4.7 Article

Towards practical time-of-flight secondary ion mass spectrometry lignocellulolytic enzyme assays

Journal

BIOTECHNOLOGY FOR BIOFUELS
Volume 6, Issue -, Pages -

Publisher

BIOMED CENTRAL LTD
DOI: 10.1186/1754-6834-6-132

Keywords

ToF-SIMS; Lignocellulose; Enzymes; Extractives; Cellulase

Funding

  1. Natural Sciences and Engineering Research Council
  2. Genome Canada
  3. Atlantic Innovation Fund (AIF)
  4. Ontario Genomics Institute as part of the Bioproducts and Enzymes from Environmental Metagenomes (BEEM) Project [2009-OGI-ABC-1405]
  5. Canadian Foundation for Innovation [11128]
  6. Ontario Research Fund

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Background: Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) is a surface sensitive mass spectrometry technique with potential strengths as a method for detecting enzymatic activity on solid materials. In particular, ToF-SIMS has been applied to detect the enzymatic degradation of woody lignocellulose. Proof-of-principle experiments previously demonstrated the detection of both lignin-degrading and cellulose-degrading enzymes on solvent-extracted hardwood and softwood. However, these preliminary experiments suffered from low sample throughput and were restricted to samples which had been solvent-extracted in order to minimize the potential for mass interferences between low molecular weight extractive compounds and polymeric lignocellulose components. Results: The present work introduces a new, higher-throughput method for processing powdered wood samples for ToF-SIMS, meanwhile exploring likely sources of sample contamination. Multivariate analysis (MVA) including Principal Component Analysis (PCA) and Multivariate Curve Resolution (MCR) was regularly used to check for sample contamination as well as to detect extractives and enzyme activity. New data also demonstrates successful ToF-SIMS analysis of unextracted samples, placing an emphasis on identifying the low-mass secondary ion peaks related to extractives, revealing how extractives change previously established peak ratios used to describe enzyme activity, and elucidating peak intensity patterns for better detection of cellulase activity in the presence of extractives. The sensitivity of ToF-SIMS to a range of cellulase doses is also shown, along with preliminary experiments augmenting the cellulase cocktail with other proteins. Conclusions: These new procedures increase the throughput of sample preparation for ToF-SIMS analysis of lignocellulose and expand the applications of the method to include unextracted lignocellulose. These are important steps towards the practical use of ToF-SIMS as a tool to screen for changes in plant composition, whether the transformation of the lignocellulose is achieved through enzyme application, plant mutagenesis, or other treatments.

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