Rapid and non-destructive approach for the detection of fried mustard oil adulteration in pure mustard oil via ATR-FTIR spectroscopy-chemometrics

Jamwal, Rahul; Kumari, Shivani; Balan, Biji; Kelly, Simon; Cannavan, Andrew; Singh, Dileep Kumar

doi:10.1016/j.saa.2020.118822

Cited by 38 publications

(12 citation statements)

References 33 publications

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“…PCR is a regression analysis based on PCA ( 23 ). It decomposes the X matrix by PCA, and then takes the transformed new variables as predictive variables for multiple linear regression (MLR) ( 24 ). PLS-DA is a linear supervised classification technique combining partial least squares (PLS) regression with linear discriminant analysis (LDA) ( 25 ).…”

Section: Methodsmentioning

confidence: 99%

“…In order to evaluate the classification effect of these four bands on serum of patients with lung cancer and healthy people, PCR and PLS-DA were performed on the spectral data after preprocessing using full cross-validation. A model with a low value of RMSE and a high value of R 2 closer to 1 is considered to be a good model (24,34). Figure 4 shows the score plot of Factor-1 and Factor-2 using PLS-DA model for first derivative spectral data in nucleic acids (1250-1000cm −1 ) band.…”

Section: Chemometrics Analysismentioning

confidence: 99%

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Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics

Yang

Qian

et al. 2021

Front. Oncol.

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Lung cancer is the leading cause of cancer-related death in the world. Early diagnosis has great significance for the survival of patients with lung cancer. In this paper, attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy combined with chemometrics was used to study the serum samples from patients with lung cancer and healthy people. The results of spectral band area comparison showed that the concentrations of protein, lipid and nucleic acids molecules in serum of patients with lung cancer were increased compared with those in healthy people. The original spectra were preprocessed to improve the accuracy of principal component regression (PCR) and partial least squares-discriminant analysis (PLS-DA) models. PLS-DA results for first derivative spectral data in nucleic acids (1250-1000cm-1) band showed 80% sensitivity, 91.89% specificity and 87.10% accuracy with high Rc2 of 0.8949 and Rv2 of 0.8153, low RMSEC of 0.3136 and RMSEV of 0.4180. It is shown that ATR-FTIR spectroscopy combined with chemometrics might be developed as a simple method for clinical screening and diagnosis of lung cancer.

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Section: Methodsmentioning

confidence: 99%

Section: Chemometrics Analysismentioning

confidence: 99%

Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics

Yang

Qian

et al. 2021

Front. Oncol.

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“…and FFA formed after the hydrolysis of ester groups. The information obtained through the spectroscopic data is presenting the noticeable differences among various frying; however, it is essential to apply multivariate calibration to validate the information from such complex and overlapping spectra (Jamwal et al, 2021).…”

Section: Chemical Characterization In Multiple Fryingmentioning

confidence: 99%

Monitoring of frying process in canola oil blend using fourier transform infrared and chemometrics techniques

Ahmad

Shahbaz

Imran

et al. 2021

Food Science & Nutrition

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Fats and oils play a crucial role in our daily food consumption as they give us vital fatty acids and intense energy supply. Frying in fats and oils is one of very old techniques used in processing of food for quick preparation and provides some special effect on sensation of food (Bou et al., 2012). This deep fat frying (DFF) process is performed by fully immersing the foods in hot oil based on the continuous heat and the mass transfer at elevated temperatures ranging from 150 to 200°C (Moreira, 2014). DFF efficiency relies on either the process of frying itself, the nature of the food, and/or type of frying oil (Marikkar et al., 2011). During the process, thermooxidation and cleavage of triglycerides occur at higher temperatures in the presence of oxygen, particularly if the oil is polyunsaturated, resultantly, the formation of volatile and nonvolatile oxidative compounds. Repeated and persistent use of fried oils produces undesirable compounds that may affect nutritional quality and pose potential threats to the nutrition and human health (Andrikopoulos

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“…This strategy provides good guidance and information for spectroscopists, who work not only in the fields of corrosion, but also polymeric products, food, pharmaceutical, forensics, and other QA/QC‐related industries by employing a practical protocol for the industry practice, in this case, through estimation of degree of similarity between sample and “qualified” Reference spectra using mathematical compare algorithm. [ 11–15 ] Oulahal et al (2009) revealed that high r values between the FTIR spectra of unused and cleaned by brushing wooden shelves as compared with that of non‐cleaned wooden surface [ 16 ] but they did not elaborate further on the compare algorithm used. Some web‐based articles in AZoMaterials featured the application of FTIR for batch‐to‐batch testing in the food and drink industry, [ 17 ] in particular of alcohol, olive oil, milk powder, and meat products.…”

Section: Introductionmentioning

confidence: 99%

Fourier transform infrared (FTIR) authentication and batch‐to‐batch consistency for different types of paints using benchtop and handheld FTIR spectrophotometers for oil and gas industry

Salim

Rashid

Halim

et al. 2021

Polymer Engineering & Sci

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Standardization of Fourier transform infrared (FTIR) fingerprint region for paints and assessment on the reproducibility using different spectrophotometers were investigated. While selective fingerprint regions may be confusing for technicians/analysts who are non‐chemists, we attempt to generalize these regions (e.g., 1300–1000 cm−1 for Epoxy part A and 1400–1000 cm−1 for Epoxy part B) by choosing a universal region (2000–900 cm−1) that works for different paints. Comparison result using a paired student t‐test shows that the degree of similarity (r) values from the studied regions are not statistically different. The paint fails the screening analysis occasionally on‐site when analyzed using handheld FTIR due to the higher level of noise that gives low r values (r < 0.900 ± 0.002). The same samples were analyzed using a benchtop FTIR and the r values are above 0.900 ± 0.002. While the screening may lead to a false rejection of the sample on‐site, there could be occurrence of false acceptance. The on‐site screening of EPZ part A with different formulations, for instance, shows that the r values over the entire IR spectrum are above 0.900 ± 0.002 when analyzed using handheld FTIR. After the samples were analyzed using the benchtop, the r values fall below 0.900 ± 0.002.

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Rapid and non-destructive approach for the detection of fried mustard oil adulteration in pure mustard oil via ATR-FTIR spectroscopy-chemometrics

Cited by 38 publications

References 33 publications

Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics

Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics

Monitoring of frying process in canola oil blend using fourier transform infrared and chemometrics techniques

Fourier transform infrared (FTIR) authentication and batch‐to‐batch consistency for different types of paints using benchtop and handheld FTIR spectrophotometers for oil and gas industry

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