Adsorption Data Analysis| How to Fit/Apply Dubinin-Radushkevich (D-R) Isotherm to Your Research Data

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  • Опубликовано: 1 дек 2024

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  • @kaleemnoor76
    @kaleemnoor76 10 месяцев назад +1

    Masha Allah very nicee❤❤mathod sir❤❤

  • @Amna.Official4754
    @Amna.Official4754 10 месяцев назад +1

    Good information🎉

  • @JHKanus
    @JHKanus 5 месяцев назад

    how can I like this video more than once? Well done bro

    • @drsaqibscienceacademy
      @drsaqibscienceacademy  3 месяца назад

      Thank you so much! I wish you could like the video more than once too! Your support means a lot, and I'm really glad you enjoyed the content. If you want to show extra support, sharing the video or leaving a comment can help others discover it as well. Thanks again, bro!

  • @Amna.Official4754
    @Amna.Official4754 10 месяцев назад +1

    Very nice🎉

  • @subhashchander7933
    @subhashchander7933 Месяц назад +1

    sir according to calculation E is in J/mol

  • @MrsaqibYt-cr7
    @MrsaqibYt-cr7 10 месяцев назад +1

    Good

  • @subhashchander7933
    @subhashchander7933 Месяц назад +1

    sir E is in J/mol according to calculation but you report it to KJ/mol? How

  • @melikeisgoren
    @melikeisgoren 10 месяцев назад +1

    hi, thank you for your sharing here. But the calculated qm value seems so different then the experimental when convert 0,00059 mol/g to mg/g? How can we evaluate the calculated qm value?

    • @drsaqibscienceacademy
      @drsaqibscienceacademy  10 месяцев назад +1

      Thanks for the comment, when comparing the calculated qm value in the D-R (Dubinin-Radushkevich) isotherm model to experimental data, discrepancies can arise, To evaluate the calculated qm value, consider the following steps:
      Consider Model Assumptions which means understand the limitations and assumptions of the D-R model. It assumes uniform energetics of adsorption and a homogeneous surface, which may not hold true in all cases.
      Evaluate Isotherm Fit i.e., assess the goodness of fit of the D-R model to the experimental data. A poor fit may indicate discrepancies between the model and the actual adsorption behavior.
      Explore Alternative Models which means If the D-R model does not provide a satisfactory explanation, consider other adsorption isotherm models that may better describe the experimental data.
      Moreover discrepancies may appear as this data gives best fit for langmuir isotherm model but for teaching purposes the same data was fitted in all models. Hope it helped Regards

    • @melikeisgoren
      @melikeisgoren 10 месяцев назад +1

      Thank you for your rapid response and for giving a very efficient explanation@@drsaqibscienceacademy with best regards.

    • @drsaqibscienceacademy
      @drsaqibscienceacademy  10 месяцев назад

      My pleasure dear

  • @tayyabanaveed7310
    @tayyabanaveed7310 5 месяцев назад

    hello sir! is it good to be that much high value of energy? in my calculations, i got the value around 1400, but in the literature for chemisorption it would be in between 8 to 16 KJ/mol.

    • @drsaqibscienceacademy
      @drsaqibscienceacademy  3 месяца назад

      Thanks for the comment. I agree that a value of energy around 1400 kJ/mol in the Dubinin-Radushkevich (D-R) model is unusually high and not typical for chemisorption, where the energy is generally in the range of 8 to 16 kJ/mol. Such a high value suggests that there might be an error in the calculations, data interpretation, or assumptions made during the analysis.
      It's important to revisit your calculations, ensure the correct units and constants were used, and verify that the data aligns with the expected range for the type of adsorption process being studied. If everything checks out, it might be worth considering if the system you're studying involves a different type of interaction than what is typically seen in chemisorption