Fourier-Transform Infrared Spectroscopy Analysis of the Changes in Chemical Composition of Wooden Components: Part II—The Ancient Building of Danxia Temple

2021 ◽  
Vol 71 (3) ◽  
pp. 283-289
Author(s):  
Yan Yang ◽  
He Sun ◽  
Shuang Yang ◽  
Wenye Sun ◽  
Ying Zhao ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Brown Rot ◽  
Fourier Transform Infrared ◽  
Absorption Peak ◽  
Chemical Components ◽  
Red Oak ◽  
Cellulose Crystallinity ◽  
Brown Rot Fungi

Abstract To investigate the decay extent of wooden components in the ancient buildings of Danxia Temple, the absorption peak intensities, changes in chemical components, and cellulose crystallinity of red oak (Quercus sp.), birch (Betula sp.), and maple (Pterocarya sp.) wooden components were determined and analyzed using Fourier-transform infrared spectroscopy. The results are as follows: (1) The absorption peak intensities representing cellulose and hemicellulose decreased or disappeared obviously in the decayed red oak wood (DROW); on the contrary, those representing lignin increased. The indexes of the content of cellulose, hemicellulose, and cellulose crystallinity also decreased; on the contrary, those of the content of lignin increased. Those results indicated that cellulose and hemicellulose in DROW were largely degraded by brown-rot fungi. (2) The absorption peak intensities representing cellulose and hemicellulose decreased both in the decayed birch wood (DBW) and the decayed maple wood (DMW), whereas those representing lignin increased. The indexes of the content of cellulose, hemicellulose, and cellulose crystallinity also decreased, whereas those of lignin increased. Those results showed that cellulose and hemicellulose in DBW and DMW were seriously harmed not only by insects but also by brown-rot fungi. By comparison, the extent of fungal damage was lower in DMW than in DBW.

Fourier-Transform Infrared Spectroscopy Analysis of the Changes in Chemical Composition of Wooden Components in the Ancient Building of Xichuan Guild Hall

2020 ◽  
Vol 70 (4) ◽  
pp. 448-452
Author(s):  
Yan Yang ◽  
He Sun ◽  
Bin Li ◽  
Aifeng Wang ◽  
Rui Zhao ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Chemical Composition ◽  
Fourier Transform Infrared Spectroscopy ◽  
Crystallinity Index ◽  
Brown Rot ◽  
Fourier Transform Infrared ◽  
Absorption Peak ◽  
White Rot ◽  
Red Oak

Abstract In order to investigate the decay mechanism in red oak (Quercus rubra) and Schima (Schima spp.) wood in the ancient building of Xichuan Guild Hall, the changes in chemical composition were determined using Fourier-Transform Infrared Spectroscopy. The results were as follows: (1) The absorption peak intensities that represented the structural contribution of carbohydrates, and the crystallinity index of the cellulose in the red oak components, decreased noticeably by 55.70 percent in H1039/H1508, and 26.85 percent in H1370/H2900; while those of lignin were increased as a result of the brown rot process. These changes indicated that the brown-rot fungi had stronger degradation effects on hemicellulose and cellulose over lignin. (2) The absorption peak intensities of the carbohydrates (a part of the lignin) and the crystallinity index of the cellulose decreased noticeably by 22.50 percent in H1039/H1508, 25.00 percent in H1508/H1735, and 21.74 percent in H1429/H897 after white rot in the Schima wood components. These findings indicated that not only cellulose and hemicellulose but also lignin were attacked by white-rot fungi. By comparison, the extent of fungal damage in the wood components was lower in the Schima wood components than that in the red oak components.

scholarly journals Fourier Transform Infrared Spectroscopy Analysis Of Oil Of Menthaarvensis Grown At Sites Varying With Vehicular Traffic Loads In Lucknow City, India

2013 ◽  
Vol 2 (1) ◽  
pp. 16-25 ◽  
Author(s):  
Nidhi Prakash ◽  
Mohhamad Yumus
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Essential Oil ◽  
Fourier Transform Infrared Spectroscopy ◽  
Heavy Traffic ◽  
Economic Value ◽  
Fourier Transform Infrared ◽  
Chemical Components ◽  
Vehicular Emissions ◽  
Traffic Loads

The demand of the essential oil of mint species; widely used in food, pharmaceutical and cosmetic industries, is growing throughout the world. Owing its significance, it was felt important to know the changes in chemical characteristics of the oil, if any, for economic value when the crop of Mentha is grown near highways, railway tracks or areas having heavy traffic loads. To assess the effect of vehicular emissions on menthol (mint oil), transfer experiment study was conducted. Firstly, within the municipal premises of Lucknow city, five sites (Road stretches) were identified based on survey of Lucknow city and the available data on air pollution loads. Sites were selected which were differing from each other significantly in terms of the number of vehicles (source of pollution) plying on them but were quite similar to each other in other eco-physiological factors. On the select sites equal number of potted Menthaarvensis plants of the same age, height and vigour of saccham variety obtained from CSIR-CIMAP was kept to get exposed to auto-exhaust pollutants for one year. Irrigation regime at all sites was kept uniform to avoid the influence of any other variable other than vehicular emissions. An analysis of hydro-distillated essential oil of Menthaarvensis variety Sascham under FTIR (Fourier Transform Infrared Spectroscopy) revealed some qualitative changes in the organic-compounds of the oil from plants grown at sites of Lucknow city loaded with high vehicular load (auto-exhaust pollutants) over plants kept under relatively pollution free site. Several indicator bands that are pertained to functional groups represent chemical components or metabolic products. The quantity of the peppermint oil extracted from plants of site having highest traffic loads, in turn maximum ambient pollutants (NO2, SO2, O3, SPM & RSPM) was also found less as compared to plants grown in less polluted site. International Journal of Environment, Volume-2, Issue-1, Sep-Nov 2013, Pages 16-25 DOI: http://dx.doi.org/10.3126/ije.v2i1.9204

scholarly journals Efficient Discrimination of Some Moss Species by Fourier Transform Infrared Spectroscopy and Chemometrics

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Zhen Cao ◽  
Yongying Liu ◽  
Jiancheng Zhao
Keyword(s):  
Cluster Analysis ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Ftir Spectra ◽  
Chemical Components ◽  
Discrete Wavelet ◽  
Moss Species

Fourier transform infrared spectroscopy (FTIR) technique was used to classify 16 species from three moss families (Mielichhoferiaceae, Bryaceae, and Mniaceae). The FTIR spectra ranging from 4000 cm−1to 400 cm−1of the 16 species were obtained. To group the spectra according to their spectral similarity in a dendrogram, cluster analysis and principal component analysis (PCA) were performed. Cluster analysis combined with PCA was used to give a rough result of classification among the moss samples. However, some species belonging to the same genus exhibited very similar chemical components and similar FTIR spectra. Fourier self-deconvolution (FSD) was used to enhance the differences of the spectra. Discrete wavelet transform (DWT) was used to decompose the FTIR spectra ofMnium laevinerveandM. spinosum. Three scales were selected as the feature extracting space in the DWT domain. Results showed that FTIR spectroscopy combined with DWT was suitable for distinguishing different species of the same genus.

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