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Abdul Rohman - One of the best experts on this subject based on the ideXlab platform.
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use of fourier transform infrared FTIR Spectroscopy and chemometrics for analysis of lard adulteration in rambak crackers
International Journal of Food Properties, 2016Co-Authors: Yuny Erwanto, Afif Turindra Muttaqien, Abdul RohmanAbstract:“Rambak” crackers are one of the traditional foods consumed among Indonesian people made from various kinds of animal skin. The present study highlights the analysis of lard obtained from extraction of “rambak” crackers using Fourier transform infrared (FTIR) Spectroscopy in combination with chemometrics of partial least square and principle component analysis. FTIR Spectroscopy at wavenumber regions of 1200–1000 cm–1 was successfully used for quantification and classification of lard in “rambak” crackers. The relationship between actual value of lard and Fourier transform infrared predicted value has R2 value of 0.946 with low errors in calibration and validation models. Furthermore, the chemometrics principle component analysis can be successfully used for determination of pig skin through analysis of lard in commercial “rambak” crackers. The developed method (FTIR Spectroscopy coupled with chemometrics) is rapid and reliable for quantification and classification of lard in “rambak” crackers.
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FTIR Spectroscopy combined with partial least square for analysis of red fruit oil in ternary mixture system
International Journal of Spectroscopy, 2014Co-Authors: Abdul Rohman, Dwi Larasati Setyaningrum, Sugeng RiyantoAbstract:FTIR Spectroscopy is a promising method for quantification of edible oils. Three edible oils, namely, red fruit oil (RFO), corn oil (CO), and soybean oil (SO), in ternary mixture system were quantitatively analyzed using FTIR Spectroscopy in combination with partial least square (PLS). FTIR spectra of edible oils in ternary mixture were subjected to several treatments including normal spectra and their derivative. Using PLS calibration, the first derivative FTIR spectra can be exploited for determination of RFO; meanwhile, the second derivative spectra were preferred for determination of CO and SO. The values obtained for the relationship between actual and FTIR predicted values of RFO, CO, and SO were 0.9863, 0.9276, and 0.9693, respectively. The root mean square error of calibration (RMSEC) values obtained were 1.59, 1.72, and 1.60% (v/v) for RFO, CO, and SO, respectively. The result showed that FTIR Spectroscopy offers accurate and reliable technique for quantitative analysis of RFO, CO, and SO simultaneously in ternary mixture systems. Besides, the developed method can be extended for analysis of CO and SO as adulterants in RFO.
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authentication analysis of red fruit pandanus conoideus lam oil using FTIR Spectroscopy in combination with chemometrics
Phytochemical Analysis, 2011Co-Authors: Abdul Rohman, Yaakob Che B Man, Sugeng RiyantoAbstract:Introduction: Red fruit (Pandanus conoideus Lam) is endemic plant of Papua, Indonesia and Papua New Guinea. The price of its oil (red fruit oil, RFO) is 10–15 times higher than that of common vegetable oils; consequently, RFO is subjected to adulteration with lower price oils. Among common vegetable oils, canola oil (CaO) and rice bran oil (RBO) have similar fatty acid profiles to RFO as indicated by the score plot of principal component analysis; therefore, CaO and RBO are potential adulterants in RFO. Objective: To develop FTIR Spectroscopy in combination with chemometrics of partial least square regression (PLSR) and discriminant analysis (DA) for authentication of RFO from CaO and RBO. Results: The presence of CaO in RFO was better determined at frequency regions of 1200–1050 cm−1; meanwhile, the combined frequency ranges of 1207–1078 and 1747–1600 cm−1 were exploited for quantitative analysis of RBO with acceptable values of coefficient of determination (R2) and errors in calibration, prediction and during cross validation. DA based on Mahalanobis distance was able to discriminate between RFO and RFO adulterated with CaO and RBO. Conclusion: FTIR Spectroscopy combined with PLSR and DA can be successfully used for quantification and classification of oil adulterants in RFO. The developed method is rapid and environmentally friendly and sample preparation is easy.
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analysis of pork adulteration in beef meatball using fourier transform infrared FTIR Spectroscopy
Meat Science, 2011Co-Authors: Abdul Rohman, Yuny Erwanto, Yaakob Che B ManAbstract:Meatball is one of the favorite foods in Indonesia. The adulteration of pork in beef meatball is frequently occurring. This study was aimed to develop a fast and non destructive technique for the detection and quantification of pork in beef meatball using Fourier transform infrared (FTIR) Spectroscopy and partial least square (PLS) calibration. The spectral bands associated with pork fat (PF), beef fat (BF), and their mixtures in meatball formulation were scanned, interpreted, and identified by relating them to those spectroscopically representative to pure PF and BF. For quantitative analysis, PLS regression was used to develop a calibration model at the selected fingerprint regions of 1200–1000 cm−1. The equation obtained for the relationship between actual PF value and FTIR predicted values in PLS calibration model was y = 0.999x + 0.004, with coefficient of determination (R2) and root mean square error of calibration are 0.999 and 0.442, respectively. The PLS calibration model was subsequently used for the prediction of independent samples using laboratory made meatball samples containing the mixtures of BF and PF. Using 4 principal components, root mean square error of prediction is 0.742. The results showed that FTIR Spectroscopy can be used for the detection and quantification of pork in beef meatball formulation for Halal verification purposes.
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the optimization of FTIR Spectroscopy combined with partial least square for analysis of animal fats in quartenary mixtures
Spectroscopy, 2011Co-Authors: Abdul Rohman, Yaakob Che B ManAbstract:Four types of animal fats, namely lard (LD) and body fats of lamb (LBF), cow (Cow-BF) and chicken (Ch-BF), in quaternary mixtures were quantitatively analyzed using FTIR Spectroscopy in combination with multivariate calibration of partial least square (PLS). The animal fats, either individual or in quaternary mixtures, were subjected to horizontal total attenuated total reflectance (HATR) as sample handling technique and scanned at mid-infrared region (4000–650 cm–1) with resolution of 4 cm–1 and with 32 interferograms. PLS calibration revealed that the first derivative FTIR spectrum was well suited for the correlation between actual value of LD and FTIR calculated value. The other animal fats (LBF, Cow-BF and Ch-BF) were better determined using normal FTIR spectra. The coefficient of determination (R2) obtained using the optimized spectral treatments was higher than 0.99. The root mean standard error of calibration (RMSEC) values obtained were in the range of 0.773–1.55. Analysis of animal fats using FTIR Spectroscopy allows rapid, no excessive sample preparation, and can be regarded as “green analytical technique” due to the absence of solvent and chemical reagent used during the analysis.
Yaakob Che B Man - One of the best experts on this subject based on the ideXlab platform.
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authentication analysis of red fruit pandanus conoideus lam oil using FTIR Spectroscopy in combination with chemometrics
Phytochemical Analysis, 2011Co-Authors: Abdul Rohman, Yaakob Che B Man, Sugeng RiyantoAbstract:Introduction: Red fruit (Pandanus conoideus Lam) is endemic plant of Papua, Indonesia and Papua New Guinea. The price of its oil (red fruit oil, RFO) is 10–15 times higher than that of common vegetable oils; consequently, RFO is subjected to adulteration with lower price oils. Among common vegetable oils, canola oil (CaO) and rice bran oil (RBO) have similar fatty acid profiles to RFO as indicated by the score plot of principal component analysis; therefore, CaO and RBO are potential adulterants in RFO. Objective: To develop FTIR Spectroscopy in combination with chemometrics of partial least square regression (PLSR) and discriminant analysis (DA) for authentication of RFO from CaO and RBO. Results: The presence of CaO in RFO was better determined at frequency regions of 1200–1050 cm−1; meanwhile, the combined frequency ranges of 1207–1078 and 1747–1600 cm−1 were exploited for quantitative analysis of RBO with acceptable values of coefficient of determination (R2) and errors in calibration, prediction and during cross validation. DA based on Mahalanobis distance was able to discriminate between RFO and RFO adulterated with CaO and RBO. Conclusion: FTIR Spectroscopy combined with PLSR and DA can be successfully used for quantification and classification of oil adulterants in RFO. The developed method is rapid and environmentally friendly and sample preparation is easy.
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analysis of pork adulteration in beef meatball using fourier transform infrared FTIR Spectroscopy
Meat Science, 2011Co-Authors: Abdul Rohman, Yuny Erwanto, Yaakob Che B ManAbstract:Meatball is one of the favorite foods in Indonesia. The adulteration of pork in beef meatball is frequently occurring. This study was aimed to develop a fast and non destructive technique for the detection and quantification of pork in beef meatball using Fourier transform infrared (FTIR) Spectroscopy and partial least square (PLS) calibration. The spectral bands associated with pork fat (PF), beef fat (BF), and their mixtures in meatball formulation were scanned, interpreted, and identified by relating them to those spectroscopically representative to pure PF and BF. For quantitative analysis, PLS regression was used to develop a calibration model at the selected fingerprint regions of 1200–1000 cm−1. The equation obtained for the relationship between actual PF value and FTIR predicted values in PLS calibration model was y = 0.999x + 0.004, with coefficient of determination (R2) and root mean square error of calibration are 0.999 and 0.442, respectively. The PLS calibration model was subsequently used for the prediction of independent samples using laboratory made meatball samples containing the mixtures of BF and PF. Using 4 principal components, root mean square error of prediction is 0.742. The results showed that FTIR Spectroscopy can be used for the detection and quantification of pork in beef meatball formulation for Halal verification purposes.
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the optimization of FTIR Spectroscopy combined with partial least square for analysis of animal fats in quartenary mixtures
Spectroscopy, 2011Co-Authors: Abdul Rohman, Yaakob Che B ManAbstract:Four types of animal fats, namely lard (LD) and body fats of lamb (LBF), cow (Cow-BF) and chicken (Ch-BF), in quaternary mixtures were quantitatively analyzed using FTIR Spectroscopy in combination with multivariate calibration of partial least square (PLS). The animal fats, either individual or in quaternary mixtures, were subjected to horizontal total attenuated total reflectance (HATR) as sample handling technique and scanned at mid-infrared region (4000–650 cm–1) with resolution of 4 cm–1 and with 32 interferograms. PLS calibration revealed that the first derivative FTIR spectrum was well suited for the correlation between actual value of LD and FTIR calculated value. The other animal fats (LBF, Cow-BF and Ch-BF) were better determined using normal FTIR spectra. The coefficient of determination (R2) obtained using the optimized spectral treatments was higher than 0.99. The root mean standard error of calibration (RMSEC) values obtained were in the range of 0.773–1.55. Analysis of animal fats using FTIR Spectroscopy allows rapid, no excessive sample preparation, and can be regarded as “green analytical technique” due to the absence of solvent and chemical reagent used during the analysis.
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quantitative analysis of virgin coconut oil in cream cosmetics preparations using fourier transform infrared FTIR Spectroscopy
Pakistan Journal of Pharmaceutical Sciences, 2009Co-Authors: Abdul Rohman, Yaakob Che B ManAbstract:Today, virgin coconut oil (VCO) is becoming valuable oil and is receiving an attractive topic for researchers because of its several biological activities. In cosmetics industry, VCO is excellent material which functions as a skin moisturizer and softener. Therefore, it is important to develop a quantitative analytical method offering a fast and reliable technique. Fourier transform infrared (FTIR) Spectroscopy with sample handling technique of attenuated total reflectance (ATR) can be successfully used to analyze VCO quantitatively in cream cosmetic preparations. A multivariate analysis using calibration of partial least square (PLS) model revealed the good relationship between actual value and FTIR-predicted value of VCO with coefficient of determination (R2) of 0.998.
Masaru Tanokura - One of the best experts on this subject based on the ideXlab platform.
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coordination to divalent cations by calcium binding proteins studied by FTIR Spectroscopy
Biochimica et Biophysica Acta, 2013Co-Authors: Masayuki Nara, Hisayuki Morii, Masaru TanokuraAbstract:article i nfo − group Calcium binding protein Coordination structure We review the Fourier-transform infrared (FTIR) Spectroscopy of side-chain COO − groups of Ca 2+ -binding proteins: parvalbumins, bovine calmodulin, akazara scallop troponin C and related calcium binding proteins and peptide analogues. The COO − stretching vibration modes can be used to identify the coordination modes of COO − groups of Ca 2+ -binding proteins to metal ions: bidentate, unidentate, and pseudo-bridging. FTIR Spectroscopy demonstrates that the coordination structure of Mg 2+ is distinctly different from that of Ca 2+ in the Ca 2+ -binding site in solution. The interpretation of COO − stretches is ensured on the basis of the spectra of calcium-binding peptide analogues. The implication of COO − stretches is discussed for Ca 2+ -binding proteins. This article is part of a Special Issue entitled: FTIR in membrane proteins and peptide studies.
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coordination to divalent cations by calcium binding proteins studied by FTIR Spectroscopy
Biochimica et Biophysica Acta, 2013Co-Authors: Masayuki Nara, Hisayuki Morii, Masaru TanokuraAbstract:We review the Fourier-transform infrared (FTIR) Spectroscopy of side-chain COO(-) groups of Ca(2+)-binding proteins: parvalbumins, bovine calmodulin, akazara scallop troponin C and related calcium binding proteins and peptide analogues. The COO(-) stretching vibration modes can be used to identify the coordination modes of COO(-) groups of Ca(2+)-binding proteins to metal ions: bidentate, unidentate, and pseudo-bridging. FTIR Spectroscopy demonstrates that the coordination structure of Mg(2+) is distinctly different from that of Ca(2+) in the Ca(2+)-binding site in solution. The interpretation of COO(-) stretches is ensured on the basis of the spectra of calcium-binding peptide analogues. The implication of COO(-) stretches is discussed for Ca(2+)-binding proteins. This article is part of a Special Issue entitled: FTIR in membrane proteins and peptide studies.
Ihtesham Ur Rehman - One of the best experts on this subject based on the ideXlab platform.
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advances in fourier transform infrared FTIR Spectroscopy of biological tissues
Applied Spectroscopy Reviews, 2017Co-Authors: Abdullah Chandra Sekhar Talari, Marcela Garcia A Martinez, Zanyar Movasaghi, Shazza Rehman, Ihtesham Ur RehmanAbstract:This article reviews some of the recent advances on FTIR Spectroscopy in areas related to natural tissues and cell biology. It is an update on our previously published review on the applications of...
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fourier transform infrared FTIR Spectroscopy of biological tissues
Applied Spectroscopy Reviews, 2008Co-Authors: Zanyar Movasaghi, Shazza Rehman, Ihtesham Ur RehmanAbstract:Abstract This article reviews some of the recent advances on FTIR Spectroscopy in areas related to natural tissues and cell biology. It is the second review publication resulting from a detailed study on the applications of spectroscopic methods in biological studies and summarizes some of the most widely used peak frequencies and their assignments. The aim of these studies is to prepare a database of molecular fingerprints, which will help researchers in defining the chemical structure of the biological tissues introducing most of the important peaks present in the natural tissues. In spite of applying different methods, there seems to be a considerable similarity in defining the peaks of identical areas of the FTIR spectra. As a result, it is believed that preparing a unique collection of the frequencies encountered in FTIR spectroscopic studies can lead to significant improvements both in the quantity and quality of research and their outcomes. This article is the first review of its kind that provides...
Sugeng Riyanto - One of the best experts on this subject based on the ideXlab platform.
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FTIR Spectroscopy combined with partial least square for analysis of red fruit oil in ternary mixture system
International Journal of Spectroscopy, 2014Co-Authors: Abdul Rohman, Dwi Larasati Setyaningrum, Sugeng RiyantoAbstract:FTIR Spectroscopy is a promising method for quantification of edible oils. Three edible oils, namely, red fruit oil (RFO), corn oil (CO), and soybean oil (SO), in ternary mixture system were quantitatively analyzed using FTIR Spectroscopy in combination with partial least square (PLS). FTIR spectra of edible oils in ternary mixture were subjected to several treatments including normal spectra and their derivative. Using PLS calibration, the first derivative FTIR spectra can be exploited for determination of RFO; meanwhile, the second derivative spectra were preferred for determination of CO and SO. The values obtained for the relationship between actual and FTIR predicted values of RFO, CO, and SO were 0.9863, 0.9276, and 0.9693, respectively. The root mean square error of calibration (RMSEC) values obtained were 1.59, 1.72, and 1.60% (v/v) for RFO, CO, and SO, respectively. The result showed that FTIR Spectroscopy offers accurate and reliable technique for quantitative analysis of RFO, CO, and SO simultaneously in ternary mixture systems. Besides, the developed method can be extended for analysis of CO and SO as adulterants in RFO.
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authentication analysis of red fruit pandanus conoideus lam oil using FTIR Spectroscopy in combination with chemometrics
Phytochemical Analysis, 2011Co-Authors: Abdul Rohman, Yaakob Che B Man, Sugeng RiyantoAbstract:Introduction: Red fruit (Pandanus conoideus Lam) is endemic plant of Papua, Indonesia and Papua New Guinea. The price of its oil (red fruit oil, RFO) is 10–15 times higher than that of common vegetable oils; consequently, RFO is subjected to adulteration with lower price oils. Among common vegetable oils, canola oil (CaO) and rice bran oil (RBO) have similar fatty acid profiles to RFO as indicated by the score plot of principal component analysis; therefore, CaO and RBO are potential adulterants in RFO. Objective: To develop FTIR Spectroscopy in combination with chemometrics of partial least square regression (PLSR) and discriminant analysis (DA) for authentication of RFO from CaO and RBO. Results: The presence of CaO in RFO was better determined at frequency regions of 1200–1050 cm−1; meanwhile, the combined frequency ranges of 1207–1078 and 1747–1600 cm−1 were exploited for quantitative analysis of RBO with acceptable values of coefficient of determination (R2) and errors in calibration, prediction and during cross validation. DA based on Mahalanobis distance was able to discriminate between RFO and RFO adulterated with CaO and RBO. Conclusion: FTIR Spectroscopy combined with PLSR and DA can be successfully used for quantification and classification of oil adulterants in RFO. The developed method is rapid and environmentally friendly and sample preparation is easy.
