Research Article | | Peer-Reviewed

Evaluating the Efficacy of Dieffenbachia picta (Araceae) Leaves Insecticidal Activity Against Cimex lectularius in Arba Minch Town

Received: 1 July 2024     Accepted: 22 July 2024     Published: 6 August 2024
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Abstract

The common bed bug, Cimex lectularius, is an age-old human parasite. Recognizing bed bugs as a significant public health concern, the Environmental Protection Agency highlights the need for effective strategies to address infestations and protect people's well-being. Therefore, the aim of this investigation was to evaluate the efficacy of Dieffenbachia picta leaf extracts against bedbugs under laboratory conditions. Insecticidal bio-assay and phytochemical analysis were performed using topical methods and a qualitative analytical protocol. This study demonstrated that extracts obtained from the dumb cane plant using various solvents (methanol, ethanol, distilled water, and acetone) exhibited significant insecticidal activity against bedbugs. Among the solvent extracts, the methanol extract showed a 100% mortality rate, the ethanol extract showed 80%, the acetone extract showed 80%, and the distilled water extract showed 70% mortality at a concentration of 1g/l. A mixture experimental design was used to investigate how the formulation components of the solvent extracts (methanol, ethanol, acetone, and distilled water) affected the synergistic effect and mortality rate. It was found that a combination of 25% methanol, 30% ethanol, 25% acetone, and 20% distilled water effectively demonstrated the optimal synergistic effect of the extracts against bedbug spp. In conclusion, this study demonstrates that extracts from Dieffenbachia picta have the potential to serve as a natural solution for controlling bedbugs.

Published in American Journal of Plant Biology (Volume 9, Issue 3)
DOI 10.11648/j.ajpb.20240903.11
Page(s) 43-55
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Bedbug, Dieffenbachia picta, Insecticidal Activity

1. Introduction
The common bed bug, Cimex lectularius, is a human parasite that has been in existence for thousands of years . Bed bugs are wingless, oval-shaped, flat, reddish-brown insects that grow to an adult length of approximately 5 mm . They resemble small cockroaches or unfed ticks. During the day, bed bugs hide in cracks found in beds, furniture, flooring, and walls . They have a long history of drastic presence in human communities with extended geographical dispersion worldwide. For many years, they have been a significant public health issue and probably one of the most common ectoparasites in human life .
In 2010, the Centers for Disease Control and Prevention along with the U.S. Environmental Protection Agency identified bed bugs as a public health pest of concern, reflecting a consensus among public health officials regarding the significance of bed bugs as a public health issue. This recognition underscored the need for effective strategies to address the problem of bed bug infestations and protect people's well-being .
The surge in global travel, immigration, and the secondhand goods trade has led to the disruption of traditional bed bug geographical distributions, causing C. lectularius and C. hemipterus to inhabit overlapping regions. This sympatric occurrence of the two species has contributed to various clinical and psychological health issues for affected individuals . In addition, they cause multiple economic problems affecting cultural and tourism industries (e.g., the economic impact of the resurgence was 100 million AUS dollars in Australia) Nowadays, Bed bug infestations have expanded beyond homes and hotels, becoming widespread in private and public spaces such as senior living facilities, healthcare centers, and public transportation. This expansion poses challenges in managing and eradicating these pests .
Despite the availability of alternative methods like temperature treatments, including steam and dry ice, the application of insecticides via spraying remains the most effective long-term solution for preventing re-infestation . Therefore, there is an urgent need to develop pest management tools that are not only effective in suppressing bed bug populations, but that do not themselves have undue negative impacts on human health . Pyrethroids are commonly employed in managing bed bugs and various other indoor pests . Plants offer a promising alternative for eco-friendly insect pest control, as they contain bioactive compounds and pose less risk to non-target organisms. Their ease of biodegradability further supports the preference for natural products in pest management strategies .
To the best of our knowledge and understanding to date, several studies have been reported on the chemistry, toxicity, and epidemiology of antimicrobial, insecticidal activity of Dumb cane plant . Nevertheless, this is the first study was conducted to assess on the insecticidal activity of diffenbachia plant extract against bedbugs, which is one of the potential public health and medical hazards in this country. Therefore the objective of this study was evaluating the Efficacy of Dieffenbachia picta (Araceae) Leaves insecticidal activity against Bed Bugs in Arba Minch Town.
2. Material and Methods
2.1. Study Area, Design and Period
Laboratory based experimental study was conducted at Arba Minch University in Entomology Laboratory, from March-July 30 2023. This research was carried out at the Gamo zone Arba Minch town. As shown in Figure 1, Arba Minch is both the Gamo Zone's administrative centre and the regional zone known at the Southern Ethiopia (SE). The town is located between 37º 28' 0" to 37º 36' 0" to the east and 5 º 59' 0" to 6º5'0" to the north., spanning a surface area of 2184 hectares. It is 504 kilometres from the capital city Addis Ababa. Its surface area is 2184 hectares, with an average temperature of 30.6°C and an annual rainfall of 575 mm .
Figure 1. Location Map of Arba Minch Town.
2.2. Laboratory Procedure
2.2.1. Sample Collection
According to standard protocol, bedbugs were collected from multiple infested houses (apartments, homes, institutions) located in Arba Minch town, Gamo zone. This study maintained the insects in 240-ml glass rearing jars with 90-mm filter paper circles (Whatman no.1) and cardboard harborages folded in a fan-like shape. The rearing jar mouth was covered with nylon mesh with 90µm openings to prevent insects from escaping . A artificial feeding technique was used once a week to feed to engorgement . Similarly, the plant materials were taxonomically identified and authenticated by Botanist in March 3, 20023 then, plant samples were aseptically collected by using sterilized containers from different from different area of Arba Minch town.
2.2.2. Plant Extract Preparation
Dumb cane (Dieffenbachia picta) plants were collected from Arba Minch town and district at different growing stages. The sample leaves were dried in shade at room temperature and then ground to a fine powder using an electric meal grinder [IKA.A11 BASIC, D-79219 Staufen].
2.2.3. Qualitative Determination of Phytochemical Constituents
According to Yadav and his collegue the extract was tested for the presence of bioactive compounds by using following standard methods :
(i). Test for Phenols and Tannins
Crude extract was mixed with 2ml of 2% solution of FeCl3. A blue-green or black coloration indicated the presence of phenols and tannins.
(ii). Test for Steroid
In this test, the crude extract was combined with 2 ml of chloroform, followed by the careful addition of concentrated H2SO4 along the side of the container. The presence of steroids was indicated by the appearance of a red color in the lower chloroform layer. To further confirm the presence of steroids, another test was performed by mixing the crude extract with 2 ml of chloroform, followed by the addition of 2 ml each of concentrated H2SO4 and acetic acid. The observation of a greenish coloration in the resulting mixture provided additional evidence for the presence of steroids in the sample. Both colorimetric tests served as qualitative indicators for identifying steroidal compounds in the crude extract.
(iii). Test for Flavonoids
The plant extract was treated with 2-3 drops of sodium hydroxide solution. Acute yellow colour was formed, that indicates presence of the flavonoids, by the addition of some drops of sulphuric acid that changed to colourless.
(iv). Test for Saponins
Crude extract was mixed with 5ml of distilled water in a test tube and it was shaken vigorously. The formation of stable foam was taken as an indication for the presence of saponins.
(v). Test for Alkaloids
To test for the presence of alkaloids, the crude extract was combined with 2 ml of 1% HCl and heated gently. Subsequently, both Mayer's and Wagner's reagents were added to the mixture. The formation of a turbid precipitate was interpreted as an indication of the presence of alkaloids in the extract. This qualitative test provided preliminary evidence for the existence of alkaloid compounds within the crude extract.
(vi). Benedict’s Test
Crude extract when mixed with 2ml of Benedict’s reagent and boiled, a reddish brown precipitate formed which indicated the presence of the carbohydrates.
2.2.4. Insecticidal Activity by Topical Assay
Insecticidal studies using extracts from the dumb cane plant were conducted following the procedure described by Romero et al. . In this study, adult bed bugs were meticulously separated using forceps and subsequently placed in Petri dishes. To immobilize the bed bugs, carbon dioxide (CO2) was used as an anesthetic agent. For the treatment group, a solution containing varying concentrations (1 g/l to 0.053 g/l) of the plant extract, obtained through acetone, methanol, ethanol, or distilled water extraction, was carefully applied onto the dorsal abdomen of the insects using a 100µl micropipette. Conversely, the control group received an application of 100µl of acetone, distilled water, ethanol, or methanol alone. Following treatment, the bed bugs were transferred to 20 ml clear glass vials containing paper strips made from standard 92 multipurpose papers. These vials were then placed in a growth chamber to monitor the effects of the treatment. The mortality rates of the bed bugs were documented at 1, 2, 3, 5, and 7 days post-treatment to evaluate the efficacy of the plant extract in controlling bed bug populations. A bed bug was considered dead if no body part moved when touched with a needle. Each replicate consisted of 10 bed bugs (mixed sex), and there were 3 replicates in total.
2.2.5. Experimental Design for the Synergistic Effect
Mixture experimental design is the most suitable approach for predicting the response of a mixture and optimizing its composition to achieve maximum efficacy in terms of mortality rate, as the components of the mixture must always sum up to 100%. It is crucial to note that a mixture experiment is a particular type of response surface experiment, where the factors are the mixture's components, and the response is influenced by the relative proportions of each constituent .
2.2.6. Factors
Table 1. Components of a mixture high and low value in the mixture design.

Component

Name

Level

Low Level

High Level

Std. Dev.

Coding

A

methanol

10.58

10.00

30.00

0.0000

Actual

B

ethanol

21.06

20.00

40.00

0.0000

Actual

C

acetone

48.32

30.00

50.00

0.0000

Actual

D

distill water

20.04

20.00

40.00

0.0000

Actual

Total =

100.00

Here is the canonical form of a third-order polynomial model:
Y = β0+ β1x1+ β2x2+ β3x3+ β4x4+ β11x12+ β22x22+ β33x32+ β44x42+ β12x1x2+ β13x1x3+ β14x1x4+ β23x2x3+ β24x2x4+ β34x3x4+ ε(1)
In this model: Y represents the response variable, β0 is the intercept term, β1 to β4 are the linear regression coefficients for each component, X1 to X4, respectively, β11 to β44 are the quadratic regression coefficients for the squared terms of each component (x12 to x42), β12 to β34 are the interaction regression coefficients for the pairwise interactions between components (x1x2, x1x3, x1x4, x2x3, x2x4, and x3x4), x1 to x4 represent the proportions of the four components in the mixture, ε is the error term, representing the deviation between the observed and predicted response values. The design expert software was used to generate 20 formulations for developing predictive models and determining the optimum synergistic effect.
2.3. Data Analysis
All experiments were performed in triplicates. In case of Lattice mixture design (LMD) analysis all experimental data were checked and coded for its completeness by Microsoft Excel 2010 and exported to Design Expert 11 software. Data were analyzed by one-way ANOVA, and a P-value of ≤ 0.05 was considered as the statistical significance level.
Figure 2. Infographics representation of this study.
3. Results and Discussion
3.1. Phytochemical Analysis
Table 2 illustrates the results of the qualitative phytochemical analysis conducted on extracts of Dieffenbachia picta using methanol, ethanol, distilled water, and acetone. As indicated in the table, the leaf extract of this plant contained saponins, flavonoids, phenols, alkaloids, and reducing sugars. However, no tannins or steroids were detected. The qualitative analysis revealed potential therapeutic applications, suggesting the presence of known pharmacological properties . A similar finding was demonstrated in a study conducted at the University of Ibadan, Nigeria. The study found that the extracts of leaves contained alkaloids, saponins, phenol, and resins .
Table 2. Phytochemical analysis of Dieffenbachia plant extract.

Phytochemical compounds

Leaf extract

Tannins

-

Saponins

+

Steroids

_

Flavonoids

+

Phenols

+

Alkaloids

+

Reducing sugar

+

Where, + = Present, - =Beyond detectable limit
3.2. Efficacy of Dumb Cane Plant on the Mortality of Bedbug
Figure 3 illustrates the effectiveness of dumb cane plant extract in combating bedbugs. The extract was obtained through the maceration method using various solvent extracts. The concentration of the plant extracts ranges from 1 g/l to 0.053 g/l. In Figure 3a, the methanol extract of dumb cane plant demonstrates its efficacy against bedbugs. The figure shows that a concentration of 1 g/l results in a 100% mortality rate. The concentrations of 0.375 g/l, 0.14 g/l, and 0.053 g/l exhibit mortality rates of 90%, 80%, and 70% respectively. Similarly, the ethanol extract of dumb cane plant also shows similar efficacy. As shown in Figure 3b, concentrations of 1 g/l, 0.375 g/l, 0.14 g/l, and 0.053 g/l exhibit mortality rates of 80%, 80%, 70%, and 60% respectively. Figure 3c also demonstrates the effectiveness of dumb cane plant extract with mortality rates of 80%, 70%, 60%, and 50% for concentrations of 1 g/l, 0.375 g/l, 0.14 g/l, and 0.053 g/l respectively. Similarly, Figure 3d shows mortality rates of 70%, 60%, 40%, and 30% for concentrations of 1 g/l, 0.375 g/l, 0.14 g/l, and 0.053 g/l respectively. The findings in Figure 3 align with previous studies highlighting the potential of plant-based extracts as eco-friendly alternatives for pest control .
Our study demonstrated that dumb cane plant extracts obtained using various solvents (methanol, ethanol, distilled water, and acetone) exhibited significant insecticidal activity against bedbugs. While there is limited information on the insecticidal activity of dumb cane plant extracts against bedbugs, our findings align with previous studies that have reported the potential of plant-derived extracts as effective alternatives to conventional pesticides . The current study expands the knowledge on natural pest control agents, with a specific focus on bedbugs, which are a significant public health concern . Moreover, The study done in Nigeria also provides valuable insights into the biological activities and potential therapeutic applications of dumb cane plant extracts .
Figure 3. Efficacy of Dumb Cane Plant Extract against Bedbugs using Various Solvent Extracts.
Figure 4. Mortality Effects of Dumb Cane Plant Extract on Bedbugs at Various Concentrations.
3.3. Lattice Mixture Design for the Synergistic Effect of Different Dumb Cane Plant Extract
Using mortality rate as the output response, lattice mixture design was used to determine the optimum synergistic effects for the four significant variables (methanol, ethanol, Acetone and distill water). Our study consists of 20 experiments that combine the four selected variables in different ways. In Table 3, we present the experimental designs that were used.
Table 3. Mixture design, experimental conditions and measured responses.

Run

A: Methanol

B: Ethanol

C: Distill water

D: Acetone

Response (Mortality rate %)

Residual

Actual

predicted

1

17.5

30

27.5

25

90

89.83

0.1679

2

25

30

20

25

100

99.96

0.0420

3

13.75

33.75

23.75

28.75

90

88.66

1.34

4

19.375

31.875

21.875

26.875

95

95.67

-0.6716

5

10

45

20

25

85

84.96

0.0420

6

17.5

37.5

20

25

90

89.92

0.0840

7

17.5

30

20

32.5

90

89.83

0.1679

8

10

30

20

40

85

84.96

0.0420

9

11.875

31.875

29.375

26.875

85

85.67

-0.6716

10

10

45

20

25

85

84.96

0.0420

11

17.5

37.5

20

25

90

89.92

0.0840

12

25

30

20

25

100

99.96

0.0420

13

10

37.5

27.5

25

85

84.83

0.1679

14

10

30

27.5

32.5

85

84.83

0.1679

15

11.875

39.375

21.875

26.875

85

85.67

-0.6716

16

11.875

31.875

21.875

34.375

85

85.67

-0.6716

17

10

37.5

20

32.5

85

84.83

0.1679

18

10

30

20

40

85

84.96

0.0420

19

10

30

35

25

85

84.96

0.0420

20

10

30

35

25

85

84.96

0.0420

Among the total of 20 experiments conducted to test the mortality rate of bedbugs using a combination of four extracts, experiment 12 showed the highest mortality rate of 100%. This impressive result was achieved by combining 25% methanol, 30% ethanol, 25% acetone, and 20% distilled water. Therefore, this particular combination effectively demonstrated the optimal synergistic effect of the extracts against bedbug spp.
3.4. Model Developed for the Synergistic Effect in Terms of L-Pseudo Components
The equation below represents the relationship between the dependent variables (response) and the independent variables (parameters):
Y (Mortality rate) = +99.96A++84.96B+ +84.96C+84.96D-10.17AB-10.50AC-10.50AD-0.5037BC-0.5037BD-0.5037CD+150.52ABC+150.52ABD+153.21ACD-326.79BCD(2)
The equation in terms of coded factors can be used to make predictions about the response for given levels of each factor. By default, the high levels of the mixture components are coded as +1 and the low levels are coded as 0. The coded equation is useful for identifying the relative impact of the factors by comparing the factor coefficients.
3.5. ANOVA for Special Cubic Model
Table 4. ANOVA results for response parameters.

Source

Sum of Squares

df

Mean Square

F-value

p-value

Model

459.97

13

35.38

56.19

< 0.0001

significant

(1)Linear Mixture

436.77

3

145.59

231.22

< 0.0001

AB

8.62

1

8.62

13.69

0.0101

AC

5.54

1

5.54

8.79

0.0251

AD

5.54

1

5.54

8.79

0.0251

BC

0.0127

1

0.0127

0.0202

0.8916

BD

0.0127

1

0.0127

0.0202

0.8916

CD

0.0127

1

0.0127

0.0202

0.8916

ABC

1.59

1

1.59

2.52

0.1634

ABD

1.59

1

1.59

2.52

0.1634

ACD

1.63

1

1.63

2.58

0.1590

BCD

7.41

1

7.41

11.76

0.0140

Residual

3.78

6

0.6297

Lack of Fit

3.78

1

3.78

0.6915

Pure Error

0.0000

5

0.0000

Cor Total

463.75

19

(1) Inference for linear mixtures uses Type I sums of squares.
Mixture Component coding is L_Pseudo.
Sum of squares is Type III - Partial
The Model F-value of 56.19 signifies the model's significance, as there is only a 0.01% probability that such a large F-value could result from random noise. P-values lower than 0.0500 denote significant model terms, with A, B, C, D, AB, AC, AD, and BCD being significant in this case. Values exceeding 0.1000 imply insignificant model terms. If numerous insignificant terms are present (excluding those necessary for hierarchy support), model reduction may enhance the model's overall quality.
Table 5. Fit Statistics for response parameters.

Std. Dev.

0.7935

0.9919

Mean

88.25

Adjusted R²

0.9742

C.V. %

0.8992

Predicted R²

-4.7484

Adeq Precision

22.7834

A negative Predicted R² implies that the overall mean may be a better predictor of your response than the current model. In some cases, a higher order model may also predict better. Adeq Precision measures the signal to noise ratio. A ratio greater than 4 is desirable. Your ratio of 22.783 indicates an adequate signal. This model can be used to navigate the design space.
3.6. Synergistic Effect of Different Solvent Extract
3.6.1. Synergistic Effect of Methanol, Ethanol and Distill Water
Figure 5a and b illustrate a ternary mixture design containing three components: methanol (A), ethanol (B), and acetone (C). The response graph, shown as a contour plot, displays the insecticidal activity (mortality rate) of various mixtures on bed bugs. Different mortality rates are indicated by colors: red (highest, 100%), green (intermediate, 90%), and blue (lowest, 70-85%).
Figure 5. Ternary diagrams of methanol, ethanol and distill water mixture composition.
The green region between vertices A and B represents moderate mortality, while the yellowish color at the end of vertex A suggests that as the concentration of component A (top vertex) increases, the mortality rate improves and becomes higher. Between vertices B and C, the blue region indicates the lowest mortality rate. The light blue color in the middle of the ternary design suggests that as the concentration of components B and C increases, the mortality rate slightly improves but remains low. On the other hand, between vertices A and C, the green region suggests moderate mortality, and the yellow color near vertex A indicates an improvement in the mortality rate as the concentration of component A increases. The contour lines within the design depict a region of 90% mortality near the center, with vertices A (Methanol) at 13.75%, vertices B (ethanol) at 33.75%, vertices C (distilled water) at 23.75%, and the actual component of acetone at 28.75%. Equation 2 demonstrates that the combined effect of +150.52ABC is characterized by a positive quadratic coefficient, indicating that an increase in these three variables, especially the methanol extract, leads to an increase in the response value of the bedbug mortality rate.
3.6.2. Synergistic Effect of Methanol, Ethanol and Acetone
The contour lines within the design reveal a 90% mortality region near the center with 13.75% methanol, 33.75% ethanol, 28.75% acetone, and 23.75% distilled water. The blue area between vertices B and C indicates the lowest mortality rate. Equation 2 shows a positive quadratic coefficient of +150.52ABD, demonstrating that increasing these three variables, particularly methanol extract, results in higher bed bug mortality rates.
Figure 6. Ternary diagrams of methanol, ethanol and acetone mixture composition.
3.6.3. Synergistic Effect of Methanol, Acetone and Distill Water
Likewise, similar to the previous synergistic effect, methanol also has a significant impact on the mortality rates of bedbugs. As shown in the ternary graph, particularly on the contour line, the mortality rate improves as the values of component A, C, and D improve. However, the most significant improvement in mortality rate is observed when component A improves, as depicted in figure 7. This conclusion is further supported by the +153.21ACD coefficient of the combined variable in Equation 3. The light blue color in the middle of the ternary graph suggests that although the mortality rate slightly improves, it remains low as the concentration of component D and C increases.
Figure 7. Ternary diagrams of methanol, distill water and acetone mixture composition.
3.6.4. Synergistic Effect of Acetone, Ethanol and Distill Water
The synergistic effect of acetone, ethanol, and distilled water on bed bug mortality rate is evident. The figure shows that increasing these three components initially enhances the mortality rate; however, further increases do not necessarily lead to higher mortality rates, as seen in the contour lines. The green color along the lines between vertices C and B, B and D, and C and D suggests moderate mortality rates. This observation is further supported by the negative quadratic coefficient of -326.79BCD in Equation 3, indicating that excessive amounts of these combined variables may not improve bed bug mortality rates.
Figure 8. Ternary diagrams of ethanol, distill water and acetone mixture composition.
3.6.5. Synergistic Effect Using Desirability Function
The ramp functions graph (Figure 9) shows the desirability for synergistic effect. The dot on each ramp indicates the factor setting (or) response prediction for that response characteristic. According to the findings from the desirability ramp depicted in Figure 9, each point on the ramp signifies either a factor setting or a predicted response. Consequently, the best mix of composition parameters was identified at a methanol extract concentration of 10.1561%, ethanol extract concentration of 30.4123%, and acetone extract concentration of 30.7722%, and distill water extract concentration of 28.6595% with an anticipated optimal synergistic effect (mortality rate) at 83.2811% and an overall desirability score of 1.000 (Figure 9).
Figure 9. Desirability ramp of the synergistic effect of different solvent extract.
The purpose of optimization using the desirability function is to find a combination of conditions that concurrently fulfill all goals. The desirability scale for each response ranges from 0 to 1 with 1 being the ideal solution (more desirable) and 0 indicating that one or more responses fall outside the desired range (least desirable) . In this context, the response becomes more satisfying as the desirability value increases . Based on the graph in Figure 9, the composite desirability of mortality rate is 83.2811% indicating a better response.
4. Conclusion
In conclusion, this study demonstrates that extracts from Dieffenbachia picta have the potential to serve as a natural solution for controlling bedbugs. The qualitative phytochemical analysis reveals the presence of saponins, flavonoids, phenols, alkaloids, and reducing sugars in the leaf extracts, which suggests possible therapeutic applications. Moreover, the study establishes the effectiveness of these extracts as an alternative method for pest control by subjecting bedbugs to different concentrations of dumb cane plant extracts obtained through the maceration method using various solvents. The lattice mixture design indicates that the highest mortality rate of 100% is achieved when using a combination of 25% methanol, 30% ethanol, 25% acetone, and 20% distilled water extract. These results underscore the importance of exploring plant-based alternatives and their synergistic effects in combating the global problem of bedbug infestations. Overall, this study provides valuable insights into the potential of Dieffenbachia picta extracts as an eco-friendly and efficient solution for managing bedbug populations.
Abbreviations

ANOVA

Analysis of Variance

LMD

Lattice Mixture Design

SE

Southern Ethiopia

Acknowledgments
The author would like to express his profound gratitude to Arba Minch University for providing essential resources and unwavering support throughout the course of this research.
Author Contributions
Fitsum Dejene is the sole author. The author read and approved the final manuscript.
Funding
This research did not receive any external funding or financial support from any institutions, organizations, or grants. It was conducted independently without any financial assistance.
Data Availability Statement
No datasets were generated or analyzed during the current study.
Conflicts of Interest
The author declares no conflicts of interest.
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  • APA Style

    Dejene, F. (2024). Evaluating the Efficacy of Dieffenbachia picta (Araceae) Leaves Insecticidal Activity Against Cimex lectularius in Arba Minch Town. American Journal of Plant Biology, 9(3), 43-55. https://doi.org/10.11648/j.ajpb.20240903.11

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    ACS Style

    Dejene, F. Evaluating the Efficacy of Dieffenbachia picta (Araceae) Leaves Insecticidal Activity Against Cimex lectularius in Arba Minch Town. Am. J. Plant Biol. 2024, 9(3), 43-55. doi: 10.11648/j.ajpb.20240903.11

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    AMA Style

    Dejene F. Evaluating the Efficacy of Dieffenbachia picta (Araceae) Leaves Insecticidal Activity Against Cimex lectularius in Arba Minch Town. Am J Plant Biol. 2024;9(3):43-55. doi: 10.11648/j.ajpb.20240903.11

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  • @article{10.11648/j.ajpb.20240903.11,
      author = {Fitsum Dejene},
      title = {Evaluating the Efficacy of Dieffenbachia picta (Araceae) Leaves Insecticidal Activity Against Cimex lectularius in Arba Minch Town
    },
      journal = {American Journal of Plant Biology},
      volume = {9},
      number = {3},
      pages = {43-55},
      doi = {10.11648/j.ajpb.20240903.11},
      url = {https://doi.org/10.11648/j.ajpb.20240903.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpb.20240903.11},
      abstract = {The common bed bug, Cimex lectularius, is an age-old human parasite. Recognizing bed bugs as a significant public health concern, the Environmental Protection Agency highlights the need for effective strategies to address infestations and protect people's well-being. Therefore, the aim of this investigation was to evaluate the efficacy of Dieffenbachia picta leaf extracts against bedbugs under laboratory conditions. Insecticidal bio-assay and phytochemical analysis were performed using topical methods and a qualitative analytical protocol. This study demonstrated that extracts obtained from the dumb cane plant using various solvents (methanol, ethanol, distilled water, and acetone) exhibited significant insecticidal activity against bedbugs. Among the solvent extracts, the methanol extract showed a 100% mortality rate, the ethanol extract showed 80%, the acetone extract showed 80%, and the distilled water extract showed 70% mortality at a concentration of 1g/l. A mixture experimental design was used to investigate how the formulation components of the solvent extracts (methanol, ethanol, acetone, and distilled water) affected the synergistic effect and mortality rate. It was found that a combination of 25% methanol, 30% ethanol, 25% acetone, and 20% distilled water effectively demonstrated the optimal synergistic effect of the extracts against bedbug spp. In conclusion, this study demonstrates that extracts from Dieffenbachia picta have the potential to serve as a natural solution for controlling bedbugs.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Evaluating the Efficacy of Dieffenbachia picta (Araceae) Leaves Insecticidal Activity Against Cimex lectularius in Arba Minch Town
    
    AU  - Fitsum Dejene
    Y1  - 2024/08/06
    PY  - 2024
    N1  - https://doi.org/10.11648/j.ajpb.20240903.11
    DO  - 10.11648/j.ajpb.20240903.11
    T2  - American Journal of Plant Biology
    JF  - American Journal of Plant Biology
    JO  - American Journal of Plant Biology
    SP  - 43
    EP  - 55
    PB  - Science Publishing Group
    SN  - 2578-8337
    UR  - https://doi.org/10.11648/j.ajpb.20240903.11
    AB  - The common bed bug, Cimex lectularius, is an age-old human parasite. Recognizing bed bugs as a significant public health concern, the Environmental Protection Agency highlights the need for effective strategies to address infestations and protect people's well-being. Therefore, the aim of this investigation was to evaluate the efficacy of Dieffenbachia picta leaf extracts against bedbugs under laboratory conditions. Insecticidal bio-assay and phytochemical analysis were performed using topical methods and a qualitative analytical protocol. This study demonstrated that extracts obtained from the dumb cane plant using various solvents (methanol, ethanol, distilled water, and acetone) exhibited significant insecticidal activity against bedbugs. Among the solvent extracts, the methanol extract showed a 100% mortality rate, the ethanol extract showed 80%, the acetone extract showed 80%, and the distilled water extract showed 70% mortality at a concentration of 1g/l. A mixture experimental design was used to investigate how the formulation components of the solvent extracts (methanol, ethanol, acetone, and distilled water) affected the synergistic effect and mortality rate. It was found that a combination of 25% methanol, 30% ethanol, 25% acetone, and 20% distilled water effectively demonstrated the optimal synergistic effect of the extracts against bedbug spp. In conclusion, this study demonstrates that extracts from Dieffenbachia picta have the potential to serve as a natural solution for controlling bedbugs.
    
    VL  - 9
    IS  - 3
    ER  - 

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    1. 1. Introduction
    2. 2. Material and Methods
    3. 3. Results and Discussion
    4. 4. Conclusion
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