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Preparation and Characterization of Efficient and Safe Rotenone Solid Nanodispersion by Self-Emulsifying Technique

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07 July 2025

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07 July 2025

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Abstract
Self-emulsifying solid nanodispersion technology is emerging as an attractive strategy to prepare new eco-friendly and efficient nano-formulations due to its simple, energy efficient and easy scale-up process. However, it is still unknown whether this technology can be employed to cope with the drawbacks of botanical insecticides including poor water solubility, rapid photodegradation and limited targeting efficiency. In this study, rotenone (Rot) was selected as a model of botanical insecticides and its solid nanodispersion (Rot–SND) was prepared by a self-emulsifying method combined with parameter optimization. Our target nano-formulation, consisting of 5% Rot, 20% complex surfactants of 8% Ethylan 992 and 12% EL–80, and 75% lactose, exhibited excellent storage stability and significantly improved the pseudo-solubility of Rot by at least 250 times. The average particle size and polydispersity index (PDI) of Rot–SND were 101.19 nm and 0.21, respectively. Rot–SND displayed smaller contact angles and greater retention on both cucumber and cabbage leaves than those of the commercial emulsifiable concentrates (EC). Rot–SND was also more resistant to photodegradation with a degradation rate reduced by 27.01% as compared with the EC. In addition, the toxicity of Rot–SND towards Aphis gossypii was 3.25 times that of the EC, with a median lethal concentration (LC50) of 1.26 µg a.i./mL. Under the field conditions, Rot–SND showed a prolonged duration for A. gossypii control, with a significantly higher control efficacy (88.10%) on the 10th day than that of the EC (77.02%). Moreover, a 2.88-fold decline in the toxicity towards nontarget mosquito larvae was observed for Rot–SND as compared with the EC. Overall, for the first time, our results indicated the role of Rot–SND as an eco-friendly and efficient way to improve the solubility, foliar affinity, photostability, bioactivity and eco-safety of Rot. This research provides a feasible strategy to prepare more eco-friendly botanical pesticide formulations of high efficiency.
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1. Introduction

Botanical bioinsecticides are emerging as a non-toxic promising alternative to cope with the growing concerns of synthetic pesticides regarding their adverse effects on the environment and human health [1,2]. Despite extensive studies on successfully demonstrating the high potency of various botanicals for pest insect control, botanical insecticides in current commercial use, however, are still limited due to lack of physicochemical stability, fast photodegradation and the resultant poor field performance [2,3]. Thus, it has become a key topic to focus on the development and application of known botanicals by innovative formulation strategies, rather than to discover more pesticidal plants and identify new insecticidal substances [1,2,3]. As a well-known isoflavone botanical insecticide, rotenone (Rot) exhibits good insecticidal activity against a broad-spectrum of pest insects in 137 families including aphids [4], and is recognized as a green pesticide safeguarding crop production in organic farming systems [4,5,6]. Yet, Rot is poorly water soluble and easily degraded by exposure to light in the environment with a short duration, which severely limits its utilization efficiency by using traditional formulations in the fields [5,7]. Also, traditional Rot formulations, like emulsifiable concentrates (EC) and microemulsions, generally contain non-eco-friendly organic solvents or excessive surfactants, which reduces the product safety as green pesticides. Although Rot is considered as a safe bio-pesticide for domestic animals and humans since it does not accumulate in the environment due to rapid degradation [8], many studies also reported its high toxicity to domestic animals, fish, and mice by direct exposure [8,9], and its role as a potential risk factor for the onset of neurodegenerative conditions [10]. Therefore, developing new botanical pesticide formulations that are of high efficiency and low ecological toxicity is a major challenge for agricultural production [2,3].
Combination of nanotechnological approaches and botanical insecticides has paved a substantial way to develop more new formulations of high efficiency and low environmental risks, which is the leading edge of commercial development for the existing botanical insecticides [3,11,12]. Currently, microencapsulation technologies based on natural polysaccharides [4,13] and nano-packaging technologies of carrier adsorption [5], crosslinking self-assembly [7] and co-precipitation [14] were reported to improve the formulation performance of Rot including reducing its toxicity to non-target organisms and enhancing its efficacy against target pests. However, there are only a very limited number of studies focusing on the development of Rot nano-formulations as eco-friendly pesticides of high efficiency. Chen et al. (2016) found that ZnO and SiO2 nanoparticles could improve Rot photostability effectively by simple mixing of them and Rot [15]. Mesoporous silica nanoparticles were used to encapsulate Rot to improve its stability and insecticidal activity [5]. Chitosan derivatives of oleoyl-carboxymethyl chitosan [16], deoxycholic acid carboxymethyl chitosan [17] and N, N-dimethylhexadecyl carboxymethyl chitosan [18] have been employed to enhance Rot solubility by forming nano-micelles. Chitosan-graphene oxide nanocomposites were also described to increase Rot solubility [6]. Further, Rot was encapsulated in biodegradable chitosan-based nanoparticles to produce a nanopesticide with enhanced bioavailability and photostability [7]. Bidyarani and Kumar (2019) prepared a Rot loaded zein nano-formulation showing excellent antimicrobial activity [19]. Nevertheless, more work needs to be done to develop highly efficient and eco-friendly Rot formulations using new nanotechnological approaches.
Recently, solid nanodispersion based on self-emulsifying technology (SESND) has become a new nanotechnology that requires a simple and energy-efficient formulation process with no organic solvent residues. SESND has been wildly used to prepare nano-formulations of various pesticides such as emamectin [20], emamectin benzoate [21,22,23,24], avermectin B2 [25], lambda-cyhalothrin [26], pyraclostrobin [27] and the binary complexes of prochloraz and azoxystrobin [28]. These prepared solid nanodispersion (SND) formulations can significantly improve the water solubility, photostability, foliar affinity and bioactivity of active ingredients. However, scarce studies described the capacity of SESND for preparation of botanical insecticide formulations. It is also not known whether SESND can be used to produce a Rot nano-formulation and whether the formulation can improve the solubility, foliar affinity, photostability and bioactivity of Rot.
In the present study, a Rot solid nanodispersion (Rot–SND) was prepared by using the self-emulsifying method and its compositions were optimized by an orthogonal experiment method. Then, the characteristics of the target Rot–SND have been determined and compared with a traditional EC formulation in terms of morphology, particle size, contact angle and retention on leaf surfaces, photostability, aphicidal activity under indoor and field conditions, and toxicity towards nontarget organisms. This is the first example known to the authors that proved the technical feasibility of SESND for preparation of a new Rot–SND of high efficiency, which can be also extended to developing eco-friendly and efficient nano-formulations for other botanical insecticides.

2. Materials and Methods

2.1. Materials

Rotenone (Rot) standard (98%) and Rot technical material (95%) were purchased from Shanghai Aladdin Biochemical Technology Co., Ltd. (Shanghai, China). Surfactant Ethylan992 was from Nanjing Jierun Sci. Tech. Co., Ltd. (Nanjing, China). Surfactant EL–80 was from Jiangsu Haian Petrochemical Plant (Haian, China). Lactose (98%) and galactose (98%) were obtained from Macklin Chemical Technology Co., Ltd. (Shanghai, China). Ethyl acetate (99%) and Sodium benzoate (99%) were obtained from Sun Chemical Technology Co., Ltd. (Shanghai, China). Commercial Rot emulsifiable concentrates (EC, 2.5%) was obtained from Guang Nong Yao Ye Co., Ltd. (Guangzhou, China). Chromatographic grade acetonitrile was purchased from J&K Scientific Ltd. (Beijing, China).

2.2. Preparation of Rotenone Solid Nanodispersion (Rot–SND)

Rot–SND was prepared by a self-emulsifying method followed by carrier adsorption and solidification [20,27]. For a standard procedure, 50 mg of Rot was dissolved in 5.0 mL ethyl acetate to prepare a solution A with vortex oscillation. Then, 0.20 g of the selected surfactant was accurately weighed and added to the solution A to obtain a solution B with vortex oscillation. Finally, the solution B was added to the lactose carrier (0.75 g), fully mixed, and dried in an oven at 45℃ for 3 h to obtain the 5% Rot–SND.

2.3. Orthogonal Design of Experiments

A series of one-factor-at-a-time pre-experiments were conducted to prepare a formulation of 5% Rot–SND. A binary surfactant mixture of Ethylan 992 and EL–80 was screened out as the suitable surfactant complexes and the quality of Rot–SND was determined to mainly depend on three key factors of the weight ratio of Rot to surfactant (Rot/surfactant), the mixing proportion of Ethylan 992 and EL–80 (Ethylan 992/EL–80), as well as the carrier type (Data not shown). Thus, based on the results of our pre-experiments, orthogonal experimental design was adopted to optimize the formulation compositions of 5% Rot–SND using a L9(34) orthogonal table designed by a SPSS 21.0 software (SPSS Inc., NewYork, USA). Each factor had three different levels (Table 1) and a blank column would be used as the fourth factor to calculate the error according the orthogonal design theory [29,30]. A total of 9 formulations were designed and tested with compositions listed in Table S1. The average particle size and PDI (polydispersity index) were selected as the quality indicators of the prepared formulations to perform the range analysis to determine the significance levels of the influencing factors and obtain the optimal level of each factor. The K value, as well as the range value (R) was calculated for range analysis. All the tests were repeated for three times and then averaged.

2.4. Particle Size and Size Distribution Measurements

The particle size and size distribution of 5% Rot–SND formulations were determined by photon correlation spectroscopy using a Malvern dynamic light scattering (DLS) instrument of Zetasizer Nano ZS90 (Worcestershire, UK) at a fixed angle of 90°. Each Rot–SND sample was diluted into deionized water containing 0.2‰ (w/w) active ingredient of Rot and measured at 25ºC. The results were expressed as the Z-average (diameter) obtained from three measurements (10 runs each) with corresponding standard deviation. Particle size and its distribution were presented as cumulant mean diameter and PDI, respectively.

2.5. Zeta-Potential Measurements

The Zeta potentials of 5% Rot–SND formulations were determined by measuring the direction and velocity of droplet movement in the applied electric field using a Malvern Zetasizer Nano ZS90 (Worcestershire, UK) equipped with a 4 mW He–Ne Laser (633 nm) and folded capillary cells with gold electrodes. The Data were recorded and analyzed by the Dispersion Technology Software 5.1 in General Purpose mode and automatic measurements settings using the Smoluchowsky mathematical model. The samples were diluted with deionized water at the ratio of 1:250 (w/v), and each sample solution was injected directly into the chamber of a Nano-ZS90 particle electrophoresis instrument for zeta potential analysis at 25ºC.

2.6. Storage Stability Evaluation of Rot–SND

The storage stability of Rot–SND was evaluated according to a previous protocol method [20]. Briefly, Rot–SND samples were placed into brown glass bottles (10 mL). After sealing, the sample bottles were placed in a fridge at 4ºC for 7 days, or in an oven at 54ºC for 14 days. The entire storage process was carried out under natural light. The particle size and PDI of Rot–SND before and after storage were determined by the DLS method as mentioned above.

2.7. Crystalline State Analysis of Rot–SND

The crystalline state of Rot–SND was characterized by a Brucker D8 Advance powder X-ray diffractometer (XRD, Karlsruhe, Germany) equipped with a Cu Kα source (0.154 nm, 40 kV, 40 mA). Data were recorded in an angular range of 10–80° (2θ) with a scan rate of 0.02°and a time step of 0.1 s.

2.8. Morphology Observation

For morphology observation, Rot–SND suspension was prepared and dropped onto a piece of monocrystalline silicon (0.5 cm × 0.5 cm). After air-dried overnight, the silicon slices were then gold-coated using a Hitachi E1010 sputter coating machine (Tokyo, Japan) for 60 s, and imaged using a Hitachi S4800 cold field scanning electron microscope (SEM, Tokyo, Japan). To determine the size of Rot–SND, the SEM images were analysed using ImageJ (https://imagej.nih.gov/ij/) and the diameters of at least 200 randomly selected nanoparticles were measured.

2.9. Contact Angle and Retention Measurements

Hydrophilic cucumber (Cucumis sativus L.) leaves, as well as hydrophobic cabbage (Brassica oleracea L.) leaves, were selected for evaluating the dynamic contact angles of Rot–SND samples. Briefly, fresh cucumber and cabbage leaves from 3-week plants were carefully cleaned to remove foliar surface dust and then fixed on glass slides. Then, 5 µL of each SND sample solution containing 0.2‰ (w/w) Rot was dropped onto a prepared leave slide and the contact angle was recorded on a JC2000D2M contact angle instrument (Zhongchen Digital Technic Apparatus Company, Ltd., Shanghai, China) using a five-point fitting method. The contact angles of commercial Rot EC (2.5%) on fresh cucumber and cabbage leaves were also recorded as controls. Each sample was repeated for five times.
Retention on cucumber and cabbage leaves was tested by a previously described method [20,30] according to weight difference before and after impregnation. First, Rot–SND and EC were diluted with ultra-pure water to prepare aqueous dispersions with 0.2‰ (w/w) active ingredient. Second, the initial weight of each leaf sample was recorded as M0 (mg) and its surface area (Sm, cm2) was also measured. Then, each leaf sample was fully immersed into the prepared dispersion for 10 s, and its weight after immersion (M1, mg) was recorded when no droplets were sliding off the surface. Five repeated measurements were arranged for each sample. Retention (Rm, mg/cm2) was calculated by the equation (1) as followed:
Rm = (M1−M0)/Sm,

2.10. Determination of Rot–SND Photostability

The photostability of Rot–SND was measured according to a previously described method [7,31] using technical Rot and its EC as the controls. Rot–SND and EC were dispersed in pure water to prepare formulation sample solutions containing 500 mg/L of Rot. Technical Rot was dissolve in chromatographic acetonitrile to prepare a Rot acetonitrile solution at a concentration of 500 mg/L. Quartz tubes with 1 mL sample solution were exposed to a 365-nm ultraviolet (UV) lamp (30 W, Philips) at a straight distance of 20 cm. Samples were taken off from the UV light after 24-h radiation. The Rot residue in each sample solution was determined by high-performance liquid chromatography (HPLC) analysis. All experiments were carried out for three times.
The Rot content was measured by an Agilent 1260 HPLC system (California, USA) equipped with a C18 column (5 μm, 4.6 mm × 150 mm) at 25ºC. A mixture of acetonitrile and water (60:40, v/v) was used as the mobile phase with a flow rate of 1 mL/min. The injection volume was 10 µL, and the UV detector wavelength was set to 299 nm.

2.11. Bioassays

Laboratory aphicidal activity bioassay was carried out to test the toxicity of Rot–SND against Aphis gossypii using a previously described leaf-dipping method [32]. Colonies of A. gossypii were collected from cucumber plants and raised in our laboratory at 25±1ºC, 70±10% relative humidity (RH) and a photoperiod of 16-h light and 8-h dark. A series of sample solutions of Rot–SND were prepared by dissolving it into distilled water at different Rot concentrations of 0.5, 1.0, 2, 4, and 8 µg/mL. Fresh cucumber leave discs of 6-cm diameter were dipped in a sample solution for 15 s, and then air dried naturally. Leave discs with Rot–SND were further placed upside down in 90-mm Petri dishes (one disc per Petri dish), with each bottom lined with a sheet of 9-cm moist filter paper. Apterous A. gossypii adults of identical size and age were selected and transferred onto the treated leaves (ten individuals per leaf). Each Petri dish was then covered with a layer of transparent plastic wrap with pinholes, and incubated in a growth cabinet at identical conditions. Distilled water and Rot EC were used as blank control and commercial formulation control, respectively. Aphid mortality was checked after 48-h incubation, and the median lethal concentration (LC50 value) was calculated using the probit package of SPSS 23.0 software (SPSS Inc., Chicago, USA). Three leaves were arranged for each treatment group, and every assay was repeated three times.
Field aphicidal efficacy evaluation was carried out in a wolfberry tree plantation of Qingtongxia City, Ningxia Province, China (longitude: 106.17, latitude: 38.15). The Chinese wolfberry trees were grown in experimental fields under routine management. According to the field trial protocol for insecticides against aphids [33], experimental plots were randomly arranged with three repetitions and ten trees per treatment. To avoid edge effect, 2-m wide protection lines were arranged between plots. The Rot concentration of the sprayed Rot–SND dispersion was set to 200 µg/mL and the sprayed volume was 37.5 mL/m2, which is consistent with the field recommended dose of the commercial Rot EC (75 g/ha) by conventional volume spray (375 L/ha). Commercial Rot EC (2.5%) and water were used as the commercial insecticide control and blank control, respectively. The control efficacy was calculated by the following equations (2) and (3):
PRR (%) = (N0 − Nt)/N0 ×100,
Where PRR represents the population reduction rate, N0 represents the initial aphid count, and Nt represents the aphid count after treatment.
Control efficacy (%) = (PRRt − PRR0)/(100 − PRR0) ×100,
Where PRRt and PRR0 represent the population reduction rates in treated plot and in blank plot, respectively.
The toxicity of Rot–SND towards nontarget Aedes aegypti larvae was conducted according to the standard procedure recommended by the World Health Organization (WHO) [34]. A laboratory strain of A. aegypti (Hainan strain) was provided by the Laboratory of Pesticide Science of Hainan University (Haikou, China) and used for all experiments. Rot–SND was dispersed in dechlorinated water to prepare stocks with Rot concentrations of 10, 40, 80, 100 and 150 mg/mL, respectively. Thirty fourth instar larvae were placed into 90.0 mL of dechlorinated water, followed by adding 10 mL of a stock solution. Commercial Rot EC and water were used as the commercial insecticide control and blank control, respectively. The larvae mortality was recorded after 48-h exposure under identical conditions and calibrated by Abbott’s method when necessary [35]. Each experiment was replicated five times. The virulence curves, LC50 values, as well as their 95 confidence intervals, were calculated according to the probit package of SPSS 23.0 software (SPSS Inc., Chicago, USA).
2.12. qRT-PCR Analysis of Mitochondrial Gene Expression
Quantitative real-time PCR (qRT-PCR) assay was used to detect variations in the expression of 11 mitochondrial protein-coding genes (MtPCGs) of A. gossypii after Rot–SND treatment. Aphids were treated with Rot–SND at a Rot concentration of 1.45 µg/mL (LC50 value) for 48 h as described in the Section 2.11. Live aphid samples (100 individuals) were collected and used for total RNA extraction using TRIzol reagent (Invitrogen, Carlsbad, CA) according to the manufacturer’s instructions. The concentration and purity of RNA samples were assessed by a Thermo Scientific Nanodrop Lite Spectrophotometer (Wilmington, USA) using an A260/A280 ratio ranging from 1.8 to 2.0 and an A260/A230 ratio >2.0 as the standards of qualification. The cDNA was synthesized from the total RNA samples using an All-in-One First-Strand cDNA Synthesis Kit (Servicebio Technology Co., LTD., Wuhan, China) and stored at –20ºC until use. MtPCGs primers were designed using a Primer Premier 5 software (Palo Alto, CA, USA) according to the complete mitochondrial genome sequences of A. gossypii (GenBank accession number: KJ669654) [36], and the optimal primers are present in Table S2. qRT-PCR was then performed on a Thermo Scientific QuantStudio 5 Real-time PCR System (Foster, CA, USA) using SYBR Green as the fluorescent intercalating dye. The PCR programs are present in Table S3. For normalization, the 18S rRNA gene (18S) was used as the endogenous control [37]. Distilled water treatment was used as the blank control, and a commercial Rot EC treatment was used as the positive control. Each gene was analyzed three times and their relative expression levels were calculated using the 2-ΔΔCt method.

2.13. Statistical Analysis

SPSS 23.0 software (SPSS Inc., Chicago, IL, USA) was used to test for statistical significance (P < 0.05) by one-way ANOVA analysis and student’s test.

3. Results and Discussions

3.1. Optimization of Rot–SND Recipe Parameters

Results of our pre-experiments revealed that combined surfactants of Ethylan 992 and EL–80 were beneficial to preparing Rot–SND of excellent dispersion. Ethylan 992 is an alkoxylated short fatty alcohol belonging to alcohol ethoxylates, a class of eco-friendly surfactants of excellent biodegradability [38,39,40]. Likewise, EL–80 is a castor oil polyoxyethylene ether that belongs to a readily biodegradable substance with very low environmental risks [41,42]. These two surfactants may adsorb on the hydrophobic solid Rot surface by their hydrophobic alkane chain to form a larger steric hindrance using the hydration of their hydrophilic polyoxyethylene chains [26]. Then the thickening of hydration adsorption layer can reduce both the Hamaker constant and the Van derWaals attraction potential energy between particles [26,43], which can enhance the spatial repulsive force to prevent the particle aggregation. The steric hindrance between particles is closely related to the hydrophilic-lipophilic balance of surfactants that is easily obtained by regulating the ratio of combined surfactants [26,44]. From the results of our pre-experiments, we also found that three carriers of lactose, galactose and sodium benzoate were also feasible to prepare Rot–SND due to their eco-friendliness, low-costness and potential hydrogen-bond interactions with Rot, leading to their wide use in SND preparation [20,24,26,27]. Therefore, based on the discussion above, a L9(34) orthogonal experimental design was conducted to optimize the main composition parameters of Rot–SND in terms of Rot/surfactant (factor A), Ethylan 992/EL–80 (factor B) and carrier type (factor C). Particle size and polydispersity index (PDI) are two key factors of pesticide nano-formulations [20,24,30] and used as the evaluation indicators. The visual analysis of effects of different factors on particle size and PDI is illustrated in Table 2. According to the R-value of particle size, carrier type was determined to be the most significant factor followed by Rot/surfactant and then Ethylan 992/EL–80, and there is no significant interaction between the factors due to the minimum R-value of the error term. Variance analysis of particle size further indicates that carrier type and Rot /surfactant significantly affect the particle size of Rot–SND (Table S4). The R-value of PDI, however, reveals that the effect of the three test variables on the size distribution, in decreasing order, is: Rot/surfactant > carrier type > Ethylan 992/EL–80, and that significant interaction exists between the test factors with a median R-value of the error term (Table 2). As the Rot/surfactant decreased from 0.33 to 0.20, the Rot–SND PDI reduces 25.8% and 32.3%, respectively. The factor of Rot/surfactant was also demonstrated to significantly affect the PDI of Rot–SND by variance analysis (Table S5). Based on the K value of particle size (Table 2), the Rot–SND formulation of the minimum particle size is A3B2C1 (122.80 nm). Moreover, this formulation also exhibited a minimum PDI value of 0.19 and is regarded as the optimal formulation by the K value analysis of PDI.
Based on the results of orthogonal experiments, lactose was the suitable carrier and increasing the mass ratio of Rot to surfactant benefitted the dispersion of Rot–SND. Thus, we next measured the particle size and PDI of six Rot–SND formulations of different Rot/surfactant (1:4 and 1:5) and Ethylan 992/EL–80 (4:6, 5:5 and 6:4) using lactose as the carrier, with results illustrated in Figure 1a. Two formulations of A2B1C1 and A3B2C1 exhibited comparable particle size and PDI values, and their particle size values significantly lower than those of the other four formulations. Storage stability is also an important characteristic of a pesticide formulation [20]. Therefore, we further determined the storage stability of A2B1C1 and A3B2C1 using particle size, PDI and Zeta potential as indicators. As shown in Figure 1b, when stored at 4ºC for 7 days, the particle size of A2B1C1 significantly decreased to 77.17 nm with no significant change in the PDI value. Likewise, the particle size of A3B2C1 was also significantly reduced (67.01 nm) with no distinct difference in the PDI value after storage at 4ºC for 7 days (Figure 1c). After 14-day storage at 54ºC, a reduced particle size of 38.49 nm and non-significant change of the PDI value were observed for A2B1C1 (Figure 1b), while A3B2C1 exhibited not only a reduced particle size (39.56 nm) but also an increased PDI value (0.27) (Figure 1c). The reduced particle size after storage may attribute to particle reorganization induced by Rot recrystallization in solid Rot–SND. Previous studies indicated that Rot was encapsulated in biodegradable polymer microcapsules in an amorphous state by a solvent evaporation method [13,45]. Since the biodegradable polymer are rich in hydroxyl and carboxyl groups, we speculate that Rot–SND might also contain a small part of large particles of amorphous Rot due to the uneven solvent evaporation and hydrogen bonding interactions among Rot, surfactants and lactose carrier. In the crystalline carrier including lactose, the drug may also precipitate in an amorphous form with high dissolution [46], which can also provide evidence for the existence of amorphous Rot particles in Rot–SND. The small part of large amorphous Rot particles in Rot–SND can dominate the light scattering signal and mask the presence of smaller particles, resulting in a higher particle size during DLS analysis [24,48,49]. Amorphous solid dispersion (ASD) exists in a higher energy state, which makes it more susceptible to recrystallization, a transition to a lower energy state, during storage [46,47,48]. This amorphous-to-crystalline transition can be accelerated at high temperatures due to the high molecular mobility [46,49,50]. Thus, large amorphous Rot particles increased the initial particle size of Rot–SND. Afterwards, the large amorphous Rot particles transformed spontaneously into smaller crystalline Rot particles stabilized by surfactants and lactose carrier without overgrowth in size, during storage. High-temperature storage promoted the mobility of rotenone molecules in Rot–SND, which can accelerate the recrystallization process, generating more smaller particles. Moreover, high-temperature storage may also promote the phase transition of Ethylan 992 and EL–80 as polyoxyethylene surfactants [51], which can also accelerate the recrystallization process by phase separation [46,47]. The smaller particle size of A2B1C1 stored at 54ºC than that at 4ºC (Fgure 1a) can also indicate the accelerating effects of high temperature on Rot recrystallization in solid Rot–SND. Similar trend was also reported for the storage of avermectin B2 SND [25]. Notably, there were no significant changes observed in the Zeta potential of A2B1C1 after 7-day storage at 4ºC and 14-day storage at 54ºC, whereas the Zeta potentials of A3B2C1 were significantly reduced after storage (Figure 1d). Compared with A3B2C1, A2B1C1 exhibited a higher storage stability with non-significant changes in the PDI and Zeta potential after storage at different temperatures. The crystal states of A2B1C1 before and after storage at 4ºC for 7 days and 54ºC for 14 days were also demonstrated to remain unchanged by the XRD powder diffractograms (Figure S1), indicating again its excellent stability.
Taken together, A2B1C1 was selected as the optimal formulation of small particle size (101.19 nm), narrow size distribution (PDI= 0.21) and excellent stability, and used for subsequent experiments. Finally, a target Rot–SND was produced by the optimal formulation and its compositions were determined as: 5% Rot, 8% Ethylan 992, 12% EL–80 and 75% lactose.

3.2. Morphology and Particle Size of the Target Rot–SND

The morphology of the target Rot–SND was observed by a scanning electron microscope (SEM) with result shown in Figure 2a. The SEM image shows that the Rot nanoparticles are approximately spherical in shape with good dispersion. The average particle size based on 200 particles from the SEM images was calculated as 63.30 nm with particle diameters ranging from 36.54 to 126.15 nm (Figure 2b). The mean particle size measured by DLS was 101.19 nm with a narrow and single peak size distribution ranging from 43.8 to 255 nm (Figure 2c), which is larger than that obtained from SEM images. This discrepancy can be attributed to the fact that DLS measurement reflected hydrodynamic diameter of particles with a lactose hydration layer as the swollen corona, but SEM images presented the size of dispersive particles in the dry state without the hydration corona [20,24,52]. Moreover, the light scattering signal may be dominated by larger particles or aggregates in the dispersion that may mask the presence of smaller particles, which can result in a higher measured value during DLS analysis [24,53,54]. Therefore, in Rot–SND, the carrier lactose can not only improve the particle dispersion in water but also limit the growth of particles in solution and during drying process. Insert of Figure 2c shows that Rot–SND dispersion has a clear transparent and light-blue pseudo-solution appearance at a Rot concentration of 500 mg/L, which is 250-fold higher compared with Rot solubility in water (2 mg/L) [18,55,56]. This result indicates that Rot–SND can significantly increase Rot water solubility with no organic solvents.

3.3. Wettability and Retention of Rot–SND

The wetting and spreading behavior of pesticide formulations can be intuitively observed by the contact angle of pesticide droplets on the target surface, which is related to their surface tension and interface properties [20,26]. Consequently, the contact angle of Rot–SND dispersion droplets was measured on cucumber (Cucumis sativus L.) and cabbage (Brassica oleracea L.) leaves, respectively. As shown in Figure 3a, the contact angle of ultra-pure water was measured to be 86.30º on hydrophilic cucumber leaves, and 136.93º on hydrophobic cabbage leaves. The contact angles of the commercial Rot EC on cucumber and cabbage leaves were determined to be 66.70º and 94.80º, respectively. The respective contact angle of Rot–SND on cucumber and cabbage leaves were measured to be 56.33º and 68.33º, smaller than those of the Rot EC formulation (Figure 3a). As supported by the literatures [20,26], formulations of small particle size can enhance the contact area with leaves due to its large special surface area.
The retention of Rot–SND on cucumber and cabbage leaves were also explored with results shown in Figure 3b. The retention of Rot–SND on cucumber leaves was determined to be 33.30 mg/cm2, which was 1.37 times that of the commercial Rot EC (24.33 mg/cm2). Also, the retention of Rot–SND on cabbage leaves was measured to be 21.85 mg/cm2, which was 1.22 times that of the commercial EC (17.88 mg/cm2). These results indicate that Rot–SND of small particle size has excellent wettability showing smaller contact angle and greater retention on hydrophilic and hydrophobic leaves as compared with a commercial EC.

3.4. Photostability of Rot–SND

Rot is readily to degrade by exposure to sunlight in the fields and lose bioactivity, so it is of great importance to preserve its bioactivity by reducing photodegradation [5,7]. Photoprotectants [31] and nanoencapsulation [5,7] have been reported to enhance the photostability of Rot. For instance, the photodegradation rate of abamectin in SND was proved to be much lower than that of a commercial EW (emulsion in water) formulation [20,21]. Thus, we tested the photodegradation rate of Rot in Rot–SND under UV radiation. As shown in Figure 4a, 33.70% of Rot degraded in Rot–SND, whereas 46.20% and 57.60% of Rot degraded in EC and acetonitrile solution, respectively, after UV radiation for 24 h. The photodegradation rate of Rot in Rot–SND was much lower than that in EC. The preparation process of a SND is involved in drying liquid or semi-solid self-emulsifying ingredients onto soluble powders, allowing active ingredients dispersing in solid hydrophilic matrix as particle or microcrystalline. As crystalline phase [57,58,59] and particle state [20,21] have been reported to be more stable than the amorphous phase under photo-exposure, Rot–SND improved the photostability of Rot probably due to its existing state in lactose matrix.

3.5. Indoor Toxicity of Rot–SND Against Aphis gossypii

Previous studies revealed that SNP could improve the solubility, foliar affinity and photostability of pesticides and finally result in higher bioactivity [20,21,24,26,27]. From the discussion above, Rot–SND has many advantages over commercial EC. It is still needed to make sure whether these advantages substantially make a difference in the bioactivity of Rot–SND. Based on this, the toxicity of Rot–SND to A. gossypii was evaluated in the laboratory and compared with a commercial EC. As shown in Table 3, both Rot formulations are highly toxic to A. gossypii with the median lethal concentrations (LC50) lower than 4.50 μg a.i./mL. Compared with EC, Rot–SND exhibited a higher aphicidal activity against A. gossypii with the LC50 value of 1.45 µg a.i./mL that is significantly smaller than that of the EC (4.36 µg a.i./mL). From the results of our studies on foliar wettability and retention, we deduced that excellent foliar wettability and retention of Rot–SND could increase its foliar adhesion and penetration, which played a key role in enhancing the effective action dose of Rot during the contacting and feeding of aphids and in turn increased their mortality [21].

3.6. Field Efficacy of Rot–SND Against A. gossypii

Though SND of high bioactivity has been vastly verified in the laboratory conditions [20,21,22,23,24,25,26,27,60], its performance in the fields is scarcely discussed. Thus, to further explore the potential of Rot–SND in practical applications for aphid control, we tested its aphicidal activity against A. gossypii in a wolfberry tree plantation. As shown in Figure 4b, these two Rot formulations exhibited high aphicidal activities with a minimum control efficacy of 77.02% in the 10 days after spraying. Of note, the control efficacy of Rot–SND demonstrated an increasing trend over time in despite of no statistical significance between the time intervals, whereas an obvious decreasing trend was observed for the control efficacy of EC that decreased from 94.75% to 77.02% within the period from the 3rd day to the 10th day. The control efficacy of Rot–SND was slightly lower than that of EC without significant difference on the 3rd day, comparable to that of EC on the 7th day, but significantly higher than that of EC on the 10th day (Figure 4b). Within the first 3 days, the permeation of organic solvent in EC and less Rot photodegradation can explain its slightly higher control efficacy at this stage. With continuous exposure in the fields, the control efficacy of EC began to decline continuously due to the solvent evaporation and the enhancement of photodegradation. For Rot–SND, water evaporation might benefit its efficacy exertion probably due to decreased particle size induced strong adhesion and penetration. Compared with the hydration particle size of Rot–SND observed by DLS (Figure 3c), the dry Rot–SND of smaller particle size was determined by SEM (Figure 3b), indicating the particle size reduction during water evaporation. The result of the indoor bioassay that cucumber leaves coated by the dry Rot–SND exhibited a higher aphicidal activity (Table 3) also provided evidence for the key role of small particle size on its bioactivity. The reason for the prolonging and stable control efficacy of Rot–SND was multi-faceted involved in nanoparticle size, excellent foliar wettability and retention, and resistance to photodegradation. A similar pattern was also reported for a nano-formulation of pyrethrin [52]. All in all, these results demonstrate that Rot–SND can both improve Rot utilization efficiency and prolong its duration, which provides evidence for its potential in aphid control practices.

3.7. Effect of Rot–SND on the Mitochondrial Gene Expression in A. gossypii

Rot is reported to cause strong inhibition of mitochondrial complex-I to block the respiratory electron transport chain in insects, and result in mitochondrial dysfunction and reduction of ATP supply [61,62]. The A. gossypii mitogenome is known to encode 13 subunits of respiratory complexes I, III, IV and V including seven NADH dehydrogenase subunit genes (ND1ND6, ND4l), one Cytochrome b gene (CytB), three Cytochrome c oxidase subunit genes (COX1COX3) and two ATP synthase subunit genes (ATP6 and ATP8) [36,63]. Therefore, we assessed the effect of Rot–SND on the expression of 11 mitochondrial protein-coding genes (ND4l and ATP8 were excluded due to their short sequence length) in A. gossypii using qRT-PCR, to verify the high efficiency of Rot–SND as an insecticidal formulation targeting mitochondria. Results showed that 9 mitochondrial protein-coding genes (MtPCGs) were significantly down-regulated by both Rot–SND and the commercial EC at a same rotenone concentration of 1.45 μg/mL, whereas COX2 was significantly up-regulated by these two rotenone formulations (Figure 5). ND4, however, was not significantly altered by either Rot–SND or the EC (Figure 5a). Although, Rot–SND and EC exhibited similar regulatory patterns for MtPCGs, the effect of Rot–SND was more significant than that of EC, especially on ND2, ND4, ND5, ND6, COX1 and COX2 (Figure 5). These findings not only revealed the effect of the Rot formulations on A. gossypii mitochondrial gene expression but also provided evidence for the higher aphicidal activity of Rot–SND relative to the commercial EC.

3.8. Toxicity of Rot–SND Toward Nontarget Mosquito Larvae

Pesticides can cause severe ecological and environmental problems after entering aquatic environments by drift, leaching, and running off during field applications [64]. Rot has been proven to be highly toxic to aquatic animals [65], including fish [4] and mosquito larvae [66]. Aedes aegypti larvae has been serve as a model to conduct toxicity assessment of environmental pollutants [67,68]. Thus, we further tested the toxicity of Rot–SND toward nontarget mosquito larvae. As shown in Table 4, the toxicity of Rot–SND to A. aegypti larvae was determined to be significantly lower than that of Rot EC, with the LC50 value of 8.79 μg a.i./mL that is 3.34 times that of Rot EC (2.63 μg a.i./mL). The direct contact effect of EC and its organic solvent components may enhance the toxicity of this formulation, while surface lactose coating effect of Rot–SND and the hydration layer may act as the attenuated factors. Overall, Rot–SND will improve its ecological safety by both less exposure risk to the nontarget aquatic organisms and the reduced application dosage due to its increased bioactivity against target organisms.

4. Conclusions

In this work, a Rot–SND was prepared and optimized to obtained an optimal formulation consisting of 5% Rot, 20% complex surfactants of Ethylan 992 (8%) and EL–80 (12%), and 75% lactose as carrier by a self-emulsifying technique. Rot–SND demonstrated a series of better properties of uniform and small particle size, high storage stability, superior foliar wettability and retention, low photodegradation rate, enhanced bioactivity towards target aphids, prolonged efficacy in the fields, and reduced toxicity towards nontarget mosquito larvae, as compared with a commercial Rot EC. The water solubility of Rot in Rot–SND increased by 250 folds relative to the technical Rot. The photodegradation rate of Rot–SND was reduced by 27.01% relative to the EC. Rot–SND exhibited a higher aphicidal activity with the LC50 value reduced by 2.00 times that of the EC. Rot–SND also showed a prolonged duration in the fields with a significantly higher control efficacy on the 10th day than that of the EC. Further, the toxicity of Rot–SND towards nontarget mosquito larvae was reduced 2.34 times that of the EC. Consequently, the prepared Rot–SND could be an efficient formulation to significantly promote the utilization efficiency of Rot with improved ecological safety. The strategy used in this study can also be extended to other botanical pesticides to prepare more eco-friendly formulations of high efficiency.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org, Figure S1: X-ray diffraction patterns of Rot–SND before and after storage; Table S1: The orthogonal experimental design table; Table S2: Primers for qRT-PCR assay; Table S3: Amplification program for qRT-PCR assay; Table S4: Variance analysis of particle size; Table S5: Variance analysis of PDI.

Author Contributions

Conceptualization, S.Z., Y.L. and Y.Z.; data curation, S.Z. and Y.Z.; formal analysis, M.Q. and L.W.; funding acquisition, S.Z. and Y.Z.; investigation, X.L., Y.Q., and M.Q.; methodology, X.L. and S.Z.; project administration, S.Z. and Y.Z.; resources, L.W. and Y.Z.; supervision, S.Z. and Y.L.; validation, X.L., L.W. and Y.L.; visualization, X.L., Y.Q. and M.Q.; writing—original draft, Y.Z. and M.Q.; writing—review and editing, Y.Q. and L.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Hainan Provincial Natural Science Foundation of China High-level Talent Project, grant number 322RC562, Ningxia Hui Autonomous Region of China Independent Innovation in Agricultural Science and Technology Foundation, grant number NGSB–2021–10–04, and National Natural Science Foundation of China Regional Project, grant number 32460692.

Data Availability Statement

The datasets generated and analyzed during the current study are available from the corresponding authors upon reasonable request.

Acknowledgments

The authors would like to thank prof. Fang Wang and Jiabin Chen for their selfless help for our field efficacy trials.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
Rot Rotenone
SND Solid nanodispersion
Rot–SND Rotenone solid nanodispersion
EC Emulsifiable concentrates

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Figure 1. Characteristics of different Rot–SND formulations under different conditions. The average particle size and polydispersity index (PDI) of (a) six Rot–SND formulations at 25ºC before storage, (b) A2B1C1 before and after storage at different temperatures, and (c) A3B2C1 before and after storage at different temperatures. The Zeta potentials of (d) two Rot–SND formulations of A2B1C1 and A3B2C1 before and after storage at different temperatures. The error bars represent averages and standard deviations. Different letters in plot demonstrate significant differences at P < 0.05.
Figure 1. Characteristics of different Rot–SND formulations under different conditions. The average particle size and polydispersity index (PDI) of (a) six Rot–SND formulations at 25ºC before storage, (b) A2B1C1 before and after storage at different temperatures, and (c) A3B2C1 before and after storage at different temperatures. The Zeta potentials of (d) two Rot–SND formulations of A2B1C1 and A3B2C1 before and after storage at different temperatures. The error bars represent averages and standard deviations. Different letters in plot demonstrate significant differences at P < 0.05.
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Figure 2. The morphology and particle size distribution of the target Rot–SND formulation (A2B1C1). (a) SEM image, scale bar: 2 µm, (b) size distribution counted from SEM images, and (c) size distribution measured by DLS. Insert: the apparent state of Rot–SND dispersion at a Rot concentration of 500 mg/L.
Figure 2. The morphology and particle size distribution of the target Rot–SND formulation (A2B1C1). (a) SEM image, scale bar: 2 µm, (b) size distribution counted from SEM images, and (c) size distribution measured by DLS. Insert: the apparent state of Rot–SND dispersion at a Rot concentration of 500 mg/L.
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Figure 3. Wettability and retention of different Rot formulations. The contact angle (a) and retention (b) of Rot–SND, EC and water on cucumber (Cucumis sativus L.) and cabbage (Brassica oleracea L.) leaves. The error bars represent averages and standard deviations. Different letters and asterisks (*) in plot represent significant differences at P < 0.05.
Figure 3. Wettability and retention of different Rot formulations. The contact angle (a) and retention (b) of Rot–SND, EC and water on cucumber (Cucumis sativus L.) and cabbage (Brassica oleracea L.) leaves. The error bars represent averages and standard deviations. Different letters and asterisks (*) in plot represent significant differences at P < 0.05.
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Figure 4. (a) Photodegradation rate of three Rot formulations under UV radiation. (b) Field efficacy of Rot–SND and EC against Aphis gossypii at different time intervals after spaying. The error bars represent averages and standard deviations. Different letters and asterisks (*) in plot represent significant differences at P < 0.05.
Figure 4. (a) Photodegradation rate of three Rot formulations under UV radiation. (b) Field efficacy of Rot–SND and EC against Aphis gossypii at different time intervals after spaying. The error bars represent averages and standard deviations. Different letters and asterisks (*) in plot represent significant differences at P < 0.05.
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Figure 5. Impact of Rot–SND on the expression levels of 11 mitochondrial protein-coding genes (MtPCGs) in complex-I (a) and complexes III, IV and V (b) of A. gossypii after 48-h exposure at a rotenone concentration of 1.45 μg/mL. qRT-PCR was used to detect the fold changes of MtPCGs expression levels compared to each internal control (18S). Distilled water and a commercial Rot EC were used as the blank and positive controls, respectively. The error bars represent averages and standard deviations. Different letters in plot represent significant differences at P < 0.05.
Figure 5. Impact of Rot–SND on the expression levels of 11 mitochondrial protein-coding genes (MtPCGs) in complex-I (a) and complexes III, IV and V (b) of A. gossypii after 48-h exposure at a rotenone concentration of 1.45 μg/mL. qRT-PCR was used to detect the fold changes of MtPCGs expression levels compared to each internal control (18S). Distilled water and a commercial Rot EC were used as the blank and positive controls, respectively. The error bars represent averages and standard deviations. Different letters in plot represent significant differences at P < 0.05.
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Table 1. Variables and their levels for preparation of 5% Rot–SND.
Table 1. Variables and their levels for preparation of 5% Rot–SND.
Levels Variables
Rot/surfactant (A) Ethylan 992/EL–80 (B) Carriers (C)
1 1:3 4:6 Lactose
2 1:4 5:5 Galactose
3 1:5 6:4 Sodium benzoate
1 Surfactant represent a binary mixture of Ethylan 992 and EL–80.
Table 2. Visual analysis of particle size and PDI results of Rot–SND.
Table 2. Visual analysis of particle size and PDI results of Rot–SND.
Serial number Factors1 Particle size (nm) PDI
A B C D
1 1 1 1 1 161.70±3.81 0.25±0.06
2 1 2 2 2 181.80±2.46 0.29±0.02
3 1 3 3 3 293.60±6.85 0.40±0.02
4 2 1 2 3 141.20±8.43 0.24±0.04
5 2 2 3 1 233.10±14.13 0.22±0.04
6 2 3 1 2 152.10±9.69 0.23±0.04
7 3 1 3 2 239.60±10.23 0.22±0.05
8 3 2 1 3 122.80±6.94 0.19±0.03
9 3 3 2 1 138.70±6.78 0.20±0.02
Particle size
k1 212.37 180.83 145.53 177.83
k2 175.47 179.23 153.90 191.17
k3 167.03 194.80 255.43 185.87
R 45.33 15.57 109.90 13.33
PDI
k1 0.31 0.24 0.22 0.23
k2 0.23 0.24 0.24 0.25
k3 0.21 0.28 0.28 0.28
R 45.33 0.04 0.06 0.05
1 A: Rot/surfactant; B: Ethylan 992/EL–80; C: carrier type. Surfactant represent a binary mixture of Ethylan 992 and EL–80.
Table 3. Toxicities of Rot–SND and EC against Aphis gossypii1.
Table 3. Toxicities of Rot–SND and EC against Aphis gossypii1.
Formulations Regression curve LC50 (μg a.i./mL) 95% confidence limit χ2
Rot–SND y=0.67x–1.16 1.45±0.48 0.88–2.23 0.48
EC y=0.72x–0.46 4.36±0.87* 2.88–6.42 0.73
1 LC50 represents the median lethal concentration after 48-h exposure and is presented as mean ± standard deviation of three independent repeated experiments; The active ingredient (a.i.) represents rotenone; χ2 represents the chi-square value of a curve equation; The toxicity regression curve, 95% confidence limit and χ2 are presented as the integrated results of three independent repeated experiments; Asterisk (*) represents significant difference at P < 0.05.
Table 4. Toxicities of Rot–SND and EC against early fourth-instar Aedes aegypti larvae1.
Table 4. Toxicities of Rot–SND and EC against early fourth-instar Aedes aegypti larvae1.
Formulations Regression curve LC50 (μg a.i./mL) 95% confidence limit χ2
Rot–SND y=2.67x–2.52 8.79±0.49* 7.42–12.22 4.01
EC y=2.01x–0.85 2.63±0.44 1.41–3.95 6.19
1 LC50 represents the median lethal concentration after 48-h exposure and is presented as mean ± standard deviation of three independent repeated experiments; The active ingredient (a.i.) represents rotenone; χ2 represents the chi-square value of a curve equation; The toxicity regression curve, 95% confidence limit and χ2 are presented as the integrated results of three independent repeated experiments; Asterisk (*) represents significant difference at P < 0.05.
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