Determination of sucrose in date fruits (Phoenix dactylifera L.) growing in the Sultanate of Oman by NIR spectroscopy and multivariate calibration

Mabood, Fazal; Al‐Harrasi, Ahmed; Boqué, Ricard; Jabeen, Farah; Hussain, Javid; Hafidh, Almahrouqi; Hind, K.; Ahmed, Manzor; Jaspal, Muhammad Hayat; Hussain, Hidayat; Rehman, Najeeb Ur; Iman, Syahrul; Said, Jahina J.; Hamood, Sara A.

doi:10.1016/j.saa.2015.05.040

Cited by 18 publications

(8 citation statements)

References 23 publications

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“…Date palm is the main crop in Oman, and its production reached 3,08,000 tons in 2014 from 2,81,000 tons in 2013, according to the latest data released by the Ministry of Agriculture and Fisheries, Oman [1,2]. This would deliver a large amount of residue, mainly their pits, which comprise almost 10-15wt% of the total, and this huge amount of residue becomes an environmental problem, while the best solution for this is to produce biofuels and chemicals with that residue [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of synthesized green carbon catalyst from waste date pits for tertiary butylation of phenol

Jamil

Al-Muhtaseb

Naushad

et al. 2020

Arabian Journal of Chemistry

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The present study intended to adopt a facile method for preparing a sulphonated green carbon catalyst from date pits biomass. Catalyst synthesis involves in-situ carbonization and sulphonation and it has been characterized by following techniques such as XRD, SEM, EDX, TEM, FTIR, TGA, and BET. Surface and internal morphology results exhibited that the synthesized sulphonated carbon material possesses a mesoporous structure, while activated carbon possesses a microporous structure. Furthermore, the Fourier transform infrared (FTIR) spectra confirmed the presence of acidic groups (-OH, -COOH, and -SO 3 H) in synthesized sulphonated carbon material. Sulphonated carbon material exhibited high acidity (4.7mmol/g) and good thermal stability. The application of this catalyst for the tertiary butylation of phenol without using any solvent has been investigated. The phenol alkylation reaction showed maximum conversion at reaction condition; temperature (140°C) with 2bar (nitrogen gas) pressure with maximum phenol conversion 79.27wt%, with 68.01% selectivity towards 4TBP+2,4TBP, which is used as an intermediate in antioxidants. The catalyst exhibits comparable catalytic performance up to five reaction cycles. Thus it can be concluded that waste date pits can be successfully employed for green catalyst synthesis and used for reactions involving large molecules.

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Section: Introductionmentioning

confidence: 99%

Evaluation of synthesized green carbon catalyst from waste date pits for tertiary butylation of phenol

Jamil

Al-Muhtaseb

Naushad

et al. 2020

Arabian Journal of Chemistry

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“…The PLS algorithm makes use of full spectrum data and the results acquired from colourimetric analysis for model building. Previously, PLS models have shown good quantitative results . The PLS models developed on the basis of NIR preprocessed spectroscopic data yielded the values R 2 = 0.9312, r 2 = 0.9393, RMSECV = 0.082 g GAAC/100 g and RMSEP = 0.085 g GAAC/100 g. The bias in calibration and prediction models were 3.837 and 0.001, respectively, with a computed RPD value of 2.82 (Table ).…”

Section: Resultsmentioning

confidence: 99%

“…Previously, PLS models have shown good quantitative results. [22][23][24][25] The PLS models developed on the basis of NIR preprocessed spectroscopic data yielded the values R 2 = 0.9312, r 2 = 0.9393, RMSECV = 0.082 g GAAC/100 g and RMSEP = 0.085 g GAAC/100 g. The bias in calibration and prediction models were 3.837 and 0.001, respectively, with a computed RPD value of 2.82 ( Table 5). The bias in the devel- 26,27 The GA-PLS algorithm was run 10 times with crossover rate, genetic iteration and mutation probabilities of 0.5, 100 and 0.01, respectively, 28 to achieve lowest RMSECV (0.058 g GAAC/100 g) value ( Table 5).…”

Section: Comparison Of Different Calibration and Prediction Modelsmentioning

confidence: 98%

Total polyphenol quantitation using integrated NIR and MIR spectroscopy: A case study of Chinese dates (Ziziphus jujuba)

Arslan

Zhang

Tahir

et al. 2019

Phytochemical Analysis

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Introduction Polyphenols are the foremost measure of phytochemicals in Chinese dates due to their many potential health benefits such as averting cancers, reducing the risk of coronary artery disease, diuretic activity, myocardial stimulant, coronary dilator and muscle relaxant. Objective To quantitate the polyphenols in Chinese dates using a data fusion approach with near‐infrared (NIR) and mid‐infrared (MIR) spectroscopy. Material and Methods A total of 80 Chinese dates samples were used for data acquisition from both NIR and MIR spectroscopy. The efficient spectral intervals were extracted by the synergy interval partial least square (Si‐PLS) algorithm as input variables for NIR‐MIR fusion model. A genetic algorithm (GA) was used to construct the model based on NIR‐MIR fusion. The performance of the developed models was evaluated using correlation coefficients of calibration (R2) and prediction (r2), root mean square error of prediction (RMSEP), bias and residual prediction deviation (RPD). Results The data fusion model based on the GA was superior compared to NIR and MIR build model. The optimal GA‐fusion model yielded R2 = 0.9621, r2 = 0.9451, RPD = 2.44, calibration set bias = 0.004 and prediction set bias = 0.061, computing only 15 variables. Conclusion These findings reveal that integration of NIR and MIR is possible for the prediction of total polyphenol content in Chinese dates.

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“…PLSR is a predictive technique used for the prediction of an analyte in unknown sample when predictor variables are highly correlated and the number of predictors exceeds the number of cases. For PLS, increasing the number of relevant variables and observations improves the precision of the model parameters (Mabood et al ., ; Al‐Harrasi et al ., ).…”

Section: Resultsmentioning

confidence: 99%

Quantification of AKBA in Boswellia sacra Using NIRS Coupled with PLSR as an Alternative Method and Cross‐Validation by HPLC

Rehman

Ali

Al‐Harrasi

et al. 2017

Phytochemical Analysis

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Determination of sucrose in date fruits (Phoenix dactylifera L.) growing in the Sultanate of Oman by NIR spectroscopy and multivariate calibration

Cited by 18 publications

References 23 publications

Evaluation of synthesized green carbon catalyst from waste date pits for tertiary butylation of phenol

Evaluation of synthesized green carbon catalyst from waste date pits for tertiary butylation of phenol

Total polyphenol quantitation using integrated NIR and MIR spectroscopy: A case study of Chinese dates (Ziziphus jujuba)

Quantification of AKBA in Boswellia sacra Using NIRS Coupled with PLSR as an Alternative Method and Cross‐Validation by HPLC

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