Comprehensive review on toxic heavy metals in the aquatic system: sources, identification, treatment strategies, and health risk assessment.

Heavy metal pollution in water sources has become a major worldwide environmental issue, posing a threat to aquatic ecosystems and human health. The pollution of the aquatic environment is increasing as a result of industrialization, climate change, and urban development. The sources of heavy metal pollution in water include mining waste, leachates from landfills, municipal and industrial wastewater, urban runoff, and natural events such as volcanism, weathering, and rock abrasion. Heavy metal ions are toxic and potentially carcinogenic. They can also buildup in biological systems and cause bioaccumulation even at low levels of exposure, heavy metals can cause harm to organs such as the nervous system, liver and lungs, kidneys and stomach, skin, and reproductive systems. There were various approaches tried to purify water and maintain water quality. The main purpose of this article was to investigate the occurrence and fate of the dangerous contaminants (Heavy metal and metalloids) found in domestic and industrial effluents. This effluent mixes with other water streams and is used for agricultural activities and other domestic activities further complicating the issue. It also discussed conventional and non-conventional treatment methods for heavy metals from aquatic environments. Conclusively, a pollution assessment of heavy metals and a human health risk assessment of heavy metals in water resources have been explained. In addition, there have been efforts to focus on heavy metal sequestration from industrial waste streams and to create a scientific framework for reducing heavy metal discharges into the aquatic environment.

Status and future trends in wastewater management strategies using artificial intelligence and machine learning techniques.

The two main things needed to fulfill the world's impending need for water in the face of the widespread water crisis are collecting water and recycling. To do this, the present study has placed a greater focus on water management strategies used in a variety of contexts areas. To distribute water effectively, save it, and satisfy water quality requirements for a variety of uses, it is imperative to apply intelligent water management mechanisms while keeping in mind the population density index. The present review unveiled the latest trends in water and wastewater recycling, utilizing several Artificial Intelligence (AI) and machine learning (ML) techniques for distribution, rainfall collection, and control of irrigation models. The data collected for these purposes are unique and comes in different forms. An efficient water management system could be developed with the use of AI, Deep Learning (DL), and the Internet of Things (IoT) structure. This study has investigated several water management methodologies using AI, DL and IoT with case studies and sample statistical assessment, to provide an efficient framework for water management.

Muscle Transcriptome Sequencing Revealed Thermal Stress-Responsive Regulatory Genes in Farmed Rohu, Labeo rohita (Hamilton, 1822).

Rohu, Labeo rohita, is one of the most important aquaculture species in the Indian subcontinent. Understanding the molecular-level physiological responses to thermal stress or climate change is essential. In the present work, transcriptome sequencing was carried out in the muscle tissue of the rohu in response to heat stress (35 °C) in comparison with the control (28 °C). A total of 125 Gb of sequence data was generated, and the raw-reads were filtered and trimmed, which resulted in 484 million quality reads. Reference-based assembly of reads was performed using L. rohita genome, and a total of 90.17% of reads were successfully mapped. A total of 37,462 contigs were assembled with an N50 value of 1854. The differential expression analysis revealed a total of 107 differentially expressed genes (DEGs) (15 up-, 37 down-, and 55 neutrally regulated) as compared to the control group (Log2FC > 2, P < 0.05). Gene enrichment analysis of DEGs indicates that transcripts were associated with molecular, biological, and cellular activities. The randomly selected differentially expressed transcripts were validated by RT-qPCR and found consistent expression patterns in line with the RNA-seq data. Several transcripts such as SERPINE1(HSP47), HSP70, HSP90alpha, Rano class II histocompatibility A beta, PGC-1 and ERR-induced regulator, proto-oncogene c-Fos, myozenin2, alpha-crystallin B chain-like protein, angiopoietin-like protein 8, and acetyl-CoA carboxylases have been identified in muscle tissue of rohu that are associated with stress/immunity. This study identified the key biomarker SERPINE1 (HSP47), which showed significant upregulation (~ 2- to threefold) in muscle tissue of rohu exposed to high temperature. This study can pave a path for the identification of stress-responsive biomarkers linked with thermal adaptations in the farmed carps.

A comprehensive review on bio-stimulation and bio-enhancement towards remediation of heavy metals degeneration.

Pollution of heavy metals is one of the risky contaminations that should be managed for all intents and purposes of general well-being concerns. The bioaccumulation of these heavy metals inside our bodies and pecking orders will influence our people in the future. Bioremediation is a bio-mechanism where residing organic entities use and reuse the squanders that are reused to one more form. This could be accomplished by taking advantage of the property of explicit biomolecules or biomass that is equipped for restricting by concentrating the necessary heavy metal particles. The microorganisms can't obliterate the metal yet can change it into a less harmful substance. In this unique circumstance, this review talks about the sources, poisonousness, impacts, and bioremediation strategies of five heavy metals: lead, mercury, arsenic, chromium, and manganese. The concentrations here are the ordinary strategies for bioremediation such as biosorption methods, the use of microbes, green growth, and organisms, etc. This review demonstrates the toxicity of heavy metal contamination degradation by biotransformation through bacterioremediation and biodegradation through mycoremediation.

Identifying global status and research hotspots of heavy metal remediation: A phase upgrade study.

Impact of heavy metal (HM) pollution and its understanding on environment as well as human beings has grown a lot during the last few decades. The goal of this study is to create a scientometric study on heavy metal contamination, in the period 1989 to 2020, in order to provide futuristic goals for the new researchers on wastewater treatment. For this, a search was conducted in the Web of Science (WoS) and Scopus databases, related to heavy metal pollution. Totally, 37,154 records were collected during the study period from 1989 to 2020. The findings revealed that China, the United States, and India has most referenced papers across a wide range of trans disciplinary issues such as toxicity, technology, and pollution. As a result, this study concludes that more research on various treatment methods is required in order to obtain high-quality water for consumption and routine activities, with the incorporation of various treatment tasks poses various challenges for the upcoming future studies.

Effect of green synthesized nano-titanium synthesized from Trachyspermum ammi extract on seed germination of Vigna radiate.

The current work investigates the conditional influence on Vigna radiate seed germination in vitro and in vivo using the green chemistry approach for the manufacture of titanium dioxide nanoparticles (TiO2 NPs) from seed extract of Trachyspermum ammi (T. ammi). Ultraviolet spectroscopy (UV-Vis), Fourier transform infrared spectroscopy (FTIR), Transmission electron microscopy (TEM), and X-ray diffraction (XRD) were used to analyze the TiO2 NPs produced. The crystalline nature of TiO2 NP was revealed by XRD data, and TEM investigation revealed an irregularity in TiO2 NP shape with a size of 17.5 nm. UV absorbance at 315 nm for the TiO2 NPs was observed using Ultraviolet-visible spectrophotometer. The antioxidant potential of the synthesized nanoparticle was discovered to be good. In case of seed germination studies, six concentrations (25, 50 100, 150, 200, and 250 µg mL- 1) of TiO2 NPs were examined along with the control on Vigna radiata seeds. Germination parameters such as seed vigor index (SVI), germination percentage (GP), germination value (GV) root length (RL) and shoot length (SL) of the Vigna radiata seedlings were observed and results revealed that the green synthesized TiO2 NPs were significantly improved. The results indicated that the TiO2 NP affected the plant growth more specifically at lower concentration (50 µg mL-1) of TiO2 NPs. Overall, the findings of this present study stipulated that the green TiO2 NP production can enhance the growth of Vigna radiate under in vitro and in vivo conditions.

Green synthesis of titanium dioxide nanoparticles using plant biomass and their applications- A review.

Biosynthesized nanoparticles have sparked a lot of interest as rapidly growing classes of materials for different applications. Plants are considered to be one of the most suitable sources for Green synthesis (GS) as they follow the environment-friendly route of biosynthesis of nanoparticles (NPs). This article focuses on the excavation of Titanium dioxide (TiO2) NP from different parts of plants belonging to a distinct classification of taxonomic groups. During the process of biological synthesis of titanium NPs from plants, the extract derived from plant sources such as from root, stem, leaves, seeds, flowers, and latex possesses phytocompounds that tend to serve as both capping as well as reducing agents. TiO2NP is one of the most commonly used engineered nanomaterials in nanotechnology-based consumer products. This article will provide an overview of the GS and characterization of TiO2NPs from plant extracts of different taxonomic groups. Lastly, this review summarizes the current applications of TiO2NPs.

Synthesis of magnesium nanocomposites decked with multilayer graphene (MG) and its application for the adsorptive removal of pollutant.

Fossil fuel burning is the exclusive of key causes for greenhouse fume Carbon dioxide (CO2). Magnesium nanocomposites synthesized in combination with graphene were characterized and their performance in adsorbing CO2 is validated. The novelty of this work is the use of magnesium oxide decked MG to capture CO2. The magnesium nanocomposites decked with multilayer graphene (MG) were prepared using a simple combustion process. BET surface area of 1480 m2g-1 makes it desirable for adsorbing CO2 molecules. FTIR analysis after adsorption of CO2 shows peak mid position at 3470.45 cm-1, 1300-1000 cm-1, 1603 cm-1, and 1114.30 cm-1 corresponding to the functional groups R-C-O, R-OH, R-COOH, -alkyne, Si-O-Si, and R-C-O-H shifted, signifying that chemisorption has taken place. The effect of many experimental parameters like adsorbent mass, period, and concentration of CO2 was optimized during the experiments. A maximum of 92.2% of CO2 was adsorbed at a concentration of 5 × 10- 4 M at the optimum contact of 70 min. During the experiment, the saturation point was attained at 70 min. Experiment results were best fitting to Langmuir adsorption isotherm; the maximum monolayer adsorption capacity of MG was 7.067 × 10-3 mol/g/min. The kinetics of CO2 on MG was labeled by Pseudo-second-order and R2 value nearly 0.988.

Evaluation of Macular Thickness, Retinal Nerve Fiber Layer and Ganglion Cell Layer Thickness in Patients among Type 2 Diabetes Mellitus Using Optical Coherence Tomography.

BACKGROUND: Vascular abnormalities and microvasculopathy are one of the widely accepted factors of diabetic retinopathy (DR). Retinal Neuronal dysfunction and neurodegeneration are also important components in the pathogenesis of DR. However recent investigations show neurodegenerative alterations before the appearance of microvascular changes in patients having DR. AIMS AND OBJECTIVES: (1) To measure the macular thickness, retinal nerve fiber layer thickness, and ganglion cell complex thickness among patients with type 2 diabetes mellitus using optical coherence tomography. (2) To compare the macular thickness, retinal nerve fiber layer thickness and ganglion cell complex thickness in type 2 diabetic patients with and without DR with normal controls using optical coherence tomography. MATERIALS AND METHODS: Thirty Patients with type 2 diabetes mellitus without DR, 30 having mild and moderate DR and 30 healthy normals are taken considering the inclusion and exclusion criteria. Macular thickness, retinal nerve fiber layer (RNFL) thickness, ganglion cell layer-inner plexiform layer (GCL-IPL) thickness was measured in each individual and it was compared using one way ANOVA test, post hoc test and Pearson correlation was performed to evaluate the linear correlation between variables and calculated P < 0.05 was regarded as its significance. RESULTS: The average RNFL thickness was 90.27 ± 5.57 and 107.7 ± 5.32 um in diabetic patients and controls respectively (P < 0.001). Furthermore, for two different groups of diabetic patients, the average RNFL thickness was 89.92 ± 6.62 um in the no DR group and 78.6 ± 3.93 in the DR group (P = 0.339). The average GCL-IPL thickness was 82.65 ± 2.25 um and 92.10 ± 2.41 um in diabetic patients and controls, respectively (P < 0.001). Furthermore, for two different groups of diabetic patients, the average GCL-IPL thickness was 82.22 ± 2.11 um in the no DR group and 71.55 ± 2.34 in the DR group (P = 0.535). The average macular thickness was 238.03 ± 4.42 and 277.9 ± 5.85 um in diabetic patients and controls, respectively (P < 0.001). Furthermore, for two different groups of diabetic patients, the average macular thickness was 236.56 ± 4.10 um in the no DR group and 242.8 ± 4.95 um in the DR group (P = 0.585). CONCLUSION: There was a statistically significant reduction of mean RNFL, GCL-IPL and macular thickness in type 2 diabetic patients with no DR compared with a homogenous control group indicating neuroretinal changes occur before vascular changes of DR.

Hilar cholangiocarcinoma: Cross sectional evaluation of disease spectrum.

Although hilar cholangiocarcinoma is relatively rare, it can be diagnosed on imaging by identifying its typical pattern. In most cases, the tumor appears to be centered on the right or left hepatic duct with involvement of the ipsilateral portal vein, atrophy of hepatic lobe on that side, and invasion of adjacent liver parenchyma. Multi-detector computed tomography (MDCT) and magnetic resonance cholangiopancreatography (MRCP) are commonly used imaging modalities to assess the longitudinal and horizontal spread of tumor.

In the workup of patients with obscure gastrointestinal bleed, does 64-slice MDCT have a role?

PURPOSE: The purpose was to prospectively determine the sensitivity of 64-slice MDCT in detecting and diagnosing the cause of obscure gastrointestinal bleed (OGIB). MATERIALS AND METHODS: Our study included 50 patients (male 30, female 20) in the age range of 3-82 years (average age: 58.52 years) who were referred to our radiology department as part of their workup for clinically evident gastrointestinal (GI) bleed or as part of workup for anemia (with and without positive fecal occult blood test). All patients underwent conventional upper endoscopy and colonoscopy before undergoing CT scan. Following a noncontrast scan, all patients underwent triple-phase contrast CT scan using a 64-slice CT scan system. The diagnostic performance of 64-slice MDCT was compared to the results of capsule endoscopy, 99m-technetium-labeled red blood cell scintigraphy (99mTc-RBC scintigraphy), digital subtraction angiography, and surgery whenever available. RESULTS: CT scan showed positive findings in 32 of 50 patients. The sensitivity, specificity, positive predictive value, and negative predictive values of MDCT for detection of bleed were 72.2%, 42.8%, 81.2%, and 44.4%, respectively. Capsule endoscopy was done in 15 patients and was positive in 10 patients; it had a sensitivity of 71.4%. Eleven patients had undergone 99mTc-RBC scintigraphy prior to CT scan, and the result was positive in seven patients (sensitivity 70%). Digital subtraction angiography was performed in only eight patients and among them all except one patient showed findings consistent with the lesions detected on MDCT. CONCLUSION: MDCT is a sensitive and noninvasive tool that allows rapid detection and localization of OGIB. It can be used as the first-line investigation in patients with negative endoscopy and colonoscopy studies. MDCT and capsule endoscopy have complementary roles in the evaluation of OGIB.

Pituitary stalk transection syndrome: Comparison of clinico-radiological features in adults and children with review of literature.

Hypo-pituitarism results from impaired production of one or more of anterior pituitary trophic hormones. A rare cause of hypo-pituitarism is pituitary stalk transection syndrome. The MRI features of this condition in children and its association with hormonal deficiencies have been reported earlier. Reports on adults with this disorder are scarce, with only one small case series published in the recent literature. We studied the hormonal deficiency pattern and MRI findings of 12 patients with pituitary stalk transection syndrome who presented to our department between 2004 and 2011. Six patients were children and six were adults (≥18 years). This article compares the adult clinico-radiological phenotype of pituitary transection syndrome with the pediatric group of patients with same condition.

Optimization, equilibrium and kinetics studies on sorption of Acid Blue 9 using brown marine algae Turbinaria conoides.

In the present study, the parameters, temperature, adsorbent dose, contact time, adsorbent size and agitation speed were optimized for Acid Blue 9 removal from aqueous medium by using response surface methodology (RSM). The optimum conditions for maximum removal of Acid Blue 9 from an aqueous solution of 100 mg/l were found as follows: temperature (33 degrees C), adsorbent dose (3 g/l), contact time (225 min), adsorbent size (85 mesh (0.177 mm)) and agitation speed (226 rpm). At these optimized conditions, batch adsorption experiments were conducted to study the effect of pH and initial dye concentration for the removal Acid Blue 9 dye. Kinetic and equilibrium studies were carried out for the experimental results. From the kinetic studies it was found that pseudo second order model suits the system well. From the equilibrium studies, the Freundlich and Redlich-Peterson isotherm fit the data well.