A specific case in the classification of woods by FTIR and chemometric: discrimination of Fagales from Malpighiales

Fourier transform infrared (FTIR) spectroscopic data was used to classify wood samples from nine species within the Fagales and Malpighiales using a range of multivariate statistical methods. Taxonomic classification of the family Fagaceae and Betulaceae from Angiosperm Phylogenetic System Classification (APG II System) was successfully performed using supervised pattern recognition techniques. A methodology for wood sample discrimination was developed using both sapwood and heartwood samples. Ten and eight biomarkers emerged from the dataset to discriminate order and family, respectively. In the species studied FTIR in combination with multivariate analysis highlighted significant chemical differences in hemicelluloses, cellulose and guaiacyl (lignin) and shows promise as a suitable approach for wood sample classification

Water-repellent cellulose fiber networks with multifunctional properties.

We demonstrate a simple but highly efficient technique to introduce multifunctional properties to cellulose fiber networks by wetting them with ethyl-cyanoacrylate monomer solutions containing various suspended organic submicrometer particles or inorganic nanoparticles. Solutions can be applied on cellulosic surfaces by simple solution casting techniques or by dip coating, both being suitable for large area applications. Immediately after solvent evaporation, ethyl-cyanoacrylate starts cross-linking around cellulose fibers under ambient conditions because of naturally occurring surface hydroxyl groups and adsorbed moisture, encapsulating them with a hydrophobic polymer shell. Furthermore, by dispersing various functional particles in the monomer solutions, hydrophobic ethyl-cyanoacrylate nanocomposites with desired functionalities can be formed around the cellulose fibers. To exhibit the versatility of the method, cellulose sheets were functionalized with different ethyl-cyanoacrylate nanocomposite shells..

Dorsal Capsule Interpositional Arthroplasty of the Metacarpophalangeal Joint

Background: Current recommendations for osteoarthritis of the metacarpophalangeal joint (MCPJ) are confined to implant arthroplasty to preserve joint motion and provide pain relief. This study documents the median 2-year results of a novel soft tissue arthroplasty technique that interposes the dorsal capsule. Methods: A retrospective review of 10 MCPJ dorsal capsule interposition arthroplasties in 8 patients was conducted. Physical evaluation assessed MCPJ range of motion (ROM), grip strength, and pain. Outcome tests used were the Michigan Hand Outcome Score, Visual Analog Scale (VAS), and Quick Disabilities of the Arm, Shoulder, and Hand (QuickDASH). Kellgren and Lawrence Classification assessed severity of MCPJ osteoarthritis on preoperative radiographs. Results: The mean follow-up was 29 months from surgery. Average VAS was 2/10 postoperatively and average postoperative ROM improved 7 degrees. Average postoperative grip strength of the surgical hand was 30 kg. The QuickDASH average score was 24. Average Michigan Hand Questionnaire final score was 70. Patients with Kellgren Grades 2 or 3 osteoarthritis had the best QuickDASH and Michigan Hand Outcome scores. All patients working before surgery returned to work. No patient required a second surgery. Conclusion: This technique of dorsal capsule interposition arthroplasty provides a viable surgical option for isolated degenerative or traumatic arthritis of the MCPJ at an average follow-up of 2 years. Pain relief was most reliably provided in patients with less severe radiograph findings. The advantages of this procedure include preservation of bony anatomy, collateral ligaments, and volar plate to not preclude later implant arthroplasty