scholarly journals The Mosquito Repellent Citronellal Directly Potentiates Drosophila TRPA1, Facilitating Feeding Suppression

2015 ◽  
Vol 38 (10) ◽  
pp. 911-917 ◽  
SCISCITATIO ◽  
2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Djoko Rahardjo ◽  
Vinsa Cantya Prakasita ◽  
Marlen Aviati Sarah Pepiana

Malaria is known as an endemic disease that often causes death in Indonesia, especially in Papua. The malaria cases control in Papua has not been carried on based on data studies, therefore bionomic of Anopheles sp is important to be studied. Bionomics data are consisted of breeding places, resting places and feeding habits are from direct observation. Interviews and questionnaires were conducted to gain information about respondent behavior. Descriptive and qualitative data were then analyzed. The breeding places of Anopheles sp. were mostly found in swampy areas. Based on the feeding habit, the feeding activity of Anopheles sp. inside the house has only one biting peak at 23.00-02.00 WIT, while outside the house, biting peaks occurred at 21.00-22.00 WIT and 00.00-01.00 WIT. Resting place data shown that Anopheles sp. mostly found in piles of clothes and shoe racks. Recorded factors that affect mosquitos bionomics are temperature, humidity, salinity, pH, community behavior, and the presence of livestock. Environmental factors (temperature, humidity, salinity, and pH), habitual behavior of host (3M action, the habit of using insect repellent, mosquito repellent, and mosquito nets), the presence of livestock, and the type of bait blood type affect mosquito activity.


2020 ◽  
Vol 27 (1) ◽  
pp. 32-41 ◽  
Author(s):  
Subhash C. Basak ◽  
Apurba K. Bhattacharjee

Background: In view of many current mosquito-borne diseases there is a need for the design of novel repellents. Objective: The objective of this article is to review the results of the researches carried out by the authors in the computer-assisted design of novel mosquito repellents. Methods: Two methods in the computational design of repellents have been discussed: a) Quantitative Structure Activity Relationship (QSAR) studies from a set of repellents structurally related to DEET using computed mathematical descriptors, and b) Pharmacophore based modeling for design and discovery of novel repellent compounds including virtual screening of compound databases and synthesis of novel analogues. Results: Effective QSARs could be developed using mathematical structural descriptors. The pharmacophore based method is an effective tool for the discovery of new repellent molecules. Conclusion: Results reviewed in this article show that both QSAR and pharmacophore based methods can be used to design novel repellent molecules.


2018 ◽  
Vol 3 (1) ◽  
pp. 7
Author(s):  
Yuska Novi Yanti ◽  
Hepiyansori Hepiyansori

<p>Indonesia daerah tropis yang baik untuk perkembangan jenis nyamuk sehingga membahayakan kesehatan. Indonesia kaya tanaman tradisional untuk  pengobatan. Salah Satunya Mahoni (Swietenia mahogany (L.)Jacq) pada bagian biji yang digunakan masyarakat untuk pengobatan malaria, diabetes, dan darah tinggi. Kandungan pada biji Mahoni yaitu saponin dan flavanoid dapat digunakan sebagai sediaan obat anti nyamuk. Sampel penelitian ini adalah biji mahoni yang diambil dari Taman Remaja Kota Bengkulu lalu di maserasi menggunakan pelarut metanol p.a dan etanol 96% selanjutnya ekstrak dibuat menjadi 3 konsentrasi ekstrak yaitu 1%, 3% dan 5%. Kemudian dibuat keping anti nyamuk dan di buat obat anti nyamuknya, dilanjutkan dengan pengujian evalusi ekstrak meliputi uji organoleptis, uji kadar abu dan uji rendemen kemudian pengujian evalusi sediaan yang meliputi uji organoleptis, uji keping anti nyamuk dan uji ketahanan sediaan. Hasil penelitian didapatkan, ekstrak metanol biji mahoni dapat mempengaruhi sifat fisik sediaan keping nyamuk, Ekstrak biji mahoni berwarna coklat sampai kemerahan, memiliki bau khas (aroma kacang tanah), konsistensi cukup padat sedikit berminyak dan berasa pahit. Uji parameter standar menghasilkan data untuk rendemen sebesar 0,8235% untuk metanol dan 0,6747% untuk etanol, kadar abu untuk metanol 1,249% dan untuk etanol 1,022%. sehingga ekstrak metanol biji mahoni dapat dibuat menjadi sediaan keping anti nyamuk.</p><p><em>Indonesia tropical region places the development  some mosquitoes that endanger health. Indonesia traditional crops can used for treatment. Mahoni (Swietenia mahogany (L.)Jacq)  a plant which usually treatment. Especially   part of the seed malaria drugs, diabetes and high blood pseasure.That in the seeds of mahoni there is saponin and flavonid can be used as a mosquito repellent. The sample this research is seeds mahoni taken from the Remaja Bengkulu Pares. Processed  maserasi with methanol solvent p.a and ethanol 96% next methanol made to 3 concentration an extract that 1%, 3% and 5%. Created pieces of mosquito repellent and mosquito repellent that followed terts the evaluation of extract. covers organoleptis, ash content and rendemen and testing performed and evaluation dosage, includes organoleptis, pieces  mosquito repellent and dosage resutance.Result experiment is extract methanol seeds mahoni 82,35 gram and extract ethanol seeds mahoni 67,47 gram. Extract colored from dark brown to reddish, have peanut like aroma, adequate compact consistency, bitter taste and not sticky in hand. The result of standard quality parameters rendemen extract methanol 0,8235% and rendemen extract ethanol 0,6747%, ash content extract methanol 1,247% and ash content extract ethanol 1,022%. so that the extract of methanol mahogany seeds can  made into anti-mosquito </em></p>


2021 ◽  
Vol 644 (1) ◽  
pp. 012060
Author(s):  
R Rusnanda ◽  
M Ramadhini ◽  
W S Putra ◽  
Asmaidi
Keyword(s):  

1983 ◽  
Vol 72 (2) ◽  
pp. 169-173 ◽  
Author(s):  
William G. Reifenrath ◽  
Louis C. Rutledge
Keyword(s):  

Peptides ◽  
2004 ◽  
Vol 25 (6) ◽  
pp. 985-989 ◽  
Author(s):  
James E Cox ◽  
Alan Randich

2016 ◽  
Vol 15 (1) ◽  
Author(s):  
Jonathan N. Hogarh ◽  
Philip Antwi-Agyei ◽  
Kwasi Obiri-Danso

Phytomedicine ◽  
2002 ◽  
Vol 9 (3) ◽  
pp. 259-262 ◽  
Author(s):  
A.O. Oyedele ◽  
A.A. Gbolade ◽  
M.B. Sosan ◽  
F.B. Adewoyin ◽  
O.L. Soyelu ◽  
...  

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