Informatics Publishing Limited

S. Mohan Raj ¹, Shahid Mohammed ², S. Vinoth Kumar ³, C. Santhosh Kumar ⁴, Subal Debnath ⁴

Affiliations
1 Department of Pharmacology, Jogaiah Institute of Technology and Sciences, College of Pharmacy, IN
2 Jogaiah Institute of Technology and Sciences, College of Pharmacy, Kalagampudi, W.G, Andhra Pradesh, IN
3 Gogulakrishna College of Pharmacy, Sulurpet, Andhra Pradesh, IN
4 Srikrupa Institute of Pharmaceutical Sciences, Vil. Velkatta, Kondapak (Mdl), Dist. Medak, Siddipet, Andhra Pradesh - 502 277, IN

Abstract

The Antidiabetic activity of fruits and seeds ethanolic extract of Luffa acutangula (Cucurbitaceae) was studied in a Streptozotocin {STZ) induced diabetic in rats. The acute toxicity and lethality (LD₅₀) and the Phytochemicals analysis of the extract were also evaluated. The results showed that the extract (200 and 400 mg/kg) significantly (P<0.05) reduced fasting blood sugar of Streptozotocin diabetic rats in a dose-related manner, with maximum hypoglycemic effect at after 21 days. Acute toxicity and lethality test of the extract in rats gave an oral LD₅₀ greater than 5 g/kg. It is clearly evident from the study that the streptozotocin administration caused the significant increase in the blood glucose level at 0 day (p<0.001). The 50% ethanolic extract of the fruits of Luffa acutangula showed the significant effect compared with the respective diabetic control group, decrease the blood glucose level at a dose of 200 mg/kg and 400 mg/kg (p<0.001), the standard drug glibenclamide also showed the significant decrease the blood glucose level after 21 days (241.33-105.33, p<0.001). Finally the 400 mg/kg and the standard drug showed the significant decrease in the blood glucose level after 21 days treatment (p<0.001). The findings indicate that the leaves of Luffa Acutangula may be beneficial as an Antidiabetic therapy.

Keywords

Streptozotocin, Luffa acutangula, Antidiabetic.

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S. Mohan Raj ¹, V. Kavitha ¹

Affiliations
1 Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur – 639113, Tamil Nadu, IN

Abstract

Objectives: To detect and remove the unwanted weeds present in an agricultural field and spray the pesticide at exact location of plants. Methods/Statistical Analysis: The entire process is implemented by using Labview programming with Machine Vision libraries. The movable agricultural vehicle is incorporated with machine vision library and microcontroller. The unwanted plants or weeds are identified by using Labview simulation process. Plants must be differentiated accordingly based on the type of weed that will affect the yield. The characteristics of weed should be properly studied. Findings: The unwanted plants or weeds grown will reduce the yield. Weed detection and removal in agricultural field is the main process. Utilization of the herbicides can be diminished just by appropriate breaking down of the weed. Application/Improvements: The position of weeds is automatically identified. Spraying of herbicide can be taken automatically or takes place once the position of the weed is detected by using spraying module.

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