IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i21p15592-d1273599.html
   My bibliography  Save this article

Influence of Cotton Bleaching Methods on the Parameters of Generated Textile Industrial Wastewater

Author

Listed:
  • Şule Sultan Uğur

    (Textile Engineering Department, Engineering Faculty, Süleyman Demirel University, 32260 Isparta, Turkey)

  • Mustafa Karaboyacı

    (Chemical Engineering Department, Engineering Faculty, Süleyman Demirel University, 32260 Isparta, Turkey)

  • Joanna Boguniewicz-Zablocka

    (Thermal Engineering and Industrial Facilities Department, Mechanical Engineering Faculty, Opole University of Technology, 45-271 Opole, Poland)

Abstract

The environmental impact of industrial wastewater after bleaching requires special attention to prevent the pollution of aquatic ecosystems. The aim of this study was to compare the effluent parameters obtained after using a traditional bleaching method and an alternative enzymatic bleaching method in order to assess their possible environmental impacts. In the classical bleaching method, NaOH and H 2 O 2 were used, and in the alternative method, pectinase enzyme, H 2 O 2, and sodium carbonate were used as the bleaching agents. The bleaching process was designed by determining the optimum amount of pectinase enzyme, the optimum temperature, and the optimum amount of peroxide. The whiteness of the treated cotton yarns was also evaluated. The different bleaching processes were analyzed and evaluated in terms of the wastewater discharged, the pH, chemical oxygen demand (COD), total dissolved solids (TDS), total suspended solids (TSS), and conductivity. These data show that the use of the pectinase enzyme allows us to obtain much lower COD and TSS values compared to those obtained using traditional bleaching. At the same time, the use of the proposed enzymatic bleaching method reduces the environmental impact since lower concentrations of pollutants are obtained in the effluent. Therefore, the pretreatment of wastewater may require the selection of a simpler and more environmentally friendly technology, such as enzymatic bleaching.

Suggested Citation

  • Şule Sultan Uğur & Mustafa Karaboyacı & Joanna Boguniewicz-Zablocka, 2023. "Influence of Cotton Bleaching Methods on the Parameters of Generated Textile Industrial Wastewater," Sustainability, MDPI, vol. 15(21), pages 1-10, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15592-:d:1273599
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/21/15592/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/21/15592/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15592-:d:1273599. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.