Enhancing Systemic Translocation of Insecticides via Nanoformulations Incorporating ß-Cyclodextrin Octadecarboxylate as a Carrier.

The conversion of contact-killing pesticides into systemic pesticides can significantly enhance the bioavailability of pesticides, thereby reducing pesticide usage and environmental harm. A series of ß-cyclodextrin fatty acid esters with varying branch chains were synthesized and employed as carriers in nanoformulation of insecticide. The investigation revealed that nanoformulations prepared using ß-cyclodextrin octadecarboxylate (ß-CDs) exhibited superior stability and remarkable systemic translocation within plants. Six contact-killing insecticide nanoformulations were developed utilizing ß-CDs as carriers, and tests indicated that ß-CDs significantly enhanced the systemic translocation of insecticides in plants compared to carrier-free nanoformulations. It was found that ß-CDs increased the level of systemic translocation of insecticides by 5-12 times. Additionally, characterization results from λ-cyhalothrin-ß-CDs nanoformulation demonstrated their superior ability to improve photolysis resistance, prolong release time, and extend insecticidal duration. Consequently, ß-CDs can be utilized as a green additive in pesticide production to enhance the systemic translocation of pesticides in plants and increase their bioavailability.

Emamectin-sodium alginate nano-formulation based on charge attraction with highly improved systemic translocation and photolysis resistance.

Nano pesticides offer an effective means of improving the bioavailability of pesticide due to their excellent solubility and wettability, superior foliar adhesion, and permeability to target insects. By using high-speed homogenization and ultrasonic dispersion technology, an emamectin-sodium alginate nano-formulation (EB@SA) with a particle size ranging from 30 to 50 nm was successfully fabricated using electrostatic self-assembly. The microscopic morphology and structure of EB@SA were further analyzed through transmission electron microscopy, dynamic light scattering, infrared spectroscopy, and 1H NMR. The photolysis resistance behavior of EB@SA demonstrated an improved anti-photolysis ability more than double that of conventional formulations while also exhibiting good sustained-release properties. Not only does EB@SA maintain the inherent insecticidal toxicity of emamectin benzoate (EB), but it also significantly prolongs its insecticidal duration. At a concentration of 20 mg/L, the lethality rate against Armyworms remains above 70 % over a period of 16 days compared to <50 % for general emamectin emulsifiable concentrate. Furthermore, EB@SA greatly enhances the systemic translocation of EB in corn plants by exhibiting favorable bidirectional systemic translocation characteristics. This research presents an efficient and environmentally friendly pesticide nano-formulation that can be effectively utilized for field pest control.

Synthesis, characterization and application of emamectin-alkaline lignin conjugate with photolysis resistance and systemic translocation.

Controlled release formulations (CRFs) are a key technical approach for the sustainable development of pesticides. In this study, a CRF conjugate (emamectin-alkaline lignin, EB-AL) was successfully prepared using alkaline lignin as the substrate, with amide bond connecting emamectin and alkaline lignin. The structure and morphology of the conjugate were characterized using IR, 1HNMR, elemental analysis, SEM and TG. The release of EB-AL showed that the conjugate maintained its original structure when released in 50 % methanol-water and soil column, and the amide bond remained intact. The anti-photolysis test revealed that EB-AL had a 3.5 times higher photolysis half-life T0.5 than the general emamectin suspension concentrate (EB-SC). Bioactivity tests in the greenhouse demonstrated that EB-AL possessed a longer insecticidal duration and good biosafety. Ostrinia nubilalis lethality rate remained above 70 % for 19 days, while EB-EC, the control, had a rate of <50 % after 11 days of application. Additionally, EB-AL conjugate demonstrated excellent systemic translocation in plants, likely due to its ability to mediate alkaline lignin.

Preparation and Insecticidal Activity Evaluation of Emamectin-Lignin Sulfonic Acid Conjugate with Antiphotolysis Property.

Controlled release formulations (CRFs) are considered an effective way to solve the low bioavailability of traditional pesticides. However, CRFs prepared by coating or encapsulation has the disadvantage of explosive release of the ingredients. Sustained-release pesticides prepared by coupling with a carrier can overcome this shortcoming. In the present study, an emamectin-lignin sulfonic acid conjugate (EB-SL), in which emamectin was connected via sulfonamide bonds with lignin, was prepared using sodium lignosulfonate as the carrier. The structure of the conjugate was characterized by IR, 1HNMR, and elemental analysis. The sustained-release results showed that EB-SL maintained its original structure when released in pure water and soil columns, and the sulfamide bond did not break. The photolysis test displayed that the photolysis half-life T 0.5 of EB-SL was increased by 1.5 times compared with the emamectin suspending concentrate (EB-SC). Bioactivity tests in the greenhouse showed that EB-SL not only had similar insecticidal toxicity to emamectin emulsion concentrate (EB-EC) against Ostrinia nubilalis but also displayed a longer duration. The lethality of EB-SL on O. nubilalis was maintained at more than 70% across 19 days, whereas EB-EC as the control was less than 50% after 11 days of application.

Study on the preparation of sustained-release thiamethoxam microspheres by blending microcrystalline wax with tapioca starch ester or dehydroabietic acid ester as the matrix.

The controlled release formulations (CRFs) are considered an effective way to solve damage to the environment caused by traditional pesticide formulations. To change the defects of traditional neonicotinoid formulations that dissolve quickly in soil, three types of thiamethoxam (TM) CRFs microspheres with content of 20% TM were prepared using microcrystalline wax (MK) as the matrix, laurate acid tapioca starch ester (MSK) and stearyl dehydroabietic acid ester (MDK) as the regulators of ingredient release. The release behavior of CRFs microspheres in water and soil showed that the microspheres had superior stability and different TM sustained-release periods, and TM release of the microspheres in soil was faster than that in water. The release rate is TM/MDK > TM/MSK > TM/MK. In water, the release of thiamethoxam technical was finished after 38 hours. However, for TM/MK, the release rate was 94% after 240 hours, and the release time was extended by 6 times. Meanwhile, TM/MDK has a particular pH-responsive release. Research shows that using microcrystalline wax as the matrix, by adding MSK or MDK to adjust the release of ingredients, pesticide CRFs microspheres with different release periods can be prepared to achieve the purpose of controlling the release of pesticides.

DCML: Deep contrastive mutual learning for COVID-19 recognition.

COVID-19 is a form of disease triggered by a new strain of coronavirus. Automatic COVID-19 recognition using computer-aided methods is beneficial for speeding up diagnosis efficiency. Current researches usually focus on a deeper or wider neural network for COVID-19 recognition. And the implicit contrastive relationship between different samples has not been fully explored. To address these problems, we propose a novel model, called deep contrastive mutual learning (DCML), to diagnose COVID-19 more effectively. A multi-way data augmentation strategy based on Fast AutoAugment (FAA) was employed to enrich the original training dataset, which helps reduce the risk of overfitting. Then, we incorporated the popular contrastive learning idea into the conventional deep mutual learning (DML) framework to mine the relationship between diverse samples and created more discriminative image features through a new adaptive model fusion method. Experimental results on three public datasets demonstrate that the DCML model outperforms other state-of-the-art baselines. More importantly, DCML is easier to reproduce and relatively efficient, strengthening its high practicality.