2022
DOI: 10.1016/j.foodcont.2022.109093
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The detection and determination of adulterants in turmeric using fourier-transform infrared (FTIR) spectroscopy coupled to chemometric analysis and micro-FTIR imaging

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Cited by 23 publications
(4 citation statements)
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“…The main structure of lignin was very similar to the characteristic band of the functional group. There was no significant change at 1273, 1081, 1046, or 878 cm −1 , and S. holocarpa (methanol) was also weakened at 2980 cm −1 of cellulose, indicating that cellulose lignin was extracted [ 37 ]. The latter part was hydrolyzed [ 38 ].…”
Section: Resultsmentioning
confidence: 99%
“…The main structure of lignin was very similar to the characteristic band of the functional group. There was no significant change at 1273, 1081, 1046, or 878 cm −1 , and S. holocarpa (methanol) was also weakened at 2980 cm −1 of cellulose, indicating that cellulose lignin was extracted [ 37 ]. The latter part was hydrolyzed [ 38 ].…”
Section: Resultsmentioning
confidence: 99%
“…The FT-IR technique was used to identify the absorption peaks of the functional groups of the samples, and enables fast and non-destructive identification of the contents of various chemical components of different kinds in medicinal plant samples [ 40 ]. Currently, FT-IR technology is widely used in the field of authenticity identification and chemical composition prediction for Chinese herbal medicines [ 41 , 42 ]. Yang et al established a partial least squares regression model for different geographical regions of Paris polyphylla var.…”
Section: Discussionmentioning
confidence: 99%
“…Modern analytical techniques have been reported to play a key role in the detection of fraud in foods (Hong et al ., 2017). These techniques include FT‐IR spectroscopy in the detection of fraud in turmeric (Shannon et al ., 2022), polymerase chain reaction (PCR) in the detection of milk powder adulteration (Ewida & Abd El‐Magiud, 2018), Gas Chromatography–Mass Spectrometry (GC–MS) in the detection of adulterants in roasted coffee (Toci & Farah, 2014), and Raman hyperspectral imaging in the detection of wheat flour adulteration (Lohumi et al ., 2019). These modern techniques have demonstrated success in the detection of food fraud through adulteration.…”
Section: Introductionmentioning
confidence: 99%