Simple and rapid determination of free fatty acids in brown rice by FTIR spectroscopy in conjunction with a second-derivative treatment

Genkawa, Takuma; Ahamed, Tofael; Noguchi, Ryozo; Takigawa, Tomohiro; Ozaki, Yukihiro

doi:10.1016/j.foodchem.2015.02.014

Cited by 23 publications

(12 citation statements)

References 14 publications

(31 reference statements)

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“…Hence, it is often necessary to preprocess data to minimize the influence of physical effects and enhance the chemical information contribution in model establishment [37,38]. In the literature, we can find many successful examples of quantitative and qualitative analysis of various samples measured with different techniques by derivative spectrometry [39,40,41,42,43,44]. Derivation spectroscopy can eliminate baseline drifts, enhance the resolution and remove the overlap [45,46].…”

Section: Methodsmentioning

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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Section: Methodsmentioning

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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“…Figure 5 shows the FT-IR/ATR absorption spectra of the samples under study. Different transitions of the vibrational modes can be observed in the fingerprint region between 1800 and 625 cm -1 (5.55-16 μm) where carbohydrates, proteins, and fats generally show their characteristic bands [22][23][24][25]. The results indicate that vibrational spectra of the different rice cultivars are quite similar along all spectrum, except the interval 1200-900 cm -1 , where differences in intensity among samples are noticed (Figure 6).…”

Section: Ft-ir Spectra Of Rice Floursmentioning

confidence: 93%

Quantum Cascade Laser Photoacoustic Spectroscopy Applied to Rice Flour Analysis

Puiu

Fiorani

Giubileo

et al. 2021

Food Science and Engineering

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In the present work we applied laser photoacoustic spectroscopy (LPAS) to the analysis of food samples. In particular, we analyzed samples of different rice flours (standard and commercial ones). For this purpose, a laboratory system based on quantum cascade laser (QCL) has been developed and characterized. After that, the LPAS spectra of all the rice samples were collected with a standard error of less than 2% of the measured value and a background signal negligible compared to the sample signals. All the experimental LPAS spectra resulted to be rich in spectral features showing clear differences between each other. The experimental spectra were then analyzed by comparison with the FT-IR transition frequency recorded in our laboratory to consent a proper assignment. Finally, to put in evidence the small differences among the various rice types, the Principal Component Analysis (PCA) was applied to the recorded LPAS spectra highlighting five different groups corresponding to the five types of samples. In conclusion, the present work demonstrated the discriminating capability of LPAS technique in the case of different types of rice flour samples.

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“…Considering the average size of bacteria, that oscillates from 0.7 to 2 µm, the very first layer of attached bacteria can be analyzed by ATR technique [26][27][28]. The infrared spectra exhibited typical bands corresponding to carboxyl, amide, ester, phosphate, and carbohydrate moieties [38][39][40][41][42][43][44][45][46][47][48] (Table 1).…”

Section: Atr-ftir Spectra Of Se and Pf Bacteriamentioning

confidence: 99%

“…ATR-FTIR spectroscopy has proven to be a useful analytical tool for monitoring biofilms in situ, being non-destructive, in real-time and under fully hydrated conditions technique [11,19,[25][26][27][28][29]. Boualam et al [30] showed that ATR-FTIR technique permitted to differentiate biofilms as a function of water samples containing variable quantities of biodegradable organic matter.…”

Section: Introductionmentioning

confidence: 99%

“…Pseudomonas fluorescens (PF) and Staphylococcus epidermidis (SE) bacteria were chosen as a model because of their inclination to be surface bound in diverse environmental conditions. In particular, PF, a Gram-negative bacterium, was chosen as the reference Gram-negative bacterium for the following reasons: (i) It is present in drinking water distribution networks [31], (ii) can be grown in low-nutrient situations [32], (iii) is used in a standard procedure for measurement of assimilable organic carbon in water [32], and (iv) has been widely used in model bacterial surface colonization studies [2,15,26,33]. SE, a Gram-positive bacterium, was picked because: (i) It is an opportunistic agent possessing an intrinsic pathogenic character [34], (ii) is part of the normal mucosa and skin microflora, and (iii) is the causative agent in numerous invasive and toxigenic diseases [34].…”

Section: Introductionmentioning

confidence: 99%

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Non-Destructive Monitoring of P. fluorescens and S. epidermidis Biofilm under Different Media by Fourier Transform Infrared Spectroscopy and Other Corroborative Techniques

et al. 2020

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In the present study, the early stage of bacteria biofilm formation has been studied as a function of different nutrients. Infrared spectra of Pseudomonas fluorescens (PF) and Staphylococcus epidermidis (SE), on germanium ATR crystal, were collected under deionized water H2O, phosphate buffered solution (PBS) and PBS with glucose (PBS-G). In H2O, protein bands of PF increased while, no difference in PBS and PBS-G were observed until 135 min. SE strain showed a low sensitivity to PBS composition starting to expose proteins on surfaces after 120 min. SE shows a low polysaccharides increase in H2O while, in bare and enriched PBS their intensity increases after 120 and 75 min. in PBS and PBS-G respectively. PF exhibits a peculiar behavior in H2O where the saccharide bands increased strongly after 100 min, while under all the other conditions, the intensity of polysaccharide bands increased up to the plateau probably because the layer of the biofilm exceeded the penetration capability of FTIR technique. All data suggest that, under lack of nutrients, both the bacteria tend to firmly anchor themselves to the support using proteins.

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Simple and rapid determination of free fatty acids in brown rice by FTIR spectroscopy in conjunction with a second-derivative treatment

Cited by 23 publications

References 14 publications

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

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

Quantum Cascade Laser Photoacoustic Spectroscopy Applied to Rice Flour Analysis

Non-Destructive Monitoring of P. fluorescens and S. epidermidis Biofilm under Different Media by Fourier Transform Infrared Spectroscopy and Other Corroborative Techniques

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