A feasibility study on quantitative analysis of glucose and fructose in lotus root powder by FT-NIR spectroscopy and chemometrics

Niu, Xiaoying; Zhao, Zhijun; Jia, Kejun; Li, Xiaoting

doi:10.1016/j.foodchem.2012.01.064

Cited by 58 publications

(24 citation statements)

References 19 publications

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“…Higher RPD values imply a better calibration model for an accurate prediction (Roggo et al ., ; Jamrógiewicz, ). The SECV and RPD values have been used to evaluate goodness of fit (Niu et al ., ; Pissard et al ., ; Wang et al ., ). Our results indicate that measuring curcuminoids in turmeric powder by combined multivariate NIRS analysis is suitable for an analytical screening tool.…”

Section: Resultsmentioning

confidence: 98%

Near‐infrared Reflectance Spectroscopy as a Rapid and Non‐destructive Analysis Tool for Curcuminoids in Turmeric

Kim

Lee

Shin

et al. 2014

Phytochemical Analysis

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Section: Resultsmentioning

confidence: 98%

Near‐infrared Reflectance Spectroscopy as a Rapid and Non‐destructive Analysis Tool for Curcuminoids in Turmeric

Kim

Lee

Shin

et al. 2014

Phytochemical Analysis

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“…The latent variables required were considerably reduced. The biPLS 34 model had the best performance with RMSECV ¼ 2.68, RMSEP ¼ 2.73, and RPD ¼ 5.01; when, the spectral set was divided into 34 intervals and the interval numbers 1,2,3,5,6,9,10,13,18,19,26, and 30 were used ( Table 4). The selected intervals included the region from 3500 to 3400/cm (intervals 5 and 6), which belongs to the ROO group.…”

Section: Bipls Modelmentioning

confidence: 99%

“…Interval partial least-squares (iPLS), proposed by Nørgaard et al for interval selection, represents an approach for local regression modeling of spectral data [17]. Some extended algorithms of iPLS, such as forward iPLS (fiPLS) and backward iPLS (biPLS), have been developed and successfully applied [18][19][20]. However, iPLS, fiPLS, and biPLS have not been used in the determination of IV in fats and oils using FTIR data.…”

Section: Introductionmentioning

confidence: 99%

Iodine value determination of edible oils using ATR‐FTIR and chemometric methods

Meng

Nie

et al. 2017

Euro J Lipid Sci & Tech

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Iodine value (IV) was determined using Fourier transform mid infrared spectroscopy with attenuated total reflection and chemometric methods. A set of 245 oil samples were used for calibration purposes, and 76 samples were used for validation purposes. Models developed using full spectra partial least square (PLS), interval PLS (iPLS), forward interval PLS (fiPLS), and backward interval PLS (biPLS) algorithms were compared in terms of performance. Root‐mean‐square error of leave‐one‐out cross‐validation (RMSECV) of 2.68 and root‐mean‐square errors of prediction (RMSEP) of 2.73 were obtained using biPLS algorithm with spectra divided into 34 intervals and combinations of eight intervals (4000–3700, 3600–3400, 3200–3000, 2800–2700, 2300–2100, 1700–1600, 1500–1400, and 1100–1000/cm). This model had a correlation coefficient of 0.9885. In addition, sub‐models based on one oil type had higher performances (RMSECV = 0.24–0.76, RMSEP = 0.29–1.25) than the model based on all oil samples, which suggests that the IV model is oil‐type dependent. However, PLS could compensate for this error provided the calibration set covered enough oil types. The proposed method allowed a rapid determination of IV. Practical applications: IV determination is important for edible oils and oleochemicals. However, traditional wet chemical methods require toxic solvents and reagents. FTIR coupled with multivariate analysis can be used to measure IV. Most of the studies on IV determination using FTIR have focused on specific single oil types without interval selection. A general IV model that incorporates several oil types is expected to improve prediction performances. Therefore, the present method represents a rapid and accurate tool for measuring IV of edible fats and oils. An ATR‐FTIR method combined with interval optimization is described to determine the iodine value in edible oil. The RMSECV for the prediction of IV from isolated wavelength intervals are compared with full‐spectrum PLS model in GA. The result showed that interval optimization is effective in term of improved prediction performance of IV.

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“…It was proposed that this method provides the basis for a superior detection system in terms of se nsitivity, selectivity and non-destruction to analyze the glucose [11,12]. For the environment field, NIR spectra with partial least squares (PLS) method were applied for the determination of element content of the environment, the calibration models were developed using 31 reference data with the help hierarchical cluster analysis, indicating the good prediction capabilities of the method in the domain of environment [13], In the clinic diagnosis, NIR spectra predicted coincided exactly with the histology diagnosis for all the samples.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Kinetics of Curing Reaction for the Resin Matrix Polymer Composite Based on Near-Infrared Spectroscopy

Jiang

Huang

et al. 2015

Applied Spectroscopy Reviews

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Because of near-infrared spectroscopy is a very rapid and non-destructive method for the simultaneous measurement on different constituents in the resin matrix polymer composite. This strategy has been applied in the synthesis of the resin matrix polymer composites. In this paper, we mainly review the control of curing reaction kinetics of the phenolic, epoxy resin, polyester resin, polyurethane, and other polymer resin based of NIR spectra, which is important to control the quality of the resin matrix polymer composites in the synthesis.

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A feasibility study on quantitative analysis of glucose and fructose in lotus root powder by FT-NIR spectroscopy and chemometrics

Cited by 58 publications

References 19 publications

Near‐infrared Reflectance Spectroscopy as a Rapid and Non‐destructive Analysis Tool for Curcuminoids in Turmeric

Near‐infrared Reflectance Spectroscopy as a Rapid and Non‐destructive Analysis Tool for Curcuminoids in Turmeric

Iodine value determination of edible oils using ATR‐FTIR and chemometric methods

Investigation of the Kinetics of Curing Reaction for the Resin Matrix Polymer Composite Based on Near-Infrared Spectroscopy

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