Single-factor Experiments Research Articles

Analysis of the Control Effect of Bacillus amyloliquefaciens C4 Wettable Powder on Potato Bacterial Wilt Caused by Ralstonia solanacearum

Potatoes are one of the most important food crops worldwide, but their growth and development are often seriously threatened by potato bacterial wilt. The wettable powder produced by Bacillus amyloliquefaciens C4 under optimized fermentation conditions effectively inhibits potato bacterial wilt. In this study, lipopeptide antibiotics were identified via PCR and MALDI-TOF-MS, and their antibacterial activity was determined. The optimal formulation of C4 wettable powder was optimized via a single-factor experiment combined with a response surface. The effect of C4 wettable powder on potato bacterial wilt was evaluated. In the antibacterial activity test, surfactin showed better inhibition ability. After determining the optimal liquid fermentation conditions and wettable powder formula, the surfactin activity increased to 540.15 mg/L, and the C4 wettable powder activity reached 69.67 × 108 cfu/g. The results of the pot experiment showed that the best cost-effectiveness was achieved under 500 times dilution and spraying, with a control effect of 79.05 ± 24.79%. The physiological and biochemical results showed that C4 wettable powder could induce rapid defense enzyme responses in leaves and enhance plant resistance to pathogenic bacteria. The results showed that C4 wettable powder effectively controlled potato bacterial wilt, and its application method was determined.

Experimental and numerical optimization study on CNTs/Al composites drilling based on response surface methodology

Carbon nanotube reinforced aluminum (CNTs/Al) composites have been widely used in the aviation field due to their excellent properties, but there are still problems in their drilling, such as unclear damage mechanisms and poor hole quality. This study investigates the removal mechanism of CNTs/Al composites during drilling by finite element simulation and single factor experiments, and the impact of process parameters on hole wall morphology and the quality of the entrance edge is revealed. Optimal process parameter combinations are determined based on the response surface methodology (RSM) and multiobjective optimization via the NSGA-II genetic algorithm, with method verification. The results show that during the drilling process of CNTs/Al composites, CNTs primarily experience fragmentation, rebound, and pull-out, while the Al matrix exhibits partial tearing and interfacial separation. The coating of the Al matrix and CNT agglomeration contribute to defects like burrs and microcracks. Entrance damage is notably more severe than exit damage, characterized by higher tearing factor values, longer side burrs, and increased trajectory scratch areas. The main process parameter that affects surface roughness and entrance tear is feed rate. The results of multiobjective optimization are n = 3830 r/min, f = 0.0674 m/min, h = 2.0558 mm, with Ra = 6.327 μ,m and LD1 = 1.01732. Experimental validation shows Ra = 6.331 μm and LD1 = 1.01743, with errors of 0.063% and 0.011%, respectively.

Study on orthogonal experiments in synergistic ultrasound-assisted adsorption of Cu2+ by thermal modified fly ash

ABSTRACT Sodium carbonate (Na2CO3) was employed to thermally modify the fly ash at elevated temperatures. The modified fly ash was subjected to characterization to validate its enhanced adsorption capacity. Moreover, in contrast to conventional methods such as static, stirring, and oscillation, an ultrasound-assisted approach was adopted to facilitate the adsorption of Cu2+ by the thermal modified fly ash (TFA). A comprehensive set of single-factor experiments and orthogonal experiments were conducted to investigate the influence of six common factors on fly ash adsorption. The optimal adsorption conditions within the experimental range were determined as follows: ultrasound time of 40 minutes, ultrasound temperature of 40°C, ultrasound power of 100W, pH value of 5, TFA dosage of 0.50 g/L, and initial Cu2+ concentration of 50 mg/L. Under these optimized conditions, the Cu2+ adsorption capacity reached 13.64 mg/g. This study investigated the modification methods, adsorption mechanisms, and adsorption conditions of fly ash in relation to Cu2+ adsorption, providing a valuable experimental basis and reference for the application of fly ash in the field of adsorption.

Preparation and Hypoglycemic Effect of Magnolia Officinalis Polysaccharide Oral Liquid.

In this paper, an oral liquid containing Magnolia officinalis polysaccharide was formulated and its hypoglycemic effects were investigated. An orthogonal test was conducted based on single-factor experiments to optimize the formulation guided by sensory evaluations. Its stability and safety were also assessed. The oral liquid was administered via gavage to STZ-induced diabetic mice at low (2.5mL/kg), medium (5mL/kg) and high (10mL/kg) doses. Blood glucose levels were monitored weekly. After 8weeks of treatment, the oral glucose tolerance test (OGTT) was performed and fasting insulin levels, lipid profiles, oxidative stress levels in serum and liver, and the activities of hexokinase (HK) and pyruvate kinase (PK) in the liver were measured. Results indicated that the optimal formulation contained 0.2% steviol glycosides, 0.2% ascorbic acid, a pH of 5.0, and 0.5% ginger juice, yielding a sensory evaluation score of 94 ± 0.58. The oral liquid remained stable at room temperature for 12months and passed acute oral toxicity testing. After 8weeks, diabetic mice exhibited a significant reduction in blood glucose levels (P < 0.01), enhanced glucose metabolism, increased fasting insulin levels, and decreased lipid levels. Additionally, antioxidant capacity improved, and HK and PK activities increased significantly in the diabetic mice. In conclusion, the Magnolia officinalis polysaccharide oral liquid demonstrated potential antidiabetic effects by promoting glucose utilization in peripheral tissues, increasing fasting insulin levels, and enhancing antioxidant capacity alongside HK and PK activities. This formulation could represent a promising hypoglycemic health product.

In-depth analysis of active compounds targeting tropomyosin-related kinase A via constructed lipid raft @capillary monolith affinity chromatography.

In order to enrich the selection of biological ligands, realize the miniaturization analysis, and broaden the application of monolith materials for active ingredients screening and separating, we sough to construct a lipid raft @capillary monolith microcolumn affinity chromatography model. Single factor experiments and various characterization methods, including scanning electron microscopy (SEM) and thermogravimetric analysis, were employed to investigate the polymerization of the monolith column under different material ratios to determine optimal preparation conditions. Subsequently, the lipid raft from U251 cells was integrated with the monolith materials based on epoxy-based covalent crosslinking principle and characterized through SEM and immunofluorescence methods. Afterwards, the retention of positive drug gefitinib, negative drug gemcitabine and four licorice standards solution on the prepared lipid raft monolith microcolumn was then detected via electrochemical detection. The results exhibited that there was no specific adsorption for any active compounds on the blank monolith materials. Significantly, the lipid raft monolith microcolumn packed with TrkA-target proteins could be successfully validated for positive drug gefitinib with a high affinity sorption efficiency of 51.2%. This work expands the range of the utilization of affinity chromatography carriers and the selection of biological ligands, providing a new idea for the screening of active ingredients.

Performance study and effect mechanism of red mud manufactured sand foam concrete using a single-factor experiment

Performance study and effect mechanism of red mud manufactured sand foam concrete using a single-factor experiment

A grinding force prediction model and experimental validation for ultrasonic-assisted end grinding of 2.5D C/SiC composites

In this work, a grinding force predictive model is proposed for processing 2.5D carbon fibre-reinforced silicon carbide matrix composites (C/SiCs) using ultrasonic-assisted end grinding (UAEG). The coupling effects of process parameters on prediction results are explored, and the influence of processing parameters on forces is analyzed from the theoretical perspective. In the modelling process, the anisotropy of the 2.5D C/SiCs, the motion path of the end-face grits, and the grit-workpiece interaction stages were fully considered. According to the material’s removal properties, the interaction of the grit-workpiece was classified into different stages. The proposed model can be derived by considering the forces at different contact stages. To evaluate the model’s reliability, single-factor experiments were conducted to assess its prediction accuracy. The results of validation with experiments demonstrated that the maximum error of the model was less than 12 %, and the average error was only 6.23 %.

Effect of extraction conditions on antioxidant activities of Xanthium strumarium L. sprouts extracts

This research aims to obtain the Xanthium strumarium sprouts extract with the most potent antioxidant activities. The single-factor experiments were used to extract. Factors of extraction, including temperatures (40, 50, 60, and 70°C), time (6, 8, 10, 20, and 30 minutes), and % ethanol in solvent (40, 50, 60, and 70 % EtOH), were applied in the ultrasonic assist extraction of 40°C oven-dried Xanthium strumarium sprouts 1 gram in 25 mL of solvent. Extraction yield (% yield) and % inhibition of active radical DPPH and ABTS were determined, and the correlation to varied factors was analyzed using a statistical program (SPSS). The results showed that, at low temperatures, it would give a low % yield but not affect antioxidant activities. The longer extraction time did not provide a different % yield than the shorter one. The extraction yield is a little better when 50% ethanol is used in water as a solvent and does not affect antioxidant activities. As they observe, we can conclude that the antioxidant activities of extracts do not depend on temperature, time, or % EtOH in solvents. The % inhibition of ABTS radicals is higher than that of DPPH radicals in all experiments, and it can be relied on that the active components in this extract are more polar and favorable to solute in water than EtOH.

Determination of the appropriate extraction method for bound aroma compounds from strawberry and analysis of aroma substances in strawberry fruits of different varieties and developmental stages.

Strawberries are rich in unique aroma substances, which include bound and free aroma compounds. Unlike the free aroma, the appropriate extraction and analytical methods for bound aroma compounds in strawberries remain unclear. In the present study, we compared three extraction methods for bound aroma compounds of strawberries and performed the single factor experiment for optimizing the hydrolysis method, process parameters, and response surface analysis. The following optimal process conditions were obtained for extracting bound aroma precursor compounds by the Cleanert PEP column: (1) column flow rate of 1mL/min; (2) dichloromethane: pentane eluent ratio of 7:1; and (3) ethyl acetate: methanol retention solution ratio of 3:1. The bound aroma precursor compounds were enzymatically hydrolyzed at 38°C for 48h and finally detected by GC-MS. The results showed that HY strawberries at red fruit stages had the most abundant aroma content and types, and different varieties had different aroma types.

Fe/Mn-MOF-driven rapid arsenic decontamination: Mechanistic elucidation of adsorption processes and performance optimization

Arsenic pollution in water poses a serious threat to the natural environment and human society, making the development of efficient adsorbents for arsenic removal an urgent necessity. Therefore, Fe/Mn bimetallic MOF materials with different ratios were simply prepared using a hydrothermal method. Among them, Fe/Mn-MOF (1:1) exhibited excellent adsorption effects for As (III) and As (V), with maximum theoretical adsorption capacities of 344.14 mg/g and 228.79 mg/g, respectively, outperforming the original MIL-88 A material. Single-factor experiments showed that Fe/Mn-MOF (1:1) could efficiently remove As (III) and As (V) within 30 min. The pH value and interfering ion concentration affected the adsorption behavior of As (III), but had little effect on the adsorption behavior of As (V). After five regeneration cycles, Fe/Mn-MOF (1:1) still maintained excellent arsenic removal efficiency. The adsorption mechanism was explored through characterization methods and the results indicated a strong coordination interaction (M-O-As) between arsenic and Fe/Mn-MOF (1:1), while Fe and Mn facilitated the conversion of As (III) to As (V).

Optimization of polysaccharide extraction from pumpkin seeds using ultrasonic-assisted enzymatic method

This study aimed to optimize the extraction process of polysaccharides from seed pumpkins. Following initial single-factor experiments, the extraction process using ultrasonic-assisted enzymatic method was optimized through orthogonal experiments. Further optimization of extraction conditions was conducted using response surface methodology with Box-Behnken design, ultimately identifying the optimal extraction parameters. Additionally, 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging assay, monosaccharide component analysis, polysaccharide molecular weight measurement, and NMR analysis were performed. Results indicated that ultrasonic-assisted enzymatic extraction significantly enhanced the yield of polysaccharide, reaching up to 43.65%. The findings confirm that the combined use of enzymatic hydrolysis and ultrasonication is an effective strategy for polysaccharide extraction.

Experimental Investigation and Modeling of Surface Roughness in BTA Deep Hole Drilling with Vibration Assisted.

The surface roughness of hole machining greatly influences the mechanical properties of parts, such as early fatigue failure and corrosion resistance. The boring and trepanning association (BTA) deep hole drilling with axial vibration assistance is a compound machining process of the tool cutting and the guide block extrusion. At the same time, the surface of the hole wall is also ironed by the axial large amplitude and low-frequency vibration of the guide block. The surface-forming mechanism is very complicated, making it difficult to obtain an effective theoretical analytical model of the surface roughness of the hole wall through kinematic analysis. In order to achieve accurate prediction of the surface quality of the hole wall, the chip-breaking mechanism and the hole wall formation mode of BTA deep hole vibration drilling were analyzed. The influence of drilling spindle speed, feed, amplitude, and vibration frequency on the surface roughness of the hole wall during BTA deep hole vibration drilling was illustrated by a single-factor experiment. A four-factor and three-level test scheme was designed by using the Box-Behnken design (BBD) experimental design method. A surface roughness prediction model for hole wall machining was established based on the response surface methodology. The accuracy of the prediction model was analyzed through ANOVA, and the complex correlation coefficient of the model was 0.9948, indicating that the prediction model can better reflect the mapping relationship between vibration drilling parameters and surface roughness. After optimization analysis and experimental verification, the obtained vibration drilling parameters can achieve smaller surface roughness. The error between the predicted value of the model and the experimental measurement value is 8.65%. The established prediction model is reliable and can accurately predict the surface roughness of the hole wall of BTA deep hole axial vibration drilling, providing a theoretical basis for the surface quality control of the machining hole wall. It can be applied to process optimization in practical production.

Optimization of fermentation conditions and blending process of fairy bean in North Anhui Province

Functional fermentation strains were isolated and screened from traditional fairy beans in northern Anhui. Through technical identification, Bacillus subtilis SXD06 was determined to be the superior fermentation strain, while Wickerhamomyces anomalus YE006 was identified as the optimal aroma-producing yeast. Utilizing single-factor experiments and response surface optimization, a Central Composite Design fermentation and blending model was established. The optimal fermentation conditions were determined to be: an inoculation amount of 1.1% for Bacillus subtilis SXD06, an inoculation amount of 4.2% for Wickerhamomyces anomalus YE006, and a fermentation temperature of 34 °C, Fermentation lasted 84.2 h. SDS-PAGE electrophoresis comparison between control and sample groups indicated effective fermentation, with most fairy beans converting to amino acids. Optimal conditions were identified as 5.5% salt, 0.26% star anise powder, 0.25% cinnamon, 1.5% pepper, 4.5% edible alcohol, and 0.28% fragrant leaves. The sensory evaluation of soybean products produced under the specified conditions yielded the highest scores. This study offers robust technical support for the development of low-ammonia, high-quality fairy bean products that align with consumer preferences.Graphical abstract

Study on Slipform Paving of Concrete Containing Alkali-Free Accelerators on Roadway Floor.

Aiming at the problems of collapse, deformation, and displacement in the concrete paving of roadway floors, this paper adopts the way of adding alkali-free accelerators to the concrete on both sides, through mechanical analysis, single factor experiment, orthogonal experiment, and polynomial fitting method, and determines the relevant parameters of concrete and accelerators in the sliding form paving of roadway floor from two aspects of paving material and size. The results show that the FSA-AF alkali-free liquid accelerator is more suitable for roadway floor paving than the J85 powder accelerator. When the FSA-AF accelerator dosage reaches 8%, the decreasing trend of initial setting time curve tends to be flat. The deformation resistance of concrete containing accelerator is positively correlated with the dosage of the accelerator. Concrete side pressure is positively correlated with pavement paving height. The FSA-AF accelerator can reduce the compressive strength of concrete; the compressive strength and retention rate of concrete at all ages are the highest when the dosage of FSA-AF is 7%. A water-cement ratio of 0.4 and a 9% dosage of accelerator are the optimal combination to meet the four evaluation indexes. According to the width estimation formula, the width of the side concrete should be set to 14 cm.

Optimization of Rosa roxburghii Tratt pomace fermentation process and the effects of mono- and mixed culture fermentation on its chemical composition

BackgroundRosa roxburghii Tratt pomace (RRTP) contains valuable components like polyphenols and polysaccharides, which have high utilization value. Fermentation is an effective technique for creating beneficial nutrients that can improve the taste, appearance, and nutritional benefits of foods. Nevertheless, there is a lack of research on the alterations in chemical composition of RRTP during fermentation.Objective and MethodsThis study aimed to ferment RRTP using Bacillus subtilis and Saccharomyces cerevisiae to improve its chemical composition. The optimal fermentation conditions for RRTP were determined through single-factor experiments and Box–Behnken design (BBD). Total phenols, total flavonoids, total triterpenes, ellagic acid, and vitamin C levels were higher in the fermented group with different strains and in the optimized group with mixed bacteria post-fermentation compared to the uninoculated group. Fermentation with different strains led to an increase in the ABTS radical scavenging capacity, DPPH radical scavenging capacity, and total antioxidant capacity (T-AOC) of RRTP.ConclusionThe HPLC-ESI-Q-Exactive Plus Orbitrap-MS method identified 20 compounds before fermentation and 34 compounds after optimized fermentation with mixed bacteria. The levels of polyphenols, flavonoids, and triterpenoids increased after the optimization with mixed bacteria. This research offers a potential approach to enhance the nutritional profile of RRTP and utilize it for the production of high-value food or feed materials.

Preparation of Antioxidant Peptides from Chicken Bone Proteins and the Influence of Their Compositional Characteristics on Antioxidant Activity.

Antioxidants play an important role in maintaining health and enhancing food stability by neutralizing free radicals. This study aimed to extract antioxidant peptides from white-feathered chicken bones through enzymatic hydrolysis, optimize the enzymatic hydrolysis conditions, and further investigate the relevance between the amino acid composition, molecular weight, and antioxidant activity of the resulting chicken bone hydrolysate. Alcalase was the most effective enzyme for hydrolyzing cooked chicken bones compared with papain, pepsin, and trypsin, yielding hydrolysates with the highest DH and ABTS radical scavenging activity. The enzymatic conditions were optimized using single-factor experiments and response surface methodology (RSM). The optimal conditions were a substrate concentration of 10%, an enzyme-substrate ratio of 502.75 U/g, a hydrolysis temperature of 48.48 °C, and a hydrolysis time of 1.13 h. Under these conditions, the ABTS radical scavenging activity reached 83.43%. Amino acid composition analysis revealed that peptides from chicken bones were rich in glycine, glutamic acid, alanine, proline, and aspartic acid, which were associated with antioxidant functions. Among these peptides, those with a molecular weight below 3 kDa exhibited the highest antioxidant effects through membrane filtration. In summary, chicken bone hydrolysate exhibits potent antioxidant activity, nominating them for potential application as natural antioxidants investible in novel functional foods and pharmaceuticals.

Ultrasound-Assisted Enzymatic Extraction and Physicochemical Properties of Soluble Dietary Fiber from Soy Sauce Residue

There are millions of tons of fresh soy sauce residue (SSR) by-products created by China’s soy sauce industry every year. Most of the SSR is directly discarded; this not only wastes resources, but also pollutes the environment. As it is rich in dietary fiber, which is beneficial to human health, skimmed SSR was used as a raw material to obtain soluble dietary fiber (SDF) in this study. Firstly, the process of ultrasonic-assisted enzymatic extraction of SDF was optimized through single factor experiments and a response surface test. The extraction rate of the SDF from SSR reached 76.8 ± 0.8% under the optimum extracting conditions of a cellulase/hemicellulase (w/w) 1/1 mixture, an enzyme addition amount of 5.7%, a material–liquid ratio (w/v) of 1/20 g/mL, and a reaction time of 30 min. Then, the physicochemical properties of the SDF extracted using enzymatic and chemical methods were compared; we found that the SDF obtained through ultrasound-assisted enzymatic extraction had a much better appearance and physicochemical properties than that extracted by acid or alkali, with a lighter color, higher extraction rate, higher water-holding capacity, higher oil-holding capacity, higher swelling capacity, and solubility. The microstructure was more uniform and porous. This study will provide theoretical guidance and technical support for the recycling and utilization of SSR, which is beneficial for improving its economic value.

The Nitrogen Removal Characteristics of a Novel Salt-Tolerant Bacterium, Enterobacter quasihormaechei DGFC5, Isolated from Municipal Sludge.

A novel bacterial strain, Enterobacter quasihormaechei DGFC5, was isolated from a municipal sewage disposal system. It efficiently removed ammonium, nitrate, and nitrite under conditions of 5% salinity, without intermediate accumulation. Provided with a mixed nitrogen source, DGFC5 showed a higher utilization priority for NH4+-N. Whole-genome sequencing and nitrogen balance experiments revealed that DGFC5 can simultaneously consume NH4+-N in the liquid phase through assimilation and heterotrophic nitrification, and effectively remove nitrate via aerobic denitrification and dissimilatory reduction reactions. Single-factor experiments were conducted to determine the optimal nitrogen removal conditions, which were as follows: a carbon-to-nitrogen ratio of 15, a shaking speed of 200 rpm, a pH of 7, C4H4Na2O4 as the carbon source, and a temperature of 30 °C. DGFC5 showed efficient nitrogen purification capabilities under a wide range of environmental conditions, indicating its potential for disposing of nitrogenous wastewater with high salinity.

The Sources of Nutrients for the Growing Ear of Winter Wheat in the Critical Cereal Window

The process of winter bread wheat (WW) nutrient management in the Critical Cereal Window (CCW) has a decisive impact on yield component formation and, consequently, the grain yield (GY) and grain protein content (GPC). This hypothesis was verified in a single-factor field experiment carried out in the 2013/2014, 2014/2015, and 2015/2016 seasons. It consisted of seven nitrogen-fertilized variants: 0, 40, 80, 120, 160, 200, and 240 kg N ha−1. The mass of nutrients in ears was determined in the full flowering stage. The mass balance of nutrients (N, P, K, Mg, Ca, Fe, Mn, Zn, and Cu) was determined in leaves and stems. These sets of data were first used to calculate the soil nutrient uptake and then to predict the GY and GPC. Three nutrients, i.e., N, Ca, and Mg, were the main predictors of ear biomass. The set of ear nutrients significantly predicting GY and GE consisted of Ca, P, and Zn. Overall, this indirectly indicates a balanced N status for the ear. A positive nutrient balance in leaves, indicating their remobilization, was found for N, P, Fe, Zn, and Cu. Negative values, indicating a net nutrient accumulation in the non-ear organs of WW, were found for the remaining nutrients. The greatest impact on the GY and its components was observed for the balance of Mg and P but not N. The predictive worth of the nutrient balance for stems was much lower. The GPC, regardless of the type of indicator, depended solely on the N balance. Meanwhile, the main nutrient sources of N and Fe in ears were leaves and stems due to their uptake from the soil. For Cu, the primary source was soil, completed by its remobilization from leaves. For the remaining nutrients examined, the key source for the ear was soil, which was completed by remobilization from leaves and stems. Mg and Ca differed from other nutrients because their source for ears was exclusively soil. They were invested by WW in the ears and non-ear organs, mainly in the stems. The effective use of the yield potential of WW and other cereals requires insight into the nutritional status of the canopy at the beginning of the booting stage. This knowledge is necessary to develop an effective N management strategy and to correct and possibly apply fertilizers to improve both the yield and the GPC.

Simulation and Optimization of a Self-Cleaning Device for the Header of a Rice Seed Harvester Using Fluent–EDEM Coupling

Rice seed production is a critical step in breeding high-quality varieties. To ensure seed purity, it is essential that no residual grains or broken ears remain in the harvester header after harvesting each variety, thus preventing cross-contamination. This study addresses the issue of seed retention in existing rice harvesters, which lack efficient self-cleaning or other cleaning mechanisms and cannot be cleaned rapidly. A self-cleaning device for the harvester header was designed to enable one-click cleaning after harvesting a single variety. A novel cleaning nozzle was developed as the key component of the device, with its structure optimized through single-factor and orthogonal combination experiments. The number of nozzles was determined based on their spray width and the header width. A header-cleaning airflow simulation model based on Fluent–EDEM coupling was constructed to investigate the effects of nozzle inlet pressure, airflow incident angle, and nozzle outlet height on the self-cleaning rate. Optimal cleaning parameters were identified to maximize the self-cleaning rate, and the simulation results were validated. The study revealed that the nozzle’s expansion section length, throat diameter, and contraction section length significantly affect the spray width. When the expansion section length was 10 mm, the throat diameter was 8 mm, and the contraction section length was 8 mm, the nozzle achieved the largest jet angle, measuring 50.3 cm. Further analysis indicated that inlet air pressure had the greatest influence on the self-cleaning rate, followed by airflow incident angle and nozzle outlet height. The optimal parameter combination was identified as an inlet air pressure of 0.6 Mpa, an airflow incident angle of 118.25°, and a nozzle outlet height of 2.64 mm, achieving a maximum self-cleaning rate of 99.63%. A one-click cleaning system was designed using an STM32 microcontroller and hardware circuits. Field experiments under optimal parameters demonstrated a self-cleaning rate of 97.68% with a cleaning duration of 10 s per cycle. The findings provide theoretical guidance for the design and optimization of self-cleaning headers for rice seed production.