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Title: :  Automatic Characteristic FTIR Frequency Analysis
PaperId: :  25489
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 1 2025
DUI:    16.0415/IJARIIE-25489
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
M RihanAlvas institute of engineering and technology
M YaminAlvas institute of engineering and technology
M AdilAlvas institute of engineering and technology
Arvinkanth SuvarnaAlvas institute of engineering and technology
Mr. Mounesh KAlvas institute of engineering and technology

Abstract

Information Science and Engineering
FTIR spectroscopy, molecular analysis, functional group identification, automation in spectroscopy, signal processing, artificial intelligence (AI), machine learning, spectral frequency detection, data preprocessing, noise reduction, overlapping peaks, pharmaceuticals, polymers, environmental monitoring, cloud-based analysis
Fourier Transform Infrared (FTIR) spectroscopy is a cornerstone technique for elucidating molecular structures and identifying functional groups by analyzing their unique vibrational frequencies. Traditional FTIR analysis often involves laborious manual procedures, susceptible to human error and time constraints. Recent advancements, driven by computational methods, signal processing, and artificial intelligence (AI), have ushered in automated FTIR analysis, facilitating faster and more accurate identification of characteristic frequencies. This review explores cutting-edge innovations in automated FTIR analysis, focusing on methods for detecting and interpreting key spectral features. It delves into advancements in software technologies, machine learning models, and data preprocessing techniques that enhance accuracy and efficiency. The paper examines applications across diverse fields, including pharmaceuticals, polymer science, and environmental monitoring, while acknowledging persistent challenges such as spectral noise, overlapping peaks, and data standardization. Finally, the review highlights emerging trends and future prospects, including AI-powered solutions and cloud-based platforms, that are poised to revolutionize FTIR spectroscopy.

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IJARIIE M Rihan, M Yamin, M Adil, Arvinkanth Suvarna, and Mr. Mounesh K. "Automatic Characteristic FTIR Frequency Analysis" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 1 2025 Page 1448-1451
MLA M Rihan, M Yamin, M Adil, Arvinkanth Suvarna, and Mr. Mounesh K. "Automatic Characteristic FTIR Frequency Analysis." International Journal Of Advance Research And Innovative Ideas In Education 11.1(2025) : 1448-1451.
APA M Rihan, M Yamin, M Adil, Arvinkanth Suvarna, & Mr. Mounesh K. (2025). Automatic Characteristic FTIR Frequency Analysis. International Journal Of Advance Research And Innovative Ideas In Education, 11(1), 1448-1451.
Chicago M Rihan, M Yamin, M Adil, Arvinkanth Suvarna, and Mr. Mounesh K. "Automatic Characteristic FTIR Frequency Analysis." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 1 (2025) : 1448-1451.
Oxford M Rihan, M Yamin, M Adil, Arvinkanth Suvarna, and Mr. Mounesh K. 'Automatic Characteristic FTIR Frequency Analysis', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, 2025, p. 1448-1451. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Automatic_Characteristic_FTIR_Frequency_Analysis_ijariie25489.pdf (Accessed : 01 March 2025).
Harvard M Rihan, M Yamin, M Adil, Arvinkanth Suvarna, and Mr. Mounesh K. (2025) 'Automatic Characteristic FTIR Frequency Analysis', International Journal Of Advance Research And Innovative Ideas In Education, 11(1), pp. 1448-1451IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Automatic_Characteristic_FTIR_Frequency_Analysis_ijariie25489.pdf (Accessed : 01 March 2025)
IEEE M Rihan, M Yamin, M Adil, Arvinkanth Suvarna, and Mr. Mounesh K, "Automatic Characteristic FTIR Frequency Analysis," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, pp. 1448-1451, Jan-Feb 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Automatic_Characteristic_FTIR_Frequency_Analysis_ijariie25489.pdf [Accessed : 01 March 2025].
Turabian M Rihan, M Yamin, M Adil, Arvinkanth Suvarna, and Mr. Mounesh K. "Automatic Characteristic FTIR Frequency Analysis." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 1 (01 March 2025).
Vancouver M Rihan, M Yamin, M Adil, Arvinkanth Suvarna, and Mr. Mounesh K. Automatic Characteristic FTIR Frequency Analysis. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : 01 March 2025]; 11(1) : 1448-1451. Available from: https://ijariie.com/AdminUploadPdf/Automatic_Characteristic_FTIR_Frequency_Analysis_ijariie25489.pdf
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