Ultraviolet-induced crosslinking of poly(vinyl alcohol) evaluated by principal component analysis of FTIR spectra

2001 ◽  
Vol 50 (10) ◽  
pp. 1068-1072 ◽  
Author(s):  
Teresa M R Miranda ◽  
Adilson R Gonçalves ◽  
M T Pessoa Amorim
Keyword(s):  
Principal Component Analysis ◽  
Vinyl Alcohol ◽  
Principal Component ◽  
Component Analysis ◽  
Ftir Spectra ◽  
Poly Vinyl Alcohol

scholarly journals Data Fusion of UV-Vis and FTIR Spectra Combined with Principal Component Analysis for Distinguishing of Andrographis paniculata Extracts Based on Cultivation Ages and Solvent Extraction

2021 ◽  
Vol 21 (3) ◽  
pp. 753
Author(s):  
Antonio Kautsar ◽  
Wulan Tri Wahyuni ◽  
Utami Dyah Syafitri ◽  
Syifa Muflihah ◽  
Nursifa Mawadah ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Solvent Extraction ◽  
Data Fusion ◽  
Three Dimensional ◽  
Principal Component ◽  
Component Analysis ◽  
Ftir Spectra ◽  
Andrographis Paniculata ◽  
Score Plot ◽  
Using Data

Andrographis paniculata is one of the medicinal plants used for the treatment of antidiabetic. Cultivation ages and solvent extraction affected metabolites' composition and concentration that directly cause the plant's efficacies. This research aimed to distinguish A. paniculata based on cultivation ages and solvent extraction using data fusion of UV-Vis and FTIR spectra combined with principal component analysis (PCA). A. paniculata with 2, 3, and 4 months post-planting were extracted by water, 50% ethanol, 70% ethanol, and ethanol. In each extract, we measured UV-Vis and FTIR spectra. Then, we used the data fusion from both spectra. We used UV-Vis and FTIR absorbance from 200–400 nm and 1800–400 cm–1, respectively. Each extract gives a similar pattern of UV-Vis and FTIR spectra, only differ in their intensities. PCA score plot in two and three-dimensional showed A. paniculata extracts could be distinguished based on cultivation ages and solvent extraction with a total variance of 86 and 92%, respectively. Furthermore, this study confirms the data fusion of UV-Vis and FTIR spectra could distinguished A. paniculata extracts combined with chemometrics based on cultivation ages and solvent extraction.

Application of principal component analysis to a full profile correlative analysis of FTIR spectra

2011 ◽  
Vol 44 (3) ◽  
pp. 365-371 ◽  
Author(s):  
Scott R. Broderick ◽  
Changwon Suh ◽  
J Provine ◽  
Christopher S. Roper ◽  
Roya Maboudian ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Ftir Spectra ◽  
Correlative Analysis ◽  
Full Profile

scholarly journals Rapid Screening of Microfibrillated Cellulose Tructure Through FTIR and Principal Component Analsysis

2021 ◽  
Vol 1192 (1) ◽  
pp. 012009
Author(s):  
N F N M Nor ◽  
N F M Azmin ◽  
A L Asnawi ◽  
D N Jimat ◽  
S Abdullah
Keyword(s):  
Principal Component Analysis ◽  
Wavelength Region ◽  
Principal Component ◽  
Component Analysis ◽  
Microfibrillated Cellulose ◽  
Ftir Spectra ◽  
Rapid Screening ◽  
Multivariate Statistical ◽  
Statistical Analysis Technique ◽  
Scale Experiment

Abstract Analysis of FTIR spectra combined with multivariate statistical analysis technique specifically Principal Component Analysis was used for rapid screening of microfibrillated cellulose (MFC) structure. The current methods used to extract the MFC are by using the chemical and physical approaches. To date, most researchers focused on bench (lab) scale experiment to identify the structure of MFC. Lack of mathematical models focusing on this goal has motivated this project. Principal component analysis is applied to identify the chemical composition of the MFC. The dataset comprises FTIR spectra of 12 samples that comes from MFC with different particles sizes, 200 µm, 250 µm and 800 µm. The result shows that the wavelength region which represents the MFC structure is in the range of 2950 cm-1 to 2978 cm-1 for particle size of 200 micrometer since it has larger surface area for penetration of fungal into the biomass due to lower diffusion of air, water and metabolite intermediates of which cellulose can be easily hydrolyzed due to increase in pore size of substance through greater removal of hemicellulose and lignin. The overall result indicates that the combination of FTIR analysis and PCA is a useful technique for rapid screening of MFC structure.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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