Types Of Residues Research Articles

Intrinsically Disordered Compositional Bias in Proteins: Sequence Traits, Region Clustering, and Generation of Hypothetical Functional Associations.

Compositionally biased regions (CBRs), ie, tracts that are dominated by a subset of residue types, are common features of eukaryotic proteins. These are often found bounded within or almost coterminous with intrinsically disordered or 'natively unfolded' parts. Here, it is investigated how the function of such intrinsically disordered compositionally biased regions (ID-CBRs) is directly linked to their compositional traits, focusing on the well-characterized yeast (Saccharomyces cerevisiae) proteome as a test case. The ID-CBRs that are clustered together using compositional distance are discovered to have clear functional linkages at various levels of diversity. The specific case of the Sup35p and Rnq1p proteins that underlie causally linked prion phenomena ([PSI+] and [RNQ+]) is highlighted. Their prion-forming ID-CBRs are typically clustered very close together indicating some compositional engendering for [RNQ+] seeding of [PSI+] prions. Delving further, ID-CBRs with distinct types of residue patterning such as 'blocking' or relative segregation of residues into homopeptides are found to have significant functional trends. Specific examples of such ID-CBR functional linkages that are discussed are: Q/N-rich ID-CBRs linked to transcriptional coactivation, S-rich to transcription-factor binding, R-rich to DNA-binding, S/E-rich to protein localization, and D-rich linked to chromatin remodelling. These data may be useful in informing experimental hypotheses for proteins containing such regions.

Mechanisms and factors affecting the removal of minocycline from aqueous solutions using graphene-modified resorcinol formaldehyde aerogels

In recent years, concerns about the presence of pharmaceutical compounds in wastewater have increased. Various types of residues of tetracycline family antibiotic compounds, which are widely used, are found in environmental waters in relatively low and persistent concentrations, adversely affecting human health and the environment. In this study, a resorcinol formaldehyde (RF) aerogel was prepared using the sol–gel method at resorcinol/catalyst ratio of 400 and resorcinol/water ratio of 2 and drying at ambient pressure for removing antibiotics like minocycline. Next, RF aerogel was modified with graphene and to increase the specific surface area and porosity of the modified sample and to form the graphene plates without compromising the interconnected porous three-dimensional structure of the aerogel. Also, the pores were designed according to the size of the minocycline particles on the meso- and macro-scale, which bestowed the modified sample the ability to remove a significant amount of the minocycline antibiotic from the aqueous solution. The removal percentage of the antibiotic obtained by UV–vis spectroscopy. Ultimately, the performance of prepared aerogels was investigated under various conditions, including adsorbent doses (4–10 mg), solution pHs (2–12), contact times of the adsorbent with the adsorbate (3–24 h), and initial concentration of antibiotic (40–100 mg/l). The results from the BET test demonstrated that the surface area of the resorcinol formaldehyde aerogel sample, which included 1 wt% graphene (RF-G1), exhibited an augmentation in comparison to the surface area of the pure aerogel. Additionally, it was noted that the removal percentage of minocycline antibiotic for both the unmodified and altered samples was 71.6% and 92.1% at the optimal pH values of 4 and 6, respectively. The adsorption capacity of pure and modified aerogel for the minocycline antibiotic was 358 and 460.5 mg/g, respectively. The adsorption data for the modified aerogel was studied by the pseudo-second-order model and the results obtained from the samples for antibiotic adsorption with this model revealed a favorable fit, which indicated that the chemical adsorption in the rapid adsorption of the antibiotic by the modified aerogel had occurred.

An Innovative Therapy by Changing the Gut Microbiome for the Dual Post-Operative Complications of the Recurrent Methicillin-Resistant Staphylococcus aureus (MRSA) Infections in the Residual Type II First Branchial Cyst and Facial Nerve Palsy

A very unusual, interesting, and challenging case of a 24-year-old female who was born with three openings in the neck. The patient had chronic abdominal gaseous distention, recurrent abdominal pain, and constipation since early infancy. The patient presented in emergency with acute painful red, hot, and tender swelling in the left upper cervical area. Laboratory studies showed high inflammatory markers and a provisional diagnosis of abscess with a sinus was made. The patient underwent an emergency incision and drainage. Sinus recurred and a sinogram showed it to be a residual cyst in the left submandibular salivary gland. The total cyst excision was attempted with resultant recurrence and grade IV facial nerve palsy. Post-operatively recurrent infections caused by Methicillin-resistant Staphylococcus aureus (MRSA) required several courses of oral and intravenous broad-spectrum antibiotics with several hospital admissions with no resolution in sight. Subsequent ultrasound and magnetic resonance imaging showed a residual infected cyst, cutaneous sinus, and a fistula opening in the left ear canal. A diagnosis of branchial cyst type II of the first brachial cleft remnant with a fistula was established with bilateral branchial fistulas of the second branchial remnants and the associated colorectal hypoganglionosis based on radiological studies. The patient refused any further operative interventions. Therefore, the option of conservative treatment of hypoganglionosis with holobiotics consisting of prebiotics, probiotics and postbiotics, laxatives, dietary changes, lifestyle modifications, and dietary supplements started. All antibiotics were stopped. These therapies resulted in the resolution of residual first branchial remnants and recurrent MRSA infections with the improvement in the facial nerve palsy from grade IV to grade III-IV together with an excellent cosmetic and functional result. The patient is doing well at follow-ups being infection-free for 18 months and repeat contrast-enhanced computed tomogram (CECT) has shown complete resolution of the residual cyst, sinus, and fistula with fibrosis.

Нерастворимый остаток нижнепермских сильвинитовых пород западного и северо-западного обрамления Прикаспийской впадины

The paper presents the results of a study of the insoluble residue of sylvinites and sylvin-halite rocks of the Lower Permian halogen formation, common within the Perelyubsky areas (Western and Eastern), promising for industrial development (Saratov Region) and the Gremyachinsky potash deposit (Volgograd Region). A technique for studying the insoluble residue of sylvinites is presented. The types of insoluble residue are distinguished according to the form of occurrence in sylvinites and its mineral composition is characterized. The conditions for the formation of sylvine-bearing rocks are refined, taking into account the data obtained on the composition of the insoluble residue.

Insights into the selectivity of a brain-penetrant CDK4/6 vs CDK1/2 inhibitor for glioblastoma used in multiple replica molecular dynamics simulations

Cyclin dependent kinases (CDKs) play an important role in cell cycle regulation and their dysfunction is associated with many cancers. That is why CDKs have been attractive targets for the treatment of cancer. Glioblastoma is a cancer caused by the aberrant expression of CDK4/6, so exploring the mechanism of the selection of CDK4/6 toward inhibitors relative to the other family members CDK1/2 is essential. In this work, multiple replica molecular dynamics (MRMD) simulations, principal component analysis (PCA), free energy landscapes (FELs), molecular mechanics Poisson-Boltzmann/Generalized Born surface area (MM-PB/GBSA) and other methods were integrated to decipher the selectively binding mechanism of the inhibitor N1J to CDK4/6 and CDK1/2. Molecular electrostatic potential (MESP) analysis provides an explanation for the N1J selectivity. Residue-based free energy decomposition reveals that most of the hot residues are located at the same location of CDKs proteins, but the different types of residues in different proteins cause changes in binding energy, which is considered as a potential developmental direction to improve the selectivity of inhibitors to CDK4/6. These results provide insights into the source of inhibitor and CDK4/6 selectivity for the future development of more selective inhibitors. Communicated by Ramaswamy H. Sarma

Rational design of a cross-type HPV vaccine through immunodominance shift guided by a cross-neutralizing antibody

In vaccine development, broadly or cross-type neutralizing antibodies (bnAbs or cnAbs) are frequently targeted to enhance protection. Utilizing immunodominant antibodies could help fine-tune vaccine immunogenicity and augment the precision of immunization strategies. However, the methodologies to capitalize on the attributes of bnAbs in vaccine design have not been clearly elucidated. In this study, we discovered a cross-type neutralizing monoclonal antibody, 13H5, against human papillomavirus 6 (HPV6) and HPV11. This nAb exhibited a marked preference for HPV6, demonstrating superior binding activity to virus-like particles (VLPs) and significantly higher prevalence in anti-HPV6 human serum as compared to HPV11 antiserum (90% vs. 31%). Through co-crystal structural analysis of the HPV6 L1 pentamer:13H5 complex, we delineated the epitope as spanning four segments of amino acids (Phe42-Ala47, Gly172-Asp173, Glu255-Val275, and Val337-Tyr351) on the L1 surface loops. Further interaction analysis and site-directed mutagenesis revealed that the Ser341 residue in the HPV6 HI loop plays a critical role in the interaction between 13H5 and L1. Substituting Ser341 with alanine, which is the residue type present in HPV11 L1, almost completely abolished binding activity to 13H5. By swapping amino acids in the HPV11 HI loop with corresponding residues in HPV6 L1 (Ser341, Thr338, and Thr339), we engineered chimeric HPV11-6HI VLPs. Remarkably, the chimeric HPV11-6HI VLPs shifted the high immunodominance of 13H5 from HPV6 to the engineered VLPs and yielded comparable neutralization titers for both HPV6 and HPV11 in mice and non-human primates. This approach paves the way for the design of broadly protective vaccines from antibodies within the main immunization reservoir.

Structural Characterization and Anticoagulant Activities of a Keratan Sulfate-like Polysaccharide from the Sea Cucumber Holothuria fuscopunctata.

A sulfated polysaccharide (AG) was extracted and isolated from the sea cucumber H. fuscopunctata, consisting of GlcNAc, GalNAc, Gal, Fuc and lacking any uronic acid residues. Importantly, several chemical depolymerization methods were used to elucidate the structure of the AG through a bottom-up strategy. A highly sulfated galactose (oAG-1) and two disaccharides labeled with 2,5-anhydro-D-mannose (oAG-2, oAG-3) were obtained from the deaminative depolymerized product along with the structures of the disaccharide derivatives (oAG-4~oAG-6) identified from the free radical depolymerized product, suggesting that the repeating building blocks in a natural AG should comprise the disaccharide β-D-GalS-1,4-D-GlcNAc6S. The possible disaccharide side chains (bAG-1) were obtained with mild acid hydrolysis. Thus, a natural AG may consist of a keratan sulfate-like (KS-like) glycosaminoglycan with diverse modifications, including the sulfation types of the Gal residue and the possible disaccharide branches α-D-GalNAc4S6S-1,2-α/β-L-Fuc3S linked to the KS-like chain. Additionally, the anticoagulant activities of the AG and its depolymerized products (dAG1-9) were evaluated in vitro using normal human plasma. The AG could prolong activated partial thromboplastin time (APTT) in a dose-dependent manner, and the activity potency was positively related to the chain length. The AG and dAG1-dAG3 could prolong thrombin time (TT), while they had little effect on prothrombin time (PT). The results indicate that the AG could inhibit the intrinsic and common coagulation pathways.

Heat generation/absorption effect on natural convective heat transfer in a wavy triangular cavity filled with nanofluid

This study is numerically executed to investigate the influence of heat generation or absorption on free convective flow and temperature transport within a wavy triangular enclosure filled by the nanofluid taking the Brownian effect of nanoparticles. The water (H2O) is employed as base fluid and copper (Cu) as nanoparticles for making effective Cu–H2O nanofluids. The perpendicular sinusoidally wavy wall is cooled at low temperature while the horizontal bottom sidewall is heated non-uniformly (sinusoidal). The inclined wall of the enclosure is insulated. The governing dimensionless non-linear PDEs are executed numerically with the help of the Galerkin weighted residual type finite element technique. The numerically simulated results are displayed through average Nusselt number, isothermal contours, and streamlines for the various model parameters such as Hartmann number, Rayleigh number, heat generation or absorption parameter, nanoparticles volume fraction, and undulation parameter. The outcomes illustrate that the temperature transport rate augments significantly for the enhancement of Rayleigh number as well as nanoparticles volume fraction whereas reduces for the increment of Hartman number. The heat transfer is significantly influenced by the size, shape, and Brownian motion of the nanoparticles. The rate of heat transport increases by 20.43% considering the Brownian effect for 1% nanoparticle volume. The thermal performance increases by 8.66% for the blade shape instead of the spherical shape of nanoparticles. In addition, heat transfer is impacted by the small size of nanoparticles. The thermal transport rate increases by 35.87% when the size of the nanoparticles reduces from 100 to 10 nm. Moreover, the rate of heat transmission increases efficiently as the undulation parameter rises. It is also seen that a crucial factor in the flow of nanofluids and heat transmission is the heat generation/absorption parameter that influences temperature distribution, heat transfer rates, and overall thermal performance.

Multi-level framework for optimal operation of gasifier system utilising crop residues from small and medium-scale farms

Lack of techno-economic framework for optimal gasification and the identification of critical parameters for optimal operations is one of the major challenges restricting the gasification of crop residues. This study aims to develop an optimal techno-economic framework for the gasification of crop residues from clustered small/medium-scale farms. The developed model was applied to a case study in Adiembra, a farming community for a 10-kW gasifier engine system. Eight scenarios of individual feedstock and their blends were considered. The results revealed specific fuel consumption ranging from 1.79 – 3.53 kg/kWh. The economic analysis showed marginal profitability except for rice husk and straw which are not profitable. At the current grid electricity price, the minimum level of subsidies required to ensure the financial viability of the feedstocks is within the range of 30 – 70 % of the investment cost based on the various feedstock scenarios considered. The study revealed individual feedstocks with the best technical and economic prospects for optimal gasification to be cocoa pod husk, maize stalk and husk, maize cobs, rice straw and rice husk in the order of best to worst. The use of feedstock blends generally improved the overall syngas characteristics and financial viability. A total number of farms ranging between 107 – 532 are required to be clustered within a radius of 0.74 – 2.12 km with a cluster radius greater than 3.91 km not being financially viable. The fraction of each feedstock type in the blends were optimised with corresponding increase in syngas generation within the range of 9 – 35 % and decrease in the required number of farms within the range of 30 – 57 %. The outcome of the study demonstrates that sustainable gasification of crop residues for minigrid electricity generation requires co-gasification of various residue types, valorisation of by-products and increase in the current feed-in-tariff rate in Ghana.

DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model.

Identifying the functional sites of a protein, such as the binding sites of proteins, peptides, or other biological components, is crucial for understanding related biological processes and drug design. However, existing sequence-based methods have limited predictive accuracy, as they only consider sequence-adjacent contextual features and lack structural information. In this study, DeepProSite is presented as a new framework for identifying protein binding site that utilizes protein structure and sequence information. DeepProSite first generates protein structures from ESMFold and sequence representations from pretrained language models. It then uses Graph Transformer and formulates binding site predictions as graph node classifications. In predicting protein-protein/peptide binding sites, DeepProSite outperforms state-of-the-art sequence- and structure-based methods on most metrics. Moreover, DeepProSite maintains its performance when predicting unbound structures, in contrast to competing structure-based prediction methods. DeepProSite is also extended to the prediction of binding sites for nucleic acids and other ligands, verifying its generalization capability. Finally, an online server for predicting multiple types of residue is established as the implementation of the proposed DeepProSite. The datasets and source codes can be accessed at https://github.com/WeiLab-Biology/DeepProSite. The proposed DeepProSite can be accessed at https://inner.wei-group.net/DeepProSite/.

Debranch-First Technique with Zone 0 Elephant Trunk for Redo Operation of Residual Type B Aortic Dissection: The Completion of Aortic Proximalization.

This article presents a straightforward hybrid arch technique for treating residual type B aortic dissecting aneurysms following type A repair (replacement of the ascending aorta) that employs a frozen elephant trunk (FET) straight vascular prosthesis. The debranch-first method involves only cutting and sewing the previous ascending graft, inserting the FET from zone 0, and debranching the arch vessels using a trifurcated graft. This technique is less invasive as it eliminates the need to manipulate the dissected distal arch aneurysm. We successfully applied this technique to 3 patients, with no instances of in-hospital death, stroke, or paraplegia. The debranch-first technique, combined with zone-0 FET insertion, simplifies the redo repair of residual type B aortic dissection.

Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency.

Protein loops play a critical role in the dynamics of proteins and are essential for numerous biological functions, and various computational approaches to loop modeling have been proposed over the past decades. However, a comprehensive understanding of the strengths and weaknesses of each method is lacking. In this work, we constructed two high-quality datasets (i.e. the General dataset and the CASP dataset) and systematically evaluated the accuracy and efficiency of 13 commonly used loop modeling approaches from the perspective of loop lengths, protein classes and residue types. The results indicate that the knowledge-based method FREAD generally outperforms the other tested programs in most cases, but encountered challenges when predicting loops longer than 15 and 30 residues on the CASP and General datasets, respectively. The ab initio method Rosetta NGK demonstrated exceptional modeling accuracy for short loops with four to eight residues and achieved the highest success rate on the CASP dataset. The well-known AlphaFold2 and RoseTTAFold require more resources for better performance, but they exhibit promise for predicting loops longer than 16 and 30 residues in the CASP and General datasets. These observations can provide valuable insights for selecting suitable methods for specific loop modeling tasks and contribute to future advancements in the field.

Management of complex thoracic aortic diseases with aberrant right subclavian artery.

We retrospectively evaluated early and intermediate outcomes of hybrid repair of complex thoracic aortic diseases involving an aberrant right subclavian artery. This paper aims to report features and available treatment options for this rare, hard-to-diagnose, and manage, aorta-related vascular condition. Between January 2012 and May 2019, 13 patients (mean age, 60.1 ± 9.3years; nine men) underwent complex thoracic aorta repair surgery. Six patients had a thoracic aortic aneurysm, two had type A aortic dissection, and five had complicated type B aortic dissection. Hybrid repair strategies included de-branching in combination with single-stage aortic arch replacement with the frozen elephant trunk technique performed in four patients, thoracic endovascular aortic repair in six patients, and 2-stage hybrid repair consisting of a total arch replacement with a conventional/frozen elephant trunk (first stage) and subsequent endovascular repair (second stage) in three patients. One early death occurred: a patient with acute type A aortic dissection, who underwent Bentall procedure and aortic arch replacement with the frozen elephant trunk technique, died in-hospital of multiorgan failure 41days after the procedure. The remaining 12 patients were discharged in stable condition. The median follow-up duration was 36months (2-71months). Two late mortalities occurred: a patient with residual type A aortic dissection, who underwent arch replacement with the frozen elephant trunk technique, died of intracranial hemorrhage 3months after the surgery. And 72years old female patient died of acute exacerbation of chronic obstructive pulmonary disease 2months after the surgery. Our study indicates that various hybrid strategies can be used to treat complex thoracic aortic diseases involving an aberrant right subclavian artery. The approach of choice depends on the features of disease pathology, the aortic segments involved, and the operating surgeon's experience.

Textile residue-based mycelium biocomposites from Pleurotus ostreatus

ABSTRACT The research on mycelium-based biocomposites is increasing exponentially, due to their ability to be produced from renewable and sustainable substrates. In this sense, the present investigation explores the ability of Pleurotus ostreatus to grow on textile residues and form mycelium-based biocomposites. The mycelium was able to grow on four types of textile residues including white and coloured cotton and polyester mixtures and acted as a binder between the textile fibres. The growth of fungal mycelium was assessed using Fourier transform infrared spectroscopy to detect the presence of amides and polysaccharides arising from fungal mycelium and scanning electron microscopy, dry weight and water activity. The compressive strength of textile residue-based biocomposite was also measured and it was found to be between 100 and 270 kPa. Overall, a lightweight biocomposite was obtained which could be a potential alternative for polystyrene-based products. These findings show the ability of the fungus to thrive on polyester plastic in textiles and provide an alternative for converting this plastic material into bio-based materials. Additionally, by varying the mycelium growth, the plasticiser and stiffness properties of the resultant biocomposite can be changed. This research paves the way for the efficient conversion of textile waste into biocomposites as alternatives for plastic packaging products.

Optimal-Control-Based Cβ Chemical Shift Encoding for Efficient Signal Assignment of Solid Proteins.

Fast magic-angle spinning (MAS) solid-state NMR spectroscopy is a powerful tool for gaining structural and dynamic information on solid proteins. To access such information site-specifically, the signal assignment process is unavoidable. In the assignment process, Cα and Cβ chemical shifts are of paramount importance in identifying the type of amino acid residues. Conventionally, however, recording the Cβ chemical shift of solid proteins with relatively short transverse relaxation time is often limited by the long delay required for the magnetization transfer to Cβ spins and its evolution, that is, by the sensitivity drop. In this article, we propose a new method that encodes the Cβ chemical shifts onto the intensities of the scalar-coupled Cα signals by combining an optimal control-based spin manipulation pulse and a spin-state filter. This reduces the total required transverse evolution to less than half of that for the previously proposed method, opening up the concept of the Cβ-encoding nearest-neighbor NMR, for the first time, to solid proteins. Also, the total measurement time was shorter than that required for the explicit Cβ shift evolution. We demonstrate the sequential signal assignment for microcrystalline protein GB1, and then discuss the prospects for more challenging proteins.

Revealing the Extent of Pesticide Runoff to the Surface Water in Agricultural Watersheds

Pesticides are beneficial in protecting crops from pests and improving agricultural productivity; however, concerns on pesticide pollution in water have increased due to their indiscriminate use and lack of adequate regulations. Many studies have focused on the risks of pesticides considering the limited number and types of pesticide residues in crops and soils, and duration, and very few have focused on surface water throughout the year. Therefore, this study comprehensively identified 308 pesticides in surface water samples collected monthly over one year in the Saemangeum Basin, Korea. Both targeted and non-targeted analyses were used to identify 171 and 24 pesticides, respectively. Results highlight the extensive extent of pesticide contamination. Among the quantified pesticides, bromobutide and pretilachlor consistently exhibited high concentrations and risk levels, as indicated by their elevated risk quotient (RQ) values. Seasonal variations in pesticide concentrations revealed distinct patterns with intensified herbicide use during summer and increased insecticide concentrations during autumn. This study highlights the presence, distribution, and associated ecological risks of pesticides in surface waters, emphasizing the necessity of comprehensive monitoring and regulatory measures to protect aquatic ecosystems. The high RQ values identified for specific pesticides underscore the urgent need to implement effective strategies to mitigate these environmental risks.

Soil carbon mineralization, enzyme activities, and crop residue decomposition under varying soil moisture regimes

AbstractIn the Lower Mississippi River Basin, farmlands are flooded in late fall and winter by impeding drainage to provide a habitat for migratory birds stopover. A laboratory incubation study was conducted to study the influence of temporary wetting of these soils on carbon (C) and nitrogen (N) mineralization from residue decomposition. Surface soils (0–15 cm) were collected from fields with clay and silty clay loam soils. Both soils were incubated with five crop residues—corn (Zea mays), soybean (Glycine max), cotton (Gossypium hirsutum), sorghum (Sorghum bicolor), and sweet potato (Ipomea batatus)—at 50% and 100% water holding capacity (WHC). Soil carbon dioxide (CO2) efflux was measured during 74 days of incubation. Soil moisture had the largest effect on soil CO2 efflux and most of the enzyme activities followed by residue and soil type. Cumulative soil CO2 efflux was reduced by 46% at 100% WHC compared to 50% WHC. Clay soil had higher cumulative CO2 efflux, aryl sulfatase, aryl phosphatase, and β‐N‐acetyl glucose aminidase activities than silty clay loam soil. Residue type had the largest effect on post‐incubation soil inorganic‐N, remaining biomass, and residue C and residue N. Sweet potato residue had the lowest remaining biomass, significantly lower than cotton, corn, and sorghum, but statistically similar to soybean. After incubation, residue N concentration had a positive association with cumulative CO2 efflux and a negative association with remaining residue biomass percentage. Winter flooding might limit the loss of soil C as CO2 depending on the crops grown and soil type.

Functionalized nanofibers mat prepared through thiol–ene “click” reaction as solid phase extraction adsorbent for simultaneous detection of florfenicol and paracetamol residues in milk

Due to the significant differences in physical and chemical properties of various veterinary drugs, sample pretreatment is still the bottleneck of simultaneous detection of multiple veterinary drug residues. In order to achieve quantitative determination of two different types of veterinary drug residues (florfenicol and paracetamol) in milk, 1-allyl-3-methylimidazolium chloride (AmimCl) functionalized nanofibers mat (AmimCl-NFsM) was prepared through thiol-ene “click” reaction and applied as a new solid phase extraction adsorbent. The preparation parameters were systematically investigated and optimized through dynamic adsorption experiments. The developed method achieved significant extraction and purification efficiency, which was attributed to the multiple adsorption mechanisms of AmimCl-NFsM. Under the optimal condition, the established method showed low detection limit (1.25–2.90 ng/mL), high precision (RSDs ≤ 12.6 %) and good recovery (76.4 %–96.1 % with RSDs ≤ 5.23 %). The obtained results demonstrated the practical application value of the established method in food safety field.

Cover crop residue quality regulates litter decomposition dynamics and soil carbon mineralization kinetics in semi-arid cropping systems

Cover crop residue addition provides several soil health benefits and serves as a precursor for storing soil organic carbon (SOC). However, information on residue decomposition dynamics and its contribution to soil carbon (C) and nitrogen (N) cycling in arid and semi-arid environments is limited. This study evaluated cover crop residue decomposition in field conditions and C mineralization kinetics in laboratory conditions. For the field experiment, approximately 20 g of Austrian winter pea (Pisum sativum subsp. arvense L.), turnip (Brassica rapa subsp. rapa L.), and triticale (×Triticosecale Wittmack) cover crop residues were kept in litter bags and placed on the soil surface before subsequent forage sorghum (Sorghum bicolor L. Moench) planting in ongoing cover crops study plots. Litter bags were collected every other week (12 destructive samplings) to evaluate the remaining dry matter and C and N contents. The decomposition data were plotted with first order kinetics and exponential models to describe the model fit. To study C mineralization kinetics, a 10-week incubation was set up in a laboratory with Austrian winter pea, turnip, and triticale cover crops and native grass, wheat, and sorghum residues. Carbon mineralization rates were evaluated with three statistical models (first order kinetics and single and double exponential). The exponential model best described the cover crop residue decomposition kinetics in the field. After 98 days, the residue decomposition was higher with Austrian winter pea (47 %), followed by turnip and triticale with ∼40 % biomass decomposition. Residue types and quality both affected the decomposition rates. The C mineralization rate correlated with initial N content (r = 0.87, P < 0.05), C: N ratio (r = −0.88, P < 0.05), and lignin: N (r = −0.87, P < 0.05). While the single exponential model explained field decomposition dynamics, the double exponential decay model best fitted the observed C mineralization trend among the three models. The decay models from our study can be applied to estimate the decomposition dynamics of other winter cover crop residues in similar agroecosystems. This study demonstrated that selecting suitable cover crops and mixtures is critical for maximizing soil C sequestration and N availability in subsequent crops in cover crop-integrated semi-arid cropping systems.

Inhibition of continuous cropping obstacle of celery by chemically modified biochar: An efficient approach to decrease bioavailability of phenolic allelochemicals

The accumulation of allelochemicals released by plants is commonly found in continuous monocropping systems. These chemicals, such as phenolic acids, were shown to be the major sources of autotoxin or pathogen accumulation in soils, leading to a direct or indirect continuous cropping obstacle. In this study, three types of agricultural residuals, i.e., rice husk, tea waste, and wood meal, were chosen as feedstocks. Biochar samples were prepared from these feedstocks to examine their abilities to remove gallic acid, a representative phenolic acid. Biochar, which was prepared from wood meal soaked with H3PO4 (1:1.5, w/w) and pyrolyzed at 400 °C (symbolized as WP400), exhibited the highest adsorption capacities of gallic acids and other phenolic acids. The mechanisms of phenolic acid removal by WP400 were evaluated via experimental and spectroscopic investigations to elucidate the notable adsorption capacity of WP400. The adsorption of gallic acids was pH-dependent and followed a pseudo-second-order kinetic model. The combination of high surface area, the existence of O-containing groups, and the enhancement of H bonds between CC groups and phenolic acids may contribute to the high adsorption capacity of WP400. In a pot experiment, we found that celery growth was promoted with the addition of 0.3% (w/w) WP400 to soils that were continuously monocropped with celery. A large decrease in the water-soluble phenolic compound by more than 40% may be responsible for the results. However, WP400 scavenged nitrate, and this study showed that the synergistic actions of WP400 and nutrients exhibited the greatest efficiencies in mitigating the continuous cropping obstacles of celery.