Prediction of Oriented Strand Board Wood Strand Density by near Infrared and Fourier Transform Infrared Reflectance Spectroscopy

2010 ◽  
Vol 18 (6) ◽  
pp. 491-498 ◽  
Author(s):  
Brian K. Via
Keyword(s):  
Fourier Transform ◽  
Near Infrared ◽  
Oriented Strand Board ◽  
Fourier Transform Infrared ◽  
Reflectance Spectroscopy ◽  
Infrared Reflectance ◽  
Infrared Reflectance Spectroscopy ◽  
Wood Strand

scholarly journals Micro-Fourier-Transform Infrared Reflectance Spectroscopy as Tool for Probing IgG Glycosylation in COVID-19 Patients

2021 ◽  
Author(s):  
Carla Bandeira ◽  
Karen Madureira ◽  
Meire Rossi ◽  
Juliana Gallo ◽  
Ana Paula da Silva ◽  
...  
Keyword(s):  
Immune Response ◽  
Fourier Transform ◽  
Blood Serum ◽  
Fourier Transform Infrared ◽  
Reflectance Spectroscopy ◽  
Receiver Operating Curve ◽  
Infrared Reflectance ◽  
Serum Samples ◽  
Infrared Reflectance Spectroscopy ◽  
Igg Glycosylation

Abstract It has been reported that patients diagnosed with COVID-19 become critically ill primarily around the time of activation of the adaptive immune response. However the role of antibodies in the worsening of disease is not obvious. Higher titers of anti-spike immunoglobulin IgG1 associated to low fucosylation of the antibody Fc tail have been associated to excessive inflammatory response. In contrast it has been also reported in literature that NP-, S-, RBD- specific IgA, IgG, IgM are not associated with SARS-CoV-2 viral load, indicating that there is no obvious correlation between antibody response and viral antigen detection. In the present work the micro-Fourier-Transform Infrared reflectance spectroscopy (micro-FTIR) was employed to investigate blood serum samples of healthy and COVID-19 (mild or oligosynthomatic) individuals (82 healthcare workers volunteers in “Instituto de Infectologia Emilio Ribas”, São Paulo, Brazil). The molecular-level-sensitive, multiplexing quantitative and qualitative FTIR data probed on 1 mL of dryed biofluidwas compared to Signal-to-Cutoff index of chemiluminescent immunoassays CLIA and ELISA (IgG antibodies against SARS-CoV-2). Our main result indicated that 1702-1785 cm-1 spectral window (carbonyl C=O vibration) appeared to be a spectral marker of the degree of IgG glycosylation, allowing to probe distinctive subpopulations of COVID-19 patients, depending on their degree of severity. The specificity was 87.5 % while the detection rate of true positive was 100%. The computed area under the receiver operating curve was equivalent to CLIA, ELISA and other ATR-FTIR methods (> 0.85). In summary, overall discrimination of healthy and COVID-19 individuals and severity prediction as well could also be potentially implemented using micro-FTIR reflectance spectroscopy on blood serum samples. Considering the minimal and reagent-free sample preparation procedures combined to fast (few minutes) outcome of FTIR we can state that this technology is very suitable for fast screening of immune response of individuals with COVID-19. It would be an important tool in prospective studies, helping investigate the physiology of the asymptomatic, oligosymptomatic, or severe individuals and measure the extension of infection dissemination in patients.

Characterization of 4H—SiC substrates and epilayers by Fourier transform infrared reflectance spectroscopy

2012 ◽  
Vol 21 (4) ◽  
pp. 047802 ◽  
Author(s):  
Lin Dong ◽  
Guo-Sheng Sun ◽  
Liu Zheng ◽  
Xing-Fang Liu ◽  
Feng Zhang ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Fourier Transform Infrared ◽  
Reflectance Spectroscopy ◽  
Infrared Reflectance ◽  
Infrared Reflectance Spectroscopy
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