Effects of temperature and water purity on germination and yield of mungbean sprouts

Mungbean (Vigna radiata L. Wilczek) is a popular pulse crop, producing protein-rich food and nitrogen-rich residues. Mungbean sprouts were grown at different temperature levels of 10, 20 and 30°C in various water purities of 30 (distilled water), 100, 400, 700 and 1000 TDS (ppm). After keeping them in the germination chamber for 72 h, the percentage of germination, stem length and yield along with proximate composition were determined. The temperature was kept as main factor and water purity as the second. The experiment was replicated four times and the data obtained were analyzed using two factorial completely randomized design. The results showed that both the factors had significant (p<0.05) effect on the germination, stem length, yield as well as proximate composition. A temperature of 30°C and water with high purity of 30 TDS resulted in high emergence (69%), stem length (3.14 cm) and yield (70.1 g) as compared to the other treatments. Minimum germination (2.1%), stem length (0.11 cm) and yield (12.11 g) were recorded in samples kept at low temperature of 10°C and water purity with 1000 TDS. The mungbean seeds showed a very low plasticity to water purity, and that they were very susceptible to water impurities. It is concluded that, to prepare sprouts from mungbeans, it is necessary to germinate mungbean seeds them in water having high purity and temperature of 30oC for maximum germination, stem length and yield

Production of Remedial Proteins through Genetically Modified Bacteria

Recombinant DNA technology has created biological organisms with advanced genetic sequences and has been extensively used to express multiple genes for therapeutic purposes when expressed in a suitable host. Microbial systems such as prokaryotic bacteria has been successfully utilized as a heterologous systems showing high therapeutic potency for various human diseases. Bioengineered bacteria have been successfully utilized for producing therapeutic proteins, treating infectious diseases, and disease arise due to increasing resistance to antibiotics. Prominently E. colifound to be the most widely used expression system for recombinant therapeutic protein production i.e. hormones, enzymes and antibodies. Besides E. coli, non-pathogenic lactic acid bacteria has also been considered as an excellent candidate for live mucosal vaccine. Likewise, S. typhimuriumhas been deployed as attenuated type of vaccination as well as in treatment strategy of various cancers due to its ability of wide progression in tumors. The present article is a summarized view of the main achievements and current developments in the field of recombinant therapeutics using bacterial strains focusing on their usability in therapeutics and future potential. 

Serum magnesium levels and acute exacerbation of chronic obstructive pulmonary disease: a retrospective study

A decrease in serum Mg+ 2 is associated with airway hyper-reactivity and impaired pulmonary function. The purpose of this study was to determine if decreased serum Mg+ 2 levels in patients with chronic obstructive pulmonary disease (COPD) are associated with acute exacerbations. In a retrospective study, the charted serum Mg+ 2 levels in 100 COPD patients were examined. These included 50 patients who presented with an acute exacerbation of COPD and 50 stable patients. Chart review was sequential within both groups. Serum Mg 2+ levels in the stable COPD patients averaged 0.91±0.10 mmol/L (mean±SD) with a 95% CI of 0.88–0.94 mmol/L. Patients undergoing an exacerbation had significantly lower serum Mg+ 2 levels (0.77±0.10 mmol/L; CI, 0.74–0.79; p< 0.0001). Logistic regression of the dichotomous outcomes as a function of serum Mg+ 2 concentration demonstrated a highly significant

Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images

Haemoglobin (Hb) electrophoresis is a method of blood testing used to detect thalassaemia. However, the interpretation of the result of the electrophoresis test itself is a complex task. Expert haematologists, specifically in developing countries, are relatively few in number and are usually overburdened. To assist them with their workload, in this paper we present a novel method for the automated assessment of thalassaemia using Hb electrophoresis images. Moreover, in this study we compile a large Hb electrophoresis image dataset, consisting of 103 strips containing 524 electrophoresis images with a clear consensus on the quality of electrophoresis obtained from 824 subjects. The proposed methodology is split into two parts: (1) single-patient electrophoresis image segmentation by means of the lane extraction technique, and (2) binary classification (normal or abnormal) of the electrophoresis images using state-of-the-art deep convolutional neural networks (CNNs) and using the concept of transfer learning. Image processing techniques including filtering and morphological operations are applied for object detection and lane extraction to automatically separate the lanes and classify them using CNN models. Seven different CNN models (ResNet18, ResNet50, ResNet101, InceptionV3, DenseNet201, SqueezeNet and MobileNetV2) were investigated in this study. InceptionV3 outperformed the other CNNs in detecting thalassaemia using Hb electrophoresis images. The accuracy, precision, recall, f1-score, and specificity in the detection of thalassaemia obtained with the InceptionV3 model were 95.8%, 95.84%, 95.8%, 95.8% and 95.8%, respectively. MobileNetV2 demonstrated an accuracy, precision, recall, f1-score, and specificity of 95.72%, 95.73%, 95.72%, 95.7% and 95.72% respectively. Its performance was comparable with the best performing model, InceptionV3. Since it is a very shallow network, MobileNetV2 also provides the least latency in processing a single-patient image and it can be suitably used for mobile applications. The proposed approach, which has shown very high classification accuracy, will assist in the rapid and robust detection of thalassaemia using Hb electrophoresis images. 2022 by the authors.A part of the research was funded by the Higher Education Commission of Pakistan through its funded project of Artificial Intelligence in Healthcare, Intelligent Information Processing Lab, National Center of Artificial Intelligence.Scopu

Detection and comparison of light metals in hair among workers of different industries using Particle Induced X-Ray Emission (PIXE) for forensic casework

Background: The study was planned to evaluate the deposition of some metals in the scalp hair of the people working in the particular environment. Scalp hair samples were collected from different industry workers including pharmaceutical, textile and paint industry and analyzed for the determination of aluminum (Al), calcium (Ca), potassium (K) and sulfur (S). Hair analysis provides a better assessment of light metals present in the surroundings, as well as monitoring of variation of metals from place to place. Methods: The hair samples were collected from 21-55 years old employees working in industry for more than four years. Workers of the age less than 20 years and less than 4 years working experience were not including in this study. Particle Induced X-ray Emission (PIXE) system was used to detect the light metals from hair and probable matches were searched through National Institute of Standards and Technology (NIST) library. Results: The metals Al, S, K and Ca concentration was found maximum in the pharmaceutical industry workers. i.e., 575.1 µg/g, 190.7 µg/g, 11.1 µg/g and 9.1 µg/g respectively. The minimum concentration so these metals was found in paint industry workers i.e. 103.7 µg/g, 8.87 µg/g, 2.3 µg/g, and 1.7µg/g respectively. Conclusion: Light metal concentrations in hair samples showed a significant positive correlation. Our findings can play vital role for health departments and industrial environmental management system (EMS) authorities in policy making and implementation. Taken all together, the workers were facing minor health implications in these industries and need immediate protective measures to remediate the current situation

Exploring the nutritional characteristics of different parts of fig in relation to hypoglycemic potential

The current research study was designed to characterize leaf, peel and pulp of locally grown black variety of common fig (Ficus carica) followed by exploring its hypoglycemic potential through animal modeling. For the purpose, raw materials (fig, fruit and leaves) were procured from Abbotabad (Khyber Pakhtunkha, Pakistan) and nutritional profiling was carried out through their respective methods. In addition, antioxidants rich fractions were extracted using different solvents i.e. aqueous, methanol and ethanol. In the last, 56 days efficacy study was conducted in rats to assess the hypoglycemic potential of different parts of fig. Results showed that fig components are good sources of fiber, protein and minerals. Regarding extraction efficiency, aqueous extract exhibited the highest recovery (8.17%) followed by methanolic (7.65%) and ethanolic (7.30%) fractions, respectively. Additionally, Total phenolics, anthocyanins and flavonoids were estimated through HPLC and were found in descending order in leaf, peel and pulp, correspondingly. The highest amount of cyanidine-3-rutinoside (C3R) was recorded in aqueous extract of fruit peel, while leaf showed higher ferric reducing antioxidant power (FRAP) and 1,1-Diphenyl-2-picryl-hydrazyl (DPPH) inhibition potential in comparison of peel & pulp. The leaf extract of fig was effective in reducing the blood glucose level as compared to other treatments in both trials from 98±4.25 to 90.90±4.38 and 100±4.13 to 93.46±4.29 mg/dL, respectively. The results might be due to reduced cell damage that improved the insulin concentrations (Trial I) in experimental group i.e. 7.12, 5.23 & 3.56% by feeding leaf, peel and pulp extract, respectively, and similar trends were observed in trial II. Conclusively, fig leaf should be included in dietary regimens in addition to fig fruit due to health promoting potential that can combat lifestyle related disorders