angle variability in earlywood of Norway spruce using soft rot cavities and polarization confocal microscopy. J Wood Sci 48:255–263. https://doi.org/10.1007/BF0083134410.1007/BF00831344 ↗
9. Bertaud F, Holmbom B (2004) Chemical composition of earlywood and latewood in Norway spruce heartwood, sapwood and transition zone wood. Wood Sci Technol 38:245–256. https://doi.org/10.1007/s00226-004-0241-910.1007/s00226-004-0241-9 ↗
10. Björklund J, Seftigen K, Schweingruber F, Fonti P, von Arx G, Bryukhanova MV, Cuny HE, Carrer M, Castagneri D, Frank DC (2017) Cell size and wall dimensions drive distinct variability of earlywood and latewood density in Northern Hemisphere conifers. New Phytol 216:728–740. https://doi.org/10.1111/nph.1463910.1111/nph.14639 ↗
11. Brändström J (2001) Micro- and ultrastructural aspects of Norway spruce tracheids: a review. IAWA J 22:333–353. https://doi.org/10.1163/22941932-9000038110.1163/22941932-90000381 ↗
12. Brodersen CR (2013) Visualizing wood anatomy in three dimensions with high-resolution X-ray micro-tomography (μCT)–a review. In: Wood Structure in Plant Biology and Ecology, 1st edn, Koninklijke Brill NV, Leiden, pp 80—9610.1163/9789004265608_007 ↗
13. Büyüksarı Ü, As N, Dündar T (2017) Mechanical properties of earlywood and latewood sections of scots pine wood. BioResources 12(2). https://doi.org/10.15376/biores.12.2.4004-401210.15376/biores.12.2.4004-4012 ↗
14. Cabalová I, Bélik M, Kucerová V, Jurczyková T (2021) Chemical and morphological composition of Norway Spruce wood (Picea abies, L.) in the dependence of its storage. Polymers 13:1619. https://doi.org/10.3390/polym1310161910.3390/polym13101619 ↗
15. Cave I (1966) Theory of x-ray measurement of microfibril angle in wood. For Prod J 16:37–43. https://doi.org/10.1007/BF0070588110.1007/BF00705881 ↗
16. Chen Z, Andrejevic N, Drucker NC, Nguyen T, Xian RP, Smidt T, Wang Y, Ernstorfer R, Tennant DA, Chan M, Li M. Machine learning on neutron and x-ray scattering and spectroscopies. Chem Phys Rev 2, 031301. https://doi.org/10.1063/5.004911110.1063/5.0049111 ↗
17. Coté GG (2009) Diversity and distribution of idioblasts producing calcium oxalate crystals in Dieffenbachia seguine (Araceae)†. Am J Bot 96:1245–1254. https://doi.org/10.3732/ajb.080027610.3732/ajb.0800276 ↗
18. Cuny HE, Rathgeber CB, Frank D, Fonti P, Fournier M (2014) Kinetics of tracheid development explain conifer tree-ring structure. New Phytol 203:1231–1241. https://doi.org/10.1111/nph.1287110.1111/nph.12871 ↗
19. Donaldson L (2008) Microfibril angle: measurement, variation and relationships - a review. IAWA J 29:345–386. https://doi.org/10.1163/22941932-9000019210.1163/22941932-90000192 ↗
20. Donaldson L, Xu P (2005) Microfibril orientation across the secondary cell wall of radiata pine tracheids. Trees 19:644–653. https://doi.org/10.1007/s00468-005-0428-110.1007/s00468-005-0428-1 ↗
21. El Hachem C, Abahri K, Bennacer R (2019) Original experimental and numerical approach for prediction of the microscopic hygro-mechanical behavior of spruce wood. Constr Build Mater 203:258–266. https://doi.org/10.1016/j.conbuildmat.2019.01.10710.1016/j.conbuildmat.2019.01.107 ↗
22. Färber J, Lichtenegger HC, Reiterer A et al (2001) Cellulose microfibril angles in a spruce branch and mechanical implications. J Mater Sci 36:5087–5092. https://doi.org/10.1023/A:101246500560710.1023/A:1012465005607 ↗
23. Fratzl P, Jakob HF, Rinnerthaler S, Roschger P, Klaushofer K (1997) Position-resolved small-angle x-ray scattering of complex biological materials. J Appl Crystallogr 30:765–769. https://doi.org/10.1107/S002188989700177510.1107/S0021889897001775 ↗
24. Fredriksson M, Bjerregaard Pedersen N, Garbrecht Thygesen L (2018) The cell wall composition of Norway spruce earlywood and latewood revisited. Int Wood Prod J 9:80–85. https://doi.org/10.1080/20426445.2018.147968010.1080/20426445.2018.1479680 ↗
25. French AD, Santiago Cintrón M (2013) Cellulose polymorphy, crystallite size, and the Segal crystallinity index. Cellulose 20:583–588. https://doi.org/10.1007/s10570-012-9833-y10.1007/s10570-012-9833-y ↗
26. Fries A, Ericsson T (2009) Genetic parameters for early wood and latewood densities and development with increasing age in Scots pine. Ann for Sci 66:404. https://doi.org/10.1051/forest/200901910.1051/forest/2009019 ↗
27. Gardiner B, Barnett J, Saranpää P, Gril, J (Eds.) (2014) The Biology of Reaction Wood. Springer, Berlin. https://doi.org/10.1007/978-3-642-10814-310.1007/978-3-642-10814-3 ↗
28. Hafizoğlu H, Usta M, Bilgin Ö (1997) Wood and bark composition of Picea orientalis (L.) Link. Holzforschung 51:114–118. https://doi.org/10.1515/hfsg.1997.51.2.11410.1515/hfsg.1997.51.2.114 ↗
29. Henin J-M, Pollet C, Jourez B, Hébert J (2018) Impact of tree growth rate on the mechanical properties of Douglas Fir lumber in Belgium. Forests 9:342. https://doi.org/10.3390/f906034210.3390/f9060342 ↗
30. Horiyama H, Kojiro K, Okahisa Y, Imai T, Itoh T, Furuta Y (2022) Combined analysis of microstructures within an annual ring of Douglas fir (Pseudotsuga menziesii) by dynamic mechanical analysis and small angle X-ray scattering. J Wood Sci. https://doi.org/10.1186/s10086-022-02058-x10.1186/s10086-022-02058-x ↗
31. Huang H, Li Z, Li Y, Jiang J, Gao R (2024) Comparative studies on tensile mechanical properties of water-saturated earlywood and latewood within the same growth ring from Masson Pine. Forests 15:589. https://doi.org/10.3390/f1504058910.3390/f15040589 ↗
32. Ingerslev M (1999) Above ground biomass and nutrient distribution in a limed and fertilized Norway spruce (Picea abies) plantation: part I. Nutrient concentrations. For Ecol Manage 119:13–20. https://doi.org/10.1016/S0378-1127(98)00506-410.1016/S0378-1127(98)00506-4 ↗
33. Kankare V, Holopainen M, Vastaranta M, Puttonen E, Yu X, Hyyppä J, Vaaja MT, Hyyppä H, Alho P (2013) Individual tree biomass estimation using terrestrial laser scanning. ISPRS J Photogramm Remote Sens 75:64–75. https://doi.org/10.1016/j.isprsjprs.2012.10.00310.1016/j.isprsjprs.2012.10.003 ↗
34. Kennedy RW (1995) Coniferous wood quality in the future: concerns and strategies. Wood Sci Technol 29:321–338. https://doi.org/10.1007/BF0020258110.1007/BF00202581 ↗
35. Kieffer J, Valls V, Blanc N, Hennig C (2020) New tools for calibrating diffraction setups. J Synchrotron Radiat 27:558–566. https://doi.org/10.1107/S160057752000077610.1107/S1600577520000776 ↗
36. Koubaa A, Zhang SY, Makni S (2002) Defining the transition from earlywood to latewood in black spruce based on intra-ring wood density profiles from X-ray densitometry. Ann for Sci 59:511–518. https://doi.org/10.1051/forest:200203510.1051/forest:2002035 ↗
37. Le Normand M, Moriana R, Ek M (2014) Isolation and characterization of cellulose nanocrystals from spruce bark in a biorefinery perspective. Carbohydr Polym 111:979–987. https://doi.org/10.1016/j.carbpol.2014.04.09210.1016/j.carbpol.2014.04.092 ↗
38. Lee C, Yamasaki M, Kojima E, Sugimoto T, Sasaki Y (2021) Synchrotron X-ray measurements of cellulose in wood cell wall layers of Pinus densiflora in the transmission and reflectance modes. Part 2: results with axial loading. Holzforschung 75:501–507. https://doi.org/10.1515/hf-2019-022210.1515/hf-2019-0222 ↗
39. Lehtonen A, Mäkipää R, Heikkinen J, Sievänen R, Liski J (2004) Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forests. For Ecol Manag 188:211–224. https://doi.org/10.1016/j.foreco.2003.07.00810.1016/j.foreco.2003.07.008 ↗
40. Lestander TA, Lundström A, Finell M (2012) Assessment of biomass functions for calculating bark proportions and ash contents of refined biomass fuels derived from major boreal tree species. Can J for Res 42:59–66. https://doi.org/10.1139/x11-14410.1139/x11-144 ↗
41. Lichtenegger H, Müller M, Paris O, Riekel C, Fratzl P (1999a) Imaging of the helical arrangement of cellulose fibrils in wood by synchrotron X-ray microdiffraction. J Appl Crystallogr 32:1127–1133. https://doi.org/10.1107/S002188989901096110.1107/S0021889899010961 ↗
42. Lichtenegger H, Reiterer A, Stanzl-Tschegg SE, Fratzl P (1999b) Variation of cellulose microfibril angles in softwoods and hardwoods-a possible strategy of mechanical optimization. J Struct Biol. https://doi.org/10.1006/jsbi.1999.419410.1006/jsbi.1999.4194 ↗
43. Liu J, Burghammer M (2023) Probing the structural variations of different tissue cells in beechwood by X-ray microdiffraction. Cellulose 30:8415–8421. https://doi.org/10.1007/s10570-023-05401-710.1007/s10570-023-05401-7 ↗
44. Liu C, Westman CJ (2009) Biomass in a Norway spruce–Scots pine forest: a comparison of estimation methods. Boreal Environ Res 14:875–888
45. Lu C, Wu J, Jiang Q et al (2021) Influence of juvenile and mature wood on anatomical and chemical properties of early and late wood from Chinese fir plantation. J Wood Sci 67:72. https://doi.org/10.1186/s10086-021-02005-210.1186/s10086-021-02005-2 ↗
46. Lundström T, Heiz U, Stoffel M, Stöckli V (2007) Fresh-wood bending: linking the mechanical and growth properties of a Norway spruce stem. Tree Physiol 27:1229–1241. https://doi.org/10.1093/treephys/27.9.122910.1093/treephys/27.9.1229 ↗
47. Mayo SC, Chen F, Evans R (2010) Micron-scale 3D imaging of wood and plant microstructure using high-resolution X-ray phase-contrast microtomography. J Struct Biol 171:182–188. https://doi.org/10.1016/j.jsb.2010.04.00110.1016/j.jsb.2010.04.001 ↗
48. Nishiyama Y, Langan P, Chanzy H (2002) Crystal structure and hydrogen-bonding system in cellulose Iβ from synchrotron X-ray and neutron fiber diffraction. J Am Chem Soc 124:9074–9082. https://doi.org/10.1021/ja025731910.1021/ja0257319 ↗
49. Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, et al (2011) Scikit-learn: Machine learning in Python. J Mach Learn Res 12:2825–2830
50. Ramazanova L, Reimund L, Lebedeva D, Muangmeesri S, Jaworski A, Samec JS (2024) Sequential fractionation of spruce bark in a continuous flow-through system. ACS Sustain Chem Eng 12:13409–13414. https://doi.org/10.1021/acssuschemeng.4c0470610.1021/acssuschemeng.4c04706 ↗
51. Rietzler B, Karlsson M, Kwan I, Lawoko M, Ek M (2022) Fundamental insights on the physical and chemical properties of organosolv lignin from Norway spruce bark. Biomacromol 23:3349–3358. https://doi.org/10.1021/acs.biomac.2c0045710.1021/acs.biomac.2c00457 ↗
52. Rosner S, Klein A, Müller U, Karlsson B (2007) Hydraulic and mechanical properties of young Norway spruce clones related to growth and wood structure. Tree Physiol 27:1165–1178. https://doi.org/10.1093/treephys/27.8.116510.1093/treephys/27.8.1165 ↗
53. Sahlberg U, Salmén L, Oscarsson A (1997) The fibrillar orientation in the S2-layer of wood fibres as determined by X-ray diffraction analysis. Wood Sci Technol 31:77–86. https://doi.org/10.1007/BF0070592310.1007/BF00705923 ↗
54. Samusevich A, Lexa M, Vejpustková M, Altman J, Zeidler A (2020) Comparison of methods for the demarcation between earlywood and latewood in tree rings of Norway spruce. Dendrochronologia 60:125686. https://doi.org/10.1016/j.dendro.2020.12568610.1016/j.dendro.2020.125686 ↗
55. Sarén MP, Serimaa R, Andersson S, Paakkari T, Saranpää P, Pesonen E (2001) Structural variation of tracheids in Norway spruce (Picea abies [L.] Karst.). J Struct Biol 136:101–109. https://doi.org/10.1006/jsbi.2001.443410.1006/jsbi.2001.4434 ↗
56. Segal L, Creely JJ, Martin AE, Conrad CM (1959) An empirical method for estimating the degree of crystallinity of native cellulose using the X-ray diffractometer. Text Res J 29:786–794. https://doi.org/10.1177/00405175590290100310.1177/004051755902901003 ↗
57. Sheng-zuo F, Wen-zhong Y, Xiang-xiang F (2004) Variation of microfibril angle and its correlation to wood properties in poplars. J for Res 15:261–267. https://doi.org/10.1007/BF0284494910.1007/BF02844949 ↗
58. Stetter M, Schiessl I, Otto T, Sengpiel F, Hübener M, Bonhoeffer T, Obermayer K (2000) Principal component analysis and blind separation of sources for optical imaging of intrinsic signals. Neuroimage 11:482–490. https://doi.org/10.1006/nimg.2000.055110.1006/nimg.2000.0551 ↗
59. Supriyadi D, Bodner S, Keckes J, Gindl-Altmutter W, Veigel S (2024) Comparing the properties of cellulose nanofibrils from wood and bark of Norway spruce (Picea abies Karst.) and silver poplar (Populus alba L.). Carbohydr Polym Technol Appl. https://doi.org/10.1016/j.carpta.2024.10052710.1016/j.carpta.2024.100527 ↗
60. Suuronen J-P, Kallonen A, Hänninen V, Blomberg M, Hämäläinen K, Serimaa R (2014) Bench-top X-ray microtomography complemented with spatially localized X-ray scattering experiments. J Appl Crystallogr 47:471–475. https://doi.org/10.1107/S160057671303110510.1107/S1600576713031105 ↗
61. Svoboda M, Matějka K, Kopáček J et al (2006) Estimation of tree biomass of Norway spruce forest in the Plešné Lake catchment, the Bohemian Forest. Biologia 61:S523–S532. https://doi.org/10.2478/s11756-007-0075-710.2478/s11756-007-0075-7 ↗
62. Viljanen M, Help H, Suhonen H, Svedström K (2023) Combined X-ray diffraction tomography imaging of tension and opposite wood tissues in young hybrid aspen saplings. Wood Sci Technol 57:797–814. https://doi.org/10.1007/s00226-023-01477-310.1007/s00226-023-01477-3 ↗
63. Wang X, Zhao W, Zhang Y, Shi J, Shan S, Cai L (2024) Exploring wood micromechanical structure: impact of microfibril angle and crystallinity on cell wall strength. J Build Eng 90:109452. https://doi.org/10.1016/j.jobe.2024.10945210.1016/j.jobe.2024.109452 ↗
64. Yang L (2024) X-ray scattering based scanning tomography for imaging and structural characterization of cellulose in plants. J Synchrotron Radiat 31:936–947. https://doi.org/10.1107/S160057752400438710.1107/S1600577524004387 ↗
65. Yang L, Liu J, Chodankar S, Antonelli S, DiFabio J (2021) Scanning structural mapping at the Life Science X-ray Scattering Beamline. J Synchrotron Radiat 29:540–548. https://doi.org/10.1107/S160057752101326610.1107/S1600577521013266 ↗