Efficacy and Residual Activity of Novaluron on Anopheles coluzzii and Anopheles arabiensis in Laboratory and Semi-Field Conditions in Senegal

Abstract

Vector control methods have significantly reduced malaria transmission. However, challenges such as insecticide resistance and behavioral adaptation of vectors highlight the urgent need for alternative control measures. Novaluron, an insect growth regulator, was evaluated following the World Health Organization Pesticide Evaluation Scheme. Laboratory bioassays were carried out using third (L3) fourth instar (L4) larvae and pupae of Anopheles coluzzii and Anopheles arabiensis. At the experimental station, efficacy and residual activity were assessed exclusively on L3, with multiple diagnostic doses (DD) for each species. In the laboratory, emergence inhibition (EI) 50% and 99% values on L3 were 0.145 and 0.29 μg/l for An. coluzzii and 0.37 and 0.69 μg/l for An. Arabiensis, on L4, 1.95 and 3.61 μg/l for An. coluzzii and 2.76 and 5.02 μg/l for An. arabiensis. For pupae, EI50 and EI99 values were 145 and 265 μg/l for An. coluzzii and 428.37 and 714.13 μg/l for An. arabiensis. At the experimental station, An. coluzzii showed respectively 86% and 77,08% cumulative mortality (CM) and emergence inhibition rate (EIR) by day 33 at 6 μg/l. For An. arabiensis, 84% CM and 77.08% EIR were observed by day 40 at 15 μg/l. Anopheles coluzzii and An. arabiensis are susceptible to Novaluron at low concentrations under laboratory conditions. At optimal doses, Novaluron effectively inhibits both pupation and adult emergence.

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Tall, M.F., Diédhiou, S.M., Gueye, O.K., Diop, M., Niang, A., Sylla, K., Thiaw, O., Diouf, E.H., Dia, A.K., Samb, B., Sy, O., Konaté, A., Faye, M.B., Faye, O., Dia, I., Konaté, L. and Niang, E.H.A. (2026) Efficacy and Residual Activity of Novaluron on Anopheles coluzzii and Anopheles arabiensis in Laboratory and Semi-Field Conditions in Senegal. Advances in Entomology, 14, 179-193. doi: 10.4236/ae.2026.143011.

1. Introduction

Mosquitoes are vectors of numerous pathogens responsible for major diseases such as malaria, which remains one of the leading cause of morbidity and mortality worldwide [1]-[3]. In developing countries, particularly across intertropical Africa, malaria continues to represent the most significant public health challenge [4]. In 2023 alone, an estimated 263 million new cases and 597,000 deaths were recorded globally, with 95% of cases occurring in Africa [5]. Furthermore, malaria also imposes a major economic burden, with Africa losing approximately £12 billion annually due to healthcare costs, reduced productivity, and lost economic opportunities [6]. Investments in malaria control reached US$4.1 billion in 2022, compared to US$3.5 billion in 2021 and US$3.3 billion in 2020 [5]. According to the World Health Organization (WHO): World Malaria Report 2024, the five countries with the highest malaria burden are Nigeria (25.9%), the Democratic Republic of the Congo (12.6%), Uganda (4.8%), Ethiopia (3.6%) and Mozambique (3.5%). Together, these countries account for more than half of all malaria cases worldwide. Their contribution to malaria mortality is equally alarming: Nigeria alone accounts for 30.9% of global deaths, nearly 40% of which occur in children under 5 years, while the DRC and Mozambique account for 11.3% and 3.0%, respectively [7]. Vector control remains the cornerstone of malaria prevention, relying primarily on long-lasting insecticide-treated mosquito nets (LLINs) and indoor residual spraying (IRS), as recommended by the World Health Organization [8]. Throughout sub-Saharan Africa, where over 90% of the global malaria burden is concentrated, LLINs and IRS have significantly reduced vector densities and malaria incidence [9]. Although these insecticide-based interventions have produced encouraging results, their effectiveness is increasingly challenged by three major issues [10]: inadequate coverage and/or insufficient use of LLINs; behavioral changes in vector populations (e.g., outdoor biting, early biting); widespread and growing insecticide resistance. These limitations highlight the urgent need for alternative or complementary vector control strategies. One promising approach is larval source management (LSM), which includes the use of chemical or biological larvicides to target mosquito immatures [11] [12]. This technique aims to reduce vector density by killing larvae and pupae or preventing the emergence of adult mosquitoes [12] [13]. Although larviciding has proven consistent success and has gained renewed interest across Africa [14] [15], its large-scale implementation is often hindered by operational challenges, including resistance development, high costs and the difficulty of achieving sufficient coverage of breeding habitats. Chemical larvicides such as temephos or Bacillus thuringiensis (Bti) have shown declining effectiveness due to resistance and limited residual activity [16] [17]. Consequently, insect growth regulators (IGRs) have emerged as a promising class of alternatives for LSM [18]. Insect growth regulators exhibit high specificity and a favorable safety profile most non-target organisms, offering important advantages for integration into mosquito control programs [19]. Several IGR compounds have demonstrated strong larvicidal activity against mosquito species of the genera Culex [20], Aedes [21] and Anopheles [22]. Novaluron, a benzoylurea IGR, inhibits the synthesis of chitin and disrupts the moulting process, thereby preventing successful development of mosquito larvae. According to WHO, Novaluron has a wide safety margin for mammals, birds, earthworms and aquatic plants, although it is highly toxic to crustaceans [23]. It has a demonstrated strong activity against several insect orders including Lepidoptera, Coleoptera, Hemiptera and Diptera [18]. Despite its potential advantages for managing mosquito populations and reducing malaria transmission, no studies have yet evaluated in Senegal within the context of malaria vector control. This study was therefore designed to assess the efficacy and residual activity of Novaluron under laboratory and semi-field conditions, following standardized procedures of the WHO Evaluation Scheme (WHOPES).

2. Materials and Methods

2.1. Study Site

The study was conducted at the Laboratoire d’Ecologie Vectorielle et Parasitaire (LEVP) of Cheikh Anta Diop University (UCAD), Dakar. The laboratory operates an insectary maintaining several Anopheles strains, including An. coluzzii strain from Cameroon, An. arabiensis strain from Dakar, maintained for several generations, and the An. gambiae s.s. (Kisumu) strain from Kenya. The facility also includes a controlled experimental station for larvicide evaluation.

2.2. Insect Growth Regulator Used for Efficacy Testing

Novaluron, 1-[chloro-4-(1, 1, 2-trifluoro-methoxyethoxy) phenyl]-3-(2,6-difluorobenzoyl) urea] is an IGR developed by Makhteshim-Agan Industries Ltd and supplied by Syngenta [24]. It acts as a chitin synthesis inhibitor (CSI) belonging to the benzoylurea chemical class.

2.3. Laboratory Tests

2.3.1. Biological Material

Stage III and IV larvae, as well as pupae from two Anopheles species were used in laboratory bioassays: An. coluzzii, a laboratory strain maintained for several generations and known to be susceptible to DDT and pyrethroids, An. arabiensis, a laboratory-maintained strain. To determine the activity range of the product, larvae and pupae were initially exposed to concentrations ranging from 0.01 µg/l and 1000 µg/l. Next, sixteen (16) concentrations were selected: five (5) doses for stage III larvae (0.01 µg/l; 0.05 µg/l; 0.1 µg/l; 0.5 µg/l and 1 µg/l); 5 doses for stage IV larvae (1 µg/l; 2 µg/l; 3 µg/l; 4 µg/l and 5 µg/l) and 6 doses for pupae (100 µg/l; 200 µg/l; 300 µg/l; 600 µg/l; 700 µg/l and 750 µg/l ug/l).

2.3.2. Preparation of Test Solutions

A stock solution was prepared following WHO recommendations [23]. A 1% stock volume was obtained by adding 10 ml of the product stock solution to 990 ml of distilled water, yielding a concentration of 1000 mg/L. This solution was then diluted ten times by mixing 2 ml of the stock solution with 18 ml of distilled water. Serial dilutions were subsequently prepared, and aliquots (100 - 1000 µl depending on the target concentration) were added to enamel-coated trays containing 250 ml of tap water and 25 larvae, or plastic cups containing 100 ml and 25 pupae. Disposable pipettes were used for transfer, with separate pipettes for treating and control batches to avoid cross-contamination. Each concentration was tested with four replicates, and an equivalent number of controls. The entire experiment was repeated three times on separate days. Larvae were fed every two days with Tetramin® fish food and development status (larvae, pupae and adults) were recorded daily until all individuals had either emerged or died. Live pupae from each tray were transferred to plastic cups containing 25 ml of water from the original tray for emergence monitoring.

2.3.3. Environmental Conditions

During the tests, temperature ranged from 24 to 27˚C, with a relative humidity of 80% ± 10% and a 12:12 light-dark photoperiod.

2.3.4. Effect of Novaluron on Pupation Rate

The effect of novaluron on larval mortality was assessed to determine pupation inhibition rates (PI%). Moribund larvae, dead larvae and pupae that had not fully completely separation from the larval exuviae were classified as affected by novaluron. Data from all replicates were pooled to calculate the mean number of larvae impacted per concentration.

2.4. Experimental Station Trial (Semi-Natural Conditions)

The semi-natural tests were conducted at the experimental station located on the premises of the former Geological and Mining Research Office (GMRO), which currently hosts the Laboratoire d’Ecologie Vectorielle et Parasitaire (LEVP).

The station consists of a 20 m2 enclosed structure, delimited by a 1 m high wall topped with a plastic mosquito net extending to a transparent plastic roof. This setup allows natural sunlight to penetrate while preventing the containers from being filled by rainwater and avoiding contamination from external mosquitoes or other insects. Inside the enclosure, ten white-bottomed plastic batches (48 cm × 37 cm × 23 cm) were arranged on the ground in two rows of five, spaced at least 1 m apart. Each bin was covered with a removable mosquito net equipped with a sleeve to facilitate the collection of pupae and emerging adults during follow-up.

Following the two laboratory experiments, DD was established (double of EI99), and two monitoring cycles were initiated at the experimental station using third-instar larvae of the two Anopheles species tested. For each species, three concentrations, expressed as multiples of the DD, were evaluated. Monitoring of An. coluzzii was carried out for 33 days at concentrations of 0.6 µg/l, 3 µg/l and 6 µg/l and that of An. arabiensis was carried out for 40 days at concentrations 1.5 µg/l, 7 µg/l and 15 µg/l.

2.4.1. Collection of Wild Larvae

Anopheles coluzzii larvae used for the tests under semi-natural conditions came from the insectarium. The wild larvae used at the experimental station are of the An. arabiensis species, collected from the Dakar suburbs. In fact, entomolgical studies to characterize larval habitats, as well as the molecular identifications carried out annually by the LEVP, always revealed the exclusive presence of An. arabiensis in Dakar [25] [26]. Larval surveys were conducted at larval breeding sites to collect aquatic stages of wild An. arabiensis used during the trials. Larvae were sampled using the dipping method [27], which consists in approaching the water body with caution, visually inspecting it for the presence of Anopheles larvae, and dipping a ladle or tray into calm, sunlit, shallow areas where larvae are most likely to concentrate. The characteristics and geographical coordinates of each surveyed breeding site were recorded. The Anopheles larvae collected were sorted by developmental stage and transferred into containers filled with water from their original breeding site for transportation to the experimental station.

2.4.2. Experimental Setup

Under semi-natural conditions, a total of eight batches were used, i.e. four batches per species (one for each concentration and one for control). Each treated batch contained 3 liters of dechlorinated tap water, 50 larvae and the volume of Novaluron solution required to achieve the desired concentration. The two control batches contained only 50 larvae and 3 liters of dechlorinated tap water. New lots of 50 larvae were introduced into the containers whenever the previous lots were depleted due to adult emergence or mortality. No additional water was added to the containers during the monitoring period, although a slight drop in the water level was noted.

2.5. Test Validation Criteria

In both laboratory and semi-natural conditions, test validity was determined based on larval or pupal mortality and pupation rates observed in the control groups. The test was considered invalid if the pupation rate in the control was greater than 10% within 24 hours following treatment, or control mortality was ≥20%. The test was considered valid if control mortality was < 5% and the pupation was < 10%. When control mortality ranged between 5% and 20%, emergence in the treated groups was corrected using Abbott’s formula (1925).

Adjusted mortality= % survival in control group% survival in treatment group %survival in control group ×100

2.6. Analysis and Interpretation of Results

As with all insect growth regulators, the efficacy and persistence of Novaluron were assessed by calculating the emergence inhibition rates, cumulative mortality and pupation inhibition rate using the following formulas:

Emergence Inhibition Rate (EIR)

EIR( % )=100 T100 C

T is the percentage survival in the treated group and C is the percentage survival in the control group

Cumulative Mortality (CM)

CM (%) = LM + PM + AM

LM is the Larval mortality; PM the pupal mortality and AM the Adult mortality

Pupation Inhibition (PI)

PI( % )=100 T100 C

T is the percentage of pupation in the treated batch and C is the percentage of pupation in the control group.

The concentrations causing 50% and 99% inhibition (IC50 and IC99) were determined using dose-response curve analysis in XLStat version 2022.

A chi-square test was used to compare emergence inhibition, larval, pupal and adult mortality rates, as well as the percentage of adult emergence between treatment groups. Statistical significance was set at p ≤ 0.05.

3. Results

3.1. Laboratory Tests

Larvae tests: Dose-response assays showed that Novaluron affected adult emergence in An. coluzzii and An. arabiensis at very low concentrations. For L3, inhibition of emergence was observed at doses ranging from 0.01 to 0.5 µg/l, whereas for L4, effective concentrations ranged from 1 to 6 µg/l (P = 0.337 and P = 0.957), respectively.

The minimum doses that completely inhibited adult emergence were estimated at 0.03 - 0.07 µg/l for L3 and 3.65 - 5.05 µg/l for L4.

Pupation inhibition rates were generally high for all concentrations tested on both species at the L3 and L4, ranging from 58.33 to 100%, except for the 0.01 µg/l concentration in An. arabiensis (25%, P < 0.05). However, none of the concentrations tested on L4 achieved complete inhibition of pupation (Table 1).

Emergence inhibition rates (EIR) were also high for both species, ranging from 54.54 to 100%.

The data from the three independent dose-response series showed consistent trends for both species. They were therefore pooled by concentration to estimate overall emergence inhibition (EI); EI50, and EI99 and DD (Tables 1-2). For L3, EI50 and EI99 values were low: 0.145 and 0.29 µg/l for An. coluzzii; 0.37 and 0.69 µg/l for An. arabiensis. For L4, higher concentrations were required: 1.95 and 3.61 µg/l An. coluzzii strain; 2.76 and 5.02 µg/l for An. arabiensis (Table 2).

Table 1. Pupation and adult (inhibition rate) of pupation in Anopheles coluzzii (insectary strain) and Anopheles arabiensis (Dakar population) exposed at the L3 and L4 stages to different concentrations of Novaluron.

Larval stages

L3

L4

Doses (µg/l)

0.01

0.05

0.1

0.5

1

1

2

3

5

6

Pupation inhibition (%)

An. arabiensis

25

75

83.33

87.5

100

58.33

70.83

75

70.83

84.16

An. coluzzii

66.66

87.5

95.83

100

100

75

79.16

66.66

79.16

91.66

Emergence inhibition (%)

An. arabiensis

62.5

82.96

91.48

91.48

100

54.54

72.72

81.81

72.72

100

An. coluzzii

73.91

86.95

95.65

100

100

85.71

90.48

80.95

100

100

Table 2. EI50, EI99 values, 95% confidence intervals (CI) and diagnostic doses (DD) for L3, L4 and pupal stages of Anopheles coluzzii and Anopheles arabiensis exposed to Novaluron.

Stages

EI50 (µg/l)

CI95 (%)

EI99 (µg/l)

CI95 (%)

DD (µg/l)

An. coluzzii

L3

0.145

0.052-0.246

0.29

0.0929-0.447

0.58

L4

1.95

0.822-3.077

3.61

1.53-7.59

7.22

Pupae

145

107-182

260

193-326

520

An. arabiensis

L3

0.37

0.195-0.54

0.69

0.357-1.21

1.376

L4

2.76

1.852-3.349

5.02

3.41-6.07

10.04

Pupae

428.37

372.33-520

714.13

650-788.5

1428.26

Pupae test: The pupal bioassay demonstrated the contact mode of action of Novaluron, with activity observed at concentrations ranging from 100 to 750 µg/l (Figure 1). The EI50 and EI99 values pupae were higher than those for larvae: 145 µg/l and 260 µg/l for An. coluzzii, 428.37 and 714.13 µg/l for An. arabiensis. Overall, An. coluzzii was significantly more susceptible to Novaluron than An. arabiensis (P = 0.03).

Figure 1. Cumulative mortality of Anopheles coluzzii (insectary strain) and Anopheles arabiensis (Dakar population) pupae and adults following exposure to Novaluron.

3.2. Experimental Station Trial

Anopheles coluzzii: The CM in the control batches was very low throughout the monitoring period. By day 11, all concentrations tested (0.6 µg/l, 3 µg/l and 6 µg/l) resulted in 100% CM and complete emergence inhibition (EIR = 100%). No pupation was observed at any of these doses.

By day 21, only the 6 µg/l concentration maintained complete CM. At 0.6 µg/l and 3 µg/l, it reached 86% and 94%, respectively. Larval mortality ranged from 68% at 0.6 µg/l to 82% at 6 µg/l, PM from 12% to 20%, and AM from 4% to 6%. Emergence inhibition rates ranged from 78.26% to 95. 65% at 0.6 µg/l (P between 0.057 and 0.924) (Figure 2 and Table 3).

At day 33, CM ranged between 68 and 86%. Larval and pupae mortality were similar respectively between the 0.6 µg/l and 3 µg/l doses (LM: 34% and 38%; PM: 24% and 28%, P = 0.91). Emergence Inhibition rate varied between 56.25% and 77.08%. No significant difference was detected between CM across the tested concentrations (P = 0.674) during the entire monitoring period. However, a significant difference was observed in the LM values for the 0.6 µg/l dose between day 11 and day 33 (100% vs. 34%, P < 0.001) (Figure 2 and Table 3).

Figure 2. Cumulative mortality (CM) of L3 larvae, pupae and adults of Anopheles coluzzii (insectary strain) following exposure to Novaluron in the experimental station trial. **: End of monitoring of the 50 larvae and reintroduction of 50 new larvae; *: End of monitoring of the 50 larvae.

Table 3. Mortality of Anopheles coluzzii (insectary strain) L3 larvae, pupae and adults after exposure to Novaluron over 33 days.

Days (D)

Doses (µg/l)

Parameters (%)

D11

D21

D33

Control

LM

2

0

2

PM

0

2

0

AM

2

0

2

LA

96

98

96

EIR

-

-

-

0.6 µg/l

LM

100

68

34

PM

0

12

24

AM

0

6

10

LA

0

14

32

EIR

100

78.26

56.25

3 µg/l

LM

100

70

38

PM

0

20

28

AM

0

4

14

LA

0

6

20

EIR

100

89.13

64.58

6 µg/l

LM

100

82

58

PM

0

14

20

AM

0

4

8

LA

0

0

14

EIR

100

95.65

77.08

LM: Larval mortality; PM: pupal mortality; AM: Adult mortality; LA: Living adults; EIR: Emergence Inhibition Rate.

Anopheles arabiensis: As with An. coluzzii strain, mortality in the control batches was very low throughout the monitoring period. On Day 10, CM and an EIR of 100% were achieved with all tested concentrations (1.5 µg/l, 7.5 µg/l, and 15 µg/l). No pupation or emergence was observed (Figure 3 and Table 4).

Figure 3. Cumulative mortality (CM) of L3 larvae, pupae and adults of Anopheles arabiensis (Dakar population) following exposure to Novaluron in the experimental station trial. **: End of monitoring of the 50 larvae and reintroduction of 50 new larvae; *: End of monitoring of the 50 larves.

On Day 19, only the 15 µg/l concentration provided complete CM; for the 1.5 µg/l and 7.5 µg/l, it was, respectively, 82% and 90%, with EIR ranging from 76.16% to 93.75%. Larval mortality ranged from 68% at 1.5 µg/l to 80% at 15 µg/l; PM, from 12 to 16%; and AM, from 6% to 20% were observed. No significant difference was observed between the CM and the EIR values for the three doses (P ranging from 0.058 to 1) (Figure 3 and Table 4).

On Day 29, CM ranged from 76 to 92%, LM, 42% at 1.5 µg/l to 68% at 15 µg/l; PM was similar, from 20 to 28%. The EIR ranged from 63.82 to 87.23%. Larval mortality was very high compared to PM (P < 0.01) (Figure 3 and Table 4).

On Day 40, CM ranged from 64 to 84%, and EIR ranged from 52.08 to 77.08%. Larval mortality were comparable, ranging from 40% at 1.5 µg/L to 50% at 7.5 µg/l; PM were also similar, ranging from 20 to 28%. The LM and EIR values were not significantly different (P = 0.052) (Table 4).

No significant difference was observed between the CM of the tested doses (P = 0.965) throughout the monitoring period (Figure 3).

Table 4. Mortality of L3 larvae, pupae and adults of An. arabiensis (Dakar population) after exposure to Novaluron over 40 days.

Days (D)

Doses (µg/l)

Parameters (%)

D10

D19

D29

D40

Control

LM

0

2

0

2

PM

2

0

2

0

AM

2

0

2

0

LA

96

98

96

98

EIR

-

-

-

-

1.5 µg/l

LM

100

68

42

40

PM

0

12

24

14

AM

0

6

10

10

LA

0

14

24

36

EIR

100

79.16

63.82

52.08

7.5 µg/l

LM

100

74

52

50

PM

0

16

28

20

AM

0

4

6

4

LA

0

6

14

26

EIR

100

89.58

78.72

68.75

15 µg/l

LM

100

80

68

46

PM

0

14

20

22

AM

0

6

4

6

LA

0

0

8

12

EIR

100

93.75

87.23

77.08

LM: Larval mortality; PM: Pupal mortality; AM: Adults mortality; LA: Living adults; EIR: Emergence Inhibition Rate.

4. Discussion

Although studies on Bacillus thuringiensis have been conducted in both experimental stations and natural environments in Senegal [28], its effectiveness is limited due to the development of resistance and a short residual effect [17] [29] [30]. There is therefore a constant need to identify alternative tools and diversify control strategies to synthetic insecticides. The aim of this study was to evaluate the effects of Novaluron on larvae and pupae in the laboratory and to determine its efficacy and residual activity under semi-field conditions.

Laboratory assays showed that An. coluzzii and An. arabiensis larvae were highly susceptible to Novaluron, with doses inducing complete mortality ranging from 0.01 to 6 µg/l. These values are lower than those reported in Chiapas, Mexico, where effective doses ranged from 15.18 to 67.23 µg/l for An. albimanus and An. pseudopunctipennis, respectively [31]. Similarly, in Tanzania [22], stage 1 larvae of An. gambiae, An. arabiensis and An. funestus were treated with concentrations of 2.001 mg/l; 2.013 mg/l and 5.58 mg/l, respectively. In comparison, An. arabiensis from Dakar was more susceptible than the same species in Tanzania. As a result of large-scale MILDA and PID release campaigns, An. gambiae and An. funestus have developed a high level of resistance to insecticides [32]-[34]. Pupation inhibition was very high (75 to 100%) for concentrations between 0.05 and 1 µg/l, confirming the lethal effect of Novaluron, confirming the lethal effect of novaluron on the larvae by interfering with the normal moulting process. Although the precise mode of action is not fully clearly elucidated, Novaluron is a chitin inhibitor that disrupts moulting by causing of an abnormal endocuticle [35]. This is reflected in the prolonged duration required for stage 3 and 4 larvae to reach pupation (approximately 9 and 11 days, respectively).

Our laboratory tests showed that pupae were significantly less susceptible than larvae, requiring higher doses to induce mortality for both two species (EI99: 260 and 714,13 µg/l) compared to EI99% of L3 and L4 which were less than 6 µg/l. At the same time, studies carried out in Mexico on An. albimanus, An. pseudopunctipennis, Aedes aegypti, Ae. albopictus and Culex quinquefasciatus have shown the opposite, namely that pupae were more susceptible than larvae [31]. Furthermore, these studies confirmed that Novaluron acts in two modes: through ingestion by the larvae and through contact with the pupae,

During our study, the efficacy and residual activity of Novaluron were further evaluated under semi-natural conditions. The duration which emergence inhibition exceeds 80% is considered the period of effective residual activity [36]. Two semi-field trials were conducted over 33 and 40 days, respectively on L3 of An. coluzzii and An. arabiensis,

For An. coluzzii concentrations of 3 and 6 µg/l maintained high efficacy throughout the 21-day follow-up. For An. arabiensis, only 15 µg/l remained effective until 29 days of the follow-up. In Sri Lanka efficacy against Aedes aegypti and Ae. albopictus larvae was observed for nearly 2 months at 0.001 µg/l and 3 months at 0.01 µg/l, with EIR of 89% - 95% [37]. These findings suggest that Novaluron was more effective against Aedes species. These results support WHO recommendations for semi-field trails, which suggest using doses between 10 and 50 µg/l [23]. However, comparable studies, conducted in Mexico reported that formulated Novaluron (Rimon 10EC) maintained activity for up to 4 months at 166 µg/l and 550 µg/l on An. albimanus and Cx. Coronator [31]. There is one possible explanation regarding the difference in concentrations: the mosquitoes from Mexico are less susceptible because they are subject to constant insecticide challenges because of permanent dengue vector control operations and agriculture.

Integrating IGR with different modes of action can help delay or counteract the development of insecticide resistance in mosquito populations [38]. Our findings highlight the potential of Novaluron to reduce adult mosquito emergence in breeding habitats and support its in rotation with other IGRs, such as pyriproxyfen, to manage insecticide resistance [22].

Unfortunately, our study presented some limitations, in fact, the concentrations tested at the experimental stations could not be replicated and adult females emerging from the treatedbatches were to be monitored to verify the sublethal effect of Novaluron (potential vertical transmission).

Our work was limited to laboratory and semi-field conditions, field studies are needed to validate these findings in real-world settings. Furthermore, the long-term impact on mosquito populations, as well as the potential development and management of resistance—which are crucial for assessing the sustainability of this vector control strategy require further research [37].

5. Conclusion

This study demonstrates that An. coluzzii and An. arabiensis are highly susceptible to Novaluron at low concentrations under laboratory conditions. At optimal doses, Novaluron effectively inhibits both pupation and adult emergence. Its efficacy and residual activity under semi-field conditions supports its potential as a valuable tool for integrated malaria vector control strategies. These results provide insights into optimizing application frequency and operational costs for potential field deployment.

Author’s Contributions

Mame Fatou Tall., Seynabou Mocote Diédhiou, Ousmane Faye, Lassana Konaté and Ibrahima Dia. conceived and designed the study; Mame Fatou Tall, Moussa Diop, Abdoulaye Kane Dia, Mouhamadou Bassir Faye, Abdoulaye Konaté, Khady Sylla., El Hadji Diouf, Omar Thiaw and Ousmane Sy collected the samples. Mame Fatou Tall performed the laboratory and experimental trials; Mame Fatou Tall, El Hadji Amadou Niang, Ibrahima Dia, Seynabou Mocote Diédhiou Oumou Kalsom Gueye, Moussa Diop and Ousmane Faye analyzed the data, wrote the manuscript with contributions from Abdoulaye Niang, Oumou Kalsom Gueye, Badara Samb, Lassana Konaté. and Ibrahima Dia. All authors read and approved of the final manuscript.

Acknowledgements

We thank Dr. Souleymane Doucouré (VITROME, Campus International IRD-UCAD) for in-depth discussions concerning the experimental design of this project. The authors thank Babacar Badji and Ahmadou Tidiane Samb (LEVP) for providing the mosquitoes used in this study and their technical work associated with the mosquito colony maintenance.

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

References

[1] Mouchet, J., Carnevale, P., Coosemans, M., Julvez, J., et al. (2004) Biodiversité du Paludisme dans le Monde. John Libbey, 428 p.
[2] Swale, D.R., Li, Z., Kraft, J.Z., Healy, K., Liu, M., David, C.M., et al. (2018) Development of an Autodissemination Strategy for the Deployment of Novel Control Agents Targeting the Common Malaria Mosquito, Anopheles Quadrimaculatus Say (Diptera: Culicidae). PLOS Neglected Tropical Diseases, 12, e0006259. [Google Scholar] [CrossRef] [PubMed]
[3] Lecollinet, S., Fontenille, D., Pagès, N. and Failloux, A.B. (2022) Le Moustique, ennemi public n°1? Editions Quae.[CrossRef]
[4] St-Amand, J. (2020) Amélioration de l’Education en Afrique Subsaharienne. Mieux Répondre aux Besoins des Acteurs Locaux. Perspectives Multidisciplinaires. Presses de l’Université Laval.
[5] WHO (2023) World Malaria Report 2023. World Health Organization.
[6] Kidd, H. (2003) The Africa Malaria Report 2003. Pesticide Outlook, 14, 120-124.[CrossRef]
[7] WHO (2024) World Malaria Report. World Health Organization, 1-320.
[8] WHO (2021) World Malaria Report 2021: Regional Data and Trends. World Health Organization, 1-322.
https://www.who.int/fr/publications/m/item/WHO-UCN-GMP-2021.09
[9] Bhatt, S., Weiss, D.J., Cameron, E., Bisanzio, D., Mappin, B., Dalrymple, U., et al. (2015) The Effect of Malaria Control on Plasmodium Falciparum in Africa between 2000 and 2015. Nature, 526, 207-211.[CrossRef] [PubMed]
[10] Balbone, M. (2022) Alternative à la Résistance aux Pyréthrinoïdes au Burkina Faso: Évaluation des Activités Insecticides et Répulsives-Irritantes d’Huiles Essentielles de Plantes Locales Seules et en Combinaison sur les Populations de Anopheles gambiae et de Aedes aegypti (Diptera: Culicidae). Ph.D. Thesis, University of Joseph KI-Zerbo.
[11] Walker, K. and Lynch, M. (2007) Contributions of Anopheles Larval Control to Malaria Suppression in Tropical Africa: Review of Achievements and Potential. Medical and Veterinary Entomology, 21, 2-21.[CrossRef] [PubMed]
[12] Djègbè, I., Toponon, F., Gbankoto, A., Tchigossou, G., Djossou-Hessou, D., Dossou, C., et al. (2019) Typologie des Gîtes Larvaires et Résistance des Vecteurs du Paludisme a la Deltaméthrine dans les Milieux Urbain et Rural du Département de l’atlantique au sud du Bénin: Données Préliminaires. European Scientific Journal ESJ, 15, 171-191.[CrossRef]
[13] WHO (2013) World Report Malaria 2013. Malaria Entomology and Vector Control: A Participant’s Guide. World Health Organization.
[14] Chaki, P.P., Govella, N.J., Shoo, B., Hemed, A., Tanner, M., Fillinger, U., et al. (2009) Achieving High Coverage of Larval-Stage Mosquito Surveillance: Challenges for a Community-Based Mosquito Control Programme in Urban Dar es Salaam, Tanzania. Malaria Journal, 8, Article No. 311.[CrossRef] [PubMed]
[15] Stanton, M.C., Kalonde, P., Zembere, K., Hoek Spaans, R. and Jones, C.M. (2021) The Application of Drones for Mosquito Larval Habitat Identification in Rural Environments: A Practical Approach for Malaria Control? Malaria Journal, 20, Article No. 244.[CrossRef] [PubMed]
[16] Boyer, S. (2006) Résistance Métabolique des Larves de Moustiques aux Insecticides: Conséquences Environnementales. Ph.D. Thesis, University of Joseph Fourier—Grenoble I.
[17] George, L., Lenhart, A., Toledo, J., Lazaro, A., Han, W.W., Velayudhan, R., et al. (2015) Community-Effectiveness of Temephos for Dengue Vector Control: A Systematic Literature Review. PLOS Neglected Tropical Diseases, 9, e0004006.[CrossRef] [PubMed]
[18] IPCadmin (2021) An Innovative Year-Round Larvicide for Mosquito Control—International Pest Control Magazine. Reporting on global Pest Control Issues for over 65 Years.
https://international-pest-control.com/wordpress/an-innovative-year-round-larvicide-for-mosquito-control/
[19] Mulla, M.S., Thavara, U., Tawatsin, A., Chompoosri, J., Zaim, M. and Su, T. (2003) Laboratory and Field Evaluation of Novaluron, a New Acylurea Insect Growth Regulator, against Aedes aegypti (Diptera: Culicidae). Journal of Vector Ecology, 28, 241-254.
[20] Cetin, H., Yanikoglu, A. and Cilek, J.E. (2006) Efficacy of Diflubenzuron, a Chitin Synthesis Inhibitor, against Culex Pipiens Larvae in Septic Tank Water. Journal of the American Mosquito Control Association, 22, 343-345.[CrossRef] [PubMed]
[21] Mulla, M.S. (1995) The Future of Insect Growth Regulators in Vector Control. Journal of American Mosquito Control Association, 11, 269-273.
[22] Ngonzi, A.J., Muyaga, L.L., Ngowo, H., Urio, N., Vianney, J. and Lwetoijera, D.W. (2022) Susceptibility Status of Major Malaria Vectors to Novaluron, an Insect Growth Regulator South-Eastern Tanzania. Pan African Medical Journal, 41, Article 273.[CrossRef] [PubMed]
[23] WHO (2005) Guidelines for Laboratory and Field Testing of Mosquito Larvicides. World Health Organization.
[24] Cutler, G., and Scott-Dupree, C. (2007) Novaluron: Prospects and Limitations in Insect Pest Management. Pest Technology, 1, 38-46.
[25] Robert, V., Awono-Ambene, H.P. and Thioulouse, J. (1998) Ecology of Larval Mosquitoes, with Special Reference to Anopheles arabiensis (Diptera: Culcidae) in Market-Garden Wells in Urban Dakar, Senegal. Journal of Medical Entomology, 35, 948-955.[CrossRef] [PubMed]
[26] Dia, A.K., Guèye, O.K., Niang, E.A., Diédhiou, S.M., Sy, M.D., Konaté, A., et al. (2018) Insecticide Resistance in Anopheles arabiensis Populations from Dakar and Its Suburbs: Role of Target Site and Metabolic Resistance Mechanisms. Malaria Journal, 17, Article No. 116.[CrossRef] [PubMed]
[27] Sy, O., Konaté, L., Ndiaye, A., Dia, I., Diallo, A., Taïrou, F., et al. (2016) Identification des gîtes larvaires d’anophèles dans les foyers résiduels de faible transmission du paludisme « hotspots » au centre-ouest du Sénégal. Bulletin de la Société de pathologie exotique, 109, 31-38.[CrossRef] [PubMed]
[28] Diédhiou, S.M., Konaté, L., Doucouré, S., Samb, B., Niang, E.A., Sy, O., et al. (2016) Efficacité de trois larvicides d’origine biologique et d’un régulateur de croissance contre Anopheles arabiensis au Sénégal. Bulletin de la Société de pathologie exotique, 110, 102-115.[CrossRef] [PubMed]
[29] Paris, M. (2010) Evolution de la Résistance au Bactério-Insecticide Bti chez les Moustiques. Ph.D. Theses, Université Grenoble Alpes.
https://theses.hal.science/tel-00629116
[30] Stalinski, R. (2015) Vers une meilleure Compréhension des Bases Moléculaires de la Résistance des Moustiques au Bti (Bacillus thuringiensis subsp. israelensis). Ph.D. Thesis, Université Grenoble Alpes.
[31] Arredondo-Jiménez, J.I. and Valdez-Delgado, K.M. (2006) Effect of Novaluron (Rimon® 10 EC) on the Mosquitoes Anopheles albimanus, Anopheles pseudopunctipennis, Aedes aegypti, Aedes albopictus and Culex quinquefasciatus from Chiapas, Mexico. Medical and Veterinary Entomology, 20, 377-387.[CrossRef] [PubMed]
[32] Zoh, G.M. (2021) Résistance du moustique Anopheles gambiae à Fludora® Fusion, une nouvelle combinaison d’insecticides à double mode d’action utilisable en pulvérisation intra domiciliaire. Réponse adaptative et interactions gènes-environnement. Ph.D. Thesis, Université Grenoble Alpes.
[33] Kisinza, W.N., Nkya, T.E., Kabula, B., Overgaard, H.J., Massue, D.J., Mageni, Z., et al. (2017) Multiple Insecticide Resistance in Anopheles gambiae from Tanzania: A Major Concern for Malaria Vector Control. Malaria Journal, 16, Article No. 439.[CrossRef] [PubMed]
[34] Tungu, P., Kabula, B., Nkya, T., Machafuko, P., Sambu, E., Batengana, B., et al. (2023) Trends of Insecticide Resistance Monitoring in Mainland Tanzania, 2004-2020. Malaria Journal, 22, Article No. 100.[CrossRef] [PubMed]
[35] Hinda, B., Benradia, H. and Soltani, N. (2015) Evaluation de l’Impact d’un Inhibiteur de la Synthèse de la Chitine, le Novaluron, sur l’Hormone de Mue et la Composition Biochimique des Cuticules chez Palaemon adspersus. 45e congrès du Groupe Français des Pesticides, Paris, 27-29 Mai 2015.
[36] Mulla, M.S., Darwazeh, H.A. and Lee Norland, R. (1974) Insect Growth Regulators: Evaluation Procedures and Activity against Mosquitoes. Journal of Economic Entomology, 67, 329-332.[CrossRef] [PubMed]
[37] Herath, J.M.M.K., De Silva, W.A.P.P., Weeraratne, T.C. and Karunaratne, S.H.P.P. (2024) Efficacy of the Insect Growth Regulator Novaluron in the Control of Dengue Vector Mosquitoes Aedes aegypti and Ae. albopictus. Scientific Reports, 14, Article No. 1988.[CrossRef] [PubMed]
[38] Tusting, L.S., Thwing, J., Sinclair, D., Fillinger, U., Gimnig, J., Bonner, K.E, et al. (2013) Mosquito Larval Source Management for Controlling Malaria. Cochrane Database Systematic Review, No. 8, CD008923.[CrossRef] [PubMed]

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