Journals / Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2025 / Cilt: 27 Sayı: 1

The investigation of optimization parameters of sodium borate solution treated with different surfactants

Çeşitli yüzey aktif maddelerin ilavesi ile sodyum borat çözeltisinin optimizasyon parametrelerinin incelenmesi

Gülşah Çelik Gül(BALIKESİR ÜNİVERSİTESİ)0000-0001-7213-1657
Pages
145–153
Publication Date
2025-01-20
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Antimicrobial test results were employed to validate the impact of surfactants on the sodium solution.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the Taguchi method was applied to determine the optimal conditions in the process of changing the antimicrobial activities of sodium borate solution through the addition of commercial surfactants such as cosmocol, NP7, loradac, and tianol 40.
📊
Key Findings & Data:The type and ratio of surfactants were used as parameters in an orthogonal array design to reduce the number of experiments during the optimization process.
💡
Conclusion & Impact:Antimicrobial test results were employed to validate the impact of surfactants on the sodium solution.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Sodyum borat çözeltisi · yüzey aktif madde · optimizasyon

Abstract

In this study, the Taguchi method was applied to determine the optimal conditions in the process of changing the antimicrobial activities of sodium borate solution through the addition of commercial surfactants such as cosmocol, NP7, loradac, and tianol 40. The type and ratio of surfactants were used as parameters in an orthogonal array design to reduce the number of experiments during the optimization process. Antimicrobial test results were employed to validate the impact of surfactants on the sodium solution.

Özet

Bu çalışmada, Taguchi yöntemi uygulanarak sodyum borat çözeltisinin cosmocol, NP7, loradac ve tianol 40 gibi ticari yüzey aktif maddelerin ilavesi ile antimikrobiyal aktivitelerinin değişimi prosesinde en uygun şartların belirlenmesi amaçlanmıştır. Yüzey aktif türü ve oranı, deneylerin sayısını azaltmak için ortogonal dizi şeklinde uygulanmış optimizasyon sürecinde paramatreler olarak kullanılmıştır. Antimikrobiyal test sonuçları yüzey aktiflerin sodyum çözeltisi üzerine olan etkisini doğrulamak için kullanılmıştır.

🔖

Cite This Article

Gül, G. Ç., *, G. Ç. G. (2025). The investigation of optimization parameters of sodium borate solution treated with different surfactants. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 27 Sayı: 1, 145–153. https://doi.org/10.25092/baunfbed.1424760

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (18)

  1. Novak, M. ve Taylor, W.J. J., Amer. Pharm. Assoc., 1951, 11, 428-429
  2. Yılmaz, M. T., Minimum inhibitory and minimum bactericidal concentrations of boron compounds against several bacterial strains, Turk J Med Sci, 42, 2: 1423-1429, (2012).
  3. Tsuyumoto, I., Oshio, T. ve Katayama, K., Preparation of highly concentrated aqueous solution of sodium borate Inorganic Chemistry Communications 10, 20-22 (2007).
  4. Ingri, N., Equilibrium studies of the polyanions containing BIII, SiIV, GeIV and Vv., Svensk Kem. Tidskr, 75, 199-230, (1963).
  5. Borokhov, O. ve Schubert, D. (2007). Antimicrobial Properties of Boron Derivatives. In New Biocides Development, American Chemical Society, 967, 412–435, (2007).
  6. Fei N.C., Mehat N.M. ve Kamaruddin S., Practical applications of Taguchi method for optimization of processing parameters for plastic injection moulding: a retrospective review, ISRN Industrial Engineering, 2013:46217, (2013).
  7. Dowlatshahi S., An application of design of experiments for optimization of plastic injection molding processes, Journal of Manufacturing Technology Management, 15, 445–54, (2004).
  8. Farkas K., Hossmann, T., Plattner B. ve Ruf L., NWC: node weight computation in MANETs. 16th International Conference on Computer Communications and Networks, 1059, 64, (2007).
  9. Rao R.S., Kumar, C.G., Prakasham R.S. ve Hobbs, P.J., The Taguchi methodology as a statistical tool for biotechnological applications: a critical appraisal. Biotechnology Journal, 3, 510, 23, (2008).
  10. Singh, H. ve Kumar, P., Optimizing cutting force for turned parts by Taguchi’s parameter design approach. The Indian Journal of Engineering and Materials Sciences, 12, 97–103, (2005).
  11. Kamaruddin, S., Khan Z.A. ve Foong, S.H., Application of Taguchi method in the optimization of injection moulding parameters for manufacturing products from plastic blend, IACSIT International Journal of Engineering and Technology, 2, 574, 80, (2010).
  12. Mohan, N.S., Ramachandra, A. ve Kulkarni, S.M., Influence of process parameters on cutting force and torque during drilling of glass-fiber polyester reinforced composites. Composite Structures, 71, 407, 13, (2005).
  13. Ariffin, M., Sapuan, S.M. ve Ismail, N., An optimise drilling process for an aircraft composite structure using design of experiments. Scientific Research and Essays, 1109, 16, (2009).
  14. Shim, H.J. ve Kim, J.K., Cause of failure and optimization of V-belt pulley considering fatigue life uncertainty in automotive applications. Engineering Failure Analysis, 16, 1955, 63, (2009).
  15. Mahfouz, A.S., Hassan, A. ve Arisha, A., Practical simulation application: evaluation of process control parameters in Twisted-Pair Cables manufacturing system. Simulation Modelling Practice and Theory, 18, 471, 82, (2010).
  16. Akbas, H. Ve Kartal, Ç., Yüzey aktif maddelerin yapıları, fonksiyonel özellikleri ve çevreye etkileri XVI. Ulusal Kimya Kongresi, Konya, FK-P11, (2002).
  17. Roy, R., A primer on the Taguchi Method, Van Nostrand Reinhold, New York. 7,10, 40-55, (1990).
  18. Asl, M.S., Golmohammadi, F., Kakroudi, M.G. ve Shokouhimehr, M., Synergetic effects of SiC and Csf in ZrB2-based ceramic composites. Part I:Densification behavior, Ceramics International, 42, 4498–4506, (2016).