An analysis on micronutrient deficiency in plant leaf and soil using digital image processing

The plant requires thirteen different nutrients. The two main types of nutrients are micronutrients and macronutrients. Diseases develop due to deficiency of vital nutrients, resulting in colored spots on the leaves. Plant development is affected by toxicity or lack of one or more of these nutrients, resulting in plant death. As a result, a continuous monitoring system is necessary to know the nutritional status of the plants to enhance production efficiency and output. Optical image recognition-based medical technology can identify indicators of inaccuracy faster than the human eye. Consequently, farmers are prepared to take prompt and effective remedial action. This article investigates the nutrient deficits in plants using image processing techniques

Polymerase chain reaction and real-time PCR parameters for amplification of hydrolytic microorganisms and hydrogenotrophic methanogens in anaerobic bioreactor

246-252The objective of the present research is to envisage microbial assorted variety in the reactor through systems of general polymerase chain reaction (PCR) and real-time PCR, which can be further applied for production of methane using anaerobic reactor by employing vegetable waste as a feed. The outcomes proposed the names of species identified with the hydrolytic microorganisms, for example, Bacillus subtilis and hydrogenotrophic methanogenic archaea like i.e. Methano culleus and i.e. Methano corpusculum of the methanogenic microbes. Results demonstrated that, presence of methanogenic archaea in the reactor was confirmed using general PCR

Biodegradation of sulfanilic acid using Bacillus cereus AAA2018 from textile industry effluent contaminated soil

Biodegradation of hazardous aromatic compounds is emerging as a potential tool for reduction of environmental pollution due to their high toxicity and complex synthetic nature. In this study textile effluent was used as a microbial source for aerobic degradation of sulfanilic acid. Two adaptation techniques were followed to maximize uptake of sulfanilic acid, provided as a carbon and nitrogen source. The continuous enrichment and acclimatization media techniques were carried out for 20 days, respectively and both samples were screened for better degradation efficiency. The isolates were found to be similar to the colonies obtained from effluent. Sulfanilic acid degrading organism was identified as Bacillus cereus AAA2018 using 16S rRNA sequencing. Similarly, study was done for fungal strain Aspergillus japonicas. The bacterial strain showed subsequent reduction of sulfanilic acid at minimal salt concentration, whereas A. japonicus showed very little degradation efficiency comparatively. The comparative study of biodegradation capacity of sulfanilic acid was confirmed using GCMS in which product degradation profile of both bacterial and fungal strains included Dimethyl sulfoxide (DMSO) and Phenol 2,4-bis(1,1-dimethyethyl) which gives an explanation for decrease in growth of bacterial culture as DMSO act as strong antibacterial agent

Process optimization of BTEX degradation from petrochemical effluent using integrated advanced oxidation

In this study, an integral treatment consisted of UV/Fenton/ TiO2 system in the batch systems was developed to perform degradation of synthetic Benzene, Toluene, Ethyl Benzene, and Xylene (BTEX). Initially, the efficiency of photo Fenton catalytic degradation was compared with conventional treatment methods. Later, optimum levels of selected variables such as the initial concentration of BTEX, pH, temperature, reaction time, and initial dosage of TiO2 were analyzed using one factor at a time method. Further, screening of variables and optimization were performed using Planckett-Burman design and central composite design, respectively. Photo Fenton catalytic process showed about 1.15 fold increase in efficiency when compared with photo Fenton process. Among the selected seven variables, four variables namely, initial pH, BTEX concentration, H2O2 dosage and TiO2 dosage were identified as significant factors. Under the optimal conditions, chemical oxygen demand reduction reached about 84.54 ± 2.57% using UV/Fenton/ TiO2 system. Finally, first-order kinetic model resulted in prediction of 19.43 kJ/mol of activation energy. Thus, process optimization and kinetic study using the developed photo Fenton catalytic system could be beneficial for real time waste containing BTEX pollutants

Evaluation of pre-operative albumin in the prediction of outcomes of emergency laparotomy

Background: Hypoalbuminemia has been established indicator of nutritional status, which may and may not be clinically apparent, but is linked to a significantly higher risk of morbidity and mortality. Objective: To assess the post-operative morbidity with relation to pre-operative albumin status in patients undergoing emergency abdominal surgery. Methods: It was a hospital based observational study, 100 patients undergoing emergency abdominal surgery at Tertiary care Hospital was included. Hypoalbuminemia was diagnosed if serum albumin level was less than 3.5 gm/dl. Study period was between May 2021 to April 2022. The Statistical software namely SPSS 11.0 and Systat 8.0 were used for the analysis. Results: Pre-operatively, 60 patients had hypoalbuminemia (serum albumin <3.5 g/dl) and 40 patients had normal albumin levels (≥3.5 g/dl). Out of 100 patients, 41 (41%) developed complications postoperatively. 32 patients (50%) out of 60 patients with hypoalbuminemia (with serum albumin<3.5 g/dl) had complications. 9 patients (17.5%) with albumin level ≥3.5 g/dl had complications. Mean length of hospital stay was found to be higher i.e. 9.70±4.75 days in patients with hypoalbuminemia, compared to 6.45±3.31 days with those having albumin level ≥3.5 g/dl. Conclusions: Preoperative albumin is a useful low-cost prognostic predictor for predicting surgery outcome

Role of C-reactive protein in acute appendicitis: A diagnostic Approach

Background: Acute appendicitis is one of the common surgical emergencies. Appendicitis is a common surgical emergency and diagnostic dilemma. Making the correct diagnosis is often difficult as the clinical presentation varies according to the age of the patient and the position of appendix. Objective-To investigate the efficacy of C-reactive protein in the diagnosis of acute appendicitis. Methods: A prospective study done on patients coming to hospital with clinical diagnosis of acute appendicitis and underwent appendectomy.The blood samples for C-reactive protein were drawn before taking the patient to the operating theatre. Removed appendices were sent for histopathological confirmation of diagnosis. Operative and histopathological findings were compared and analyzed with C- reactive protein. The data was entered and analysed in SPSS 23. Results: A total of 100 patients were included in the study. CRP was more than 6mg/l in 89 patients 87 patients had histopathologically inflamed appendix and serum CRP estimation in diagnosis of acute appendicitis yield sensitivity of 94%, specificity of 50%, positive predictive value of 95% and negative predictive value of 74%. Conclusions: CRP was raised in patients with acute appendicitis and it aids as a marker for diagnosing acute appendicitis and decreasing the rate of negative appendectomy.&nbsp

Modelling and process optimization for biodiesel production from Nannochloropsis salina using artificial neural network

In the present investigation, calcium oxide solid nanocatalyst derived from the egg shell and Nannochloropsis salina were used for the production of biodiesel. The morphological characteristics and functional groups of synthesized nanocatalyst was characterized by SEM and FTIR analysis. Process variables optimization for biodiesel production was studied using RSM and ANN. The R-2 values for RSM and ANN was found to be 0.8751 and 0.957 which showed that the model was significantly fit with the experimental data. The maximum FAME conversion for the synthesized nanocatalyst CaO was found to be 86.1% under optimum process conditions (nanocatalyst amount: 3% (w/v); oil to methanol ratio 1:6 (v/v); reaction temperature: 60 degrees C; reaction time 55 min). Concentration of FAME present in biodiesel was identified by GC-MS analysis