Two‐Dimensional Near‐Infrared Correlation Spectroscopy

Ozaki, Yukihiro

doi:10.1002/9783527612666.ch08

Cited by 6 publications

(3 citation statements)

References 56 publications

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“…356-357;Š ašić & Ozaki, 2000). In the same manner, the samples with RP values equal to 8% are placed at negative PC1 score values, and negative PC1 loading values can be found in the spectral regions centered at 1070 nm, corresponding to the N-H bond first overtone (proteins) and in the spectral region falling in the 1420-1520 nm, which includes the first overtone of O-H and N-H bonds, ascribable to the presence of bound water and proteins (Ozaki, 2002). For a proper evaluation of these outcomes it must be recalled that the spectra were acquired in reflectance mode: increasing reflectance values correspond to decreasing absorbance values, thus to decreasing concentrations of the chemical species absorbing in the relevant spectral bands.…”

Section: Asca Of Average Spectra Datasetmentioning

confidence: 90%

Evaluation of the effect of factors related to preparation and composition of grated Parmigiano Reggiano cheese using NIR hyperspectral imaging

et al. 2022

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The present study is focused on the evaluation of the effect of grater type and fat content of the pulp on the spectral response obtained by near infrared hyperspectral imaging (NIR-HSI), when this technique is used to determine the rind percentage in Parmigiano Reggiano (P-R) cheese.To this aim, grated P-R cheese samples were prepared considering all the possible combinations between three levels of rind amount (8%, 18% and 28%), two levels of fat content of the pulp and two different grater types, and the corresponding hyperspectral images were acquired in the 900-1700 nm spectral range. In a first step, the average spectrum (AS) was calculated from each hyperspectral image, and the corresponding dataset was analysed by means of Analysis of Variance Simultaneous Component Analysis (ASCA) to assess the effect of the three considered factors and their two-way interactions on the spectral response. Then, the hyperspectral images were converted into Common Space Hyperspectrograms (CSH), which are signals obtained by merging in sequence the frequency distribution curves of quantities calculated from a Principal Component Analysis (PCA) model common to the whole hyperspectral image dataset. ASCA was also applied to the CSH dataset, in order to evaluate the effect of the considered factors on this kind of signals.Generally, all the three factors resulted to have a significant effect, but with a different extent according to the method used to analyse the hyperspectral images. Indeed, while fat content of the pulp and rind percentage showed a comparable effect on the spectral response of AS dataset, in the case of CSH signals rind percentage had a greater effect compared to the other main factors. However, CSH were also more sensitive to differences ascribable to the natural variability between diverse Parmigiano Reggiano cheese samples.

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Section: Asca Of Average Spectra Datasetmentioning

confidence: 90%

Evaluation of the effect of factors related to preparation and composition of grated Parmigiano Reggiano cheese using NIR hyperspectral imaging

et al. 2022

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“…The second derivative spectra make possible baseline correction and separation of overlapping peaks. These spectra are supposed to emphasize changes in every sample 20 ; in so doing, however, upward‐convex peaks are observed as downward convex. Enlarged peak portions are shown in Figure 4.…”

Section: Experimental Samples and Measurement Of Furfural Content And...mentioning

confidence: 99%

Development of portable deterioration diagnosis device for oil filled transformers based on near‐infrared spectroscopic information

Oshima,

Suehara,

Fushimi

et al. 2024

Elect Comm in Japan

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A transformer plays a key role in electric power distribution system; therefore, when the transformer fails, several electrical components may get affected. As a result, diagnosing the deterioration of transformers is important for the management of electric power distribution system. The furfural content in the insulating oil of a transformer is widely used as an indicator of deterioration because furfural is generated by the decomposition of insulating paper. However, analyzing the furfural content is time consuming because of the requirement of a professional and the complexity of the diagnosis process. In this study, we propose a novel method for analyzing the amount of furfural in the insulating oil based on near‐infrared spectroscopic data obtained using the developed portable spectrometer, which can be used for the on‐site analysis at transformer installation sites. We selected wavenumbers with high correlation coefficients between the furfural content of oil and the spectroscopic data and estimated the furfural content by partial least squares regression. The results suggest that the furfural content can be analyzed in a few minutes using a small amount of oil through a portable diagnostic device.

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“…10 -22,25,26 The introduction of generalized 2D correlation spectroscopy in 1993 opened up an even wider area of application for 2D IR spectroscopy. 5,9,10 Any reasonable series of IR spectra can now be used to generate synchronous and asynchronous 2D correlation spectra. Generalized 2D IR correlation spectroscopy has almost no restrictions to the type of sample data, instrumentation and external perturbations that can be used.…”

Section: Ir Spectroscopymentioning

confidence: 99%

2 D Correlation Spectroscopy in Vibrational Spectroscopy

Ozaki¹

2001

Handbook of Vibrational Spectroscopy

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The sections in this article are Introduction IR Spectroscopy NIR Spectroscopy R aman Spectroscopy 2 D Hetero‐Spectral Correlation External Perturbation Applications of 2 D Mid‐ IR Spectroscopy Polymers Semicrystalline Polymers Immiscible Polymer Blends Dynamic IR Linear Dichroism and 2 D Correlation Spectroscopy of Poly(ɛ‐Caprolactone) Liquid Crystals Chemical Reactions Proteins Applications of 2 D NIR Spectroscopy Polymers Temperature‐Dependent Structural Variations of an Amorphous Polyamide Studied by 2 D NIR Spectroscopy Applications of 2 D Correlation Spectroscopy in Depth‐Profiling Photoacoustic Spectroscopy and NIR Dynamic Rheo‐Optics – Study of a Polymeric Laminate Film A 2 D NIR Correlation Spectroscopy Study on Composition‐Dependent Spectral Variations in Ethylene/Vinyl Acetate Copolymers Proteins Applications of 2 D R aman Spectroscopy Polymers Proteins Hetero‐Spectral Correlation Analysis 2 D R aman‐ NIR Hetero‐Spectral Correlation Analysis of the Specific Interactions in Partially Miscible Blends of Poly(Methyl Methacrylate) and Poly(4‐Vinylphenol) Conformational Changes of Ribonuclease a Upon Thermal Unfolding Studied by 2 D Mid‐ IR , NIR and IR ‐ NIR Hetero‐Spectral Correlation Spectroscopy

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Two‐Dimensional Near‐Infrared Correlation Spectroscopy

Cited by 6 publications

References 56 publications

Evaluation of the effect of factors related to preparation and composition of grated Parmigiano Reggiano cheese using NIR hyperspectral imaging

Evaluation of the effect of factors related to preparation and composition of grated Parmigiano Reggiano cheese using NIR hyperspectral imaging

Development of portable deterioration diagnosis device for oil filled transformers based on near‐infrared spectroscopic information

2 D Correlation Spectroscopy in Vibrational Spectroscopy

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