Araştırma Makalesi

Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI)

Cilt: 32 Sayı: 4 13 Temmuz 2026
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Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI)

Öz

The accumulation of pesticide residues in aquatic environments poses significant environmental risks to ecosystem integrity and human health. This study systematically reviewed 77 peer-reviewed studies (2008-2025) on natural and waste-based adsorbents used for pesticide removal from water and conducted a comprehensive evaluation based on green chemistry principles. Adsorbent types, target pesticide groups, and removal methods were classified and statistically analyzed. A novel Green Suitability Index (GSI) was developed to quantitatively assess the environmental compatibility of adsorbents. The index is based on four main criteria: raw material renewability, process chemical minimalism, post-use waste and environmental risk, and energy-carbon reduction, producing a composite score on a 0-12 scale, where higher scores indicate stronger alignment with green chemistry principles. The findings revealed that agricultural waste-based adsorbents were the most studied group and achieved the highest environmental suitability (mean GSI = 11/12, SD = 2.75; ≈92%), followed by plant-derived natural adsorbents (mean GSI=9/12, SD = 2.25; ≈75%). In contrast, nano/modified adsorbents showed the lowest green compatibility (mean GSI = 4/12, SD = 1.00; ≈33%) due to higher synthesis energy demands and reagent use. Organophosphate pesticides were the most frequently targeted contaminants. Overall, the results demonstrate that natural and waste-based adsorbents combine high removal efficiency with superior green chemistry compliance, offering sustainable and low-impact alternatives for pesticide pollution control and eco-friendly water treatment applications.

Anahtar Kelimeler

Kaynakça

  1. [1] Ahmad T, Rafatullah M, Ghazali A, Sulaiman O, Hashim R, Ahmad A. "Removal of pesticides from water and wastewater by different adsorbents: A review". Journal of Environmental Science and Health Part C: Environmental Carcinogenesis and Ecotoxicology Reviews, 28(4), 231-271, 2010.
  2. [2] Ho S. "Low-cost adsorbents for the removal of phenol/phenolics, pesticides, and dyes from wastewater systems: A review". Water, 14(20), 3203, 2022.
  3. [3] Tony MA. "Low-cost adsorbents for environmental pollution control: A concise systematic review from the perspective of principles, mechanisms and their applications". Journal of Dispersion Science and Technology, 43(11), 1612-1633, 2022.
  4. [4] Kyzas GZ, Kostoglou M. "Green adsorbents for wastewaters: A critical review". Materials, 7(1), 333-364, 2014.
  5. [5] Tran VS, Ngo HH, Guo W, Zhang J, Liang S, Ton-That C, Zhang X. "Typical low-cost biosorbents for adsorptive removal of specific organic pollutants from water". Bioresource Technology, 182, 353-363, 2015.
  6. [6] Alsherbeny S, Jamil TS, El-Sawi SAM, Eissa FI. "Low-cost corn cob biochar for pesticides removal from water". Egyptian Journal of Chemistry, 65(2), 639-650, 2022.
  7. [7] Bergamasco R, Bergamasco VB, Vieira AMS, Vieira MF, Vieira MF, Fagundes-Klen MR, Vieira MGA. "Adsorption of atrazine from synthetic contaminated water using a packed-bed column with a low-cost adsorbent (Moringa oleifera Lam.)". Water, 15(7), 1260, 2023.
  8. [8] Bartczak P, Norman M, Klapiszewski Ł, Karwańska N, Kawalec M, Borysiak S, Wysokowski M, Jesionowski T. "Saw-sedge Cladium mariscus as a functional low-cost adsorbent for effective removal of 2,4-dichlorophenoxyacetic acid from aqueous systems". Adsorption, 22(4-6), 517-529, 2016.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Katı ve Tehlikeli Atıklar

Bölüm

Araştırma Makalesi

Yazarlar

Erken Görünüm Tarihi

31 Ekim 2025

Yayımlanma Tarihi

13 Temmuz 2026

Gönderilme Tarihi

9 Ağustos 2025

Kabul Tarihi

27 Ekim 2025

Yayımlandığı Sayı

Yıl 2026 Cilt: 32 Sayı: 4

Kaynak Göster

APA
Özer, Ç. (2026). Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI). Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 32(4), 796-811. https://doi.org/10.65206/pajes.06800
AMA
1.Özer Ç. Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI). Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2026;32(4):796-811. doi:10.65206/pajes.06800
Chicago
Özer, Çiğdem. 2026. “Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI)”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 32 (4): 796-811. https://doi.org/10.65206/pajes.06800.
EndNote
Özer Ç (01 Temmuz 2026) Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI). Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 32 4 796–811.
IEEE
[1]Ç. Özer, “Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI)”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 32, sy 4, ss. 796–811, Tem. 2026, doi: 10.65206/pajes.06800.
ISNAD
Özer, Çiğdem. “Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI)”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 32/4 (01 Temmuz 2026): 796-811. https://doi.org/10.65206/pajes.06800.
JAMA
1.Özer Ç. Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI). Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2026;32:796–811.
MLA
Özer, Çiğdem. “Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI)”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 32, sy 4, Temmuz 2026, ss. 796-11, doi:10.65206/pajes.06800.
Vancouver
1.Çiğdem Özer. Statistical analysis of pesticide removal by natural and waste-based adsorbents: a novel method for quantitative and green suitability assessment (GSI). Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 01 Temmuz 2026;32(4):796-811. doi:10.65206/pajes.06800