2021
DOI: 10.1007/s00340-021-07639-0
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Quantitative prediction of a functional ingredient in apple using Raman spectroscopy and multivariate calibration analysis

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Cited by 9 publications
(3 citation statements)
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“…In these studies, the concentration of procyanidin was monitored using high-performance liquid chromatography, which is not a cost- or time-effective approach. Recently, apple procyanidin was monitored using Raman spectroscopy and multivariate calibration analysis [ 62 ]. Although this study detected procyanidin with non-destructed apple, procyanidin in apple juice was not measured.…”
Section: Resultsmentioning
confidence: 99%
“…In these studies, the concentration of procyanidin was monitored using high-performance liquid chromatography, which is not a cost- or time-effective approach. Recently, apple procyanidin was monitored using Raman spectroscopy and multivariate calibration analysis [ 62 ]. Although this study detected procyanidin with non-destructed apple, procyanidin in apple juice was not measured.…”
Section: Resultsmentioning
confidence: 99%
“…It can also be observed that after dispersing 0.03 g/L concentration of CNT nanofluid in MO, bands at 1156 cm −1 , 1375 cm −1 , and 1599 cm −1 are also missing compared to MO and MO with 0.02 g/L CNT concentration. The band at 1156 cm −1 is attributed to in-phase (C-C) stretching vibrations of the polyene chain [22], while bands at 1375 cm −1 and 1599 cm −1 attributes to the (H-C-C/O) bending mode and (C=C) aromatic stretching mode, which describes the characteristic of diamond and graphite. If higher concentrations of amorphous carbon are present, those two peaks can be observed respectively [23].…”
Section: Multiple Peak Fitting Analysismentioning
confidence: 99%
“…These techniques for the interpretation of spectral data are largely based on the development of regression models, also known as multivariate calibration 11–15 . Previously, our group reported the quantitative prediction of procyanidins in apples using Raman spectroscopy with multivariate calibration analysis 16 . In this prior work, partial least‐squares (PLS) regression, a type of chemometric method, was combined with Raman spectroscopy to statistically extract information from spectral data with multivariate information while eliminating interference related to autofluorescence and extraneous peaks.…”
Section: Introductionmentioning
confidence: 99%