A rapid ATR-FTIR spectroscopic method for classification of gelatin gummy candies in relation to the gelatin source

Çebi, Nur; Doğan, Canan Ekinci; Meşe, Ayten Ekin; Özdemir, Durmuş; Arıcı, Muhammet; Sağdıç, Osman

doi:10.1016/j.foodchem.2018.10.125

Cited by 71 publications

(36 citation statements)

References 34 publications

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“…The C–O stretch in the phenol and monoterpenoid compounds is seen at 1,200 to 1,100 cm −1 . The bands at the 1,100 to 1,000 cm −1 can be attributed to the ether bond of C‐O‐C in the monoterpenoids (Cebi et al., 2019).…”

Section: Resultsmentioning

confidence: 99%

“…The C-O stretch in the phenol and monoterpenoid compounds is seen F I G U R E 1 Shear stress and viscosity of the gelatin-pectin solution and gelatin-pectin solutions incorporated with essential oil from Oliveria decumbens (ODEO), Trachyspermum ammi (TAEO), Thymus kotschyanus (TKEO), and Zataria multiflora (ZMEO) F I G U R E 2 FTIR spectrum of gelatinpectin and gelatin-pectin solutions incorporated with Oliveria (ODEO), Thymus (TKEO), Trachyspermum (TAEO), and Zataria (ZMEO) essential oil at 1,200 to 1,100 cm −1 . The bands at the 1,100 to 1,000 cm −1 can be attributed to the ether bond of C-O-C in the monoterpenoids (Cebi et al, 2019).…”

Section: Physico-chemical Properties Of Gelatin-pectinessential Oilmentioning

confidence: 99%

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In vitro antioxidant and antidiabetic activity of essential oils encapsulated in gelatin‐pectin particles against sugar, lipid and protein oxidation and amylase and glucosidase activity

Siahbalaei

Kavoosi

Shakeri

2020

Food Science & Nutrition

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Section: Resultsmentioning

confidence: 99%

Section: Physico-chemical Properties Of Gelatin-pectinessential Oilmentioning

confidence: 99%

In vitro antioxidant and antidiabetic activity of essential oils encapsulated in gelatin‐pectin particles against sugar, lipid and protein oxidation and amylase and glucosidase activity

Siahbalaei

Kavoosi

Shakeri

2020

Food Science & Nutrition

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“…Attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) is widely used in Chinese herbal medicine analysis because it is reliable, rapid, low-cost, nondestructive and allows simultaneous analysis or characterization of various components [28,29]. Chemometric methods, also known as multivariate statistical methods, can highlight the spectral differences between similar samples, model the systematic variance of the data and present it in a simpler way [30,31]. Although chemometric methods combined with ATR-FTIR have been widely applied to classify various food and agricultural products, its use combined with random forest (RF), support vector machine (SVM) and partial least squares discriminant analysis (PLS-DA) chemometric methods in the study of how to classify Lingzhi species is a new challenge.…”

Section: Introductionmentioning

confidence: 99%

Attenuated Total Reflection-Fourier Transform Infrared Spectroscopy (ATR-FTIR) Combined with Chemometrics Methods for the Classification of Lingzhi Species

Wang

Liu

et al. 2019

Molecules

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Due to the existence of Lingzhi adulteration, there is a growing demand for species classification of medicinal mushrooms by various techniques. The objective of this study was to explore a rapid and reliable way to distinguish between different Lingzhi species and compare the influence of data pretreatment methods on the recognition results. To this end, 120 fresh fruiting bodies of Lingzhi were collected, and all of them were analyzed by attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR). Random forest (RF), support vector machine (SVM) and partial least squares discriminant analysis (PLS-DA) classification models were established for raw and pretreated second derivative (SD) spectral matrices to authenticate different Lingzhi species. The results of multivariate statistical analysis indicated that the SD preprocessing method displayed a higher classification ability, which may be attributed to the analysis of powder samples that requires removal of overlapping peaks and baseline shifts. Compared with RF, the results of the SVM and PLS-DA methods were more satisfying, and their accuracies for the test set were both 100%. Among SVM and PLS-DA, the training set and test set accuracy of PLS-DA were both 100%. In conclusion, ATR-FTIR spectroscopy data pretreated by SD combined with PLS-DA is a simple, rapid, non-destructive and relatively inexpensive method to discriminate between mushroom species and provide a good reference to quality assessment.

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“…Multifactorial statistical analysis methods related to FTIR have been widely used for identifying changes in lipids, proteins, nucleic acids, and carbohydrates, such as principal component analysis (PCA) [15][16][17] and partial least squares (PLS) [18,19] combined with discriminant analysis (DA), hierarchical cluster analysis (HCA) [20,21], support vector machines (SVMs) [22,23] and random forest (RF) [24]. Smith et al [25] used the supervised machine learning algorithm of RF as a classifier to separate patients into cancer and noncancer categories based upon the intensities of wavenumbers presented in their spectra and finally achieved a sensitivity and specificity up to 92.8% and 91.5%, respectively.…”

Section: Spectroscopy Including Ftir Raman and Terahertz Are Valuablmentioning

confidence: 99%

Grade Diagnosis of Human Glioma Based on Fingerprint and Artificial Neural Network

Peng

Chen

Kong

et al. 2021

Preprint

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BackgroundThe World Health Organization (WHO) grade diagnosis of cancer is essential for surgical outcomes and patient treatment. Traditional pathological grading diagnosis depends on dyes or other histological approaches, which are time-consuming (usually 1-2 days), resource-wasting, and labor-intensive. Fourier transform infrared (FTIR) spectroscopy is a rapid and nondestructive technique that has been widely used for detecting the molecular component changes, which relies on the resonant frequencies absorbance of the molecular bonds.MethodsTo overcome the disadvantages of traditional pathological diagnosis, this paper proposed a novel diagnostic method based on FTIR and artificial neural network (ANN). Firstly, the spectra of high- and low-grade human glioma that without dye were collected by FTIR spectrometer, then the raw data preprocessed with baseline correction and amide I (1649 cm-1) normalization before input into the input-layer of the ANN, after the nonlinear conversion of the neurons in the hidden-layers, the categories were presented in the output-layer. Corresponding to the decrease of the loss function, the weights of the net updated continuously, and finally, the optimized model has the power of prediction for new samples. ResultsAfter training on 6225 spectra sourced from 77 glioma patients, the ANN model reached the prediction accuracy, specificity and sensitivity evaluation metrics above 99%, which was much superior to the common classification method of principal component analysis-linear discriminate analysis (PCA-LDA) (the prediction accuracy, specificity and sensitivity are only 87%, 89% and 86%, respectively). Moreover, rather than the lipid range of 2800-3000 cm-1, the ANN learned the fingerprint characteristics of the infrared spectrum to classify the major histopathologic classes of human glioma. Especially, the diagnosis process of the novel method only requires several minutes. Compared to the traditional pathological diagnosis, the efficiency raises almost 500 times.ConclusionsThe infrared range of fingerprint is the major indicator for cancer progression, and the ANN-based diagnosis method can be streamlined, and create a complementary pathway that is independent of the traditional pathology laboratory.

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A rapid ATR-FTIR spectroscopic method for classification of gelatin gummy candies in relation to the gelatin source

Cited by 71 publications

References 34 publications

In vitro antioxidant and antidiabetic activity of essential oils encapsulated in gelatin‐pectin particles against sugar, lipid and protein oxidation and amylase and glucosidase activity

In vitro antioxidant and antidiabetic activity of essential oils encapsulated in gelatin‐pectin particles against sugar, lipid and protein oxidation and amylase and glucosidase activity

Attenuated Total Reflection-Fourier Transform Infrared Spectroscopy (ATR-FTIR) Combined with Chemometrics Methods for the Classification of Lingzhi Species

Grade Diagnosis of Human Glioma Based on Fingerprint and Artificial Neural Network

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A rapid ATR-FTIR spectroscopic method for classification of gelatin gummy candies in relation to the gelatin source

Cited by 71 publications

References 34 publications

In vitro antioxidant and antidiabetic activity of essential oils encapsulated in gelatin‐pectin particles against sugar, lipid and protein oxidation and amylase and glucosidase activity

In vitro antioxidant and antidiabetic activity of essential oils encapsulated in gelatin‐pectin particles against sugar, lipid and protein oxidation and amylase and glucosidase activity

Attenuated Total Reflection-Fourier Transform Infrared Spectroscopy (ATR-FTIR) Combined with Chemometrics Methods for the Classification of Lingzhi Species

Grade Diagnosis&nbsp;of Human Glioma Based on Fingerprint&nbsp;and Artificial Neural Network

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Grade Diagnosis of Human Glioma Based on Fingerprint and Artificial Neural Network