Bioresource Technology Reports最新文献_第2页

Temporal succession and compositional shift in an enrichment consortium during laboratory-scale crude oil biodegradation 实验室规模原油生物降解过程中富集联合体的时间演替和组成变化

IF 5

Bioresource Technology Reports Pub Date : 2026-09-01 Epub Date: 2026-08-13 DOI: 10.1016/j.biteb.2026.102987

Taein Kim, Sungjong Lee, Eun Hea Jho, Jin-Kyung Hong

{"title":"Temporal succession and compositional shift in an enrichment consortium during laboratory-scale crude oil biodegradation","authors":"Taein Kim, Sungjong Lee, Eun Hea Jho, Jin-Kyung Hong","doi":"10.1016/j.biteb.2026.102987","DOIUrl":"10.1016/j.biteb.2026.102987","url":null,"abstract":"<div><div>Petroleum hydrocarbons persist in the environment because of their hydrophobicity and chemical stability, which limit microbial accessibility. This study evaluated the biodegradation performance and temporal functional dynamics of a hydrocarbon-degrading enrichment consortium derived from crude oil-contaminated soil in Kuwait. After 6 months of enrichment with crude oil as the sole carbon source, the consortium was incubated with crude oil for 5 weeks. Surface tension (ST), hydrocarbon removal, microbial succession, and predicted metabolic pathways were monitored. ST decreased from 69.3 to 56.3 mN m<sup>−1</sup> by week 3, coinciding with 39% total petroleum hydrocarbon (TPH) removal. Fraction-specific analysis showed greater removal of n-alkanes (79%), polycyclic aromatic hydrocarbons (PAHs) (82%), and alkylated PAHs (79%). <em>Pseudomonas</em> dominated the early degradation phase, whereas <em>Achromobacter</em> remained relatively stable. Functional prediction indicated increased potential for fatty acid metabolism, β-oxidation, petroleum hydrocarbon degradation around week 3, providing mechanistic insight into temporal consortium adaptation during crude oil biodegradation.</div></div>","PeriodicalId":8947,"journal":{"name":"Bioresource Technology Reports","volume":"35 ","pages":"Article 102987"},"PeriodicalIF":5.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Food waste compost assessment via physicochemical analysis and metagenomic profiling 通过理化分析和宏基因组分析评估食物垃圾堆肥

IF 5

Bioresource Technology Reports Pub Date : 2026-09-01 Epub Date: 2026-07-30 DOI: 10.1016/j.biteb.2026.102961

Wei Si Soong, Jactty Chew, Mohamed Kheireddine Aroua, Lai Ti Gew

{"title":"Food waste compost assessment via physicochemical analysis and metagenomic profiling","authors":"Wei Si Soong, Jactty Chew, Mohamed Kheireddine Aroua, Lai Ti Gew","doi":"10.1016/j.biteb.2026.102961","DOIUrl":"10.1016/j.biteb.2026.102961","url":null,"abstract":"<div><div>Food waste composting offers a sustainable approach for diverting food waste from landfills while producing nutrient-rich soil amendments. However, comprehensive evaluations of compost quality derived from diverse food waste streams remain scarce. This study characterized and compared three in-house food waste composts (Composts A–C), collected from a university, a hotel, and a shopping mall—each with varying feedstock compositions, but produced using the same aerobic composting technology, with a commercially available plant waste compost (Compost D, control). Moisture content, pH, nutrient contents, and microbial communities were determined via shotgun metagenomic sequencing. Compost A exhibited comparable pH (6.31), C/N ratio (14.07), and nutrient levels (N: 3.04, P<sub>2</sub>O<sub>5</sub>: 0.95, K<sub>2</sub>O: 2.74) to the Compost D, suggesting a similar maturity based on physicochemical indicators. Metagenomic analysis revealed that Compost A was predominantly composed of fungi (81.43%), while Compost B (82.88%), C (97.35%) and D (90.84%) were bacterially dominated. Compost A and B were enriched in beneficial taxa—Proteobacteria, Firmicutes, Actinobacteria, Ascomycota, and Basidiomycota—commonly associated with organic matter degradation and nutrient transformation processes. Functional annotation identified genes related to information processing, metabolism, and cellular functions across compost samples, indicating active microbial roles in nutrient cycling. Notably, in-house composts showed lower occurrences of pathogens (<em>Begomovirus, Jasminevirus</em>) and antibiotic resistance genes (e.g., <em>tet(L), ermA</em>) compared to commercial compost. These findings indicate that these in-house food waste composts can exhibit physicochemical and microbial characteristics comparable to commercial compost. Further studies, including field-based assessments, are required to validate their agronomic performance and safety for practical applications.</div></div>","PeriodicalId":8947,"journal":{"name":"Bioresource Technology Reports","volume":"35 ","pages":"Article 102961"},"PeriodicalIF":5.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148935029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preparation of adhesive-free composite boards from agricultural and forestry solid waste: pretreatment-promoted enhancement of wet hot-pressing compatibility 用农林固体废弃物制备无胶粘剂复合板：预处理促进湿热压相容性的增强

IF 5

Bioresource Technology Reports Pub Date : 2026-09-01 Epub Date: 2026-08-11 DOI: 10.1016/j.biteb.2026.102991

Qiyu Zhang, Jiachen Zuo, Yuanhao Wang, Lin Lu, Hongxing Yang

{"title":"Preparation of adhesive-free composite boards from agricultural and forestry solid waste: pretreatment-promoted enhancement of wet hot-pressing compatibility","authors":"Qiyu Zhang, Jiachen Zuo, Yuanhao Wang, Lin Lu, Hongxing Yang","doi":"10.1016/j.biteb.2026.102991","DOIUrl":"10.1016/j.biteb.2026.102991","url":null,"abstract":"<div><div>Fabricating binder-free composite boards upcycles agro-forestry residues. To enhance the low strength and poor weatherability of wheat straw, four hard shells were screened as biomineralizers. A differential pretreatment was developed: alkali treatment for wheat straw to facilitate cross-linking, and acid-ZnCl₂ treatment for shells to preserve lignin rigidity and expose hydroxyl groups. Particle size critically affected mechanical properties; fine particles compromised physical interlocking. Oil-tea oleifera shells exhibited superior performance due to their porous structure, which adsorbed ZnCl₂ and formed dense regions under pressure. Optimal composite boards (wheat straw and 2 mm oil-tea oleifera shells) achieved tensile and bending strengths of 28.62 MPa and 35.58 MPa, increasing by 83.93% and 46.42% over pure straw boards, respectively. Water absorption decreased to 32.30%, reductions of 34.10% and 74.01% compared to pure shell and straw boards, respectively. This differential pretreatment method provides new insights for multi-source biomass board fabrication.</div></div>","PeriodicalId":8947,"journal":{"name":"Bioresource Technology Reports","volume":"35 ","pages":"Article 102991"},"PeriodicalIF":5.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148935031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Airflow optimization via artificial intelligence methods for in-vessel composting processes 通过人工智能方法优化容器内堆肥过程的气流

IF 5

Bioresource Technology Reports Pub Date : 2026-09-01 Epub Date: 2026-08-20 DOI: 10.1016/j.biteb.2026.103003

Domenico Palumbo, Paolo Roberto Di Palma, Marco Tammaro, Giulio Gazzola

{"title":"Airflow optimization via artificial intelligence methods for in-vessel composting processes","authors":"Domenico Palumbo, Paolo Roberto Di Palma, Marco Tammaro, Giulio Gazzola","doi":"10.1016/j.biteb.2026.103003","DOIUrl":"10.1016/j.biteb.2026.103003","url":null,"abstract":"<div><div>Composting is a biological recycling process that turns organic waste into a valuable soil resource called compost, reduces environmental impacts, and supports sustainable waste management systems. The ability to transfer oxygen to the microorganism in order to support their degradation of the organic matter is paramount for the process and is key in determining its overall efficiency. In this study an experimental apparatus made of a 30 l reactor, mimicking an industrial in-vessel reactor, was equipped with sensors for CO<sub>2</sub> concentration of the exhaust air, core temperature and inlet airflow. Data collected by these sensors were used in real time to correct the airflow and ensure that CO<sub>2</sub> concentration and temperature were within desired ranges. By applying artificial intelligence (AI) technologies such as machine learning (ML) on data collected during several experimental campaigns, based on both linear and non-linear model an optimized inlet airflow was calculated and compared to the experimental one. Specifically non-linear autoregressive networks with exogenous inputs (NARX) and optimization algorithms, integrated moving average with exogenous inputs (IMAXexo), autoregressive networks with exogenous inputs (ARX) and ridge regressors, were compared. Results show that AI technologies based on NARX model could effectively predict the airflow to be imposed with a R<sup>2</sup> value of 0.98, based on the predicted CO<sub>2</sub> concentration that exhibited an R<sup>2</sup> value of 0.97. This study represents the groundwork for a future AI controlled real-time process, that aims to maximize efficiency and minimize costs of in-vessel composting.</div></div>","PeriodicalId":8947,"journal":{"name":"Bioresource Technology Reports","volume":"35 ","pages":"Article 103003"},"PeriodicalIF":5.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148951370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI-driven EcoBlend optimiser: Machine learning ranking of feedstock oils for biodiesel suitability 人工智能驱动的EcoBlend优化器：用于生物柴油适用性的原料油的机器学习排名

IF 5

Bioresource Technology Reports Pub Date : 2026-09-01 Epub Date: 2026-08-06 DOI: 10.1016/j.biteb.2026.102981

R. Sudharsanan, K. Sathish Kumar, P.V. Gopirajan, Gurunathan Baskar

{"title":"AI-driven EcoBlend optimiser: Machine learning ranking of feedstock oils for biodiesel suitability","authors":"R. Sudharsanan, K. Sathish Kumar, P.V. Gopirajan, Gurunathan Baskar","doi":"10.1016/j.biteb.2026.102981","DOIUrl":"10.1016/j.biteb.2026.102981","url":null,"abstract":"<div><div>Demand for renewable energy continues to increase because of rapid industrial growth. The selection of an optimal feedstock significantly influences the quality and sustainability of biodiesel production. The present research uses a machine learning (ML) based indexing approach to rank various feedstocks including algae, castor, coconut, corn, cottonseed, jatropha, karanja, palm, peanut, rice bran, sesame, and sunflower oils for biodiesel production. An AI-based model named the EcoBlend Optimiser (EBO) was developed to evaluate multiple physicochemical properties based on three stages: precursor, process, and product (PPP) analysis. The hybrid EBO model took pre-processed datasets as input and used an Ensemble Classification Learning (ECL) block (Random Forest, Gradient Boosting Machine (GBM), Decision Support System (DSS)) to classify the datasets, followed by an Ensemble Regression Learning (ERL) block (Gradient Boosting Regressor (GBR), Light GBM (LightGBM), Categorical Boosting (CatBoost)) to enable the ML models to learn data patterns. The model then employed a SHapley Additive exPlanations (SHAP) block integrated with Extreme Gradient Boosting (XGBoost) to compute the final PPP index values based on the Multi-Criteria Comprehensive Oil Quality Index (MCCOQI). The SHAP block within the EBO revealed that algae oil exerted the greatest influence across all three stages. It showed the highest impact on the precursor stage and dominated the product stage with a significantly higher mean SHAP score of 0.2633. The EBO provides a rapid, data-driven decision support tool that facilitates sustainable feedstock-oil selection for biodiesel production. This approach offers a scalable solution for biorefineries to select high-performing, cost-effective, and environmentally friendly feedstocks.</div></div>","PeriodicalId":8947,"journal":{"name":"Bioresource Technology Reports","volume":"35 ","pages":"Article 102981"},"PeriodicalIF":5.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148951374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Valorization of biomass-derived molasses in magnesium potassium phosphate cement systems 生物质衍生糖蜜在磷酸镁钾水泥体系中的增值

IF 5

Bioresource Technology Reports Pub Date : 2026-09-01 Epub Date: 2026-08-25 DOI: 10.1016/j.biteb.2026.103013

Yakov Ermolov, Matvey Trutnev, Anton Kasprzhitskii, Georgy Lazorenko

{"title":"Valorization of biomass-derived molasses in magnesium potassium phosphate cement systems","authors":"Yakov Ermolov, Matvey Trutnev, Anton Kasprzhitskii, Georgy Lazorenko","doi":"10.1016/j.biteb.2026.103013","DOIUrl":"10.1016/j.biteb.2026.103013","url":null,"abstract":"<div><div>Magnesium potassium phosphate cement (MKPC) is a type of chemically bonded phosphate ceramic whose hydration requires effective control to ensure adequate workability and stable performance. This study investigates sugar beet molasses (SBM), a carbohydrate rich agro-industrial by-product, as a bio-based admixture for regulating MKPC hydration. MKPC pastes containing SBM (SBM-to-MgO mass ratios of 0.1–0.5) were evaluated in terms of hydration temperature, early-age compressive strength, physical properties, phase composition, and microstructure. SBM effectively moderated hydration by reducing the peak temperature and redistributing heat release over time. Moderate SBM dosages enhanced early compressive strength while reducing water absorption and accessible porosity. XRD and FTIR confirmed that SBM preserved the struvite-dominated phase assemblage, whereas SEM revealed refined hydration products and a denser matrix. Overall, SBM acts as an effective bio-based hydration regulator, improving the early-age performance and physical properties of MKPC while promoting the valorization of an agricultural by-product.</div></div>","PeriodicalId":8947,"journal":{"name":"Bioresource Technology Reports","volume":"35 ","pages":"Article 103013"},"PeriodicalIF":5.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From farm to fuel: Cumulative energy demand and biofuel potential of major plant protein sources 从农场到燃料：主要植物蛋白质来源的累积能源需求和生物燃料潜力

IF 5

Bioresource Technology Reports Pub Date : 2026-09-01 Epub Date: 2026-08-03 DOI: 10.1016/j.biteb.2026.102977

Vladislav Zhdanov, Julia Bondareva, Stanislav Evlashin

引用次数: 0

Microwave-deep eutectic solvent synergy: An integrated pretreatment approach for enhanced extraction and modulation of fatty acid methyl ester composition from Chlorella vulgaris biomass 微波-深度共熔溶剂协同作用：小球藻生物质中脂肪酸甲酯组成的强化提取和调节的综合预处理方法

IF 5

Bioresource Technology Reports Pub Date : 2026-09-01 Epub Date: 2026-08-21 DOI: 10.1016/j.biteb.2026.103002

Shivani Thakur, K.N. Yogalakshmi

{"title":"Microwave-deep eutectic solvent synergy: An integrated pretreatment approach for enhanced extraction and modulation of fatty acid methyl ester composition from Chlorella vulgaris biomass","authors":"Shivani Thakur, K.N. Yogalakshmi","doi":"10.1016/j.biteb.2026.103002","DOIUrl":"10.1016/j.biteb.2026.103002","url":null,"abstract":"<div><div>Microalgal lipids are recognized as a promising bio-based feedstock for biochemical and biofuel production, but their tough cell walls necessitate energy-intensive pretreatments. The unique heating properties of microwaves and the environmentally friendly nature of deep eutectic solvents (DES) have attracted significant attention as an effective pretreatment option. In the present study, microwave-assisted DES pretreatment was investigated to enhance lipid yield via cell wall disintegration in <em>Chlorella vulgaris</em>. The influence of microwave (MW) sequence application, either prior to DES treatment (MW-DES) or after DES pretreatment (DES-MW), on the lipids and fatty acid methyl esters (FAMEs) composition was evaluated. Microwave pretreatment was performed for a 30 s duration with specific energy inputs ranging from 22 to 134 MJ/kg VS (volatile solids) and temperatures of 40, 100, and 180 °C. The highest lipid recovery (36 ± 0.6%), was obtained at a specific energy and temperature of 66 MJ/kg VS and 100 °C, respectively. Likewise, among the three aqueous DESs investigated, aqueous mixture of choline chloride-lactic acid (ChCl:LA<sub>aq.</sub>) demonstrated highest lipid content (23 ± 0.6%). Integration of MW (66 MJ/kg VS) with DES (ChCl:LA<sub>aq.</sub>), particularly through the MW-DES sequence, significantly enhanced the lipid content (47 ± 0.9%), while the DES-MW sequence yielded a slightly lower lipid content of 39 ± 0.7%. Additionally, the pretreatment sequence also influenced the FAMEs composition, exhibiting more unsaturated FAMEs in MW-DES and saturated FAMEs in DES-MW sequence. These findings demonstrated that MW assisted DES pretreatment enhanced lipid recovery and influenced FAME composition.</div></div>","PeriodicalId":8947,"journal":{"name":"Bioresource Technology Reports","volume":"35 ","pages":"Article 103002"},"PeriodicalIF":5.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148951376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biodegradation potential and genomic characteristics of Trametes versicolor 604–2: a high-efficiency lignocellulolytic strain for corn stover 玉米秸秆高效木质纤维素降解菌株——色曲曲菌604-2的生物降解潜力和基因组特性

IF 5

Bioresource Technology Reports Pub Date : 2026-09-01 Epub Date: 2026-08-03 DOI: 10.1016/j.biteb.2026.102975

Xinyue Zhao, Zhong Xiao, Jie Qin, Qian Li, Haoyu Yang, Fude Liu, Tao Du, Bin Zhao, Chenchen Peng

{"title":"Biodegradation potential and genomic characteristics of Trametes versicolor 604–2: a high-efficiency lignocellulolytic strain for corn stover","authors":"Xinyue Zhao, Zhong Xiao, Jie Qin, Qian Li, Haoyu Yang, Fude Liu, Tao Du, Bin Zhao, Chenchen Peng","doi":"10.1016/j.biteb.2026.102975","DOIUrl":"10.1016/j.biteb.2026.102975","url":null,"abstract":"<div><div>Efficient bioconversion of corn stover, an agricultural waste, is an important approach to achieve biomass resource utilization. However, the resource utilization of corn stover is severely limited by the recalcitrant structure of lignin. Screening and characterizing lignin-degrading fungi is therefore critical for improving the bioutilization of corn stover and promoting targeted delignification. In this study, a lignin-degrading strain was isolated from rotting wood, identified as <em>Trametes versicolor</em> 604–2, through dual screening with guaiacol- and aniline blue- plates. It efficiently secretes laccase and peroxidase, exhibiting typical ligninolytic properties. Multiple degradation experiments on corn stover revealed that strain 604–2 exhibited clear preferential lignin degradation, while effectively preserving cellulose. After a 7-day treatment with strain 604–2, 23.18% of the lignin in corn stover powder was degraded. Upon treatment of sterilized corn stover blocks for 15 days, the lignin, hemicellulose and cellulose degradation were 52.03%, 19.26%, and 19.13%, respectively. In a 15-day experiment of non-sterile solid-state fermentation, 43.33% of lignin was degraded, which was significantly higher than that of the control group, indicating that strain 604–2 maintained activity under controlled non-sterile conditions. Whole-genome analysis revealed that the strain possesses abundant CAZyme genes responsible for cellulose and hemicellulose degradation. Meanwhile, a variety of AA family oxidoreductase genes related to lignin depolymerization were annotated, providing molecular support for its efficient lignin degradation capacity. This study demonstrates that <em>T. versicolor</em> 604–2 is a promising strain for practical corn stover resource utilization.</div></div>","PeriodicalId":8947,"journal":{"name":"Bioresource Technology Reports","volume":"35 ","pages":"Article 102975"},"PeriodicalIF":5.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative extraction of valuable compounds from Pinus roxburghii needles using microwave-assisted and supercritical CO₂ methods 微波辅助co2法和超临界co2法提取刺松针叶中有价化合物的比较研究

IF 5

Bioresource Technology Reports Pub Date : 2026-09-01 Epub Date: 2026-08-31 DOI: 10.1016/j.biteb.2026.103016

Sunil Kumar, Amit Rai, Kamlesh Prasad

{"title":"Comparative extraction of valuable compounds from Pinus roxburghii needles using microwave-assisted and supercritical CO₂ methods","authors":"Sunil Kumar, Amit Rai, Kamlesh Prasad","doi":"10.1016/j.biteb.2026.103016","DOIUrl":"10.1016/j.biteb.2026.103016","url":null,"abstract":"<div><div>This study compared supercritical carbon dioxide (SC-CO₂) and microwave-assisted extraction (MAE) for the recovery of bioactive phytochemicals from <em>Pinus roxburghii</em> needles. The preliminary phytochemical screening demonstrated that the compounds of both the polar and semi-polar classes were more efficiently extracted using SC-CO₂, while the non-polar compounds were more efficiently extracted using MAE. The results were quantitatively analyzed and revealed that SC-CO₂ extracts had higher concentrations of total phenolics (TPC) (649.85 ± 5.25 mg GAE/100 g), flavonoids (109.60 ± 1.30 mg QE/100 g) and carotenoids (9.11 ± 0.50 mg/g) than MAE extracts. The antioxidant activity was also higher for SC-CO₂ with DPPH radical-scavenging activity of 72.29% and IC<sub>50</sub> of 43.30 ± 0.44 μg/mL, than for MAE (70.38% and 54.90 ± 0.83 μg/mL respectively). The antioxidant activity and phenolic content of the extracts were higher in simulated gastrointestinal digestion except for the MAE extracts in which carotenoid stability was comparatively greater. FTIR spectra showed the presence of the same functional groups in both extracts, whereas GC–MS showed differences in the phytochemical composition and fatty acid profile, with the SC-CO₂ extract having a greater amount of unsaturated fatty acids. The antimicrobial activity of SC-CO₂ extracts against selected Gram-positive and Gram-negative bacteria was also significantly higher while the highest concentration of MAE exhibited slightly higher insecticidal activity. SC-CO₂ proved to be more selective and effective in the recovery of bioactive compounds and biological activities, showing its promise for the sustainable valorization of <em>P. roxburghii</em> needles.</div></div>","PeriodicalId":8947,"journal":{"name":"Bioresource Technology Reports","volume":"35 ","pages":"Article 103016"},"PeriodicalIF":5.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0