Industrial Crops and Products最新文献

{"title":"Hyperbranched lignin nanoparticles-enabled nanohybrid film for high-performance electromagnetic interference shielding and dual-mode thermal management","authors":"Chao Duan ,&nbsp;Qi Fan ,&nbsp;Ruoteng Ma ,&nbsp;Kang Yang ,&nbsp;Guodong Tian ,&nbsp;Xiaoshuang Liu ,&nbsp;He Feng ,&nbsp;Yonghao Ni","doi":"10.1016/j.indcrop.2025.122131","DOIUrl":"10.1016/j.indcrop.2025.122131","url":null,"abstract":"<div><div>Electromagnetic interference (EMI) becomes a critical environmental and health concern with the proliferation of numerous electronic devices. However, achieving uniform dispersion and alignment of magnetic and conductive nanofillers to prepare EMI shielding films remains challenging. In this study, a bio-based multifunctional nanohybrid film, namely CNFs/MXene/T-Fe₃O₄/H-LNPs (CMFL), was constructed by integrating hyperbranched lignin nanoparticles (H-LNPs), cellulose nanofibrils (CNFs), MXene, and tetraethyl orthosilicate (TEOS) modified Fe₃O₄ (T-Fe₃O₄). It is hypothesized that the hydroxyl-rich H-LNPs, serving as effective dispersants, facilitate the uniform dispersion of T-Fe₃O₄ through electrostatic repulsion. Furthermore, these H-LNPs, acting as nano-bonding agents, not only promote the ordered alignment and interfacial bonding of MXene lamellae, but also endow the resultant CMFL film with excellent mechanical properties with tensile strength of 41.89 MPa. Thanks to the synergy of polarization, conduction, and hysteresis losses, the optimized CMFL film sample can achieve 61.3 dB of EMI shielding effectiveness at a thickness of 67 μm. Moreover, the nanohybrid film demonstrates dual-mode thermal management enhanced by photothermal conversion and Joule heating effects. It can rapidly heat to 76.1 °C under 1.0 kW·m⁻² of solar irradiation and stabilize at 68.3 °C under a 3 V input. This study offers a sustainable approach to developing advanced bio-based materials for EMI shielding and thermal management applications.</div></div>","PeriodicalId":13581,"journal":{"name":"Industrial Crops and Products","volume":"237 ","pages":"Article 122131"},"PeriodicalIF":6.2,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145306227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanistic aspect of humic acid and Pseudomonas nitroreducens strain UF50 to alleviate nickel toxicity in soybean","authors":"Peter Odongkara ,&nbsp;Arjun Adhikari ,&nbsp;Sang-Mo Kang ,&nbsp;Ayim Yaw Benjamin ,&nbsp;Lee In-Jung","doi":"10.1016/j.indcrop.2025.122114","DOIUrl":"10.1016/j.indcrop.2025.122114","url":null,"abstract":"<div><div>Nickel (Ni): A dual-role element in plants and soil is beneficial in small doses and harmful in excess. Phytodetoxification of plants or phytoremediation of soil utilizing biological tools could be a sustainable approach in alleviating Ni-toxicity. This study explored the effect of humic acid (HA) and rhizobacteria to phytodetoxify Ni in polluted soils using soybean. The trial involved use of 1 % HA, 2.8 × 106 CFU/mL strain UF50 culture and 5 mM NiCl₂·6 H₂O <em>in vitro.</em> Ni-stress (1188.5 mg/kg Ni^2 + L⁻¹) was induced within 10 days of stress (DOS) and 4 days of recovery. Precisely, treatment with HA+UF50 enhanced antioxidant activities, soybean tolerance, growth, and biomass accumulation after 10 DOS. Untreated plants were stunted, chlorotic with increased content of superoxide anions (87 %), malondialdehyde (99.06 %), and hydrogen peroxide (1.4201-fold). Under same condition, abscisic acid (ABA) content and inducible expression rose by 1.02 and 2-fold, respectively. Particularly, treatment with HA+UF50 elevated salicylic acid and elemental concentrations of P, K⁺, Ca²⁺, and Mg²⁺ by 96.27, 9.56, 31.48 percent and 1.2313-fold, respectively. Inoculation of UF50 alone or in combination with HA reduced root Ni content by (30 %), and increased shoot contents by (81 %), as depicted by molecular expression patterns. Treatment upregulated expression of metal transporters <em>GmHMA13</em>, <em>GmHMA14</em>, and stress regulator transcripts <em>GmWRKY172, GmbZIP152</em> coupled with down-regulation of <em>GmAB15–1</em> under Ni-stress. Co-treated plants reduced ABA, enhanced SA levels and expression of <em>GmPR2,</em> augmenting resilience to Ni-toxicity. This result affirms the importance of neutralizing Ni-toxicity in soil and plants using HA+UF50 composite as sustainable eco-friendly alternative for phytodetoxification/phytoremediation of Ni-contaminated agroecosystem.</div></div>","PeriodicalId":13581,"journal":{"name":"Industrial Crops and Products","volume":"237 ","pages":"Article 122114"},"PeriodicalIF":6.2,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145306228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Availability and procurement cost analysis of fresh Norway spruce (Picea abies) logging residue chips and needles from regeneration fellings to biorefining in Finland","authors":"Juha Laitila ,&nbsp;Paula Jylhä ,&nbsp;Hanna Brännström ,&nbsp;Tapio Ranta ,&nbsp;Antti Asikainen","doi":"10.1016/j.indcrop.2025.122145","DOIUrl":"10.1016/j.indcrop.2025.122145","url":null,"abstract":"<div><div>Logging residues of Norway spruce <em>(Picea abies)</em>, especially needles with a high extractives content, show potential as a raw material for biorefineries. The present study aimed to assess the availability and procurement costs of fresh Norway spruce logging residue chips and needles for five hypothetical sites in different parts of Finland through a region-level system analysis. The raw material potential and sourcing costs were calculated for an area within a 100-km transport distance along the existing road network from the five hypothetical delivery points. The yield and cost calculations were based on stand data from three major forest industry companies. The procurement cost simulations included harvesting, chipping, chip transportation, and screening of the chips at the delivery point. Both accumulation and procurement costs were calculated per dry tonne. The highest marginal procurement costs of logging residue chips were within the range of 98.8–100.5 € per dry tonne, when their technical harvesting potential varied between 47,000 and 198,000 dry tonnes per year among the five delivery points. Compared to logging residue chips, the procurement cost for the needles was 11.1–16.6 € per dry tonne higher when the recovery rate of needles by screening was assumed to be 50 % of the total which was 15,000–63,000 dry tonnes per year. Procurement costs were very sensitive to the recovery rate of the needles, which affects both the screening cost and the accumulation of needle feedstock.</div></div>","PeriodicalId":13581,"journal":{"name":"Industrial Crops and Products","volume":"237 ","pages":"Article 122145"},"PeriodicalIF":6.2,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discovery of insecticidal cyclotides from the African plants Allexis batangae and Allexis obanensis","authors":"Negin Khatibi ,&nbsp;Olivier Ndogo Eteme ,&nbsp;Conan K. Wang ,&nbsp;Edward K. Gilding ,&nbsp;Ernestine Nkwengoua Zondegoumba ,&nbsp;Michelle L. Colgrave ,&nbsp;Yen-Hua Huang ,&nbsp;David J. Craik","doi":"10.1016/j.indcrop.2025.122073","DOIUrl":"10.1016/j.indcrop.2025.122073","url":null,"abstract":"<div><div>Cyclotides are plant-derived cyclic peptides recognized for their crucial role in host defense against insects and fungal pathogens. They are characterized by an ultra-stable head-to-tail cyclic backbone and a cystine knot formed by three conserved disulfide bonds, and are considered to be a promising group of molecules for a diverse array of agricultural and pharmaceutical applications. Cyclotides have been identified in five major plant families, with the Violaceae being a particularly rich source. Although cyclotides are ubiquitous in the Violaceae, many genera within this family remain unexplored. In the current study, the presence of cyclotides in <em>Allexis batangae</em> and <em>Allexis obanensis</em> from the <em>Allexis</em> genus in the Violaceae family was investigated. Five bracelet cyclotides, including three novel cyclotides, Alba A-C, were isolated and characterized using MS-MS analysis and NMR spectroscopy. The cytotoxic activity of these cyclotides was evaluated against <em>Spodoptera frugiperda</em> (Sf9) insect cells and demonstrated high potency as insecticidal agents, with Alba C exhibiting the highest activity (CC₅₀= 0.18 ± 0.02 µM). The insecticidal effect of the discovered cyclotides was further evaluated in a feeding study using <em>Helicoverpa armigera</em> L3 larvae. Both a plant extract and individual cyclotides effectively inhibited larval growth. The <em>A. batangae</em> extract showed the greatest effect, followed by Alba B and the <em>A. obanensis</em> extract, achieving approximately 70 % and 50 % greater inhibition than the known insecticidal cyclotide kalata B2. Moreover, ecotoxicological evaluation using <em>Daphnia magna</em> revealed no acute toxicity of the tested cyclotides, underscoring their safety for non-target aquatic organisms. These findings underscore the potential of cyclotides as potent bioinsecticide agents and highlight their promising applications in agricultural pest management.</div></div>","PeriodicalId":13581,"journal":{"name":"Industrial Crops and Products","volume":"237 ","pages":"Article 122073"},"PeriodicalIF":6.2,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145306223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating plant height, nitrogen uptake and above-ground biomass using UAV multispectral imaging coupled with machine learning in industrial hemp (Cannabis sativa L.)","authors":"Anmoldeep Singh ,&nbsp;Ravinder Singh ,&nbsp;Kulpreet Singh ,&nbsp;Yogendra Raj Upadhyaya ,&nbsp;Ayush K. Sharma ,&nbsp;Zachary Brym ,&nbsp;Lakesh K. Sharma ,&nbsp;Hardeep Singh","doi":"10.1016/j.indcrop.2025.122130","DOIUrl":"10.1016/j.indcrop.2025.122130","url":null,"abstract":"<div><div>Industrial hemp (<em>Cannabis sativa</em> L.) is known for its high fiber production with lower ecological footprint. Nitrogen (N) status and stem biomass (SB) and total above-ground biomass (AGB) of the crop highly influence fiber quantity and quality. Conventional monitoring practices are labour intensive and time consuming. Unmanned Aerial Vehicles (UAVs) with imaging sensors can be a promising tool for mitigating these challenges. This study evaluated the performance of multispectral camera-equipped UAV in predicting key agronomic parameters, i.e., plant height (PH), Leaf Nitrogen Uptake (LNU) and SB and AGB. Field trials were conducted at UF/IFAS West Florida Research and Education Centre, Jay, FL during the years 2021 and 2022 consisting of two cultivars and six N treatments. The PH was estimated through Crop Height Model, yielding an R² of 0.87 at full crop maturity (90 days after planting). Twenty-seven Vegetation Indices (VIs) were extracted and features, including PH and VIs, were selected through Recursive Feature Elimination with adjusted Variance Inflation Factor (VIF&lt;10) to develop machine learning models for the estimation of yield components. The LNU prediction was best with Support Vector Machine model with R², RMSE and nRMSE % value of 0.364, 34.55 kg N ha⁻¹ and 68.48 respectively. Random Forest Regressor predicted the SB and total AGB most accurately with R², RMSE and nRMSE % value of 0.752 and 0.707, 890.70 and 1492.73 kg ha⁻¹, 48.86 and 43.05 respectively. The results demonstrate the potential of UAVs to generate more reliable estimates of PH, SB and total AGB whereas it remained unreliable for LNU.</div></div>","PeriodicalId":13581,"journal":{"name":"Industrial Crops and Products","volume":"237 ","pages":"Article 122130"},"PeriodicalIF":6.2,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145306274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolution of microbial communities in biomass stacks during the self-heating process and their influence on fuel properties","authors":"Zhihao Huang ,&nbsp;Tingting Zhao ,&nbsp;Zhida Wei ,&nbsp;Xianbin Xiao ,&nbsp;Wu Qin ,&nbsp;Zongming Zheng","doi":"10.1016/j.indcrop.2025.122123","DOIUrl":"10.1016/j.indcrop.2025.122123","url":null,"abstract":"<div><div>Biomass industry development requires large-scale storage of biomass feedstock, but microbial growth in biomass stacks may result in self-heating, smouldering, and safety risks. The 16S rRNA/ITS high-throughput sequencing was employed to investigate the bacterial and fungal community evolution with rice husk and wheat straw. The dominant bacterial and fungal communities were identified based on the relative abundance and alpha diversity analysis. The results showed that the bacteria in the initial biomass samples were mainly <em>Actinobacteriota</em>, <em>Proteobacteria</em>, and <em>Firmicutes</em>. The fungi were mostly <em>Ascomycota</em> and <em>Basidiomycota</em>. Both samples' species richness went down with the increasing stacking time. Field emission scanning electron microscopy (FESEM), biomass fraction analysis, calorific value testing and thermogravimetric-differential scanning calorimetry (TG-DSC) were used to examine the impact of microbial life activities on the microstructure and chemical composition of biomass fuel. The findings indicated that microbial life activities had significant effect on microstructure damage of biomass materials. Hemicellulose was more vulnerable to microbial degradation than cellulose and lignin. Rice husk and wheat straw 's gross calorific value declined by 9.35 %, and 22.35 % in the 7 days stacking, respectively. Fuel analysis revealed that wheat straw was more susceptible to self-heating and spontaneous combustion than rice husk.</div></div>","PeriodicalId":13581,"journal":{"name":"Industrial Crops and Products","volume":"237 ","pages":"Article 122123"},"PeriodicalIF":6.2,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145295082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drought stress prediction in Camellia oleifera seedlings using a deep learning hybrid model with temporal-spatial feature fusion","authors":"Jiayi Du ,&nbsp;Jiayi Liao ,&nbsp;Guangyuan Huang ,&nbsp;Kailiang Wang ,&nbsp;Wei Long","doi":"10.1016/j.indcrop.2025.122126","DOIUrl":"10.1016/j.indcrop.2025.122126","url":null,"abstract":"<div><div><em>Camellia oleifera</em>, a distinctive and economically vital woody oil species in China, holds significant ecological and economic importance. However, the increasing frequency and intensity of drought events due to global climate change severely threaten its growth and yield stability. This study established controlled drought conditions in a greenhouse environment, and measured Soil and Plant Analysis Development (SPAD) values of two-year-old grafted container-grown seedlings to assess chlorophyll content and photosynthetic potential. Substrate moisture content (Volumetric Water Content, VWC, %), substrate temperature (℃) at upper, middle, and lower container positions, as well as greenhouse air temperature (℃) and relative humidity (RH, %), were monitored. A hybrid deep learning model, Temporal Convolutional Network-Bidirectional Long Short-Term Memory with dual attention mechanisms (TCN-BiLSTM-D2), was developed to predict SPAD values using these environmental variables. Results identified a critical substrate moisture threshold: plant mortality reached 100 % when VWC dropped below 5 %. Substrate temperature exhibited strong positive correlations with air temperature (r = 0.85–0.86) but negative correlations with relative humidity (r = -0.55 to −0.56), while substrate moisture exhibited strong negative correlations with both air temperature and substrate temperature (<em>r</em> = -0.82 to −0.67) and positive correlation with relative humidity (<em>r</em> = 0.30–0.37). SPAD values were significantly correlated with moisture in the middle and lower substrate layers (r = 0.16–0.63). Cultivars CL40 and CL53 exhibited significant negative SPAD responses to rising temperatures (<em>r</em> = -0.36 to −0.06). The model incorporated Feature Focus Attention (FFA) and Multiple Soft Attention (MSA), collectively termed D2, to dynamically weight input features based on their predictive relevance. This enhancement achieved exceptional performance, with a coefficient of determination (<em>R</em>²) of 0.982, Mean Squared Error (MSE) of 0.001, and Mean Absolute Percentage Error (MAPE) of 3.79 %. The TCN-BiLSTM-D2 model substantially outperformed conventional methods, including Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), Recurrent Neural Network (RNN), and Temporal Convolutional Network (TCN). This framework enables non-destructive, high-throughput phenotypic monitoring and early warning of dynamic environmental stress, providing a robust tool for drought-resistance research in <em>C. oleifera</em> and practical support for the optimization of irrigation, the improvement of cultivation, and drought-tolerant breeding.</div></div>","PeriodicalId":13581,"journal":{"name":"Industrial Crops and Products","volume":"236 ","pages":"Article 122126"},"PeriodicalIF":6.2,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early in-situ detection of tobacco root diseases using a wearable plant sensor","authors":"Qiang Xu ,&nbsp;Junying Li ,&nbsp;Yanling Zhang ,&nbsp;Jianwei Wang ,&nbsp;Taibo Liang ,&nbsp;Aiguo Wang ,&nbsp;Zijie Liaoyang ,&nbsp;Weimin Guo ,&nbsp;Xianglin Cheng","doi":"10.1016/j.indcrop.2025.122090","DOIUrl":"10.1016/j.indcrop.2025.122090","url":null,"abstract":"<div><div>Black shank disease and root rot disease represent the most destructive diseases of tobacco. Once it occurs, it will spread rapidly, endangering the health of tobacco plants, and even killing them. The stem near the root of tobacco plant is the first part that can exhibit observable signs of root disease. Monitoring the dynamic variations of in-situ stem water content (S_tWC) near the root is beneficial for the early detection of tobacco root diseases. Therefore, we developed a wearable plant sensor with a flexible interdigitated-electrodes (IE) probe design for in-situ monitoring of StWC and early identification and warning of tobacco root diseases. The IE probe of wearable sensor was securely affixed to the stem, and the soil moisture (SM) sensors were buried in the corresponding root area. The results demonstrated a clear inconsistency in the observed trend between the S_tWC near roots of diseased and healthy tobacco plants. About 60 h before the blackening of the stems near roots, the SM of diseased tobacco plants (0.007 cm³/cm³) indicated a slower decrease compared to healthy tobacco plants (0.021 cm³/cm³). In accordance with this phenomenon, the daily variation of S_tWC near roots of diseased tobacco plants (0.023 cm³/cm³) was significantly less than that of healthy tobacco plants (0.048 cm³/cm³). Moreover, the abnormal changes of S_tWC near roots of diseased tobacco plants after blackening further validated the availability of the wearable sensor in the early detection and warning of tobacco root diseases. The tobacco plant may have been in early diseased stage when the daily change of S_tWC was continuously less than 0.037 cm³/cm³. Future research will focus on the mechanism of water conduction between soil and stem near the root of tobacco plants, and the potential application of the wearable sensor in early disease detection.</div></div>","PeriodicalId":13581,"journal":{"name":"Industrial Crops and Products","volume":"237 ","pages":"Article 122090"},"PeriodicalIF":6.2,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145306224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aqueous-phase fabrication of cellulose-mineral composites with enhanced Cd(II) adsorption and mechanistic insights","authors":"Peipei Meng ,&nbsp;Qianya Zhou ,&nbsp;Na Zhang ,&nbsp;Lijuan Zhang ,&nbsp;Liuchun Zheng","doi":"10.1016/j.indcrop.2025.122133","DOIUrl":"10.1016/j.indcrop.2025.122133","url":null,"abstract":"<div><div>In this study, a green and sustainable synthesis strategy was developed to fabricate cellulose-based composite adsorbents by replacing the organic dispersion system previously used with an aqueous medium. Two inorganic fillers, sepiolite and TiO₂, were respectively incorporated to prepare cellulose-sepiolite (CgS(H₂O)) and cellulose-TiO₂ (CgT(H₂O)) composites, aiming to investigate the influence of mineral type and dispersion phase on Cd(II) adsorption performance and mechanism. Compared to the earlier reported CAT material synthesized in organic media, both aqueous-phase composites showed enhanced porosity, surface functionality, and carboxyl group distribution. CgS(H₂O) exhibited a fluffy, porous network structure with high micro/mesopore connectivity, achieving a maximum Cd(II) capacity of 239.45 mg/g. CgT(H₂O), with higher surface area and Ti–O active sites, demonstrated the highest capacity of 368.82 mg/g, significantly surpassing CAT (105 mg/g). Kinetic and isotherm analysis revealed that CgS(H₂O) followed multilayer chemisorption, while CgT(H₂O) conformed to monolayer Langmuir-type adsorption. Density functional theory (DFT) simulations further indicated stronger binding affinities and more active carboxyl-dominant sites in CgT(H₂O), while CgS(H₂O) benefited from networked carboxyl groups and Si–O-based interaction domains. These findings collectively highlight that the aqueous dispersion strategy, combined with targeted mineral selection, enhances not only environmental friendliness but also material structure and adsorption efficiency, offering a versatile platform for efficient heavy metal removal from water.</div></div>","PeriodicalId":13581,"journal":{"name":"Industrial Crops and Products","volume":"237 ","pages":"Article 122133"},"PeriodicalIF":6.2,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145295084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mixed Triticum aestivum and Vicia sativa cover crops and biofertilizers improve growth of continuous cropping Apium graveolens by altering soil chemistry and rhizosphere bacterial communities","authors":"Jiawen Wu ,&nbsp;Yimei Cao ,&nbsp;Zhenkun Chen,&nbsp;Fengzhi Wu","doi":"10.1016/j.indcrop.2025.122106","DOIUrl":"10.1016/j.indcrop.2025.122106","url":null,"abstract":"<div><div>For sustainable agriculture, combined cover crops, bacterial fertilizers, and vermicompost are theoretically more beneficial, yet effects and mechanisms remain unknown. We conducted a pot experiment using <em>Apium graveolens</em>, susceptible to continuous cropping obstacles, as the main crop, with <em>Triticum aestivum</em> and <em>Vicia sativa</em> as mixed cover crops. Eight treatments were designed: CF (0.232 g chemical fertilizer·kg⁻¹ soil), BF (0.464 g bacterial fertilizer·kg⁻¹ soil), VMC (46.416 g vermicompost·kg⁻¹ soil), BV (0.232 g bacterial fertilizer·kg⁻¹ soil + 23.208 g vermicompost·kg⁻¹ soil), and CC/CB/CV/CBV (cover crops + CF/BF/VMC/BV, respectively). Growth, quality, soil chemical properties and rhizosphere bacterial were analyzed. CB and CV were most beneficial for growth and quality, respectively, both showing higher absolute abundances of total bacteria and <em>Bacillus</em> spp. CV increased α-diversity. Cover crops enriching network core OTU8551 (<em>Bacillus</em> spp.), and combinations with biofertilizers enriching OTU499 (<em>Pseudomonas</em> spp.). Vermicompost and cover crops increased network complexity, while cover crops partially restored the robustness reduction caused by biofertilizers. RDA analysis showed that cover crop–biofertilizer combinations were positively correlated with pH and negatively with EC. Mantel test indicated that network complexity was driven by EC, pH, NH₄⁺-N, NO₃⁻-N, and AP, while robustness was affected by EC, SOM, TN, NH₄⁺-N, NO₃⁻-N, and AP. In summary, combining cover crops with a single biofertilizer further boosts productivity. Bacterial fertilizers acted via individuals, while cover crops and vermicompost additionally enhanced bacterial interactions, all regulated by soil chemistry and contributing to beneficial rhizosphere effects.</div></div>","PeriodicalId":13581,"journal":{"name":"Industrial Crops and Products","volume":"237 ","pages":"Article 122106"},"PeriodicalIF":6.2,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145295085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}