KINETIC ANALYSIS OF OXIDATION OF Α-Hydroxy ACIDS BY CARO’S ACID IN MICELLAR MEDIUM

Rajkumar, P.; Buvaneswari, N; Vaheith, Z. Abdul; Ahamed, A. Fiaz; Saraswathy, G.; Dayanandhan, R.

doi:10.31788/rjc.2021.1426225

Cited by 2 publications

(2 citation statements)

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“…The FTIR results for benzyl alcohol and benzoic acid are shown in Figure 2b. Based on the benzyl alcohol FTIR spectral analysis, it shows that there is no strong absorption around 1700 cm -1 which indicates there is no carbonyl group, 24 this is the characteristic of the conversion of benzaldehyde to benzyl alcohol. Strong absorption was found at around 3404 cm -1 indicating the presence of the -OH hydroxyl group.…”

Section: Results and Discussion Cannizzaro Reaction Using Ultrasonica...mentioning

confidence: 99%

Green Metrics Evaluation on The Cannizzaro Reaction of p-Anisaldehyde and Benzaldehyde Under Solvent-Free Conditions

Firdaus,

Firdausi,

Rahmana

et al. 2023

Valensi

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In the pursuit of environmentally responsible chemical processes, we conducted a thorough assessment of the green metrics associated with the Cannizzaro reaction using p-anisaldehyde and benzaldehyde under solvent-free conditions. This research elaborates the application of two different methods i.e., reflux and ultrasonication, applying potassium hydroxide (KOH) as the reagent. The progress of the Cannizzaro reaction was methodically followed via thin-layer chromatography (TLC), and the resulting products were characterized using various techniques, including melting point analysis, Fourier-transform infrared spectroscopy (FTIR), and gas chromatography-mass spectrometry (GC/MS). To measure the environmental impact and sustainability of these reactions, a multifaceted approach was used. Green metrics were evaluated by the state-of-the-art Environmental Assessment Tool for Organic Syntheses (EATOS) software, combined with the Andraos algorithm. Moreover, energy consumption calculations were evaluated. Reasonable analysis of the green metrics results was undertaken in the framework of prevailing literature, permitting to measure the level of eco-friendliness attained. Experimental findings revealed optimal conditions for the Cannizzaro reaction concerning p-anisaldehyde at a temperature of 50 °C for 90 minutes, resulting in remarkable of p-anisyl alcohol and p-anisic acid in 95.16% and 95.04% yields, respectively. Likewise, the reaction involving benzaldehyde reached its peak performance at 50 °C for 2 hours, giving benzyl alcohol and benzoic acid in 96.17% and 97.22% yields, respectively. Overall, the green metrics assessment and energy consumption calculations reliably confirmed that the solvent-free Cannizzaro reaction, when performed via ultrasonication, offers a reasonably greener and more energy-efficient method than the traditional ones. This research highlights the importance of sustainable chemical synthesis practices and their potential to reduce the environmental footprint of chemical processes.

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Section: Results and Discussion Cannizzaro Reaction Using Ultrasonica...mentioning

confidence: 99%

Green Metrics Evaluation on The Cannizzaro Reaction of p-Anisaldehyde and Benzaldehyde Under Solvent-Free Conditions

Firdaus,

Firdausi,

Rahmana

et al. 2023

Valensi

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“…Even in little amounts, many of these phenylic acids are cancer-causing agents 3 . There is ample evidence of the poisonous and dangerous properties of phenylic acids and their derivatives [4][5][6] . Wastewater from the varnish, denatured alcohol, petrochemical, coal conversion, pharma, plastic, iron-steel, paperand-pulp, and pulp and paper industries typically contains phenolic acidic compounds.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Prediction of Optimal Phenylic acid Adsorption using Lantana camara Activated Carbon

Senthilkumar

2023

Orient. J. Chem

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This paper exemplifies the application of artiﬁcial neural network (ANN) for prediction of performances in adsorption of phenylic acid from waste water by conventional and low cost Lantana camara activated carbon as adsorbent material. To estimate the removal efficiencies of phenylic acid, a three-layer feed-forward neural network using a back propagation algorithm was utilised in the MATLAB environment. The initial concentrations (mg/L) of phenylic acid, amount (g/L) of adsorbent and pH are the input parameters utilised to train the neural network. The output of the neural network was taken to be the effectiveness of phenylic acid removal. Statistical measures like root mean square error and linear regression were also used to evaluate the effectiveness of the proposed ANN models. Based on the comparison of the removal efficiencies of contaminants using ANN models and empirical results, ANN modelling for the adsorption of phenolic compounds was found to be reasonably consistent with the empirical results.

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KINETIC ANALYSIS OF OXIDATION OF Α-Hydroxy ACIDS BY CARO’S ACID IN MICELLAR MEDIUM

Cited by 2 publications

References 0 publications

Green Metrics Evaluation on The Cannizzaro Reaction of p-Anisaldehyde and Benzaldehyde Under Solvent-Free Conditions

Green Metrics Evaluation on The Cannizzaro Reaction of p-Anisaldehyde and Benzaldehyde Under Solvent-Free Conditions

Artificial Neural Network Prediction of Optimal Phenylic acid Adsorption using Lantana camara Activated Carbon

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