scholarly journals Synthesis of coral-like silver chloride-polypyrrole nanocomposites derived from silver nanoparticles and the study of their structural, thermal, optical, and electrical properties

2021 ◽  
Vol 48 (4) ◽  
Author(s):  
Farah Kanwal ◽  
◽  
Aisha Batool ◽  
Muniba Aslam ◽  
Fatima Aziz ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Ag Nanoparticles ◽  
Silver Chloride ◽  
Fourier Transform Infrared ◽  
Chemical Oxidation ◽  
Polymerization Process ◽  
Bandgap Energy ◽  
Critical Weight ◽  
Weight Percentage ◽  
The Fourier Transform

In this research, we developed a facile method for the synthesis of silver chloride: polypyrrole (AgCl: PPy) nanocomposites with enhanced structural, thermal, optical, and conducting properties. Polypyrrole monomer was in-situ doped with varying weight percentages of assynthesized Ag nanoparticles by following simple chemical oxidation polymerization technique to form AgCl: PPy nanocomposites. The AgCl nanostructures with tree-like coral morphology are distributed uniformly into the PPy matrix without any segregation. The Fourier transform infrared spectroscopy results reveal the successful incorporation of AgCl in the organic structure of PPy. X-ray diffraction analysis shows the formation of AgCl nanostructures in the PPy matrix during the chemical polymerization process that increases the crystallinity of amorphous PPy. The TGA analysis demonstrates the improved thermal stability of PPy nanocomposites due to the development of physiochemical interactions between the AgCl and PPy moities, this is also inferred from Fourier transform infrared results. It is noted that the electrical conductivity of AgCl: PPy nanocomposites is significantly controlled by the weight percentage of dispersed Ag nanoparticles in the polymerization assembly. The highest conductivity (1335 S cm-1) of PPy nanocomposite is attributed to the decrease in particle size, shortening of the PPy chain length, and lower bandgap energy presented at the critical weight percentage of Ag nanoparticles.

scholarly journals Variety Identification of Orchids Using Fourier Transform Infrared Spectroscopy Combined with Stacked Sparse Auto-Encoder

Molecules ◽  
2019 ◽  
Vol 24 (13) ◽  
pp. 2506 ◽  
Author(s):  
Yunfeng Chen ◽  
Yue Chen ◽  
Xuping Feng ◽  
Xufeng Yang ◽  
Jinnuo Zhang ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Spectroscopic Technique ◽  
Variety Identification ◽  
Support Vector ◽  
K Nearest Neighbors ◽  
Discriminant Models ◽  
The Fourier Transform ◽  
Better Than

The feasibility of using the fourier transform infrared (FTIR) spectroscopic technique with a stacked sparse auto-encoder (SSAE) to identify orchid varieties was studied. Spectral data of 13 orchids varieties covering the spectral range of 4000–550 cm−1 were acquired to establish discriminant models and to select optimal spectral variables. K nearest neighbors (KNN), support vector machine (SVM), and SSAE models were built using full spectra. The SSAE model performed better than the KNN and SVM models and obtained a classification accuracy 99.4% in the calibration set and 97.9% in the prediction set. Then, three algorithms, principal component analysis loading (PCA-loading), competitive adaptive reweighted sampling (CARS), and stacked sparse auto-encoder guided backward (SSAE-GB), were used to select 39, 300, and 38 optimal wavenumbers, respectively. The KNN and SVM models were built based on optimal wavenumbers. Most of the optimal wavenumbers-based models performed slightly better than the all wavenumbers-based models. The performance of the SSAE-GB was better than the other two from the perspective of the accuracy of the discriminant models and the number of optimal wavenumbers. The results of this study showed that the FTIR spectroscopic technique combined with the SSAE algorithm could be adopted in the identification of the orchid varieties.

scholarly journals Application of Fourier Transform Infrared Spectrophotometry Method for Analysis of Metformin Hydrochloride in Marketed Tablet Dosage Form

2021 ◽  
Vol 7 (2) ◽  
pp. 168-177
Author(s):  
Nerdy Nerdy ◽  
Linda Margata ◽  
Dian Ika Perbina Meliala ◽  
Bunga Mari Sembiring ◽  
Selamat Ginting ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Dosage Form ◽  
Limit Of Detection ◽  
Fourier Transform Infrared ◽  
Metformin Hydrochloride ◽  
Infrared Spectrophotometry ◽  
Relative Standard ◽  
Limit Of Quantitation ◽  
The Fourier Transform ◽  
Tablet Dosage

The first line drug given for monotherapy for diabetes mellitus type 2 is metformin hydrochloride, which is a biguanide antihyperglycemic drug. The aim of this research was to develop, validate, and apply the Fourier Transform Infrared spectrophotometry method to identify and determine metformin hydrochloride in marketed tablet dosage form. This research included preparation of standard, analysis of samples, and validation of method. The specific wavenumber obtained for qualitative analysis was 1645.68 cm–1 and 1574.8 cm–1. The specific area obtained for quantitative analysis with a single baseline ranged from 1701.53 cm–1 to 1535.66 cm–1. All metformin hydrochloride marketed tablet dosage forms were analyzed and met all of the qualitative and quantitative requirements. The methods met the requirements of method validation for accuracy with a percentage of recovery of 100.22 %, precision with relative standard deviation of 0.48 %, linearity with a correlation coefficient of 0.9992, limit of detection of 11.17 mg per mL, limit of quantitation of 33.84 mg per mL, and good specificity results. In this study, the Fourier Transform Infrared spectrophotometry method was successfully developed and validated for application in identification and determination of metformin hydrochloride in marketed tablet dosage form.

scholarly journals Intensity Simulation of a Fourier Transform Infrared Spectrometer

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1833 ◽  
Author(s):  
Zhuoya Ni ◽  
Qifeng Lu ◽  
Yishu Xu ◽  
Hongyuan Huo
Keyword(s):  
Fourier Transform ◽  
Brightness Temperature ◽  
Michelson Interferometer ◽  
Fourier Transform Infrared ◽  
Core Element ◽  
Simulation Process ◽  
Fourier Transform Infrared Spectrometer ◽  
Infrared Spectrometer ◽  
Input Spectrum ◽  
The Fourier Transform

This paper introduces an intensity simulation for the Fourier transform infrared spectrometer whose core element is the Michelson interferometer to provide support for the on-orbit monitoring of the instrument and to improve the data processing and application of the Fourier transform spectrometer. The Geostationary Interferometric Infrared Imager (GIIRS) aboard on Fengyun-4B (FY-4B) satellite, which will be launched in 2020, aims to provide hyperspectral infrared observations. An intensity simulation of the Michelson interferometer based on the GIIRS’s instrument parameters is systematically analyzed in this paper. Off-axis effects and non-linearity response are two important factors to be considered in this simulation. Off-axis effects mainly cause the wavenumber shift to induce a large brightness temperature error compared with the input spectrum, and the non-linearity response reduces the energy received by the detector. Then, off-axis effects and a non-linearity response are added to the input spectrum successively to obtain the final spectrum. Off-axis correction and non-linearity correction are also developed to give a full simulation process. Comparing the corrected spectrum with the input spectrum, we can see that the brightness temperature errors have a magnitude of 10−3 K, and this fully proves the reliability and rationality of the whole simulation process.

A Conversion and Tribology Investigation on Used Ayurvedic Oil

2015 ◽  
Vol 813-814 ◽  
pp. 885-889 ◽  
Author(s):  
Ranganathan Balakumar ◽  
G. Sriram ◽  
S. Arumugam ◽  
V. Abhijith Koushal ◽  
Villa Sai Surya Venkatesh
Keyword(s):  
Fourier Transform ◽  
Methyl Ester ◽  
Ftir Spectroscopy ◽  
Diesel Fuel ◽  
Alternative Fuels ◽  
Fourier Transform Infrared ◽  
Wear Scar ◽  
Spectroscopy Analysis ◽  
Ic Engine ◽  
The Fourier Transform

Biofuel plays a major role in IC engine nowadays. Used Ayurvedic Oil (UAO) is one among the alternative fuels utilized. The preliminary property studies were carried out and the UAO had undergone simple Transesterification process to be converted to Used Ayurvedic Oil Methyl Ester (UAOME). The Fourier Transform Infrared (FTIR) spectroscopy analysis confirmed the UAO to UAOME conversion. The Trobological investigation on UAOME is also conducted using Four Ball Wear Tester. The results showed that lower wear scar was observed in UAOME comparatively with diesel. From the results it is clear that the UAO can be a novel partial substitute for diesel fuel.

Infrared Spectra of Poly(Methyl Methacrylate) Labeled with Oxygen-18

1979 ◽  
Vol 33 (6) ◽  
pp. 551-555 ◽  
Author(s):  
Stoil Dirlikov ◽  
Jack L. Koenig
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Infrared Spectrum ◽  
Methyl Methacrylate ◽  
Fourier Transform Infrared Spectroscopy ◽  
Infrared Spectra ◽  
Fourier Transform Infrared ◽  
Simple Method ◽  
Poly Methyl Methacrylate ◽  
The Fourier Transform

Fourier transform infrared spectrum of atactic poly(methyl methacrylate) (PMMA) is compared with that of atactic PMMA labeled with 18O in the ester groups. The results obtained define the assignment of the bands associated with vibrations of the ester groups of PMMA. Furthermore, the Fourier transform infrared spectroscopy provides a simple method for obtaining the spectra of “pure” derivatives containing 18O.

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