| Literature DB >> 35095947 |
Coyla R Munson1, Yu Gao2,3, Jenny C Mortimer2,3,4, Dylan T Murray1.
Abstract
Efficient separation of the plant cell wall polymers during lignocellulose processing has been historically challenging due to insolubility of the polymers and their propensity for recalcitrant reassembly. Methods, such as "lignin first" extraction techniques, have advanced efficient biomass use, but the molecular mechanisms for recalcitrance remain enigmatic. Here, we discuss how solid-state Nuclear Magnetic Resonance (NMR) approaches report on the 3D organization of cellulose, xylan, and lignin in the plant cell wall. Recent results illustrate that the organization of these polymers varies across biomass sources and sample preparation methods, with even minimal physical processing causing significant effects. These structural differences contribute to variable extraction efficiencies for bioproducts after downstream processing. We propose that solid-state NMR methods can be applied to follow biomass processing, providing an understanding of the polymer rearrangements that can lead to poor yields for the desired bioproducts. The utility of the technique is illustrated for mechanical processing using lab-scale vibratory ball milling of Sorghum bicolor.Entities:
Keywords: Sorghum bicolor; ball milling; cellulose; hemicellulose; lignin; recalcitrance (saccharification), preprocessing; solid-state nuclear magnetic resonance
Year: 2022 PMID: 35095947 PMCID: PMC8790750 DOI: 10.3389/fpls.2021.766506
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 5.753
Figure 1Ball milling approach and overview of the secondary plant cell wall. (A) 13C-enriched plant stems are harvested, frozen in liquid nitrogen, sectioned on a dry ice cooled surface, and subjected to vibrational ball milling using a zirconium chamber and balls. (B) The macroscopic organization of the secondary plant cell wall based on the studies reviewed in Marriot et al. (2016) and Zhang et al. (2021a). Cellulose fibrils are blue, lignin interspersed in the plant cell wall matrix and on carbohydrate surfaces is yellow, and unbound and cellulose-associated hemicellulose is black. (C) Solid-state NMR-based model for hemicellulose-cellulose interactions in eudicot Arabidopsis based on Simmons et al. (2016). (D) Solid-state NMR-based model for hemicellulose-cellulose interactions in monocot sorghum based on Gao et al. (2020). A major pattern of xylan substitutions is represented as orange ovals in (C,D). Even patterning of glucuronic acid dictates 2-fold xylan associates with crystalline cellulose in eudicots (Simmons et al., 2016; Grantham et al., 2017). The irregular L-arabinosyl xylan substitutions in monocots allow 3-fold xylan and amorphous cellulose interactions (Gao et al., 2020).
Figure 2Changes in the rigid structure of sorghum stem tissue after 2 min of ball milling. (A) Percent difference in integrated signal intensities from the 2 min ball-milled sample, relative to the unprocessed control sample. Due to the nature of the CP-INADEQUATE experiment, two signals are observed for most sites. Severely overlapping signals were omitted from this analysis. Error bars derive from the root-mean-squared noise in the spectra. (B) The CP-INADEQUATE spectrum of the unprocessed control sample. Semi-transparent lines are drawn to show the connections between signals within amorphous cellulose (blue), 3-fold xylan (red), and arabinosyl units from xylan (green). The spectrum was recorded at a 1H frequency of 500 MHz with 10 kHz magic angle spinning and high power 1H decoupling. (C) Field emission SEM images of the 2 min ball-milled and control samples. For all experiments, sorghum Tx430 was grown to maturity in a custom 13CO2 chamber as previously described (Gao and Mortimer, 2020), and the material used here had at least 92% 13C incorporation. Ball milling was adapted from Kim and Ralph (2010), INADEQUATE experiments were performed according to Gao et al. (2020), and samples prepared for FE-SEM and imaged according to Zheng et al. (2020). NMR data were processed in NMRPipe (Delaglio et al., 1995) and plotted in Sparky (Lee et al., 2015).