Description: Bio-oil produced from conventional flash pyrolysis has poor quality and requires expensive upgrading before it can be used as a transportation fuel. In this work, a high quality bio-oil has been produced using a novel approach where flash pyrolysis, catalysis and fractionation of pyrolysis vapors using two stage condensation are combined in a single process unit. A bench scale unit of 1 kg/h feedstock capacity is used for catalytic pyrolysis in an entrained down-flow reactor system equipped with two-staged condensation of the pyrolysis vapor. Zeolite-based catalysts are investigated to study the effect of varying acidities of faujasite Y zeolites, zeolite structures (ZSM5), different catalyst to biomass ratios and different catalytic pyrolysis temperatures. Low catalyst/biomass ratios did not show any significant improvements in the bio-oil quality, while high catalyst/biomass ratios showed an effective deoxygenation of the bio-oil. The application of zeolites decreased the organic liquid yield due to the increased production of non-condensables, primarily hydrocarbons. The catalytically produced bio-oil was less viscous and zeolites were effective at cracking heavy molecular weight compounds in the bio-oil. Acidic zeolites, H-Y and H-ZSM5, increased the desirable chemical compounds in the bio-oil such as phenols, furans and hydrocarbon, and reduced the undesired compounds such as acids. On the other hand reducing the acidity of zeolites reduced some of the undesired compounds in the bio-oil such as ketones and aldehydes. The performance of H-Y was superior to that of the rest of zeolites studied: bio-oil of high chemical and calorific value was produced with a high organic liquid yield and low oxygen content. H-ZSM5 was a close competitor to H-Y in performance but with a lower yield of bio-oil. Online fractionation of catalytic pyrolysis vapors was employed by controlling the condenser temperature and proved to be a successful process parameter to tailor the desired bio-oil properties. A high calorific value bio-oil having up to 90% organics was produced using two staged condensation of catalytic pyrolysis vapor. Zeolite-based acidic catalysts can be used for selective deoxygenation, and the catalytic bio-oil quality can be further improved with staged vapor condensation.

Description: Background: Cotton leaf curl disease, caused by single-stranded DNA viruses of the genus Begomovirus (family Geminiviridae), is a major constraint to cotton cultivation across Pakistan and north-western India. At this time only cotton varieties with moderate tolerance are available to counter the disease. microRNAs (miRNAs) are a class of endogenous small RNA molecules that play an important role in plant development, signal transduction, and response to biotic and a biotic stress. Studies have shown that miRNAs can be engineered to alter their target specificity. Such artificial miRNAs (amiRNAs) have been shown to provide resistance against plant-infecting viruses. Results: Two amiRNA constructs, based on the sequence of cotton miRNA169a, were produced containing 21 nt of the V2 gene sequence of Cotton leaf curl Burewala virus (CLCuBuV) and transformed into Nicotiana benthamiana. The first amiRNA construct (P1C) maintained the miR169a sequence with the exception of the replaced 21 nt whereas in the second (P1D) the sequence of the miRNA169a backbone was altered to restore some of the hydrogen bonding of the mature miRNA duplex. P1C transgenic plants showed good resistance when challenge with CLCuBV; plants being asymptomatic with low viral DNA levels. The resistance to heterologous viruses was lower and correlated with the numbers of sequence mismatches between the amiRNA and the V2 gene sequence. P1D plants showed overall poorer resistance to challenge with all viruses tested. Conclusions: The results show that the amiRNA approach can deliver efficient resistance in plants against a monopartite begomoviruses and that this has the potential to be broad-spectrum, providing protection from a number of viruses. Additionally the findings indicate that the levels of resistance depend upon the levels of complementarity between the amiRNA and the target sequence and the sequence of the miRNA backbone, consistent with earlier studies.

Description: Current day consumers prefer natural antioxidants to synthetic antioxidants because they are more active. However, the activity generally depends on the specific condition and composition of food. The aim of t...

Description: Chicken meat contains higher percentage of polyunsaturated fatty acids that are susceptible to oxidative deterioration ultimately leading towards lower consumer acceptability for chicken meat products. Accordi...

Description: IJERPH, Vol. 14, Pages 1152: Antibiotic Self-Medication among Non-Medical University Students in Punjab, Pakistan: A Cross-Sectional Survey International Journal of Environmental Research and Public Health doi: 10.3390/ijerph14101152 Authors: Ali Gillani Wenjing Ji Waqar Hussain Ali Imran Jie Chang Caijun Yang Yu Fang Background: Antibiotic resistance is a global threat. Scarce knowledge about safe and appropriate antibiotic use is coupled with frequent self-administration, e.g., in China. This repeated self-medication poses potential risk in terms of antibiotic resistance. Low-resource countries are facing an elevated burden of antibiotic self-medication as compared to developed ones. Thus, this study focused on evaluating the pervasiveness of antibiotic self-medication in 3 universities of Southern Punjab, Pakistan. Methods: We conducted a descriptive cross-sectional survey in three government sector universities of Southern Punjab, Pakistan. The study was carried out with self-administered paper-based questionnaires. Data was analyzed using SPSS version 18.0 (IBM, Chicago, IL, USA). Results: Seven hundred twenty-seven students out of 750 (response rate 97%) with a mean age ± SD of 23.0 ± 3.4 years agreed to participate in the study. The proportion of females was slightly greater (52%) compared with males (48%), and almost one-third of the respondents (36%) were in their 2nd year of university. Out of the total, 58.3% practiced self-medication in the preceding six months, and 326 (45%) confirmed the use of antibiotics. Metronidazole was the most frequently self-medicated antibiotic (48%). Out of the total, 72% demonstrated awareness regarding the side effects of antibiotics. Diarrhea was the well-known adverse effect (38%). Forty-three percent affirmed having antibiotic resistance knowledge, and 30% knew that the irregular use of antibiotics would lead to increased antibiotic resistance. Conclusion: Despite having ample awareness of the adverse antibiotic reactions, self-medication among the university students was high and antibiotic resistance was a fairly unknown term.

Description: Sustainability, Vol. 10, Pages 2101: Impact of Climate Smart Agriculture (CSA) Practices on Cotton Production and Livelihood of Farmers in Punjab, Pakistan Sustainability doi: 10.3390/su10062101 Authors: Muhammad Ali Imran Asghar Ali Muhammad Ashfaq Sarfraz Hassan Richard Culas Chunbo Ma Cotton is the second largest crop of Pakistan in terms of area after wheat and is being suffered by multiple shocks over the time due to conventional agricultural management practices, climate change, and market failures. Climate Smart Agriculture (CSA) was introduced by the Food and Agricultural Organization (FAO) in 2010, as an innovative cleaner production alternative to conventional farming that aimed at increasing the efficiency of natural resources, resilience, and productivity of agricultural production system, while reducing greenhouse gas emissions. The adverse effects of climate change on cotton production at the farm and regional level can be minimized by using CSA practices and technologies. The present study investigated the financial performance and explored the impact of CSA through sustainable water use management on cotton production in Lower Bari Doab Canal (LBDC) irrigation system of Punjab, Pakistan by using Cobb-Douglas production function. The adopters of CSA in cotton cultivation were identified by conducting six focus group discussions. Data were collected through well-structured questionnaire from 133 adopters of CSA and 65 conventional cotton growers for the cropping season 2016–2017. It was found that water-smart (raising crops on bed, laser land levelling, conjunctive use of water and drainage management), energy-smart (minimum tillage), carbon-smart (less use of chemicals) and knowledge-smart (crop rotation and improved varieties i.e., tolerant to drought, flood and heat/cold stresses) practices and technologies of CSA were adopted by the cotton farmers in the study area. Most of the farmers were of the view that they are adopting CSA practices and technologies due to the limited supply of canal water, climate change, drought-prone, massive groundwater extraction, rapidly declining groundwater table and increasing soil salinity over the time. Results revealed that uniform germination, higher yield and financial returns, the concentration of inputs and increase in resource use efficiency are the main advantages of CSA. The econometric analysis showed that implementation of CSA practices and technologies as judicious use of water and fertilizer, groundwater quality, access to extension services, and appropriate method and time of picking have a significant impact on the gross value of cotton product (GVP). The findings of the study would be helpful for policy makers to formulate policies that can minimize farmer’s financial burden to adopt CSA technologies and implement for scaling out in Punjab and beyond.

Description: Symmetry, Vol. 10, Pages 332: On the Distinguishing Number of Functigraphs Symmetry doi: 10.3390/sym10080332 Authors: Muhammad Fazil Muhammad Murtaza Zafar Ullah Usman Ali Imran Javaid Let G 1 and G 2 be disjoint copies of a graph G and g : V ( G 1 ) → V ( G 2 ) be a function. A functigraph F G consists of the vertex set V ( G 1 ) ∪ V ( G 2 ) and the edge set E ( G 1 ) ∪ E ( G 2 ) ∪ { u v : g ( u ) = v } . In this paper, we extend the study of distinguishing numbers of a graph to its functigraph. We discuss the behavior of distinguishing number in passing from G to F G and find its sharp lower and upper bounds. We also discuss the distinguishing number of functigraphs of complete graphs and join graphs.