Chromatograpahic Analysis of Eriobotrya japonica Fat

Thin layer chromatography and infrared spectophotometry of the fat of Eriobotrya japonica shows the presence of hydrocarbons (3.1%), was esters (5.3%), triglycerides (786%) and the last polar fraction containing fatty acids, colouring matter etc. (13.0%). After the saponification of the fat, the fatty acids C₁₂-C₂₄ and fatty alcohols C₁₂-C₂₆ determined first time as methyl esters and acetates respectively were identified by the application of gas liquid chromatography.     

Infrared Spectroscopy-Based Chemometric Analysis for Lard Differentiation in Meat Samples

One of the most pressing concerns for the consumer market is the detection of adulteration in meat products due to their preciousness. The rapid and accurate identification mechanism for lard adulteration in meat products is highly necessary, for developing a mechanism trusted by consumers and that can be used to make a definitive diagnosis. Fourier Transform Infrared Spectroscopy (FTIR) is used in this work to identify lard adulteration in cow, lamb, and chicken samples. A simplified extraction method was implied to obtain the lipids from pure and adulterated meat. Adulterated samples were obtained by mixing lard with chicken, lamb, and beef with different concentrations (10%–50% v/v). Principal component analysis (PCA) and partial least square (PLS) were used to develop a calibration model at 800–3500 cm⁻¹. Three-dimension PCA was successfully used by dividing the spectrum in three regions to classify lard meat adulteration in chicken, lamb, and beef samples. The corresponding FTIR peaks for the lard have been observed at 1159.6, 1743.4, 2853.1, and 2922.5 cm⁻¹, which differentiate chicken, lamb, and beef samples. The wavenumbers offer the highest determination coefficient R² value of 0.846 and lowest root mean square error of calibration (RMSEC) and root mean square error prediction (RMSEP) with an accuracy of 84.6%. Even the tiniest fat adulteration up to 10% can be reliably discovered using this methodology.     

Lipid Class and Fatty Acid Composition of Psoralia corylifolia Seed

The purified crude lipid of Psoralia corylifolia seeds was subjected to lipid class and fatty acid analysis by thin layer and gas chromatography. The lipid classes identified were triacyl glycerol, free fatty acid, diacyl glycerol, mono acyl glycerol, hydrocarbon-waxester and polar lipid fractions. Most of the fractions were found to contain high level of C_18:1 while C_18:0, C_18:3 and C_20:0 were also found to be present in all the lipid fractions. It has been observed that the diacyl and monoacyl glycerol fractions contain significant amounts of C_14:0 and C_18:0 while the hydrocarbon-waxester fraction was rich in C_22:0. The polar lipids contain high level of C_18:3 and low level of C_18:1 as compared to other lipid fractions. The fatty acid composition of the whole oil was also determined and found to be similar to other fractions. Unidentified long chain fatty acids were also present in significant amounts in all the lipid fractions.     

Evolving Recurrent Neural Network using Cartesian Genetic Programming to Predict The Trend in Foreign Currency Exchange Rates

Forecasting the foreign exchange rate is an uphill task. Numerous methods have been used over the years to develop an efficient and reliable network for forecasting the foreign exchange rate. This study utilizes recurrent neural networks (RNNs) for forecasting the foreign currency exchange rates. Cartesian genetic programming (CGP) is used for evolving the artificial neural network (ANN) to produce the prediction model. RNNs that are evolved through CGP have shown great promise in time series forecasting. The proposed approach utilizes the trends present in the historical data for its training purpose. Thirteen different currencies along with the trade-weighted index (TWI) and special drawing rights (SDR) is used for the performance analysis of recurrent Cartesian genetic programming-based artificial neural networks (RCGPANN) in comparison with various other prediction models proposed to date. The experimental results show that RCGPANN is not only capable of obtaining an accurate but also a computationally efficient prediction model for the foreign currency exchange rates. The results demonstrated a prediction accuracy of 98.872 percent (using 6 neurons only) for a single-day prediction in advance and, on average, 92% for predicting a 1000 days’ exchange rate in advance based on ten days of data history. The results prove RCGPANN to be the ultimate choice for any time series data prediction, and its capabilities can be explored in a range of other fields.     

Introduction,production, characterization and applications of defects in graphene

Journal of Materials Science: Materials in Electronics - The successful preparation of graphene in research laboratory has brought a revolutionary progress in almost all the research fields...     

Rotating fullerene chains in carbon nanopeapods

The rotation of fullerene chains in SWNT peapods is studied using low-voltage high resolution transmission electron microscopy. Anisotropic fullerene chain structures (i.e., C300) are formed in situ in carbon nanopeapods via electron beam induced coalescence of individual fullerenes (i.e., C60). A low electron accelerating voltage of 80 kV is used to prevent damage to the SWNT. The large asymmetric C300 fullerene structure exhibits translational motion inside the SWNT and unique corkscrew like rotation motion. Another asymmetric fullerene chain containing mixed fullerene species is prepared by fusing smaller C60 fullerenes to a larger Sc@C82 fullerene, and this also exhibits corkscrew rotational motion. Chains of Sc3C2@C80 in SWNT peapods adopt a zigzag packing structure, and the entire zigzag chain rotates inside the SWNT to induce structural modifications to the SWNT diameter and cross-sectional shape of the SWNT. The expansion and contraction of the diameter of the SWNT is measured as 17%, demonstrating nanoactuation behavior in carbon nanopeapods.     

Anticarcinogenecity of microbiota and probiotics in breast cancer

Breast cancer is one of the most important causes of cancer related morbidity and mortality in the world. Along with genetic, environmental factors also play a multifaceted role in the development of disease. Breast contains several bacterial species performing specialized functions. Probiotics, as functional food, play pivotal role against breast cancer development in vivo and in vitro. Current review summarized all the available data related to diet, probiotics, and their association with breast cancer risk along with underlying mechanisms. Presently, it was believed that many of the commercially available probiotic products were safe to use and had some beneficial health effects for the host. Probiotics had a potential to act against breast cancer progression evidenced by many animal model and cell-based experiments. Some probiotics strains may be useful as an adjuvant therapy for breast cancer prevention or treatment, by modulating immune response or breast microbial community. However, large-scale clinical trials and intense research are mandatory to explore probiotics-related metabolic and molecular mechanisms in breast cancer.     

Patent information services in India with special reference to drugs and pharmaceuticals

Patent information is useful to a wide spectrum of users. Chemical patent information is particularly useful to those concerned with innovations in this area, as the chemical patent literature is almost of the same size as the chemical journal literature. National and International patent laws and treaties greatly influence the size of patent literature, its dissemination and exploitation for economic development. Paris Convention, WIPO and PCT programmes have all played an important role in the field of patent information. In India, patent information has a very significant role to play because the country's present law offers wide-ranging opportunities from adaptive development on a foreign patent to its commercialization. Patent information services in India are provided by several organisations which include the Patent Office Headquarters at Calcutta and its branches at New Delhi, Bombay and Madras; Patent Information System, Nagpur; National Informatics Centre, New Delhi; Patent Unit, Council of Scientific and Industrial Research, New Delhi; Technical Information Cell, Bharat Heavy Electricals Limited, Hyderabad; National Chemical Laboratory, Pune and National Information Centre for Drugs and Pharmaceuticals, Lucknow. Many of these organisations cover all areas of technology whereas others are restricted to particular disciplines. National Information Centre for Drugs and Pharmaceuticals is one such specialised centre restricted to only drugs and pharmaceutical. Its services such as patent bulletin and patent searches on selected drugs have been well accepted by the users. The Centre's holdings of foreign patent literature are meagre and need to be strengthened by acquiring them mainly from the U.S.A., France, F.R.G., Japan, Italy and Switzerland which are the top six nations responsible for introducing new drug substances. With a computer now installed at the Centre, the Centre should acquire INPADOC database and collaborate with existing Patent Information System, Nagpur and National Informatics Centre, New Delhi for better services. A survey of the patent information services in the countries of Asia and the Pacific carried out by the International Bureau of WIPO has put India in the first category because here information services are rendered by both the Industrial property organisation and other outside agencies.     

Fast Batch Production of High‐Quality Graphene Films in a Sealed Thermal Molecular Movement System

Chemical vapor deposition (CVD) growth of high‐quality graphene has emerged as the most promising technique in terms of its integrated manufacturing. However, there lacks a controllable growth method for producing high‐quality and a large‐quantity graphene films, simultaneously, at a fast growth rate, regardless of roll‐to‐roll (R2R) or batch‐to‐batch (B2B) methods. Here, a stationary‐atmospheric‐pressure CVD (SAPCVD) system based on thermal molecular movement, which enables fast B2B growth of continuous and uniform graphene films on tens of stacked Cu(111) foils, with a growth rate of 1.5 µ m s^?1, is demonstrated. The monolayer graphene of batch production is found to nucleate from arrays of well‐aligned domains, and the films possess few defects and exhibit high carrier mobility up to 6944 cm² V^?1 s^?1 at room temperature. The results indicate that the SAPCVD system combined with single‐domain Cu(111) substrates makes it possible to realize fast batch‐growth of high‐quality graphene films, which opens up enormous opportunities to use this unique 2D material for industrial device applications.