An insight decipher on photocatalytic degradation of microplastics: Mechanism, limitations, and future outlook

Plastic material manufacturing and buildup over the past 50 years has significantly increased pollution levels. Microplastics (MPs) and non-biodegradable residual plastic films have become the two most pressing environmental issues among the numerous types of plastic pollution. These tiny plastic flakes enter water systems from a variety of sources, contaminating the water. Since MPs can be consumed by people and aquatic species and eventually make their way into the food chain, their presence in the environment poses a serious concern. Traditional technologies can remove MPs to some extent, but their functional groups, stable covalent bonds, and hydrophobic nature make them difficult to eliminate completely. The urgent need to develop a sustainable solution to the worldwide contamination caused by MPs has led to the exploration of various techniques. Advanced oxidation processes (AOPs) such as photo-catalytic oxidation, photo-degradation, and electrochemical oxidation have been investigated. Among these, photocatalysis stands out as the most promising method for degrading MPs. Photocatalysis is an environmentally friendly process that utilizes light energy to facilitate a chemical reaction, breaking down MPs into carbon dioxide and water-soluble hydrocarbons under aqueous conditions. In photocatalysis, semiconductors act as photocatalysts by absorbing energy from a light source, becoming excited, and generating reactive oxygen species (ROS). These ROS, including hydroxyl radicals (•OH) and superoxide ions ( [Formula: see text] ), play a crucial role in the degradation of MPs. This extensive review provides a detailed exploration of the mechanisms and processes underlying the photocatalytic removal of MPs, emphasizing its potential as an efficient and environmentally friendly approach to address the issue of plastic pollution.

Molecular drilling to combat salmonella typhi biofilm using L-Asparaginase via multiple targeting process

OBJECTIVES

Salmonella Typhibiofilm condition is showing as a major public health problem due to the development of antibiotic resistance and less available druggable target proteins. Therefore, we aimed to identify some more druggable targets of S. Typhibiofilm using computational drilling at the genome/proteome level so that the target shortage problem could be overcome and more antibiofilm agents could be designed in the future against the disease.

METHODS

We performed protein-protein docking and interaction analysis between the homological identified target proteins of S.Typhi biofilm and a therapeutic protein L-Asparaginase.

RESULTS

We have identified some druggable targets CsgD, BcsA, OmpR, CsgG, CsgE, and CsgF in S.Typhi. These targets showed high-binding affinity BcsA (-219.8 Kcal/mol) >csgF (-146.52 Kcal/mol) >ompR (-135.68 Kcal/mol) >CsgE (-134.66 Kcal/mol) >CsgG (-113.81 Kcal/mol) >CsgD(-95.39 Kcal/mol) with therapeutic enzyme L-Asparaginase through various hydrogen-bonds and salt-bridge. We found six proteins of S. Typhi biofilm from the Csg family as druggable multiple targets.

CONCLUSION

This study provides insight into the idea of identification of new druggable targets and their multiple targeting with L-Asparaginase to overcome target shortage in S. Typhibiofilm-mediated infections. Results further indicated that L-Asparaginase could potentially be utilized as an antibiofilm biotherapeutic agent against S.Typhi.

Interrogating Salmonella Typhi biofilm formation and dynamics to understand antimicrobial resistance

AIMS

Salmonella Typhi biofilm-mediated infections are globally rising. Due to the emergence of drug resistance antibiotics did not show effective results against S. Typhi biofilm. Therefore, there is an urgent need for an in-depth interrogation of S. Typhi biofilm to understand its formation kinetics, compositions, and surface charge value.

METHODS

This study utilized the S. Typhi MTCC-733 strain from a microbial-type culture collection in India. The S. Typhi biofilm was formed on a glass slide in a biofilm development apparatus. Typhoidal biofilm analysis was done with the help of various assays such as a crystal violet assay, SEM analysis, FTIR analysis, Raman analysis, and zeta potential analysis.

KEY FINDING

This article contained a comprehensive assessment of the typhoid biofilm formation kinetics, biofilm compositions, and surface charge which revealed that cellulose was a major molecule in the typhoidal biofilm which can be used as a major biofilm drug target against typhoidal biofilm.

SIGNIFICANCE

This study provided interrogations about typhoidal biofilm kinetics which provided ideas about the biofilm composition. The cellulose molecule showed a major component of S. Typhi biofilm and it could potentially involved in drug resistance, and offer a promising avenue for developing a new antibiofilm therapeutic target to conquer the big obstacle of drug resistance. The obtained information can be instrumental in designing novel therapeutic molecules in the future to combat typhoidal biofilm conditions effectively for overcoming antibiotic resistance against bacterial infection Salmonella.

Functional Outcome of Lower Limb Long Bone Trauma Management in Pregnant Mothers: A Prospective Study of 30 Cases From a Tertiary Care Centre in North India

INTRODUCTION

The occurrence of orthopedic injuries during pregnancy carries considerable morbidity and mortality for both the mother and fetus. Successful care of lower limb fractures during pregnancy requires a multidisciplinary approach. Both operative and non-operative treatments must be taken into account by the treating orthopedic physician. There is limited literature available on the management of these lower limb fractures in pregnancy, and peri-operative management of this obstetric and orthopedic trauma is largely unclear. Trauma during pregnancy is a common cause of non-obstetrical maternal death, having a significant public health burden to both the mother and child. The aims and objectives of this study were to review the common causes of lower limb long bone trauma during pregnancy and their functional outcome in terms of morbidity and mortality. This study evaluates various operative and conservative methods of treatment to provide a comprehensive management approach to pregnant patients with lower limb trauma.

MATERIALS AND METHODS

A prospective study on functional outcomes of 30 pregnant females who were admitted with lower limb long bone fractures from 2017 to 2021 was done. The patients were randomly selected intra-operatively for various procedures based on the surgeon's preference. All patients were followed for two years or till union occurred, and the radiographic union score for tibial (RUST) and modified radiographic union score for tibial (mRUST) fracture criteria were used to assess bony union clinico-radiologically.  Results: During this study, the mean age of patients was 27 years (range 19-38), having right-side (53.33%) predominance with road traffic accidents (n=22) and falls (n=6) as the most common causes of injury. Two cases of domestic violence were also reported. In our study, the maximum number of cases was 17-25 weeks of their gestation; 12 (40%) patients had tibial fractures, and 18 (60%) had femoral fractures. Six tibial fractures were handled conservatively, while all femoral fractures required surgical intervention. Out of 18 femoral fractures, which were treated surgically, dynamic compression plating was done in 15 (83.33%) patients, while interlock nailing was done in three patients. Six tibial fractures have been operated upon, two (66.66%) with dynamic compression plating and four (33.33%) with an interlocking nail.

CONCLUSION

A multidisciplinary approach in terms of both operative and non-operative methods must be taken into account for treating pregnant mothers by the orthopedic physician while carefully weighing the benefits and risks of both procedures. Based on the pattern and displacement of the fracture, many prenatal fractures can be treated conservatively. Another alternative that is frequently safe is to postpone the surgical procedure until childbirth. The physiologic changes associated with pregnancy and any potential dangers to the fetus must be taken into account by the orthopedic surgeon when fractures necessitate surgical intervention. The surgeon is responsible for the patient's correct placement, the C-arm's use, the radiation dose, and the intra-operative fetal monitoring, as well as the danger brought on by anesthetics, antibiotics, analgesics, and anticoagulants.

Deciphering Target Protein Cascade in Salmonella typhi Biofilm using Genomic Data Mining, and Protein-protein Interaction

Background

Salmonella typhi biofilm confers a serious public health issue for lengthy periods and the rise in antibiotic resistance and death rate. Biofilm generation has rendered even the most potent antibiotics ineffective in controlling the illness, and the S. typhi outbreak has turned into a fatal disease typhoid. S. typhi infection has also been connected to other deadly illnesses, such as a gall bladder cancer. The virulence of this disease is due to the interaction of numerous genes and proteins of S. typhi.

Objective

The study aimed to identify a cascade of target proteins in S. typhi biofilm condition with the help of genomic data mining and protein-protein interaction analysis.

Methods

The goal of this study was to notice some important pharmacological targets in S. typhi. using genomic data mining, and protein-protein interaction approaches were used so that new drugs could be developed to combat the disease.

Results

In this study, we identified 15 potential target proteins that are critical for S. typhi biofilm growth and maturation. Three proteins, CsgD, AdrA, and BcsA, were deciphered with their significant role in the synthesis of cellulose, a critical component of biofilm's extracellular matrix. The CsgD protein was also shown to have high interconnectedness and strong interactions with other important target proteins of S. typhi. As a result, it has been concluded that CsgD is involved in a range of activities, including cellulose synthesis, bacterial pathogenicity, quorum sensing, and bacterial virulence.

Conclusion

All identified targets in this study possess hydrophobic properties, and their cellular localization offered proof of a potent therapeutic target. Overall results of this study, drug target shortage in S. typhi is also spotlighted, and we believe that obtained result could be useful for the design and development of some potent anti-salmonella agents for typhoid fever in the future.

Doped graphitic carbon nitride (g-C3N4) catalysts for efficient photodegradation of tetracycline antibiotics in aquatic environments

Tetracyclines (TCs) antibiotics are very common and often used in both human and veterinary medicines. More than 75% of TCs are excreted in an active condition and released into the environment, posing a risk to the ecosystem and human health. Residual antibiotics are in global water bodies, causing antibiotic resistance and genotoxicity in humans and aquatic organisms. The ever-increasing number of multi-resistant bacteria caused by the widespread use of antibiotics in the environment has sparked a renewed interest in developing more sustainable antibiotic degradation processes. In this regard, photodegradation technique provides a promising solution to resolve this growing issue, paving the way for complete antibiotic degradation with the generation of non-toxic by-products. As a fascinating activity towards visible light range shown by semiconductor, graphitic carbon nitride (g-C₃N₄) has a medium bandgap, non-toxicity, chemically stable complex, and thermally great strength. Recent studies have concentrated on the performance of g-C₃N₄ as a photocatalyst for treating wastewater. Pure g-C₃N₄ exhibits limited photocatalytic activity due to insufficient sunlight usage, small surface area, and a high rate of recombination of electron and hole ([Formula: see text] & [Formula: see text]) pairs created in photocatalytic activity. Doping of g-C₃N₄ is a very effective method for improving the activity as element doped g-C₃N₄ shows excellent bandgap and electronic structure. Doping significantly broadens the light-responsive range and reduces recombination of e^- & h⁺ pairs. Under above context, this review provides a systematic and comprehensive outlook of designing doped g-C₃N₄ as well as efficiency for TCs degradation in aquatic environment.

Noble metal-free doped graphitic carbon nitride (g-C3N4) for efficient photodegradation of antibiotics: progress, limitations, and future directions

Graphitic carbon nitride (g-C₃N₄) is well recognised as one of the most promising materials for photocatalytic activities such as environmental remediation via organic pollution elimination. New methods of nanoscale structure design introduce tunable electrical characteristics and broaden their use as visible light-induced photocatalysts. This paper summarises the most recent developments in the design of g-C₃N₄ with element doping. Various methods of introducing metal and nonmetal elements into g-C₃N₄ have been investigated in order to simultaneously tune the material's textural and electronic properties to improve its response to the entire visible light range, facilitate charge separation, and extend charge carrier lifetime. The degradation of antibiotics is one of the application domains of such doped g-C₃N₄. We expect that this research will provide fresh insights into clear design methods for efficient photocatalysts that will solve environmental challenges in a sustainable manner. Finally, the problems and potential associated with g-C₃N₄-based nanomaterials are discussed. This review is expected to encourage the ongoing development of g-C₃N₄-based materials for greater efficiency in photocatalytic antibiotic degradation.

Drying characteristics of thin layer of potato (Solanum tuberosum): experimental and computational studies

Solar drying is a renewable energy-based technique which is widely used for food preservation purpose. In this study, various drying characteristics of the solar-dried Solanum tuberosum samples of different thicknesses have been investigated at variable climate condition of Lucknow. A mathematical model has also been developed to validate experimental results to predict the drying rate, free moisture content, and other parameters. Pre-treatment of the food samples was also done before the experimental runs on the fabricated solar dryer. Global radiation has also been monitored during the study to correlate the heat transfer rate in inner and outer sides of the solar drying chamber. SEM analysis has also been done to analyze the surface morphology of solar-dried samples. All solar dried food samples have uniformly heated. There was no hot-spot condition present on the surface of the samples. The drying efficiency and payback period of the fabricated solar dryer have also been calculated as 22.9% and 1.42 years, respectively. Model data have been found in good agreement with the experimental data within a 5% error. This modified model can be used for different agro-based food materials such as carrot, kiwifruit, and yam.

Resistance-proof antimicrobial drug discovery to combat global antimicrobial resistance threat

Drug resistance is well-defined as a serious problem in our living world. To survive, microbes develop defense strategies against antimicrobial drugs. Drugs exhibit less or no effective results against microbes after the emergence of resistance because they are unable to cross the microbial membrane, in order to alter enzymatic systems, and/or upregulate efflux pumps, etc. Drug resistance issues can be addressed effectively if a "Resistance-Proof" or "Resistance-Resistant" antimicrobial agent is developed. This article discusses first the need for resistance-proof drugs, the imminent properties of resistance-proof drugs, current and future research progress in the discovery of resistance-proof antimicrobials, the inherent challenges, and opportunities. A molecule having imminent resistance-proof properties could target microbes efficiently, increase potency, and rule out the possibility of early resistance. This review triggers the scientific community to think about how an upsurge in drug resistance can be averted and emphasizes the discussion on the development of next-generation antimicrobials that will provide a novel effective solution to combat the global problem of drug resistance. Hence, resistance-proof drug development is not just a requirement but rather a compulsion in the drug discovery field so that resistance can be battled effectively. We discuss several properties of resistance-proof drugs which could initiate new ways of thinking about next-generation antimicrobials to resolve the drug resistance problem. This article sheds light on the issues of drug resistance and discusses solutions in terms of the resistance-proof properties of a molecule. In summary, the article is a foundation to break new ground in the development of resistance-proof therapeutics in the field of infection biology.

Mathematical Analysis of a COVID-19 Epidemic Model by Using Data Driven Epidemiological Parameters of Diseases Spread in India

This paper attempts to describe the outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (COVID-19) via an epidemic model. This virus has dissimilar effects in different countries. The number of new active coronavirus cases is increasing gradually across the globe. India is now in the second stage of COVID-19 spreading, it will be an epidemic very quickly if proper protection is not undertaken based on the database of the transmission of the disease. This paper is using the current data of COVID-19 for the mathematical modeling and its dynamical analysis. We bring in a new representation to appraise and manage the outbreak of infectious disease COVID-19 through SEQIR pandemic model, which is based on the supposition that the infected but undetected by testing individuals are send to quarantine during the incubation period. During the incubation period if any individual be infected by COVID-19, then that confirmed infected individuals are isolated and the necessary treatments are arranged so that they cannot taint the other residents in the community. Dynamics of the SEQIR model is presented by basic reproduction number R ₀ and the comprehensive stability analysis. Numerical results are depicted through apt graphical appearances using the data of five states and India.

Mathematical Analysis of a COVID-19 Epidemic Model by Using Data Driven Epidemiological Parameters of Diseases Spread in India

This paper attempts to describe the outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (COVID-19) via an epidemic model. This virus has dissimilar effects in different countries. The number of new active coronavirus cases is increasing gradually across the globe. India is now in the second stage of COVID-19 spreading, it will be an epidemic very quickly if proper protection is not undertaken based on the database of the transmission of the disease. This paper is using the current data of COVID-19 for the mathematical modeling and its dynamical analysis. We bring in a new representation to appraise and manage the outbreak of infectious disease COVID-19 through SEQIR pandemic model, which is based on the supposition that the infected but undetected by testing individuals are send to quarantine during the incubation period. During the incubation period if any individual be infected by COVID-19, then that confirmed infected individuals are isolated and the necessary treatments are arranged so that they cannot taint the other residents in the community. Dynamics of the SEQIR model is presented by basic reproduction number R 0 and the comprehensive stability analysis. Numerical results are depicted through apt graphical appearances using the data of five states and India.

Spin-state transition of Co ion (S2S5/2) in hole substituted 1D chain of Ca3Co2O6

We have discovered spin-state transition (S= 2 toS= 5/2) of Co ions due to Mg substitution in the Ca₃Co₂O₆apparent in the magnetic susceptibility, x-ray photoelectron spectroscopy (XPS), and first-principles study. We also examine the effect of Mg substitution on the magnetic and electronic structure of Ca₃Co₂O₆by first-principles calculations. It involves generalized gradient approximation with Coulomb interaction (U) in exchange-correlation energy functional. Our study shows a reasonable agreement between effective magnetic moment (μ_eff) determined from the Curie-Weiss fit with that from the XPS analysis and first-principles calculations study. We have attributed the decrease in positive intra-chain exchange interaction constant (J₁/k_B) to the antiferromagnetically coupled induced Co⁴⁺ions (S= 5/2) arising from the Mg²⁺ions substitution. The in-field metamagnetic transitions in the isothermalM(H) curves below the critical field (H_c) have been accurately mapped and successfully explained by the change in magnetic entropy (ΔS) calculations and Arrott plots. Electronic structure study reveals hole-type doping of Mg atom, and the Fermi level (E_F) shifts below. Density of state and band structure calculation indicates strong hybridization between partial states of Co-3d and O-2p orbitals for the Mg-doped compound due to which the band crossing at Fermi level is observed, and a hole-type Fermi surface is formed.

Functional Outcome of Monorail Fixator as a Primary and Definitive Mode of Fixation in Open Fractures of Tibia- An Interventional Study

Introduction: Open fractures of the tibia are associated with massive soft tissue injury and bone loss with high rates of infection and non union resulting in poor treatment outcome. The treatment goals include prevention of infection, soft tissue coverage, and fracture stabilisation with simultaneous mobilisation of nearby joints, enabling early return to function. The management in open fractures continues to be a topic of debate in orthopaedic traumatology with various treatment options, having their own set of complications. Aim: To assess the functional outcome of open tibial fractures with a monorail fixator using Radiographic Union Scale in Tibial fracture (RUST) score and modified Johner and Wruh’s criteria. Materials and Methods: This prospective interventional study of 30 cases was conducted from November 2018-October 2020 in Government Medical College, Patiala, Punjab, India. The patients of open tibial fractures of type 2, type 3A, 3B (male=27, female=3) as classified by Gustilo-Anderson were included in this study. Patients were operated for monorail system to assess the stability of monorail fixator, total time taken in fracture union and compliance with range of motion of joints. On follow-up patients were also assessed for pin track infection and postoperative surgical site infection by taking swab for culture and antibiotic sensitivity. Statistical analysis was performed using the statistical software Statistical Package for the Social Sciences (SPSS) 25.0 (SPSS 25.0). In this study, quantitative data was expressed as mean values with Standard Deviation (SD) and categorical data were expressed as frequencies with percentages. Results: Present study had shown excellent to good results in 27 cases (90%) with minimum surgery time of 52.17±14.24 minutes. Full weight bearing with fixator was allowed in 5.37 days and fracture union occurred at 31.8±5.8 weeks. RUST score of 2 was seen in 33.33% and score 3 in 63.33% of patients respectively. Only one patient (3.33%) had shown score 1, which was treated with removal of fixator, debridement, sequestrectromy and fracture fixation with ring fixator and bone grafting. The bacteriology positivity was seen in six cases (n=2 was positive for Escherichia coli and n=4 was positive for Staphylococcus aureus). Conclusion: Present study demonstrated the benefits of monorail fixator as a primary and definitive mode of fixation in open tibial fractures with early full weight bearing over a stable construct and minimal complications.

1534 A rare operation: resection of a complex malignant peripheral nerve sheath tumour deemed inoperable by a national centre

We present this rare case which was led by spinal surgeons at Leeds after being deemed not suitable for operative input by a national centre.

A 54-year-old lady who presented with 2-month history of worsening left flank pain on a background of four years. She was otherwise fit and well. CT confirmed aggressive left-sided paraspinal tumour with epidural encroachment, extending from T8 to T10 vertebral levels. Its deep surface was well-defined and extending superficially through the chest wall with destruction of ribs. The mass grew in size in course of days requiring urgent attention due to risk of cord compression. Biopsy proved high grade MPNST.

Malignant peripheral nerve sheath tumor (MPNST) is a rare type of sarcoma, 5-10% of sarcoma cases. MPNST is most common in young adults and middle-aged adults. About 25% to 50% of people with MPNST have NF1. 8% to 13% of people with NF1 will get MPNST in their lifetime.

An MDT approach involving spinal, thoracic, vascular and plastic surgeons opined it requiring extensive surgery due to its complexity. It was performed in stages – embolisation then aortic stent placement followed by final resection of the tumour with chest well reconstruction using an LD flap.

A multidisciplinary and multispecialty approach has led to a positive prognosis for this patient who is on the road to recovery.

Kinetics study on reactive extraction of formic acid using tri-n-octyl amine diluted in n-butyl acetate

Formic acid is the simplest yet commercially valuable organic acid. It is widely used as a stabilizer and sterile agent in food industries. Reactive extraction is highly effective and selective technique for the recovery of formic acid from dilute solutions. Kinetics study provide rate controlling step (reaction rate or diffusion) that is required to visualize the intrinsic reactive extraction mechanism. Kinetics study of formic acid (0.1–0.4 kmol/m3) extraction with tri-n-octyl amine (TOA) (0.11–0.67 kmol/m3) in n-butyl acetate (NBA) was investigated at temperature 308 ± 1 K. Kinetics study was carried out in a Lewis cell. Effect of formic acid concentration, TOA concentration, speed of stirring, and phase volume ratio were investigated to find the reaction regime. Diffusivity coefficient (DA) of formic acid in NBA was found 3.20 × 10−7 m2/s. Reaction rate constant was evaluated to be 0.616 m3/mol s. The physical mass transfer coefficient (kL) was evaluated to be 0.8278 × 10−6 × N 3.387. The reaction was independent on hydrodynamic parameters and falls under fast reaction regime. The reaction was found first order with respect to both formic acid as well as TOA, occurring in the diffusion film. The findings of the present work are helpful in the selection of commercially viable extraction system and in the design of extractors.

Hydrogen peroxide assisted electrocoagulation treatment of rice gain based biodigester effluent: mechanism, performance, and cost analysis

In the current scenario treatment of industrial waste water is big challenge especially waste water that contain high organic load. Hydrogen peroxide assisted electrocoagulation (EC) process provides better result to treat highly polluted wastewater as compared to EC alone. However, hydrogen peroxide is well known as a strong oxidant, which cast a potential threat to human health. To overcome this problem hydrogen peroxide has been used here for treatment of wastewater in small quantity, and that consume during the process. Therefore the harmful effect of hydrogen peroxide in human and aquatic life could be minimized. This work is an attempt to treat biodigester effluent (BDE) using H2O2 assisted EC processes with respect to chemical oxygen demand (COD) and color reductions. To perform this experiment both iron and aluminum electrodes are used as an electrode material in the presence of H2O2. In case of iron electrode the maximum COD and color reduction efficiency of 98.3 and 83.6% was achieved at the cost of 1.5 Wh/dm3 energy consumption while maximum COD and color removal efficiency of 96.8 and 77.1% with 1.7 Wh/dm3 of energy consumption was observed in the aluminum electrode based EC process. A part from this conventional biological process (i.e., activated sludge treatment, ponds, and lagoon etc.) and physiochemical treatment process (i.e., coagulation, adsorption) provided treatment efficiency of 40–80% hence hydrogen peroxide assisted EC process should a better choice to treat distillery effluent. Furthermore, hybrid EC process was also performed with iron used as anode and aluminum as cathode in the presence of H2O2. Iron electrode based peroxi-EC process provided better result at optimum operating conditions; current density of 114 A/m2, initial COD concentration of 12,000 mg/dm3, initial pH of 7.3, H2O2 concentration of 120 mg/dm3, stirring speed of 120 rpm and electrolysis time of 90 min. The cost estimated for operation is 1.56 US $/m3. Finally, sludge analysis and cost optimization are also incorporated in this article.

Equilibrium & kinetic studies of reactive extraction of trans-aconitic acid using sunflower oil with tri-n-octylamine

In order to design an efficient extraction system for the separation of biochemically produced trans-aconitic acid (TAH) from fermentation broth; equilibrium and kinetics of reactive extraction of TAH from aqueous solutions was investigated using tri-n-octylamine (TOA) as an extractant and sunflower oil as a diluent. Through the equilibrium studies stoichiometry (acid, extractant) of complex formations was determined with the help of loading ratio. Formation of (1, 1), (2, 1), & (3, 1) stoichiometry complexes were observed having complexation constants values 179.73 kmol−1 m3, 9512.58 kmol−2 m6, and 614,407.02 kmol−3 m9, respectively. Kinetics experiments were performed in Lewis type stirred cell and results confirmed that reaction between TAH and TOA in sunflower oil fall in regime 1, i.e. slow reaction occurring in bulk organic phase. The overall order of reaction is pseudo first order with rate constant (K mn ) 1.78 × 10−5 (kmol m−3)−0.71 s−1 and physical mass transfer coefficient (K l ) 4.22 × 10−5 m s−1.

Design and Simulation of Extended Interaction Cavities for a Ka band Multi beam Klystron

This article reports about the design approach, electromagnetic simulation and analysis results of high-frequency ladder-type input, output, and intermediate RF cavaties for Ka-band multi-beam extended interaction klystron. Several parameters of the cavity, such as quality factor, shunt impedance, etc., have been investigated by the assistance of electromagnetic software CST microwave studio.

Separation of bio-products by liquid–liquid extraction

Solvent extraction one of the oldest approaches of separation known, remains one of the most well-known methods operating on an industrial scale. With the availability of variety of solvents as well as commercial equipment, liquid–liquid extractions finds applications in fields like chemicals and bio-products, food, polymer, pharmaceutical industry etc. Liquid–liquid extraction process is particularly suitable for biorefinery process (through conversion using microorganisms), featuring mild operational conditions and ease of control of process. The principles, types, equipment and applications of liquid–liquid extraction for bioproducts are discussed. Currently various intensification techniques are being applied in the field of liquid–liquid extraction for improving the process efficiency like hybrid processes, reactive extraction, use of ionic liquids etc, which are gaining importance due to the cost associated with the downstream processing of the fermentation products (20–50% of total production cost).

Spin induced exchange bias and lattice modulation in Nd1-x Eu x CrO3

We report the evolution of coupled phonons and exchange bias (EB) in perovskite-type Nd1-x Eu x CrO3 (x = 0.0, 0.05, and 0.10) samples by means of temperature-dependent Raman spectroscopy and dc magnetization measurements. We observed a non-monotonic behavior of the EB field around the temperature T *, which lies between the antiferromagnetic ordering temperature (T N) and spin-reorientation transition temperature (T SR). The temperature dependence of phonon modes related to antistretching and bending of CrO6 octahedra and Nd3+/Eu3+ ion vibration below T N confirms the strong spin-phonon coupling. The T * found from the non-monotonicity of the EB is imprinted with the additional anomaly observed in the low-temperature spin-phonon behavior. The phonon modes and phonon anomaly are also verified using the density functional theory-based calculations.

Adapting Policy Guidelines for Spine Surgeries During COVID-19 Pandemic in View of Evolving Evidences: An Early Experience From a Tertiary Care Teaching Hospital

Introduction The recent novel coronavirus disease 2019 (COVID-19) pandemic has brought the world to a standstill. This outbreak not only affected healthcare systems but the resultant economic losses were also enormous. COVID-19 has demanded that the health care systems globally evolve, develop new strategies, identify new models of functioning, and at times, fall back on the old conservative methods of orthopedic care to decrease the risk of disease transmission. Although, the majority of hospitals are refraining from performing elective surgeries, emergent and urgent procedures cannot be delayed. Various strategies have been developed at the institute level to reduce the risk of infection transmission among the theatre team from an unsuspected patient (asymptomatic and presymptomatic) during the perioperative period. Material and methods The present study is a part of an ongoing project which is being conducted in a tertiary level hospital after obtaining research review board approval. All patients admitted either for vertebral fracture or spinal cord compression from February 2020 to May 2020 were included. The present study included 13 patients (nine males and four females) with an average age of 35.4 years The oldest patient was of 63 years which is considered a risk factor for developing severe COVID-19 infection.  Results Eight patients (61.5%) presented with spinal cord injury (SCI) due to vertebral fracture with fall from height (87.5%) as the most common etiology. Among the traumatic SCI patients, six (75%) were managed surgically with posterior decompression and instrumented fusion with pedicle screws while two patients (25%) were managed conservatively. There were four patients (30.8%) of tuberculosis of the spine of whom two (50%) were managed with posterior decompression, debridement, and stabilization with pedicle screws, samples for culture, biopsy, and cartridge-based nucleic acid amplification test (CBNAAT) were collected during the procedure; for the remaining two patients (50%), a trans-pedicular biopsy was performed to confirm the diagnosis for initiation of anti-tubercular therapy. Prolapsed intervertebral disc causing cauda equina syndrome was the reason for emergency surgery in one patient (7.7%). COVID-19 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcription-polymerase chain reaction (RT-PCR) test was performed in four patients (30.8%), in whom the most common symptom was fever (two patients (50%)). These patients were residents of high prevalence area for COVID-19 infection. Sore throat (25%), fatigue (25%), and low oxygen saturation (25%) were present in one patient which prompted us to get the COVID-19 test. All patients were reported negative for COVID-19. Conclusion The structural organization and the management protocol we describe allowed us to reduce infection risk and ultimately hospital stay, thereby maximizing the already stretched available medical resources. These precautions helped us to reduce transmission and exposure to COVID-19 in health care workers (HCW) and patients in our institute. The aim of this article is that our early experience can be of value to the medical communities that will soon be in a similar situation.

Thoracic Pedicle Morphometry of Dry Vertebral Columns in Relation to Trans-Pedicular Fixation: A Cross-Sectional Study From Central India

Introduction

Trans-pedicular screw fixation is one of the main modalities of spinal instrumentation today. It is particularly challenging in the thoracic spine due to the narrow pedicle dimensions especially in the upper and mid-thoracic levels. We aimed to study the anatomical variations like pedicle dimensions and angulation in transverse and sagittal planes.

Material and methods

We conducted an anatomical investigation on 20 dry vertebral columns (14 male and six female), from T1 to T12 levels. The measurements included pedicle width, height, and transverse and sagittal angles of the pedicle. Numerical variables were summarized using mean and standard deviation.

Results

T12 vertebra was found to have the widest pedicle width (mean 7.89 ± 0.70 mm) and the widest pedicle height (mean 15.45±0.78 mm) while T5 vertebra (mean 3.65±0.40 mm) had the narrowest pedicle width. T1 vertebra had the maximum transverse angle of the pedicle (mean 30.37±2.56 degree); whereas, T2 vertebra had the maximum sagittal angle (mean 19.22±2.24 degree).

Conclusion

We have reported detailed pedicle measurements including their angulation for the thoracic spine in dry vertebral columns of central India. The pedicles are directed more medially from T1 to T10 levels and are almost neutral at T11 and T12 levels. These findings would not only be of immense help to the spinal surgeons but also help in designing implants and instrumentations specific for the thoracic spine for the central Indian population as well as aiding surgeons to perform more precise and, therefore, safe surgical procedures.

Investigation of emission characteristics of NMVOCs over urban site of western India

This is the first study to characterize the variation and emission of C₂-C₅ non-methane volatile organic compounds (NMVOCs) in a semi-urban site of western India based on measurements during February-December 2015. Anthropogenic NMVOCs show clear seasonal dependence with highest in winter and lowest in monsoon season. Biogenic NMVOCs likes isoprene show highest mixing ratios in the pre-monsoon season. The diurnal variation of NMVOC species can be described by elevated values from night till morning and lower values in the afternoon hours. The elevated levels of NMVOCs during night and early morning hours were caused mainly by weaker winds, temperature inversion and reduced chemical loss. The correlations between NMVOCs, CO and NOx indicate the dominant role of various local emission sources. Use and leakage of liquefied petroleum gas (LPG) contributed to the elevated levels of propane and butanes. Mixing ratios of ethylene, propylene, CO, NOx, etc. show predominant emissions from combustion of fuels in automobiles and industries. The Positive Matrix Factorization (PMF) source apportionments were performed for the seven major emission sectors (i.e. Vehicular exhaust, Mixed industrial emissions, Biomass/Fired brick kilns/Bio-fuel, Petrochem, LPG, Gas evaporation, Biogenic). Emissions from vehicle exhaust and industry-related sources contributed to about 19% and 40% of the NMVOCs, respectively. And the rest (41%) was attributed to the emissions from biogenic sources, LPG, gasoline evaporation and biomass burning. Diurnal and seasonal variations of NMVOCs were controlled by local emissions, meteorology, OH concentrations, long-range transport and planetary boundary layer height. This study provides a good reference for framing environmental policies to improve the air quality in western region of India.

Beam Energy and Centrality Dependence of Direct-Photon Emission from Ultrarelativistic Heavy-Ion Collisions

The PHENIX collaboration presents first measurements of low-momentum (0.4<p_{T}<3  GeV/c) direct-photon yields from Au+Au collisions at sqrt[s_{NN}]=39 and 62.4 GeV. For both beam energies the direct-photon yields are substantially enhanced with respect to expectations from prompt processes, similar to the yields observed in Au+Au collisions at sqrt[s_{NN}]=200. Analyzing the photon yield as a function of the experimental observable dN_{ch}/dη reveals that the low-momentum (>1  GeV/c) direct-photon yield dN_{γ}^{dir}/dη is a smooth function of dN_{ch}/dη and can be well described as proportional to (dN_{ch}/dη)^{α} with α≈1.25. This scaling behavior holds for a wide range of beam energies at the Relativistic Heavy Ion Collider and the Large Hadron Collider, for centrality selected samples, as well as for different A+A collision systems. At a given beam energy, the scaling also holds for high p_{T} (>5  GeV/c), but when results from different collision energies are compared, an additional sqrt[s_{NN}]-dependent multiplicative factor is needed to describe the integrated-direct-photon yield.

Predicting gas phase entropy of select hydrocarbon classes through specific information-theoretical molecular descriptors

The usefulness of five specific information-theoretical molecular descriptors was investigated for predicting the gas phase entropy of selected classes of acyclic and cyclic compounds. Among them, total information on atomic number (TI^Z), graph vertex complexity (H^V) and total information on bonds (TIB^AT), considered together showed the best correlation along with a low standard deviation (r² = 0.97, s = 21.14) with gas phase entropy values of 130 compounds. The multiple regression equation treating these three indices as independent variables was statistically highly significant which was evident from the F-statistics. In particular, very small difference between r² and r²-pred values indicates that the regression model is not overfitted and is, therefore, suitable for prediction purposes. When truly used as a training set to predict (from regression equation) 40 additional compounds we get a very high correlation (r² = 0.975), which remains almost identical (r² = 0.97) for the combined data set of 170 compounds. The three indices appear to be useful descriptors producing correlation that remains stable with the change in the size of the data set. Also, the information-theoretical measures appear to capture an additive-cum-constitutive nature of gas phase entropy yielding an acceptable statistical fit.

P76 Skip laminectomy versus cervical laminectomy, an analysis of patient reported outcomes, spinal alignment and re-operation rates: the leeds spinal unit experience (2008–2016)

Objectives

To compare clinical, radiological and complication results between skip laminectomy and cervical laminectomy for posterior cervical decompression for cervical spondylotic myelopathy.

Design

Retrospective single institution cohort study.

Subjects

Subjects underwent primary skip or cervical laminectomy between 2008–2016.

Methods

Statistical analysis compared pre- and post-operative differences in Visual Analogue Scale, Neck Disability Index and radiological differences in sagittal alignment of the vertebral bodies. Analysis of re-operation rates was performed.

Results

A total of 42 and 29 patients had skip and cervical laminectomy respectively. Median follow up was 32±23.1 (Range: 1–325) weeks. Post-operatively there was no difference in patient reported outcomes namely Visual Analogue Scale and Neck Disability Index between skip laminectomy and cervical laminectomy groups compared to pre-operatively (p=0.64, p=0.75). No difference was seen in sagittal alignment between both groups following surgery (p=0.65). Three patients (7.1%) in the skip laminectomy group and two patients (6.9%) in the cervical laminectomy group required revision surgery to the cervical spinal region at a different level to the original surgery. No patients needed further instrumentation.

Conclusions

Both skip laminectomy and cervical laminectomy appear to deliver similar outcomes with regards to patient reported outcomes, preserving sagittal alignment and re-operation rates over this short follow-up period.

Preparation and characterization of CuO catalyst for the thermolysis treatment of distillery wastewater

CuO catalyst was prepared from copper sulfate by alkali precipitation method followed by drying and calcination. Characterization of CuO catalyst using X-ray diffraction, Brunauer-Emmett-Teller, and Barrett-Joyner-Halenda surface area analysis envisaged the effectiveness of CuO as a catalyst for the treatment of biodigester effluent (BDE) emanated from distilleries. The catalytic thermolysis is an efficient advance treatment method for distillery biodigester effluent (BDE). CT treatment of BDE was carried out in a 0.5 dm³ thermolytic batch reactor using CuO as a catalyst at different pH (1-9), temperatures (80-110°C), and catalyst loadings (1-4 kg/m³). With CuO catalyst, a temperature of 110°C, catalyst loading of 4 kg/m³, and pH of 2 was found to be optimal, providing a maximum reduction in chemical oxygen demand of 65%. The settling characteristics at different temperatures of CT-treated sludge were also presented.

Abundant and equipotent founder cells establish and maintain acute lymphoblastic leukaemia

High frequencies of blasts in primary acute lymphoblastic leukaemia (ALL) samples have the potential to induce leukaemia and to engraft mice. However, it is unclear how individual ALL cells each contribute to drive leukaemic development in a bulk transplant and the extent to which these blasts vary functionally. We used cellular barcoding as a fate mapping tool to track primograft ALL blasts in vivo. Our results show that high numbers of ALL founder cells contribute at similar frequencies to leukaemic propagation over serial transplants, without any clear evidence of clonal succession. These founder cells also exhibit equal capacity to home and engraft to different organs, although stochastic processes may alter the composition in restrictive niches. Our findings enhance the stochastic stem cell model of ALL by demonstrating equal functional abilities of singular ALL blasts and show that successful treatment strategies must eradicate the entire leukaemic cell population.

Parameter uncertainty in biomathematical model described by one-prey two-predator system with mutualism

In this paper, a three-species system consisting of two predators which are in mutualism with each other and preying on the same single prey is considered. Also, the prey and first predator are harvested under optimal conditions. The values of the biological parameters depend on the collection of data from the experts as well as on the nature of the environment in which prey–predator system are considered. So the biological parameters are not precise in reality. This paper presents a different approach to study the prey–predator model with imprecise biological parameters. All the possible equilibrium points are identified and the local as well as global stability criteria under impreciseness are discussed. The possibility of existence of bionomic equilibrium is discussed. The optimal harvesting policy is studied using Pontryagin’s maximum principle. Numerical examples are provided to support the proposed approach.

Eucalyptol, sabinene and cinnamaldehyde: potent inhibitors of salmonella target protein L-asparaginase

Salmonella typhimurium is a severe threat to human life. The treatment became more difficult with the emergence of multidrug resistance. In the present in silico study, a novel drug target L-asparaginase was tested against three ligands eucalyptol, sabinene, and cinnamaldehyde, major components of cardamom, nutmeg, and cinnamon, respectively. The lowest docking score was obtained for sabinene followed by eucalyptol and cinnamaldehyde i.e. -5.648, -3.939 and -3.469. The docking score of sabinene is also better than the standard drug, Ciprofloxacin (-4.661) and natural substrate L-asparagine (-5.497). The amino acid residues involved in interactions inside the binding pocket are threonine 115 and threonine 35. The ADMET profile studied, also suggests the potency of the test ligands as a drug candidate. The results suggest they could be safe alternatives of chemical compounds to treat infections and combat multidrug-resistant bacteria.

Recovery of copper from synthetic solution by efficient technology: Membrane separation with response surface methodology

Heavy metals are toxic in nature as declared by theWorld Health Organisation. Excess concentration of heavy metals causes harmful affect andalters the physicochemical characteristics of surrounding environmental parameters. Copper is an important heavy metal present in the aquaticenvironment, including wide industrial applications, and is an essential factor in animal metabolism. To recover and reduce copper concentrationfrom aqueous medium an attempted has been made with membrane technology. In this research work ultra filtration, nano filtration and reserveosmosis have been used. At optimum conditions 4.49 g/L initial concentration, 0.72 m3/h inlet flow rate, 40 bar working pressure were obtainedfor maximum recovery (40.977 g/min) of copper at pH 6.8 with reverse osmosis. To achieve this, 27 experimental runs were developed accordingto central composite design and analysed. The value of R2 > 0.91 for the obtained quadratic model indicates the high correlation between observedor the experimental value of response and response value predicted by the mathematical model. This implies that the experimental data correlatedvery well with the quadratic model chosen for the analysis.

Study of the sign change of exchange bias across the spin reorientation transition in Co(Cr1-x Fe x )2O4 (x = 0.00-0.125)

We present the evolution of novel phenomena of magnetic compensation effect, exchange bias (EB) effect and the field induced anomalies in '[Formula: see text]' substituted multiferroic compound [Formula: see text]. A few percent of '[Formula: see text]' substitution for '[Formula: see text]' in [Formula: see text] results in the reversal of field cooled magnetization under low applied fields below compensation temperature T _comp. Further, increase in the field leads to the spin reorientation transition (T _SR). Signature of EB in a narrow temperature window in the vicinity of T _SR and its sign change across T _SR is observed. Magnitude of EB depends on the amount of compensation and rigidity of the spin reorientation. We also notice the appearance of positive EB below the lock-in transition (T _L). Presence of unidirectional anisotropy developed in the commensurate spin-spiral below T _L could be responsible for the appearance of EB below T _L.

Putative Drug and Vaccine Target Identification in Leishmania donovani Membrane Proteins Using Naïve Bayes Probabilistic Classifier

Predicting the role of protein is one of the most challenging problems. There are few approaches available for the prediction of role of unknown protein in terms of drug target or vaccine candidate. We propose here Naïve Bayes probabilistic classifier, a promising method for reliable predictions. This method is tested on the proteins identified in our mass spectrometry based membrane protemics study of Leishmania donovani parasite that causes a fatal disease (Visceral Leishmaniasis) in humans all around the world. Most of the vaccine/drug targets belonging to membrane proteins are represented as key players in the pathogenesis of Leishmania infection. Analyses of our previous results, using Naïve Bayes probabilistic classifier, indicate that this method predicts the role of unknown/hypothetical protein (as drug target/vaccine candidate) significantly with higher precision. We have employed this method in order to provide probabilistic predictions of unknown/hypothetical proteins as targets. This study reports the unknown/hypothetical proteins of Leishmania membrane fraction as a potential drug targets and vaccine candidate which is vital information for this parasite. Future molecular studies and characterization of these potent targets may produce a recombinant therapeutic/prophylactic tool against Visceral Leishmaniasis. These unknown/hypothetical proteins may open a vast research field to be exploited for novel treatment strategies.

Stability and Bionomic Analysis of Fuzzy Prey-Predator Harvesting Model in Presence of Toxicity: A Dynamic Approach

This paper deals with a prey-predator model in which both the species are infected by some toxicants which are released by some other species or source with fuzzy biological parameters. The application of fuzzy differential equation in the modeling of prey-predator populations with the effect of toxicants is presented. The dynamical behavior and harvesting of the fuzzy exploited system are studied by using the utility function method. Sufficient conditions for the local stability of the positive equilibrium are obtained by analyzing the characteristic equation. Furthermore, the possibility of the existence of bionomic equilibrium is studied under imprecise biological parameters. The study of the presence of toxic substance and harvesting in the modeling system can have significant impact on the existence of both the species, which is in line with reality. Numerical simulation results are presented to validate the theoretical analysis.

Long-term in vitro maintenance of clonal abundance and leukaemia-initiating potential in acute lymphoblastic leukaemia

Lack of suitable in vitro culture conditions for primary acute lymphoblastic leukaemia (ALL) cells severely impairs their experimental accessibility and the testing of new drugs on cell material reflecting clonal heterogeneity in patients. We show that Nestin-positive human mesenchymal stem cells (MSCs) support expansion of a range of biologically and clinically distinct patient-derived ALL samples. Adherent ALL cells showed an increased accumulation in the S phase of the cell cycle and diminished apoptosis when compared with cells in the suspension fraction. Moreover, surface expression of adhesion molecules CD34, CDH2 and CD10 increased several fold. Approximately 20% of the ALL cells were in G0 phase of the cell cycle, suggesting that MSCs may support quiescent ALL cells. Cellular barcoding demonstrated long-term preservation of clonal abundance. Expansion of ALL cells for >3 months compromised neither feeder dependence nor cancer initiating ability as judged by their engraftment potential in immunocompromised mice. Finally, we demonstrate the suitability of this co-culture approach for the investigation of drug combinations with luciferase-expressing primograft ALL cells. Taken together, we have developed a preclinical platform with patient-derived material that will facilitate the development of clinically effective combination therapies for ALL.

Docking and ADMET prediction of few GSK-3 inhibitors divulges 6-bromoindirubin-3-oxime as a potential inhibitor

GSK-3 is a member of cellular kinases with diversified functions such as cellular differentiation, metabolic signaling, neuronal functions and apoptosis. It has been validated as an important therapeutic target in Alzheimer's disease and type 2 diabetes. Few molecules targeting GSK-3 are currently in clinical trials. In this study, we have compared certain docking and computational ADME (Absorption, Distribution, Metabolism, Excretion) parameters of a few GSK-3 targeted ligands (Indirubin, Hymenialdisine, Meridianins, 6-bromoindirubin-3-oxime) against two control molecules (Tideglusib and LY-2090314) to derive and analyze the basic drug-like properties of the test compounds. Docking between the GSK-3 and various ligands was done using AutoDock while ADME parameters were derived from ADMET server PreADMET and admetSAR. Various docked images were retrieved from docking, indicating the docking sites in the target protein. Out of four compounds tested, 6-bromoindirubin-3-oxime (6-BIO) was found as the best docking and ADME parameters, followed by Hymenialdisine (HMD). The LigPlot interaction results show two residues Leu (188) and Thr (138) to be common at the interaction site. The LD50 of 6-BIO is better than one of the control ligands while very similar to the other. Some of the parameters were very similar to the control ligands, thus, making it a suitable candidate among the test ligands. From this in-silico study, we concluded that 6-BIO is a potent drug candidate which could be further tested in vitro and in vivo to establish a drug molecule. Since, 6-BIO is a chemically modified form of the basic molecule Indirubin, we can hypothesize that certain other modified indirubins could be tested as GSK-3 targeted ligands.