31 research outputs found
Stabilization of Frying oils with Natural Extractives
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
A Study on Microencapsulation of Peltophorum Ferrugineum Flower Extract
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Instrumental method of analysis of polyphenols and flavonoids in guava tender leaves and product preparation
No full textProAll-D: protein allergen detection using long short term memory - a deep learning approach
Get PDFBackground: An allergic reaction is the immune system\u27s overreacting to a previously encountered, typically benign molecule, frequently a protein. Allergy reactions can result in rashes, itching, mucous membrane swelling, asthma, coughing, and other bizarre symptoms. To anticipate allergies, a wide range of principles and methods have been applied in bioinformatics. The sequence similarity approach\u27s positive predictive value is very low and ineffective for methods based on FAO/WHO criteria, making it difficult to predict possible allergens. Method: This work advocated the use of a deep learning model LSTM (Long Short-Term Memory) to overcome the limitations of traditional approaches and machine learning lower performance models in predicting the allergenicity of dietary proteins. A total of 2,427 allergens and 2,427 non-allergens, from a variety of sources, including the Central Science Laboratory and the NCBI are used. The data was divided 80:20 for training and testing purposes. These techniques have all been implemented in Python. To describe the protein sequences of allergens and non-allergens, five E-descriptors were used. E1 (hydrophilic character of peptides), E2 (length), E3(propensity to form helices), E4(abundance and dispersion), and E5 (propensity of beta strands) are used to make the variable-length protein sequence to uniform length using ACC transformation. A total of eight machine learning techniques have been taken into consideration. Results: The Gaussian Naive Bayes as accuracy of 64.14 %, Radius Neighbour\u27s Classifier with 49.2 %, Bagging Classifier was 85.8 %, ADA Boost was 76.9 %, Linear Discriminant Analysis has 76.13 %, Quadratic Discriminant Analysis was 84.2 %, Extra Tree Classifier was 90%, and LSTM is 91.5 %. Conclusion: As the LSTM, has an AUC value of 91.5 % is regarded best in predicting allergens. A web server called ProAll-D has been created that successfully identifies novel allergens using the LSTM approach. Users can use the link https://doi.org/10.17632/tjmt97xpjf.1 to access the ProAll-D server and data
Overview on Adverse Drug Reaction Reported- A Case Report
No full textPharmacovigilance is an important step in the present era which is concerned with identifying the hazards associated with pharmaceutical products and with minimizing the risk of any harm. Pharmacovigilance is defined as “the science relating to the collection, detection, understanding, assessment, monitoring and prevention of adverse effects with pharmaceutical products”. Adverse drug reaction (ADR) is defined as “the response to a drug which is noxious, unintended and which occurs at doses normally used in man for prophylaxis, diagnosis or therapy of disease or for the modification of a physiological function”. This article focuses a case presentation reported for ADR; a 32-year-old female of pitta-kapha prakruthi resident of Mysuru, Karnataka visited the JSS Ayurveda Hospital, Mysuru for Greeva shula (neck pain) and associated skin issues. After the application of Six C ointment advised for skin ailments, patient developed skin rashes with blister formation over the dorsal surface of the right hand and the adverse reactions subsided after stopping the suspected drug. For this case report, Naranjo’s ADR Probability Scale assessment score was 3 and as such not any conclusive reports on Six C ointment of previous ADRs have been reported. There is a need to educate all the Medical Professionals and encourage them to analyze and report any adverse drug reactions or adverse effects that occur in a patient. This report highlights the need of implementation of Pharmacovigilance and additional researches to be carried out in the field of skin toxicity over Six C ointment
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No full textPublished work is the research findings of senior author - INSPIRE FELLOW at ICAR-IIHRThe present study was aimed to determine the effect of abiotic factors on population of B. dorsalis in an
organic mango orchard and to develop weather forecast models at ICAR- Indian Institute of Horticultural
Research, Bangalore, Karnataka in an organic mango orchard during Jan 2014- Dec 2015. Correlation
studies showed that there was a significant positive correlation between maximum and minimum
temperature, wind speed and rainfall. The linear regression explained the highest variability R2=0.74 with
wind speed and multiple regression analysis with all the significant weather variables could explain the
variability to an extent of 83% during the fruiting phase of mango. Thus, the simple linear regression
model derived from windspeed can be considered as a best single predictor for forecasting the changes in
population of B. dorsalis that can be used in the management decisions.Ni
Modification of Kakubhadi Churna into malahara and its physicochemical analysis
Get PDFSamskara is the process of modification of Guna of a given substance which is responsible for conversion of a raw material into medicine. These Samskara are responsible for the change in quality and property of any medicine. Primary preparations of Bhaisajya Kalpana known as Panchavidha kashaya Kalpana are modified into secondary dosage forms like Vati, Avaleha, Malahara, Sneha kalpana etc in order to achieve better shelf life, easy administration and palatability. Churna kalpana is an Upkalapana of Kalka kalpana, it is mentioned to be used in many disease conditions. One among these is Kakubhadi churna, which is indicated to be sprinkled externally on Dushta Vrana. As this method of application is cumbersome and not patient friendly, an attempt has been made to modify Kakubhadi churna into Malahara. Malahara is similar to ointments and creams in modern pharmaceutics. When compared to Churna, it has as an extended shelf life and also drugs in the form of Malahara are easy to apply and store. Taking all this under consideration, present study was taken up to modify Kakubhadi churna into Malahara. Physico chemical analysis of prepared Churna and Malahara was also done to achieve preliminary standard
A study to evaluate the preservative action of Twak Arka in Triphala Kwatha
Get PDFIntroduction: Primary dosage forms are basic preparations whose shelf life is a challenge for the practice. Kwatha is a preparation which is easily prone to contamination and can be marketed only by the addition of suitable preservatives to increase the shelf life. So addition of preservatives is being practiced to prolong the shelf life of kwatha but presently using chemical preservatives are harmful to body and even have carcinogenic effects. Hence there aroused a need to find natural preservatives. Arka which is a water distillate consists of essential substances from the crude drug and has longer shelf life. Twak arka possess anti- microbial and anti- oxidant properties and economically cheaper and easily available drug and triphala kwatha being useful in many purposes. In this study an attempt was made to elucidate the preservative action of twak arka in triphala kwatha. Materials and methods: Includes preparation of twak arka, triphala kwatha and conduction of analytical and microbiological study to see the preservative action using SDA and MHA media. Observations and results: Study follows observations over microbial growth of the sample on daily basis where twak arka showed preservative action for 31 days. Aspergillus niger was the fungal growth seen on 32nd day. Discussion: Twak arka owing to its pH, chemical constituents and other properties preserved the triphala kwatha for a stipulated period of time. Conclusion: From the study, it was concluded that the twak arka preserved triphala kwatha without any microbial contamination for 31 days which was added in the concentration of 15%
Isolation and antioxidant efficacy of nutraceutical concentrates from sesame and flax seed oils
No full textOils obtained from raw and roasted sesame (Sesamum indicum) and flaxseed (Linum usitatissimum), were used to
isolate antioxidant/nutraceutical concentrates. Roasting showed no adverse effect on the fatty acid composition of these oils.
Antioxidant concentrate of sesame oil showed absorbance at X.max 288-289 nm for sesamol. The presence of lignan
molecules in all the concentrates was confirmed by FT-IR frequencies. Thin layer chromatography of ethanol extract of
sesame seed oil (EESSO), ethanol extract of roasted sesame seed oil (EERSSO), ethanol extract of flaxseed oil (EEFSO) and
ethanol extract of roasted flaxseed oil (EERFSO) revealed the presence of vanillic, cinnamic and hydroxy benzoic acids.
Polyphenol content of residual sesame oil was 5.8% and of roasted flaxseed oil concentrate 9.1%. The sesamol content was
maximum (22,931 ppm) in EERSSO. The concentrates EESSO, EERSSO, EEFSO and EERSFO at 200 and 500 ppm have
been fortified to refined sunflower oil without tertiary butyl hydroquinone (TBHQ) to assess their antioxidant potential at
ambient (25-28°C) and elevated temperature (37°C) for 12 weeks period. The free fatty acids and anisidine value for
sunflower oil with TBHQ and sunflower oil with above concentrates were close to each other. Nutraceutical concentrate had
the matching potential to protect sunflower oil from autoxidation as compared to TBHQ
Preliminary analytical study of Ashvagandhadyarishta prepared from madhu and guda as sweetening agents
Get PDFIntroduction: Asava and arishta are medicinal preparations mentioned in Ayurvedic texts during which it undergoes a process of fermentation generating alcohol thus facilitating the extraction of the active principles contained in the drugs. Ashvagandhadyarishta is a type of arishta preparation where madhu (honey) is mentioned as madhura dravya (sweetening agent) in the formulation. So in this study an attempt is made to prepare Ashvagandhadyarishta in two batches by adding madhu as madhura dravya in one batch and guda (jaggery) as madhura dravya in another batch and to compare their organoleptic and analytical parameters. Materials and Methods: Study includes two batches of Ashvagandhadyarishta preparation followed the method as per Ayurvedic Formulary of India. Observations and Results: Analytical study of both the batches was done and their parameters were compared and analyzed including organoleptic features. Discussion: Both batches differ in the properties of final product as the sweetening agents used are different. Ashvagandhadyarishta containing guda as madhura dravya has greater values of analytical parameters comparatively, infers the influence of components present in guda. Conclusion: Change in the analytical and organoleptic characters were observed owing to the changes in the sweetening agents. Further research works has to be carried out to understand the clinical efficacy
