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RISS 인기검색어
- 검색키워드
- 저자 : Sarkar Tanmay (검색결과 4 건)
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Tanmay Sarkar,Molla Salauddin,Runu Chakraborty 한국식품연구원 2021 Journal of Ethnic Foods Vol.8 No.-
West Bengal and Odisha, two distinguished provinces of India, are consecrated with prosperous animal resources. Both territories have substantially affluent traditional dairy-based products. Rasgulla is one of such kind of traditional Indian dessert made from milk casein with attractive white colour having a spongy, porous structure and spherical shape, popular all over the world for its taste, flavour and unique texture. It is mainly originated in the West Bengal and Odisha, through a cascade of ethnic gastronomic phenomena. Both the traditional and cutting-edge practice of rasgulla preparation has its own impact on the sensory attributes of the product. Researchers’ approach to improve textural, colour and sensory qualities of this astonishing dairy product has an appulse on overall acceptability of the product. Different types of milk and coagulant have a tremendous effect on the final quality of the product in terms of nutritional, textural and palatability characteristics of rasgulla. To make this traditional sweetmeat more nutritious, fortification and enrichment of functional features have been studied. Anti-diabetic rasgulla has been prepared to conquer the diabetes mellitus through re-modulation in the extent of sugar used to process this sweetmeat. Shelf-life of casein based products is one of the main concerns for researchers, due to abundance of ample amount of nutrients for optimum growth of microorganisms, along with the warm and humid condition of Indian subcontinent which accelerates the microbial propagation. Though the product has immense nutritional and sensory idiosyncrasy as well as folk medicinal importance, it is yet to be explored in coetaneous medical sciences.
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Sarkar Tanmay,Salauddin Molla,Choudhury Tanupriya,Um Jung-Sup,Pati Siddhartha,Hazra Sudipta Kumar,Chakraborty Runu 대한공간정보학회 2021 Spatial Information Research Vol.29 No.4
Being a seasonal fruit mango cannot be cherished over the year; dehydration may be a solution to preserve the deliquesce of mango as mango leather. The processing parameters like puree load (0.4–0.6 g/cm2 ), total soluble solid (20–30 B), oven temperature (60–80 C), and microwave power level (100–300 W) were optimised for a superior textural attribute (hardness) primitive drying method like sun drying, industrially practiced modern methods like hot air oven drying and microwave drying and cutting-edge drying technique like freeze-drying. Response surface methodology and artificial neural network technique were adapted to model these drying procedures by considering the central composite design. The mathematical operations guiding to describe the model were studied. Being an imperative parameter colour quantification is essential for food industries. Current research employs microwave drying to produce mango leather with colour quantification approach. The L, ‘a’ and ‘b’ values of the product have been measured by Hunter Lab colorimeter and by digital image analysis, to determine the chromatic view harmonious to human vision. The relative analysis of colour measurement through these two techniques has been studied.
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Freshness Assessment of Indian Gooseberry (Phyllanthus emblica) Using Probabilistic Neural Network
Mukherjee Alok,Sarkar Tanmay,Chatterjee Kingshuk 한국농업기계학회 2021 바이오시스템공학 Vol.46 No.4
Purpose In this paper, a probabilistic neural network (PNN)-based simple model for the detection of freshness in Indian gooseberry or amla (Phyllanthus emblica) samples has been developed. Methods The amla images have been analyzed using two features: hue histogram, which is a kind of color representative of the image, and entropy analysis, which corresponds to texture analysis of the sample images. Three freshness classes have been assigned depending on the freshness of the samples and governed by the Hedonic scale. Results The proposed PNN model is also tested with five different activation functions; out of which, radial and triangular basis functions are found to yield the most accurate results. Moreover, the hue-PNN model is found to possess marginal superiority over the entropy-PNN model, thus signifying the higher effectiveness of the former in the proposed work. The proposed work is computationally lighter as it contains PNN as the single analysis tool, aided by the image histograms. Moreover, the experiments have been conducted with the images captured using smartphones only, which establishes the portability of capturing images. Conclusions High freshness classification accuracy of 97.5%, ease of implementation, and use of smartphone captured images widen its practical applicability of developing into a smartphone application-based module.
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Amit Kumar Deb,Rakesh Singh,Subashini Kaliaperumal,Arun Alexander,Tanmay Gokhale,Sandip Sarkar 대한안과학회 2022 Korean Journal of Ophthalmology Vol.36 No.4
Purpose: Mucormycosis is a multisystemic, aggressive, and an opportunistic fungal infection. The most common type is rhino-orbito-cerebral mucormycosis (ROCM) accounting for almost 40% of the cases. In this study, we analyzed the etiopathology, clinical features, treatment outcome, and the factors associated with outcome in ROCM. Methods: Case records of 52 patients of ROCM were analyzed. Clinical parameters, laboratory parameters, imaging findings, treatment regime, and treatment outcome details were retrieved from each case record. The outcome measures were evaluated as treatment success and treatment failure. Univariate and logistic regression analyses were performed to identify factors associated with treatment outcome. Results: On univariate analysis, factors associated with poor treatment outcome were uncontrolled blood sugar, blood urea, diabetic ketoacidosis, duration of ocular symptoms, no perception of light at presentation, ptosis, conjunctival chemosis, relative afferent pupillary defect, two or more sinus involvement, bony erosion of orbital wall, intracranial extension, intraconal invasion, etc. On subsequent logistic regression analysis, factors that maintained significant association with poor treatment outcome were uncontrolled blood sugar (adjusted odds ratio [aOR], 1.17; p = 0.018), no perception of light at presentation (aOR, 10.67; p = .006), ptosis at presentation (aOR, 3.90; p = 0.03), conjunctival chemosis (aOR, 7.11; p = 0.024), relative afferent pupillary defect (aOR, 10.60, p = 0.01), central retinal artery occlusion at presentation (aOR, 3.54; p = 0.021) and two or more sinus involvement (aOR, 4.90; p = 0.009). Conclusions: The current study identified newer factors in the form of presenting ocular and radiological features as predictors for aggressive systemic disease and poor treatment outcome. Future prospective studies are, however, needed to substantiate these associations.
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