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    Waste Management Bulletin

    Waste Management Bulletin

    JournalISSN 2949-7507eISSN 2949-7507

    年发文量

    研究主题

    论文(407)

    排序
    1Alpaca Fiber Spinning Industry Wastewater Treatment Using Papaya
    Diego Alvarez-Ticona, Raúl Mendoza-Pary, Sebastian Azurin-Figueroa, Ornella Heredia-Rondon, Eduardo Florez-Martinez,Ruly Terán-Hilares, Rosario Benegas-Llanos,Gilberto Colina-Andrade

    This study evaluated the coagulant potential of Carica papaya seeds for the treatment of textile effluents, assessing the removal of turbidity, total suspended solids (TSS), and chemical oxygen demand (COD), and comparing with current Peruvian legislation, a 2 5–1 fractional factorial design was implemented to evaluate the effect of pH, coagulant dose (D), rapid mixing time (t RM ), slow mixing time (t SM ), and sedimentation time (t S ) on turbidity removal. Subsequently, a central composite design (CCD) was used to optimize the relevant process variables, identifying an optimum pH 5 and t SM 23.5 min. Under these conditions, removal efficiencies of 70.12 ± 0.70% for turbidity, 67.55 ± 1.08%, for COD and 70.80 ± 1.57% for TSS were achieved. Scanning electron microscopy (SEM) and Fourier Transform Infrared (FTIR) spectroscopy revealed morphological changes and shifts in the surface functional groups of the Carica papaya seed coagulant before and after the coagulation process.

    2026
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    2Cytotoxicity of Leachate and Solubilized Extracts from Aluminum- and Iron-based Water Treatment Plant Sludge
    Julia Villalta da Silva,Amanda Maria Dantas de Jesus, Ayodeji Jabar Adebisi, Magda Hirsch de Carvalho, Adriane Xavier de Morais, Renata Falcehte do Prado,Fabiana Alves Fiore
    2026
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    3Alpaca Fiber Spinning Industry Wastewater Treatment Using Papaya (carica Papaya) Seeds As a Natural Coagulant
    Diego Alvarez-Ticona, Raúl Mendoza-Pary, Sebastian Azurin-Figueroa, Ornella Heredia-Rondon, Eduardo Florez-Martinez,Ruly Terán-Hilares, Rosario Benegas-Llanos,Gilberto Colina-Andrade

    This study evaluated the coagulant potential of Carica papaya seeds for the treatment of textile effluents, assessing the removal of turbidity, total suspended solids (TSS), and chemical oxygen demand (COD), and comparing with current Peruvian legislation, a 25–1 fractional factorial design was implemented to evaluate the effect of pH, coagulant dose (D), rapid mixing time (tRM), slow mixing time (tSM), and sedimentation time (tS) on turbidity removal. Subsequently, a central composite design (CCD) was used to optimize the relevant process variables, identifying an optimum pH 5 and tSM 23.5 min. Under these conditions, removal efficiencies of 70.12 ± 0.70% for turbidity, 67.55 ± 1.08%, for COD and 70.80 ± 1.57% for TSS were achieved. Scanning electron microscopy (SEM) and Fourier Transform Infrared (FTIR) spectroscopy revealed morphological changes and shifts in the surface functional groups of the Carica papaya seed coagulant before and after the coagulation process.

    2026
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    4Hydrogel-encapsulated Microalgal Biomass Residues for Vegetable Cultivation in Soil and Hydroponics
    Muhammad Zubair Mohsin, Tian Li,Ragnheiður Þórarinsdóttir,Sigurður Brynjólfsson,Runar Unnthorsson, Bing Wu
    2026
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    5Organic Amendments and Soil Moisture Regulation Enhance Physiological Resilience and Barley Yield in Coastal Saline Agroecosystems of Bangladesh
    Shimul Mondal,Md. Shihab Uddine Khan,Apurbo Kumar Chaki,Md. Faruque Hossain, Mohammad Mamunur Rashid Sarker,Taslima Zahan,Kawsar Uddin Ahammad, Md. Kamrul Islam,Mustafa Kamal Shahadat,Shilpi Das, Jagadish Chandra Barman,Mohammad Zahirul Alam Talukder,

    Soil salinity and seasonal water scarcity constrain barley production in coastal agroecosystems, yet their interactive effects on soil conditions, plant physiological responses, and yield remain insufficiently resolved. This study evaluated four irrigation regimes (0, 50, 75, and 100% field capacity) and four nutrient-management strategies (FRG-2018, IPNS + biochar, IPNS + vermicompost, and IPNS + biochar + vermicompost) for their effects on soil properties, physiological responses, and grain yield of barley (Hordeum vulgare L.) across two consecutive growing seasons in coastal Bangladesh. Treatment responses were evaluated using analysis of variance, multivariate analyses, Random Forest-SHAP, structural equation modelling (SEM), and the multi-trait genotype–ideotype distance index (MGIDI). Irrigation strongly affected grain yield (P < 0.001), while amendment treatment (P = 0.032) and its interaction with irrigation (P = 0.002) further modified yield responses. The combination of 75% field capacity and IPNS + biochar produced the highest grain yield, whereas 75% field capacity with IPNS + vermicompost exhibited the most favorable multi-trait performance. Yield variation was associated with soil moisture, reduced electrical conductivity, enhanced K/Na balance, greater chlorophyll accumulation, lower oxidative stress, and yield-related traits. Machine-learning analysis identified spike length, thousand-grain weight, grains spike−1, and plant height as major predictors of grain yield, while physiological variables including moisture, electrical conductivity, chlorophyll, MDA, and POD also contributed to prediction. SEM supported an interconnected soil moisture-ionic balance-physiological status-yield pathway, although these relationships represent statistical associations rather than definitive causal effects. Overall, the findings indicate that combining moderate deficit irrigation with organic amendment can improve barley productivity under the tested coastal saline conditions.

    2026
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    高被引作者

    作者引用发文
    Amruta Koli1532
    Akshata Pattanshetti1532
    Kalyanrao Garadkar1531
    Rohant Dhabbe1531
    Shubhangi Mane-Gavade1531
    Sandip Sabale1532
    Prem Prakash Srivastav1152
    Sangeetha Karunanithi1131
    Rakesh Kumar Gupta1131
    Ojima Z. Wada852

    高产作者

    作者引用发文
    Milton Halder107
    Sonia Nasrin85
    Ahmed Jalal Uddin14
    Ruly Terán Hilares14
    Bankole I. Oladapo803
    I Wayan Koko Suryawan63
    Neha Dhiman23
    Ahmad Hazim Abdul Aziz83
    Emmanuel Okezie43
    Mahbub Ul Islam23

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