Pretreatment Technologies Research Articles

Transforming Lignocellulosic Biomass into Biofuels: Recent Innovations in Pretreatment and Bioconversion Techniques

Abstract: This scholarly review investigates contemporary advancements in the conversion of lignocellulosic biomass to biofuels, emphasizing innovative pretreatment and bioconversion technologies that aim to surmount the intrinsic challenges associated with the processing of this complex biomass. Lignocellulosic materials, which are predominantly comprised of cellulose, hemicellulose, and lignin, represent a renewable and plentiful source for biofuel production; however, their structural complexity necessitates sophisticated methodologies for the effective degradation of resistant components. The review scrutinizes a variety of pretreatment methodologies, encompassing physical, chemical, and burgeoning techniques such as plasma-assisted processing, which are engineered to augment cellulose accessibility for enzymatic hydrolysis. Additionally, it elucidates the progress made in bioconversion processes, concentrating on enzymatic hydrolysis, microbial fermentation, and consolidated bioprocessing (CBP), wherein recent endeavors in genetic engineering are refining microbial strains to enhance yield and efficiency. By addressing economic, technological, and environmental challenges, this article emphasizes the role of integrated biorefineries and innovative biotechnologies in facilitating scalable and cost-effective production of lignocellulosic biofuels. Prospective research trajectories include the formulation of sustainable pretreatment techniques and the advancement of synthetic biology to fully harness the potential of lignocellulosic biomass as a renewable energy resource. Ultimately, this review accentuates the significance of lignocellulosic biofuels as a feasible alternative to fossil fuels, thereby contributing to energy sustainability and climate change mitigation through diminished carbon emissions

Corn biomass as a feedstock for biorefinery: a bibliometric analysis of research on bioenergy, biofuel and value‐added products

AbstractLimited research has been dedicated to exploring the potential reuse and creation of value‐added products from corn stover. Existing gaps in current research underscore the need for waste biorefineries that adhere to the principles of a circular bioeconomy to maximize the value of corn stover. This review uses bibliometric analysis from the past decade to examine the potential and pathways for converting corn stover into energy and value‐added products within the biorefinery framework. The data were processed using the Web of Science® database and analyzed with the VosViewer® bibliometric software's, Bibliometrix package in R and Gephi, generating keyword‐based maps. A total of 2557 experimental articles and 30 reviews on corn stover research were analyzed. The bibliometric study revealed that the primary research focuses on pretreatment technologies for converting corn stover into value‐added products, bioenergy and biofuels. The main technologies employed include acid, alkaline and enzymatic hydrolysis, as well as torrefaction anaerobic digestion and steam explosion. The pretreatment processes yield sugars, xylooligosaccharides and organic acids. Additionally, the studies explored the use of corn stover biochar for soil remediation and adsorption processes. This review aims to enhance the understanding of technological pathways explored in previous research, contributing to the evaluation of sustainable processes for utilizing corn stover byproducts. Ultimately, it promotes environmentally conscious agroindustry practices that align with circular economy principles and sustainable development.

Environmental impact assessment in microalgal lipid production: carbon footprint and net emissions

This study focuses on analyzing the role of microalgae in mitigating climate change through CO2 capture and lipid production, which can be used in the development of energy products and commercially relevant products. The objective was to evaluate the net CO2 emissions in three lipid production scenarios from microalgae, in addition to analyzing the impact of various biomass pretreatment technologies before lipid extraction. For this purpose, only the emissions directly generated by energy consumption in the process and the amount of CO2 that can be captured by microalgae cultivation were considered. In all three scenarios, CO2 capture during biomass cultivation and emissions associated with maintaining the process in operation were evaluated. The results show that the emissions generated by energy consumption were 3.56 kg-CO2/kg-oil, 2.19 kg-CO2/kg-oil, and 2.36 kg-CO2/kg-oil in scenarios 1, 2, and 3, respectively, while the CO2 emissions captured in microalgae cultivation were three to four times higher, ultimately resulting in negative emissions in all scenarios. The efficiency of CO2 capture per kilogram of oil produced varies between scenarios, suggesting that the choice of technology and process conditions significantly influence the overall environmental impact. This analysis identifies areas of opportunity to improve microalgal biomass utilization processes, highlighting the stages of the process with the greatest impact on the carbon footprint and enabling the comparison of different technologies on the same basis.

Sustainable approach for landfill leachate treatment through dielectric barrier discharge/ferrate (DBD/Fe(VI)) enhanced nanofiltration

Landfill leachate, with its high concentrations of persistent organic pollutants, salts, heavy metals, and emerging contaminants, presents significant environmental challenges. This study investigated the combination of dielectric barrier discharge (DBD) and ferrate (Fe(VI)) pretreatment technology in landfill leachate treatment, focusing on its effectiveness in enhancing oxidation performance and mitigating membrane fouling. The results indicated that after DBD/Fe(VI) treatment, TOC and UV254 removal efficiencies increased by 44 % and 67 %, respectively. Additionally, the DBD/Fe(VI) system excelled in removing fluorescent substances and high molecular weight organic compounds, thereby reducing the formation of the cake layer on the nanofiltration membrane. This system enhanced oxidation performance through the synergistic production of reactive intermediates, with Fe(V)/Fe(IV) and •OH being the main active species, O2•-, and 1O2 also contributing significantly. The degradation pathway of perfluorooctanoic acid was investigated by utilizing it as the representative pollutant. Compared to the raw landfill leachate system, the DBD/Fe(VI) increased membrane flux by 104 %, while reducing reversible and irreversible fouling resistances by 67 % and 75 %, respectively. Furthermore, the advantages and practical application potential of the DBD/Fe(VI) system were evaluated from energy consumption, economic cost, and carbon dioxide emissions. The study offers an innovative method for landfill leachate treatment and fouling mitigation.

Effect of Pre-Treatment, Treatment, and Extraction Technologies on the Bioactive Substances of Coriander

Herbs and spices, with their wealth of bioactive compounds, are widely used in food, medicine, and cosmetics. Among them, coriander (Coriandrum sativum L.) is particularly valued for its medicinal and culinary properties. Growing consumer and industrial interest in natural products has led to the development of modern, environmentally friendly extraction techniques designed to improve the yield and quality of extracts while reducing time, energy, and solvent consumption. These processes make it possible to obtain optimal quantities of active compounds, thereby meeting the growing demand for plant-based products. After showing evidence of coriander’s health benefits, this review summarizes research findings on the impact of some treatments and pretreatments on its phytochemical composition. After that, it summarizes different aspects of the use of conventional and non-conventional extraction techniques for coriander’s bioactive constituents, mainly polyphenols and crude and essential oils (EO). Among these methods, microwave-assisted extraction (MAE/MAHD) emerges as one of the most efficient methods, offering higher yields, better-quality extracts, and a significant reduction in energy costs.

B-267 Validation of the Newly Developed Fully Automated Chemiluminescent Enzyme Immunoassay (CLEIA) Reagent for Measurement of Cyclosporine in the Blood

Abstract Background Cyclosporine (CsA) is an immunosuppressive drug requiring therapeutic drug monitoring (TDM) for its narrow-ranged medication level. Approximately 60% of CsA in the blood exist as molecular complexes with proteins like cyclophilin in lymphocytes and erythrocytes. Measurement of CsA in the blood by immunoassay or liquid chromatography-tandem mass spectrometry (LC-MS/MS) requires an extraction process for CsA from the whole blood specimen, which is often manual complicated and time-consuming process causing a risk of variation in the measurement values among different operators. In addition, the small (cyclic polypeptide composed of 11 amino acids) and hydrophobic property of CsA, make it difficult to establish antibodies for a sandwich immunoassay. In this study, we have validated a novel fully automated sandwich immunoassay reagent for measurement of blood CsA that used a combination of newly-established CsA antibodies and iTACT® (immunoassay for total antigen including complex via pretreatment) technology. Methods The reagent was developed and validated on a fully automated immunoassay system, LUMIPULSE® L2400 (FUJIREBIO INC). Twenty uL whole blood specimens are sampled after mixed with suction/discharge stirring to prevent that blood cells settle to the bottom of a container on the analyzer, and then treated with a pretreatment solution to obtain free CsA. The treated samples are assayed by a two-step sandwich immunoassay. Limit of Detection (LoD), Limit of Quantitation (LoQ), within-laboratory precision, linearity, no interference, and the correlation of this assay and LC-MS/MS were validated, following the current CLSI guidelines protocols. Data were analyzed using Microsoft Excel statistical tool Analyse-it. Results The LoD and the LoQ were 2.7 ng/mL and 10.8 ng/mL respectively. The within-laboratory precision showed CV 1.6-2.9 %. Linearity was demonstrated over the range 13.1-2381.5 ng/mL. No interference was observed with unconjugated (≤19.7 mg/dL) or conjugated bilirubin (≤20.1 mg/dL), chyle (≤1480 FTU), RF (rheumatoid factor, ≤1000 IU/mL), and HAMA (human anti-mouse antibody, ≤1010 ng/mL). The correlation coefficient and the regression slope of this assay and LC-MS/MS were 1.0 and 1.0, respectively (N=120). Conclusions The performance of our novel CsA assay, which use LUMIPULSE L2400, was satisfactory for routine analysis. A unique fully-automated process, including the pretreatment process of whole blood specimens, for measurement would contribute the low LoQ and the low Within-laboratory CV. In addition, the results are obtained in 35-minute. We expect this novel immunoassay could reduce the burden on operators and turnaround time.

Novel ternary deep eutectic solvents pretreatment of corn stalk to realize high-value utilization

The high-valued utilization of biomass components through pretreatment technology can effectively alleviate the pressure of energy and environment. In this study, a ternary deep eutectic solvent (TDES) was prepared by using glycolic acid (GA) and ethylene glycol (EG) as double hydrogen donors and benzyl trimethyl ammonium chloride (TMBAC) as hydrogen acceptor. The corn stalk was separated by TDES to obtain cellulose-rich solid residue and low-condensed lignin. Moreover, the solid residue was converted into bio-oil by rapid pyrolysis, and the low-condensed lignin was converted into fluorescent lignin by grafting luminol for information encryption. The results showed that under the pretreatment condition of 150℃ for 3 h, TDES with the molar ratio of 1:1:2 had a lignin removal ratio of 90.60 %, and the yield of levoglucosan obtained from solid residue pyrolysis bio-oil reached 36.38 %. Furthermore, TDES prevented lignin from forming a C-C polycondensation structure and endowed it with polyhydroxy properties, which was beneficial to graft luminolto enhance the fluorescence intensity efficiently. The high-intensity fluorescent grafted lignin was used for information encryption of various materials. The mechanism of TDES pretreatment and luminol grafting were explored, and the mass balance of corn stalk during pretreatment was described. This study provides a green, environmentally friendly, and efficient pretreatment process for the high-value utilization of biomass.

Alcohol pretreatment for depolymerization and fractionation of corn stalk

The development of an efficient pretreatment technology to depolymerize and fractionate lignocellulose into glucan, xylan, and lignin is crucial for lignocellulose biorefinery. In this study, alcohol pretreatments using methanol and pentanol were developed and compared. Based on the solubility of the two alcohols, the methanol and pentanol pretreatments are homogeneous and biphasic, respectively. Carbon flow analysis revealed that 1kg of corn stalk (CS) yielded 111.9g of lignin with the homogeneous pretreatment (lignin yield: 60.0 %), while 149.8g of lignin was obtained with the biphasic pretreatment (lignin yield: 80.3 %). Biphasic pretreatment yielded the lignin with higher activity (more β-O-4 bond content). Additionally, 210.4g and 267.0g of glucose were obtained from the enzymatic hydrolysis of homogeneously and biphasically pretreated CS, respectively, where glucose yields were 53.0 % and 67.2 %, respectively. Fourier Transform infrared spectroscopy and X-ray diffraction were employed to verify the component fractionation results. The Hansen solubility parameter and combined severity factor analysis were used to evaluate the effects of various factors on component fractionation. Nuclear magnetic resonance and mechanistic analyses were performed to explore the process of component fractionation. Overall, we discovered that biphasic pretreatment was significantly better than homogeneous pretreatment in component fractionation, including component recovery and lignin activity.

Ultrasonic Enhancement for Mineral Flotation: Technology, Device, and Engineering Applications

In the past five years, the number of articles related to ultrasonic mineral flotation has increased by about 50 per year, and the overall trend is on the rise. The most recent developments in ultrasonics for flotation process intensification are reviewed herein, including effects of ultrasound treatment on an aqueous slurry, improvement in flotation methods and technological processes, device development tracking, and application effects in mineral process engineering. At this point in time, there are pilot-scale flotation tests to evaluate the feasibility of ultrasonic pretreatment technology for industrial use to enhance residue flotation separation, and the results showed that the recovery rate of concentrate is increased by about 10%. Four aspects of ultrasonic flotation process improvement are summarized, namely, changing the ultrasonic parameters, the synergistic effect of ultrasound and reagents, the ultrasonic effect of particles with different-sized fractions, and application to new systems. In addition, the effect of ultrasonic flotation mechanisms is explored through a quadratic model and numerical simulation. The combination of ultrasonic flotation with other fields, such as magnetic fields, to enhance the separation efficiency and recovery of minerals is also a future trend. It is also proposed that ultrasonic flotation technology will be used with big data, industrial Internet of Things, and automatic control technology to achieve deep bundling, optimizing the flotation process by implementing remote monitoring and control of the flotation process.

Experimental investigation and Monte Carlo simulation of landfill leachate treatment using physicochemical method and a non-thermal plasma reactor

ABSTRACT Leachate treatment is one of the challenging subjects in the field of waste management. Leachate as a dumpling sites hazardous byproduct due to the high concentration of chemical oxygen demand (COD) and toxic compounds with dark colour is a potential pollutant of the environment, causing a lot of problems in the absence of treatment and direct discharge to the environment. In this study, the combinatory performance of sequential chemical flocculation and coagulation process and non-thermal plasma (NTP) technology on leachate from the Sarāvān city former controlled landfill, Iran, was investigated. The outcomes of Jar test illustrated that hydrated aluminium sulphate (PAC) was selected the best coagulant compared with hydrated aluminium sulphate (HAS) and ferric chloride (FC) to remove suspended solids and colour. The optimised parameters for 10% PAC pre-treatment were obtained 3 g lime and cationic 0.1 g polyelectrolyte per 1 litre of leachate. After pre-treatment by using jar test, NTP was used to remove turbidity, colour, COD and so forth. The sequential system-based all stages of pretreatment and NTP diminished the turbidity and colour removal to 98.6% and 99.2%, respectively. Furthermore, COD, BOD5, TSS, and TDS were also reduced. As a result, combination of pre-treatment and NTP technology are able to remove the landfill leachate effectively. Monte Carlo calculations exhibited that Al3+ and H2O2 had the most effects to decompose HA (Humic acid) compound in physicochemical pre-treatment and treatment stages.

Sustainable manufacturing process thermal energy environment detection and green economy development based on image classification

With a growing global focus on sustainability, manufacturing needs to ensure productivity while reducing resource consumption and environmental impact. This paper discusses the thermal energy environment detection method based on image classification in order to improve the energy efficiency monitoring in the manufacturing process and promote the development of green economy. In this study, deep learning technology was used to train convolutional neural network (CNN) to classify thermal environment data, collect thermal data images from multiple manufacturing processes, and label them. The pretreatment technology is used to improve the data quality, and the classification effect is optimized through multi-level network structure. The training and verification process of the model ensures its reliability in practical application scenarios. The experimental results show that the proposed image classification method achieves high accuracy in thermal environment detection, which is obviously superior to the traditional method. Through real-time monitoring of thermal energy status, timely identification of abnormal conditions, so as to provide effective data support for the manufacturing process, and promote the realization of energy conservation and emission reduction goals. Therefore, the thermal environment detection based on image classification provides a new technical path for the sustainable development of the manufacturing industry, and helps enterprises realize the transformation and upgrading of the green economy.

The effects of different pretreatment technologies on microbial community in anaerobic digestion process: A systematic review.

The online version contains supplementary material available at 10.1007/s40201-024-00917-x.

Mechanisms and advancements in microwave-enhanced CO2 mineralization of lightweight porous concrete

Lightweight porous concrete (LPC) typically exhibits low early strength, which can be addressed by enhancing early strength through carbon dioxide (CO2) mineralization curing while achieving permanent CO2 sequestration. The efficacy of this process relies on maintaining optimal moisture levels. This study investigates the influence of moisture content on the performance of solid waste-based lightweight porous concrete blocks (RSFAC) subjected to microwave heating pretreatment. Moisture levels were adjusted to 10%, 20%, 30%, and 40% (initial water-to-cement ratio of 45.4%) before undergoing mineralization curing within an environment set at a temperature of 20 °C, relative humidity 75%, and a CO2 concentration of 40% for a duration of 0.5 h. The impact of moisture content on RSFAC's compressive strength, carbon sequestration rate, mineralization products, and microstructure was evaluated. Results indicate that compared to conventional oven pretreatment methods requiring nearly 10 h, microwave pretreatment technology achieves equivalent water content within just 50 min, significantly reducing the time needed for mineralization pretreatment. RSFAC, when pretreated with microwave heating, outperforms untreated samples (Ref-0 and Ref-1) in terms of compressive strength and carbon sequestration efficiency. Optimal performance was observed at a moisture content level of 30%, with the highest recorded compressive strength achieved at 1, 3, and 7 d respectively. At the curing age of 7 d, the compressive strength reached up to 2.32 MPa while the carbon sequestration rate reached approximately 11.61%. Furthermore, aragonite and calcite (tetrahedral and hexahedral), without poorly crystalline spherulites, were identified as the main crystalline CaCO3 generated by RSFAC under this specific moisture content condition; pores larger than 50 nm served as primary reaction sites for RSFAC mineralization curing, whereas there was a significant increase in pore proportion with sizes less than 20 nm after filling with mineralization products.

Erratum to: Review on biomass metallurgy: Pretreatment technology, metallurgical mechanism and process design

Erratum to: Review on biomass metallurgy: Pretreatment technology, metallurgical mechanism and process design

Combining radio frequency heating and alkaline treatment for enhancement of sludge disintegration and volatile fatty acids production from anaerobic fermentation

Sludge pretreatment plays a crucial role in solubilizing particulate matters to release organic matter for subsequent anaerobic fermentation (AF). This study innovatively combines radio frequency (RF) heating and alkaline treatment, and finds that the combined pretreatment achieved a sludge disintegration rate of 35.11 %, which is 15.19 % and 8.48 % higher than single RF or alkaline pretreatment. The dissociated ions from the alkali are conducive to RF action on sludge. Furthermore, the combined pretreatment significantly benefits the subsequent AF experiments, resulting in a 9-fold increase in volatile fatty acids production. Considering cost-effectiveness, the optimal operating condition is a 10-minute RF treatment at pH 10 with a total cost of 4.35 × 10-3 dollars per kg soluble chemical oxygen demand (SCOD) increased. These findings provide a foundational basis for the development of a novel technology for sludge pretreatment.

Dielectric barrier discharge plasma for chlorobenzene removal: Performance optimization, process modeling, and toxicity evaluation

Bio-purification has been recognized as an effective method of removal of volatile organic pollutants (VOCs), yet exist a technical bottleneck of low removal efficiency in the treatment of high toxicity and low water-soluble VOCs, especially chlorobenzene (CB). Herein, dielectric barrier discharge (DBD) technology was used as a pre-treatment technology, and the effect of process parameters (specific input of energy (SIE), inlet concentration of CB, humidity, and discharge length) of DBD on the removal performance of CB was analyzed, in order to investigate the feasibility of DBD as a pre-treatment approach for bio-purification. Taking energy yield, by-product analysis and exhaust evaluation as considerations, an SIE of 1,131.57 J·L-1, an inlet CB concentration of 300 ppm, a humidity of 50 %, and a discharge length of 10 cm were selected as the most suitable experimental conditions for the air DBD reactor. The temperature of gas flow was analyzed. Results suggested that DBD have no adverse thermal effect on the subsequent biotechnology (decreased by about 8 K during the discharge process). The temperature change caused by the degradation of CB (e.g., phenyl ring-opening and other processes) accounts for about 90 % of the total temperature change, where remaining part of temperature decreased caused by the large number of active substances produced by electron excitation, collision and cracking during discharge. The regulation of short-life active substances (e.g., ·NO, ·NO2,·OH, and O2–·) further reduced the toxicity of the outlet gas generated by DBD through affect the contents the long-life active substances (e.g., H2O2, and O3). This study provides a better understanding of the feasibility of DBD as a treatment for bio-purification and a new coupling technology for the effective removal of CB.

Life cycle carbon footprints of alternative sludge pretreatment technologies to recover carbon sources for denitrification

Excess sludge from wastewater treatment holds promise as a carbon source for denitrification. While there have been attempts at technological breakthroughs for carbon recovery from sludge through pretreatment and hydrolysis, a low-carbon footprint solution remains elusive. In this study, we evaluated seven pretreatment technologies for carbon recovery from sludge using life cycle assessment (LCA) modeling. The carbon footprints of technological configurations involving alkaline, ultrasound, thermal, oxidation, mechanical, microwave, and alkali/thermal treatments were quantified based on 123 consistent datasets, and compared by incorporating probability and uncertainty analyses with Monte Carlo and global sensitivity methods. Alkaline treatment achieved carbon footprint savings with a median of −128.71 kg CO2-eq/t TS, and the other technological configurations all show loads in median values. Significant variations in carbon footprints were observed both within and across different technological configurations. Probability distributions reveal overlaps among these configurations. Alkaline treatment has a high probability of obtaining carbon footprints ranging from −300 to 300 kg CO2-eq/t TS, while those for the other configurations showed various distribution with modes ranging from 0 to 3000 kg CO2-eq/t TS. Energy and chemical consumptions during pretreatment emerging were identified as key factors influencing the carbon footprint, with contributing 95–99% of the result uncertainty. Recommendations based on the top 15% probability indicate that technological configurations involving alkali/thermal and alkaline treatments offer a good balance of carbon source quality (180.12 kg/t TS and 142.39 kg/t TS, respectively) and relatively low carbon footprints (517.29 ± 80.06 kg CO2-eq/t TS and 136.99 ± 648.64 kg CO2-eq/t TS, respectively). These findings help identify the most sustainable technologies for carbon recovery from sludge and their potential improvements from a carbon footprint perspective. This study thus underscores the need for further research and technological advancements in sludge treatment to facilitate carbon recovery through denitrification.

Enhancement of methane production from anaerobic co-digestion of food waste and dewatered sludge by thermal, ultrasonic and alkaline technologies integrated with protease pretreatment

Pretreatments to improve the efficiency of anaerobic digestion (AD) have gained more attention. The efficiency and mechanism of neutral protease (NP) integrated with other methods remain unclear. This study investigated the efficacy of thermal, alkaline and ultrasonic technologies integrated with NP as the pre-treatments for AD of food waste and dewatered sludge. Results showed the thermal method integrated with NP (TH-NP) was the most effective, achieving a 104.2% improvement in methane production. In this case, TH-NP increased soluble chemical oxygen demand and protein concentrations by 8.6% and 39.8%, respectively. Microbial community analysis indicated that TH-NP promoted the symbiosis between Woesearchaeales and hydrogenotrophic methanogenesis. Furthermore, the PICRUSt2 analysis revealed that TH-NP increased the activities of most enzymes in the acetate and propionate metabolic pathways. In summary, TH-NP is more effective in increasing the AD efficiency compared to other combined pretreatments. This study provides theoretical support for protease-induced pretreatment technology.

Enhancing methane production in anaerobic digestion of waste activated sludge by combined thermal hydrolysis and photocatalysis pretreatment

Thermal hydrolysis (TH) is promising for sludge pretreatment, but the refractory substances generated at high temperatures inhibit anaerobic digestion. In this study, a novel combined TH and photocatalytic pretreatment method was proposed to improve the anaerobic digestion performance of waste activated sludge. The results showed that the combined pretreatment (170 °C, 0.5 g/L TiO2) increased methane yield by 66 % from 111 ± 5 m L/g VS to 185 ± 5 m L/g VS. After TH pretreatment, photocatalysis further promoted sludge solubilization by destroying extracellular polymeric substances, resulting in an increase in released soluble organic matter from 292 ± 16 mg/L to 4,091 ± 85 mg/L. In addition, photocatalysis improved the biodegradability of sludge by reducing the melanoidin and humic acid contents by 26 % and 20 %, respectively. The proposed novel pretreatment method effectively overcomes the bottleneck of TH technology and provides an alternative pretreatment technology for improving sludge resource recovery.

Textile waste pretreatment for anaerobic digestion: a review and technology feasibility study

AbstractThe increasing volume of textile waste in landfills and incineration poses severe environmental challenges. Waste valorisation of textile waste via anaerobic digestion (AD) is preferable, as it offers economic and environmental benefits, but it is hindered by textile complexity, necessitating effective pretreatment technologies to improve biogas production. This study aims to evaluate various pretreatment technologies for biogas production from textile fibres via AD. A weighted‐scoring analysis (WSA) assessed pretreatment methods based on technical, economic, environmental and operational criteria. Hydrothermal pretreatment emerged as the most technically effective method, scoring 140 owing to its substantial methane enhancement. Economically, shredding was the most viable option, scoring 125, as a consequence of low capital and O&M cost. Environmentally, hydrothermal and deep eutectic solvent (DES) pretreatments were top performers with 100 points owing to low environmental impact and positive heat reactions. In a case study conducted in the Auckland region, the potential environmental impact (PEI) obtained from hydrothermal and DES were 169 and 92 per year, respectively, resulting in minimal environmental impact. Operationally, ultrasonic and biological pretreatments scored highest owing to their ease of operation, and minimal health and safety requirements. Overall, hydrothermal pretreatment achieved the highest WSA score of 340, reflecting its balanced performance across all criteria. Hydrothermal pretreatment is the most promising technology for enhancing biogas production from textile waste. Its technical efficiency, economic feasibility and environmental benefits regarding the WSA score make it suitable for upscaling and providing a viable solution for managing textile waste in the AD plant. © 2024 The Author(s). Journal of Chemical Technology and Biotechnology published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry (SCI).