THE EFFICACY OF MICROENCAPSULATED BIOCIDAL PAINTS FOR THE CONTROL OF Aedes (STEGOMYA) albopictus SKUSE, 1894 UNDER LABORATORY CONDITIONS
R.V. OROPEZA†, R. PINAL†, S. DELACOUR†, C. CALVETE‡ and J. LUCIENTES†
† Department of Animal Pathology, University of Zaragoza, Agri-Food Institute of Aragon–iA2 (CITA- University of Zaragoza), 50013 Zaragoza, Spain.
642706@unizar.es; pinalr@unizar.es; delacour@unizar.es; jlucien@unizar.es
‡ Department of Animal Production and Health, Agri-food Research and Technology Center of Aragon (CITA), Agri-Food Institute of Aragon-iA2 (CITA- University of Zaragoza. 50059), Spain.
ccalvete@aragon.es
Cite this article as:
Oropeza, R.V., Pinal, R., Delacour, S., Calvete, C., Lucientes, J. (2022) “The efficacy of microencapsulated biocidal paints for the control of aedes (stegomya) albopictus skuse, 1894 under laboratory conditions”, Latin American Applied Research, 52(4) pp 371-375.
Abstract -- The effectiveness of polymers (paints) enriched with microencapsulated insecticides against Aedes albopictus was evaluated in laboratory conditions using the forced contact technique (WHO). Three formulations with different active ingredients (a.i.) combined with pyriproxyfen (PPF) were evaluated: one contained a pyrethroid (PY), and two were formulated with organophosphates (OP). The paints were applied on two types of surfaces and at two concentrations. Nulliparous adult females without blood ingestion were used to determine the knock-down effect (KD) in the first 30 minutes, and the mortality rate and time to reach 50% mortality (TD50) up to 72 hours. Ten bioassays were performed for 27 months after a single initial treatment of the surfaces.
A greater effect was observed when the surface was more porous and for the higher concentration of PY formulation (KD=25,4% IC 95% p>0.05 and TD50=16,1% IC 95% p>0.05). Each formulation showed a different degree of probability for KD and TD50 based on the a.i.
The implications for vector control are discussed based on studies of different formulations and concentrations of microencapsulated insecticides in laboratory and field bioassays on different surfaces.
Keywords -- Aedes albopictus, painting, microencapsulation, Inesfly®.
I. INTRODUCTION
Currently, emerging, and re-emerging vector-borne diseases continue to be a threat to public health in the context of globalization, urban development, changing lifestyles, and climate change (WHO, 2017). Therefore, control strategies based on synanthropic behavior have received increasing attention, especially with respect to the anthropophilic tendency of Ae. albopictus (Delatte et al., 2010). Females of this species voluntarily enter the interior of dwellings to feed on blood and rest, especially if they do not have abundant vegetation during the day to remain outdoors. Furthermore, in urbanized areas, Ae. albopictrus colonizes sewage systems, which provides it with abundant breeding and resting sites that facilitate its contact with artificial surfaces (Li et al., 2015; Montalvo et al., 2022).
One system used for the control of these vectors is the insecticide spraying of residual and thermal fogging (IRS) (Wahid et al., 2019). Even when the WHO recommended these treatments for indoor and outdoor applications, IRS could not produce the expected residuality. Moreover, if mosquito outbreaks persist, the treatments will be repeated at intervals that coincide with the vector life cycle (WHO, 2009).
Because the IRS enforcement system is highly restricted in some countries due to its impacts on human health (Gubler and Clark, 1996), an integrated pest control comprised of simultaneous methodologies combined with insecticidal paints (IP) could be more effective (Erlanger et al., 2008).
The use of paints incorporating insecticides (IP) increases the persistence of pesticides, which extends their period of action and decreases the number of applications to reduce overall costs in control campaigns. Conversely to conventional IRS, IP is easy to apply, so specific training or large-scale logistical planning is required (Schiøler et al., 2016).
In this study, we evaluated the efficacy of a paint-like polymer as a new microencapsulation system containing different insecticides in combination with an insect growth regulator (IGR) at a low concentration against Ae. albopictus adults. Treated surfaces received one insecticide treatment at the beginning of bioassays and were evaluated throughout the test.
According to Inesfly's technology, it is a microencapsulation process in which the active ingredients (a.i.), such as conventional insecticides and insect growth regulators (IGR) at low doses, are introduced into a matrix of polymeric nature formed by chains of vinyl polymers. This technology allows the gradual release of a.i. in function of the specific application of the substrate on which the microcapsules are deposited (Herrero, 2019).
II. METHODS
The study was carried out with a strain of, Aedes (Stegomyia) albopictus (Skuse, 1894) (Diptera: Culicidae) established and maintained since 2009 in the Parasitology Laboratory of the Faculty of Veterinary Medicine of the University of Zaragoza, Spain. For colony maintenance, the usual breeding protocols are used (Alarcón-Elbal et al., 2010). The mosquito colony has been used in several investigations and has not been previously exposed to insecticides.
In the colony, cohorts with approximately 400 adults were bred in 30×30×30 cm BugDorm-1® retention boxes (Mega View Science Education Services Co. Ltd., Taichung, Taiwan) with the same age and equal numbers of males and females. For bioassays, nulliparous females of 3-5 days of age were used and a solution of 10% commercial sugar was offered. Females were separated using a mouth vacuum and introduced immediately into the test cones. In each bioassay, 180 females were used.
The efficiency and residuality of formulations were assessed on different surfaces according to the imbibition power of the polymer. The three IP formulations with Inesfly technology® contained 5A NG IGR®= PY formulation (α-cypermethrin 0.7%; d-allethrin 1% + PPF 0.063%), 5A IGR®= OP formulation (diazinon 1.5%; chlorpyrifos 1.5% + PPF 0.063%) and 5D IGR®= OP formulation (diazinon 1.5% + PPF 0.063%). The IP formulations were applied on two surfaces: laminated plasterboard (Pladur®), which is considered more porous due to its absorption capacity, and pine pinewood slats, which are considered less porous.
The surfaces were cut into 13×13 cm2 to ensure the proper fit to the containment cones. Each type of surface was treated 48 hours before the beginning of the bioassays, following the manufacturer's recommendations. The paint was manually applied with a regular brush to each surface at two concentrations. We termed the lower concentration of 1 kg/6 m2 (recommended) simple primer, which consisted of a single layer of paint, and termed the higher concentration of 1 kg/3 m2 double primer, which comprised two layers applied 24 h apart.
For each formulation, three replicas were made, and control treatment consisted of the same type of paint without insecticides or IGR.
Toxicity bioassays were carried out according to the standard method of the WHO (1998). For each formulation treatment and control, groups of 10 females were introduced into the cones using a mouth vacuum and forced into contact with the surface. A comparative analysis of each formulation with the control group was carried out based on the potential mortality after 30 min, discriminating those individuals still affected using the KD.
An individual was registered as dead if the mosquito placed on a clean surface was without mobility nor any movement when was stimulated with a clamp for at least 5 min (WHO, 1994). Individuals, who were still alive, including those with only ataxia or lack of coordination, were withdrawn and transferred to hatchers (Mosquito Breeders; Bioquip Products Inc.) for subsequent mortality monitoring. Once in the hatchers, a 10% sucrose solution and cotton pieces moistened with dechlorinated water were placed on top of the grids of the air inlet hatcher. Immediately, we began counting the number of dead individuals for each replica, including its control, from 30 to 60 min after forced contact (KD), observing the accumulated mortality at 60 min, 24 h, 48 h, and 72 h. The mosquitoes that were dying remained inside the hatchers since there was a risk of causing death by the constant manipulation of individuals still alive. Ten individual bioassays were performed with a single initial treatment of the surfaces and distributed at three-month intervals. The entire experiment lasted 27 months
Statistical analysis: Due to the low variability between replicates, the results obtained for the three replicates of each bioassay were combined. The mortality rate each was corrected based on the mortality of control using Abbott's (Abbott, 1987) formula.
To assess the potential effect of surface, formulation, concentration, and time, on the KD effect and the mortality observed at different intervals post-exposure, we created a surrogate variable of mortality for this period which consisted of the time estimation (in hours) in that caused the death of 50% (TD50) of the specimens in each bioassay. For each interval (30 to 60 minutes, 24, 48, and 72 hours), the estimated time of death was calculated as the midpoint between that observation interval and the immediately preceding one.
For KD analysis, a multivariate logistic regression model (MLGz) was adjusted. The dependent variable of dichotomous nature was an indicator of whether the individual exhibited a KD effect at 30 minutes after exposure, using a logit link function (multivariate logistic regression). All experimental variables (surface, formula, applied concentration, and time) and their second-degree interactions were introduced as predictor variables in the initial model. All variables were categorical, except the time, which was a continuous variable representing the months elapsed since the first bioassay was performed.
For analysis of the TD50, a general multivariate linear model (GLM) was adjusted, with the TD50 as a dependent variable and the same predictors considered in the KD analysis, including their second-degree interactions.
Both models were adjusted considering the less porous surface (pinewood), the double concentration, and the 5D IGR® formulation as base levels of the categorical variables. To refine the initial statistical models and obtain a better fit in the final models, a better model selection algorithm based on the Akaike information criterion (AIC) was used (Akaike, 1973; Anderson et al., 2000).
III. RESULTS
Flip effect: The IP formulations of 5A NG IGR® and 5A IGR® showed a significantly high KD effect of 100% up to 12 months. Subsequently, these formulations presented values of 90% of females affected. Both concentrations of 5D IGR® formulations exhibited the lowest KD effect, which was never higher than 70% and progressively decreased reaching 30-40% in the last bioassay.
The final model adjusted to the entire KD data preserved eight parameters that explained 77% of the deviation (Table 1). According to the final model obtained, main effects showed that, in general, the KD magnitude was higher on the most porous surface (plaster) and lower at the recommended concentration. Additionally, KD probability was highest for 5A NG IGR®, medium for 5A IGR® and lowest for 5D IGR®.
Table 1. Estimated coefficients for the best final logistic regression model obtained according to the Akaike criterion (AIC)
|
Effect |
Level of effect |
Coefficient |
ES |
Wald Stat. |
p |
|
Intercept |
0.88 |
0.02 |
1099.19 |
<0.001 |
|
|
Surface |
Plaster |
0.03 |
0.02 |
2.09 |
0.148 |
|
Applied Concentration |
1 kg/6 m2 |
-0.04 |
0.01 |
10.41 |
<0.001 |
|
Formulation |
5A IGR® |
0.05 |
0.03 |
2.1 |
0.147 |
|
Formulation |
5A NG IGR® |
0.09 |
0.03 |
6.77 |
<0.009 |
|
Month |
-0.01 |
0.01 |
54.98 |
<0.001 |
|
|
Surface x applied Concentration |
1 |
0.02 |
0.01 |
3.71 |
0.053 |
|
Surface x Formulation |
1 |
0.09 |
0.01 |
24.65 |
<0.001 |
|
Surface x Formulation |
2 |
-0.08 |
0.01 |
18.41 |
<0.001 |
|
Surface x Month |
1 |
0.02 |
0.01 |
2.91 |
0.087 |
|
Formulation x Month |
1 |
-0.03 |
0.02 |
2.5 |
0.113 |
|
Formulation x Month |
2 |
0.011 |
0.02 |
24.29 |
<0.001 |
The dependent variable was the KD effect encoded as a binary variable.


Figure 1. Minimum squared values (95% CI) estimated by the final regression model for the probability of the KD effect.
A= Interaction of the effect of the type of surface and the applied dose (recommended vs. double). KD probability depends on the surfaces type and the dose applied: 1 kg/6 m2 (recommended); 1 kg/3 m2 (double). B= Interaction between the type of surface and formulation. KD probability depends on the application surface, more porous (plaster) or less porous (pinewood), depending on the applied formula.
5A NG IGR®= α-cypermethrin 0.7%, d-allethrin 1%, PPF 0.063%; 5A IGR®= diazinon 1.5%, chlorpyrifos 1.5%, PPF 0.063%; 5D IGR®=diazinon 1.5%, PPF 0.063%.
The interactions retained in the final model also showed that the effects of both the concentration applied and formulation were conditional on the type of surface (Fig. 1A and 1B). Thus, the difference in the KD probability estimated for both concentrations was lower when surface was more porous, whereas KD effect of 5A IGR® was considerably decreased when applied on less porous surface.
Regarding the elapsed time (months), the negative sign coefficient indicates a loss of residuality for the KD effect throughout the experiments (Table 1, Fig. 2).

Figure 2. Minimum squared values (95% CI) estimated by the final regression model for the probability of the KD effect.
Probability of the KD as a function of the formulation applied and the time (months).
5A NG IGR®= α-cypermethrin 0.7%, d-allethrin 1%, PPF 0.063%; 5A IGR®= diazinon 1.5%, chlorpyrifos 1.5%, PPF 0.063%; 5D IGR®= diazinon 1.5%, PPF 0.063%.
The interaction between the formulation and time (month) shows marked differences in the residual effect of each formulation. (Estimated decrease of 2% for 5A NG IGR® (IC 95% p>0.05) vs. 44,5–73,2% 5A IGR® and 5D IGR® respectively) The KD was significantly higher (100%) with PY (5A NG IGR®) vs. OP (5A IGR® and 5D IGR®), even up to 27 months, regardless of the type of surface or concentration applied.
Mortality TD50-- 5A NG IGR® and 5A IGR® produced mortality rates of 100% after 48 hours post-exposure at high concentration in the porous surface (plaster) in all bioassays, whereas mortality rates of 90% at 72 hours, and 80-90% in the last bioassays, were recorded for 5D IGR®.
The final model adjusted to TD50 preserved seven parameters with an explained variance of 48%: the effects of two main variables, surface, and time (months), and five interactions (Table 2). The effect of the surface on the TD50 varied with the concentration and/or formulation applied, and the elapsed time. Also, the type of formulation conditioned the variation of the TD50 (Fig. 3A, B).
The interaction between surface type and time (months) showed
differences in the residual effect of each surface, and the TD50 for
the most porous surface remained almost unchanged in all bioassays. The TD50
Table 2. Estimated coefficients for the best final linear regression model obtained according to the Akaike criterion (AIC).
|
Effect |
Level of effect |
Coefficient |
ES |
Wald Stat. |
p |
|
Intercept |
15.96 |
1.91 |
69.62 |
<0.001 |
|
|
Surface |
Plaster |
7.5 |
1.91 |
15.39 |
0.001 |
|
Month |
0.46 |
0.11 |
16.78 |
<0.001 |
|
|
Surface x applied Concentration |
1 |
-2.6 |
0.97 |
7.07 |
0.007 |
|
Surface x Formulations |
1 |
3.7 |
1.38 |
7.16 |
0.007 |
|
Surface x Formulations |
2 |
-6.5 |
1.38 |
22.11 |
<0.001 |
|
Surface x Month |
1 |
-0.37 |
0.11 |
11.21 |
0.008 |
|
Applied Concentration x Month |
1 |
0.19 |
0.05 |
11.05 |
0.009 |
|
Formulations x Month |
1 |
0.21 |
0.08 |
7.16 |
0.007 |
|
Formulations x Month |
2 |
-0.5 |
0.08 |
37.52 |
<0.001 |
The dependent variable was the median time to death (TD50)


Figure 3. Least squares values (95% CI) estimated by the final regression model for the median probability of death to 50% death (TD50).
A= TD50 according to the type of surfaces and the dose applied: 1 kg/6 m2 (recommended); 1 kg/3 m2 (double). B= TD50 according to the type of surface, more porous (plaster) or less porous (pinewood), and formulations applied.
5A NG IGR®= α-cypermethrin 0.7%, d-allethrin 1%, PPF 0.063%; 5A IGR®= diazinon 1.5%, chlorpyrifos 1.5%, PPF 0.063%; 5D IGR®= diazinon 1.5%, PPF 0.063%.
for the less porous surface was significantly lower but it was noticeably much more effective at the beginning of the test. The effect between the type of formulation and the time (month) also showed differences between formulations containing PY vs. OP, i.e., the TD50 of the three formulations at the start of the test was similar, but 5A NG IGR® (PY) maintained its efficacy throughout the test and the effect that was further increased at the high concentration.
IV. DISCUSSION
The IRS insect vector control strategy is widely used. However, IRS is partially used because mosquitoes tend to rest inside dwellings after feeding, leading to increased synanthropic interactions (Fullman et al., 2013). In this regard, it has been reported the microencapsulation methodology that includes the use of IP shows better results since its effectiveness was demonstrated on different surfaces (Mashauri et al., 2017; Acharya et al., 2021; Ngwej et al., 2021). The active ingredients are gradually released according to the treated area, the type of surface, the concentration applied, and the residual effect.
Studies performed with the same IP microencapsulation technology (Inesfly®) in field and laboratory conditions have proven its effectiveness. Although these studies did not all use the same a.i. as in this study, we cite some: Anopheles gambiae; Culex quinquefasciatus (Mosqueira et al., 2010a, 2010b, 2015); Rhodnius prolixus (Oliveira Filho, 1997); Triatoma infestans (Gemio Alarico et al.,2010; Gorla et al., 2015; Dias and Jemmio, 2008; Maloney et al., 2013; Amelotti et al., 2009; Banjara et al., 2019); and Estegomya albopicta= Aedes albopictus (Yao et al.,2015; Junnila et al., 2015).
Mosqueira et al. (2010a) compared the effectiveness of the IP formulation (5A IGRMT) in the laboratory against mosquitoes of the genus Culex. The formulations applied were composed of two OPs, chlorpyrifos (1.5%), diazinon (1.5%), and pyriproxyfen (0.063%) to the two types of surfaces, demonstrating high mortality (87–100%) up to six months on less porous surfaces. Furthermore, one-year post-treatment recorded high mortality rates (93-100%) on less porous surfaces (pinewood) for both concentrations. However, the high effectiveness of a.i. on porous surfaces disappeared six months after treatment against resistant and susceptible mosquitoes. Compared with our results, although the TD50 at the onset of the experiments was similar for both PY and OPs, PY (5A NG IGR®) was not affected by the degradation of a.i. and maintained their residual effectiveness throughout the trial. However, the degradation of the a.i. in the OPs (5A IGR® and 5D IGR®) decreased their effectiveness by 52% for both at 27 months, so it could be assumed that the type of surface affects the efficiency, especially for the most porous types, since surfaces with a less dense porosity (plaster) were used in this study compared with those used by Mosqueira et al. (2010a). However, the nature of the surface may be one of the most important factors in the effectiveness of any PI (Correa et al., 2019).
Previous research (Jenson et al., 2009) observed that the surface to which PIs are applied, especially more porous surfaces, generally results in lower effectiveness compared to a less porous one, though the environmental conditions to which it is exposed may influence its residual effectiveness (Bennett et al., 2010).
Another factor may be the concentration applied to each surface, as two-layer treatment results in a longer duration of efficacy. Gunasekaran et al. (2005) described the difficulty of achieving good surface coverage to estimate the reduction of the IRD. Therefore, increased coverage of treatment may lead to an increase in the duration of IRD suppression. Other authors, such as Ratti et al. (2018), suggested that additional spraying or the use of two layers (double concentration) on 50% of the surfaces to be treated was effective in reducing the IRD and as effective as using a single layer on 70% of the surface.
When analyzing the mortality data, it was necessary to quantify the survival of the exposed individuals, as the type of surface, formulation, and concentration affect the TD50, which was be maintained or increased in each bioassay as time passed.
Although both surfaces produced similar mortality rates, the TD50 on the less porous surface increased significantly when the concentration was doubled, i.e., the TD50 on the less porous surface was 1.7 times faster than for the most porous surface at high concentration with an approximate difference of 9.2 hours. To produce the TD50 in a shorter time, the surface conditions were 37.5% more effective if the concentration was doubled. The most important issue demonstrating the high residuality of the PI is the degradation or volatilization of the insecticides applied in these surfaces (Arthur et al., 2009), in addition to factors that could condition their efficacy and residuality, such as the concentration, formulation of the a.i. and especially the type of surface.
The variables analyzed did not allow to elucidate whether the mortality after KD was produced by its interaction with the i.a. or by underlying mechanisms, since not necessarily the lethal action could be associated with the type of i.a. (Alzogaray et al., 1997). This contrasted with mortality, which could have occurred after survival to KD (Briggs et al., 1976) and may have depended on factors such as the insecticidal interaction of each formula, the faster penetration of a.i. to the mosquito, the concentration or availability of release of microcapsules with respect to the type of surface and metabolic degradation. However, the persistence of the above-mentioned effects related to subsequent mortality was constant and effective at the start of bioassays, especially in PY (5A NG IGR®) and OP diazinon + chlorpyrifos (5A IGR®). On the contrary, the formulation with a single i.a. OP (5D IGR®) presented a lower lethality, which was gradually decreasing, evidencing that the surface in relation to the i.a. influenced its effectiveness. We must clarify that, the determination of the probability of KD was reduced as the a.i. of the three formulations degraded over time, especially for OPs. This suggests that, in determining the correlation between the rate of KD and TD50 for each treatment, it is possible that all individuals with the KD effect could have presented a false diagnosis of death, regardless of the lethal effect of each i.a.
Similar studies by Ajayi et al. (2020) observed a KD rate of 100% for mosquitoes within 10 min after exposure in the first two months, and a lengthening of the time of the KD due to degradation of the active ingredients. Unlike our results, the combined OPs diazinon and chlorpyrifos (5A IGR®) recorded high KD effects (90%) even up to 24 months, although variations in their efficacy were evident, especially for the less porous surface. These differences were maintained even a high concentrations. Therefore, when the surface is more porous, the KD increases, which may imply that the properties and porosity of the surface facilitate the exit of microcapsules (Williams et al., 1982).
The basis of comprehensive control strategies must be decisive, especially in developing countries, as communication and assessments of changes in social behavior on vector-borne diseases are steadily increasing, and new methodologies for the control and management of IRS programs are gaining acceptance (Kebede et al., 2020). The use of methodologies for the microencapsulation of insecticides that are more sustainable for the environment or the use of nanoparticles containing insecticides could be investigated (Norris et al., 2020), whether chemically or biologically based.
V. CONCLUSIONS
Compared to other mosquito species (Mosqueira et al., 2010a; 2010b), in our study, the IP analyzed under laboratory conditions could have significant efficacy on one of the species of the genus Aedes, and its application on similar surfaces or concentrations and their interactions confirm their interest in the control of this species. Therefore, even after 27 months of a single initial application, the results showed high mortality (100%). Reaffirming the effectiveness and residuality of PY (5A NG IRG®) vs. OP (5A IGR® and 5D IGR®) allows for us to reach the following conclusions:
The results show that the efficacy of PY-based formulations is not conditioned by the type of surface or concentration and they maintain residuality up to 27 months after a single treatment.
For the residuality, the coefficient of the model indicates that the number of hours elapsed from the first 30 minutes to the death of 50% of the specimens (TD50) was greater for a more porous surface. This conditioning was affirmed by the type of surface and the contraction, but not by the type of microencapsulated a.i. However, the high concentration did not affect the TD50 of the more porous surface but the TD50 is reduced on the less porous surface. That is, in the latter case, mortality occurred in a shorter time, although this result may be conditioned by the type of active ingredient.
Conversely, if the surface is less porous, its effectiveness may be greater initially, although the higher mortality in the lowest number of hours in our study was recorded with PY (5A NG IGR®) on a more porous surface. If a surface is more porous, TD50 mortality occurs more effectively in a shorter time in the presence of PY or with OP. However, on a more porous surface and at a recommended concentration, the mortality values were significantly lower than on a double-primed surface.
Because the chemical composition of insecticides in microcapsules may contribute to a variation in bioavailability on less porous surfaces, no differences were observed in the mortality estimates, and the TD50 was similar for all three formulations.
Long-term assessments on Aedes mosquito populations in field conditions should be performed to complement control programs in areas of high epidemiological risk, such as Latin America or Africa, and include other vector species (leishmaniasis).
According to our results, IP could become an effective additional tool for the control of Ae. albopictus, as formulations with mixtures of insecticidal ingredients with greater residual powder provide greater efficacy.
Acknowledgment
This study was funded by SGI Project Number 218304 of the Department of Science, Technology and University of the Diputación General de Aragón and the Social and Cultural Work of Ibercaja.
It was partially supported by the Research Group Funds of the Government of Aragon (A05-17R).
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Received: August 16, 2021
Sent to Subject Editor: September 16, 2021
Accepted: April 23, 2022
Recommended by Subject Editor Maria Laura Foresti