Application of Artificial Intelligence in Chemistry

All the problems can be solved with the help of machines mainly computers using algorithm and by interpreting their output data is considered as artificial intelligence (AI). Artificial intelligence is faster than manual work, reduces manpower, more efficient and accurate and used in various field these days and coming up with more advanced technology. With the help of artificial intelligence, drugs can be formulated and produced in an advanced way. New machineries’ used in chemical or pharmaceutical labs are much advanced these days, that reduces the time of the analysis. There is a strong bond between artificial intelligence and chemistry. In the field of chemistry designing new molecules, molecular property detection of molecules and compounds, drug discovery, synthesis and retrosynthesis of molecules, analysis prediction for better and accurate results, all these can be done with the help of artificial intelligence.

Advanced Materials in Cancer Therapy

The overview of this review article depends on the various techniques of formation of silver nanoparticles and different application take place in medicinal point of view. The branch of nanotechnology plays an important role in medical science research. In this different nanoparticle is synthesized which have various application in gene delivery, drug delivery and reduce the toxic effect of drugs in the human body and also act as an antibacterial in pharmaceutical industries. In recent days silver nanoparticles have had an important role due to their optical and catalytic properties. A large number of different particles or methods are used to prepare the different shapes of silver nanoparticles used in drug delivery. Different shapes of nanoparticles have increased their demand in various researches depend on medicinal uses. Silver nanoparticle preparation can be studied by 3 techniques related to irradiations, chemicals, bacteria, fungi, and plants. Nanomedicine have a large number of advantages in treating various chronic diseases by using biological agents, chemotherapeutic agents, and used to deliver the drug to a specific site of the body. A silver nanoparticle is prepared for detection tool to detect the adverse effect of diseases on the target cell. Nanoparticles are used in cancer therapy to remove the damaged cell of the body.

GREEN SYNTHESIS, GREEN CHEMISTRY, AND ENVIRONMENTAL SUSTAINABILITY

Purpose: The chemistry society has activated to expand new chemistry that is less destructive to the environment and human health. This approach has extensive interest and designated as green chemistry, environmentally friendly chemistry, clean chemistry, and atom economy. Methodology: There is advancement toward involved chemistry with the facts and do not prevent the properties of the target compound or the efficacy of particular solvents or reagents. The use of chemistry in a way that maximizes benefits while reducing adverse effects has come to be green chemistry. Main findings: Reduce the use and formation of harmful products or by-products. Presently maximum pollution to the environment is caused by some chemical industries. So, need to design and develop synthetic methods in such a way that the waste products are lowest and have no effect on the environment and their handy disposal. Applications of the work: Green chemistry plays a vital role in pharmaceuticals for developing new drugs which are less toxic, more effective with low side effects. The novelty of the work: The industries performing manufacturing using green synthesis methods to carrying out their productions have positive impacts on environmental sustainability. This review is looking ahead at longer-term challenges and prospects in research, industrial applications, and education.

HEAVY METALS IN THE FOOD CHAIN - CONSEQUENCES OF POLLUTING WATER BODIES

Purpose of the study: Heavy metals in food (vegetables, etc.) are harmful to humans due to their non-biodegradable nature, long biological half-lives, and their potential to accumulate in different body parts. Prolonged consumption of such heavy metal contaminated vegetables through foodstuffs may lead to chronic accumulation of heavy metals in human beings' kidneys and liver, disrupting numerous biochemical processes, leading to cardiovascular, neural, kidney and bone diseases. Method: The study on heavy metal concentrations in vegetables grown in the command areas of Varthur lake, Bangalore. The collected vegetable samples were analyzed using ICP-OES (Inductively Coupled Plasma-Optical Emission Spectroscopy) technique to assess the level of heavy metal in acid digested samples. Main Findings: The study has shown a significant accumulation of heavy metals in vegetables that correlated well with its concentrations in soil and lake water. The prolonged irrigation of vegetables using contaminated lake water has led to soil contamination, which ultimately resulted in contamination of vegetables due to the uptake and accumulation of heavy metals in edible portions of vegetables. Application of the Study: Urgent attention is needed to devise and implement appropriate means of regular monitoring of the toxic heavy metals from domestic sewage and industrial effluent and provide proper advice and support for the safe and productive use of wastewater for irrigation purposes to prevent excessive buildup of heavy metals in the food chain.

OPTIMIZATION OF PHARMACEUTICAL WASTEWATER TREATMENT BY BIOSORPTION USING GENETIC ALGORITHM

Purpose of the study: Optimizing the process of pharmaceutical wastewater treatment by biosorption using a genetic algorithm. Methodology: The main steps followed were, determination of the wavelength at maximum absorbance (λmax), drawing the calibration curve between the absorbance and the concentration of diclofenac sodium, designing the experiment using Design-Expert software, finding the percentage removal of diclofenac sodium for each run, obtaining the model equation of the analysis, finding the optimized condition using genetic algorithm in MATLAB software, running the experiment at the optimized conditions and analyzing the results. Main Findings: The technique used in the optimizing process was effective, in which the percentage removal was obtained as 8.73% at the optimized conditions. It was equivalent to 3.43 mg removal / g of activated carbon. Applications of this study: This technique can be applied in different industries especially the chemical and pharmaceutical industries. Novelty/Originality of this study: Using genetic algorithm in order to find the optimized condition of removing diclofenac sodium based on a set of data.

A COMPARATIVE STUDY OF PHYSICOCHEMICAL PARAMETERS OF BIRD'S VALLEY, PUNE QUARRY WATER AND DRINKING WATER

Purpose of the study: The purpose behind this study is to get the knowledge of the range of physicochemical parameters of the Bird's valley, Pune quarry water in comparison with the drinking water. Methodology: With the help of clean and sterilized polyethylene bottles of 1 liter capacity have been used for the collection of quarry water. Total 21 physico-chemical parameters have been analyzed and compared with the values for the drinking water. Analysis of water is carried out in the laboratory with the help of standard methods and techniques. Main Findings: Presence of mercury in quarry water is very much high i-e 0.006 mg/liter and coli form bacteria are also numerous in count. Applications of this study: This study gives us the idea about the range of the parameters of quarry water in comparison with drinking water and after the suitable treatment it could be converted into drinking water or not. Novelty/Originality of this study: Till the date no work has been done on quarry water like this, present study will help us to understand whether the quarry water could be used as a potable water or not.

THE COMPARISON OF GC-MS DATA OF LEAVES OF ALOE VERA (A. BARBADENSIS MILL) PLANT GROWN IN DIFFERENT SOIL COMBINATIONS WITH CHEMICAL LAB WASTES

Purpose of the study: The main purpose of this study is to do the comparison of the chemical constituents present in the leaves of Aloe Vera (A. barbadensis Mill) plant grown in different soil combinations using Gas Chromatography- Mass Spectrometry (GC-MS) data analysis. Plants were grown in two different combinations of soil, one in normal soil and the other in the combination of normal soil and solid chemical waste obtained from the chemistry laboratory of an educational institute. Methodology: One Aloe Vera (A. barbadensis Mill) plant was grown in normal soil without adding any compost or any fertilizer to the soil. The other plant was grown in soil, which was combined with the solid chemical waste collected from the chemistry laboratory. After observing the morphological characters of the plants, plants were studied for the chemical constituents present in them by using GC-MS data analysis technique. Main Findings: Growth of plants depends on the soil composition, physical characters and the surrounding environment. How the variation in chemical composition of soil affects the chemical constituents of plant leaves, has been discussed in this paper. According to morphological characters the Aloe Vera (A. barbadensis Mill) plant grown with soil combined with solid chemical waste has shown better results compared with the one grown in normal soil. GC-MS results also indicated variation in the chemical constitution of plant leaves taken for the research experiment. Applications of this study: This study has helped to understand that the soil environment and soil nutrients are largely responsible for the changes in chemical constituents of plants. This study can be applied to the other plants as well. Novelty/Originality of this study: In place of fertilizers, solid chemical waste from the laboratory was used for the research purpose. The method is useful and if implemented on a large scale, will help to curb pollution caused by educational institutes to some extent. This kind of research is not done previously by any other researcher.

STUDY OF PHYSICOCHEMICAL CHARACTERISTICS OF BIRD VALLEY’S QUARRY WATER PCMC, MAHARASHTRA

Purpose of the study: The purpose of this study is to make sure that the Bird valley’s quarry water is suitable for drinking purposes or not and to monitor the seasonal variations in the physico-chemical parameters of this quarry water. Methodology: Water samples from the quarry were collected in clean and sterilized polyethylene bottles. Water samples were collected from different points and mixed together to get an integrated sample. Some of the selected physico-chemical parameters of the quarry water have been analyzed. Results were compared with standard limits of IS: 10500-2012. All the parameters were analyzed in the laboratory by using standard methods and techniques. Main Findings: As per the obtained results this quarry water contains a very large number of Coliforms detected in the months of September and December and in June month Coliform count was 33 CFU/ml. This overall result for coliform is making this quarry water unfit for domestic purposes. Applications of this study: This study helps us to understand the current condition of this quarry water and also enables us to know whether the quarry water is fit for drinking purposes. It also enables us to know whether this quarry water can be used for domestic purposes after the treatment. Novelty/Originality of this study: Bird valley’s quarry water has not been analyzed from this point of view till date. This study will help us to understand the present condition of the water.

EFFICACY OF REJUVENATION OF LAKES IN BENGALURU, INDIA

Purpose of the study: The main objective of the present work is to assess the efficacy of the restoration endeavour in Bengaluru lakes, Karnataka, India. Rapid urbanisation coupled with industrialisation in urban areas has greatly stressed the available water resources qualitatively and quantitatively. This has also resulted in the generation of enormous sewage and wastewater after independence. Method: Environmental monitoring of 40 restored lakes was carried out to identify the key issues and assessing water quality (physical, chemical and biological). Weighted arithmetic water quality index (WQI) and Pearson’s correlation coefficient (r) was determined using data of physicochemical parameters of lakes. Principal Component Analysis (PCA) performed using PAST3 software to identify the factors responsible for variations in water quality. Main Findings: The monitored forty lakes distributed across the three major watersheds namely Koramangala and Challaghatta valley, Vrishabhavathi valley and Hebbal valley were grouped under three different WQI status like good water quality (10%); poor water quality (37%) and very poor water quality (53%). Majority of these restored lakes has become polluted which indicates improper decontamination and poor maintenance of restored lakes. Application of this study: This study provides vital information for policymakers to understand the gaps which helps in the course correction while implementing further rejuvenation of lakes. Novelty/Originality of this study: The efficacy of rejuvenation was assessed through integrated cost-effective scientific approaches for the lake monitoring. Monitoring during the pre and post rejuvenation period has aided in assessing the efficacy of rejuvenation, which is done for the first time in India.

SUSTAINABLE BIOFUEL PRODUCTION FROM ESTUARINE DIATOMS

Purpose of the study: Microalgae with better carbon sequestration potential, higher biomass, and lipid productivity in comparison to terrestrial counterparts is emerging as a viable sustainable alternative to fossil fuels. Diatoms, a subgroup of a broader category of microalgae are well-known for their role as a bio-indicator in palaeo-climatological studies across historical timelines. Understanding ecology, community structure, and habitat preference of diatoms are prerequisites for prioritizing diatom strains towards sustainable biofuel production along with value-added product extraction. Method: Selection of appropriate strains, economically viable harvesting and environmentally sound transesterification are the challenges faced in microalgal industry. The present study focusses on understanding the variability in benthic diatom community assemblages across seasons and its affinity to different substrata at fixed sampling locations in an estuarine eco-system through field sampling for twelve months covering all seasons. Main Findings: The results highlight the tolerance and resilience in select diatom strains in fluctuating water qualities and seasonal variations, the insights much needed during mass cultivation under open environments. Statistical data analyses revealed distinct demarcation between sensitive and tolerant species with selective habitat preferences and resilience to fluctuating environmental conditions. Variations of benthic diatom community structure across various substrata highlights substratum affinity of diatom strains. From the inferences derived through field studies, mixed consortia of diatoms were developed, monitored, and optimized for higher biomass and lipid productivity under controlled laboratory conditions. Application of the Study: The results highlight the prospects of phyco-prospecting of indigenously grown diatom strains for sustainable biofuel production.