Removal of anionic dye from textile effluent using zirconium phosphate loaded polyaniline-graphene oxide composite: Lab to pilot scale evaluation.

Efficient filtering of dyes is essential for the protection of ecosystem and human health due to the considerable water pollution caused by the effluents released from the sector. We present a simple, scalable UV radiation-assisted method for treating methyl orange dye-polluted water from the textile industry using zirconium phosphate-loaded polyaniline-graphene oxide (PGZrP) composite. The new material was synthesized by sonochemically incorporating a polyaniline-graphene oxide composite with hydrothermally synthesized zirconium phosphate. The efficacy of PGZrP in eliminating methyl orange was evaluated using experimental conditions, and the adsorption capacity was investigated as a function of pH, temperature, adsorbent dosage, and adsorption period. The system follows Langmuir adsorption isotherm with pseudo-second-order kinetics. Thermodynamics studies showed that enthalpy (H°) and entropy (S°) values are positive, indicating that the dye adsorption increases with increasing temperature and is an endothermic reaction. The maximum adsorption capacity was found to be 36.45379 mg/g for methyl orange. Using the COMSOL Multiphysics CFD Platform, an attempt was made to check the temperature and concentration profile of a PGZrP composite in a real industrial system. The predicted result shows that there is no significant temperature change in the material during the adsorption process and the concentration of dye is mainly located on the top region of the bed. The developed zirconium phosphate decorated polyaniline-graphene oxide composite can be successfully utilized for the effective removal of methyl orange from industrial wastewater in bulk quantity which is coming from the textile industry, and the composite can be reused for several cycles with good efficiency. In this work, we have designed a miniaturized proof of concept to remove methyl orange from water which showed good dye removal efficiency.

Zirconium Phosphate-Incorporated Polyaniline-Graphene Oxide Composite Modified Electrodes for Effective and Selective Detection of Nitrite.

Nitrite contamination in food, water, and environmental samples poses a substantial health hazard, owing to its capacity for transformation into carcinogenic compounds. Given the profound ecological and physiological implications, precise and highly sensitive surveillance of nitrite has emerged as an imperative area of concern, addressing the substantial detrimental impact that it can have on both terrestrial and aquatic ecosystems. The novel electroactive polyaniline-graphene oxide composite, incorporating hexagonal zirconium phosphate discs (PGZrP), was systematically engineered as a foundation for an advanced electrochemical sensor, enabling precise nitrite detection in diverse aqueous and biological matrices. At a specific potential peak of +0.85 V, observed within a pH 7.0 phosphate buffer solution, the PGZrP-modified glassy carbon electrode (GCE) exhibited exceptional electrocatalytic proficiency in the sensing nitrite ions (NO2-), surpassing the performance of alternative electrode configurations, including the zirconium phosphate-modified GCE (ZrP/GCE), graphene oxide-modified GCE (GO/GCE), polyaniline-graphene oxide-modified GCE (PG/GCE), and the unmodified bare glassy carbon electrode. The constructed sensor demonstrated an impressive limit of detection at 80 nM along with a broad and linear detection range spanning from 124 nM to 40 mM. The synergistic effect created by the close contact between ZrP and PG, which resulted in a well-enhanced electrochemical sensing capability, was responsible for this exceptional activity. The developed sensor exhibited an enhanced electrochemical performance characterized by an extended operational range, a heightened detection threshold, and exceptional sensitivity. The PGZrP/GCE sensor, as fabricated, consistently demonstrated commendable operational stability, robust reproducibility, and remarkable repeatability in its capacity for nitrite detection. Furthermore, its successful application in the precise quantification of nitrite levels within environmental water samples and blood specimens showcased an impressive recovery rate, establishing it as a promising tool for diverse analytical applications. These findings indicate the promising potential of the PGZrP composite for integration into electrochemical devices designed to deliver rapid response times, heightened sensitivity, and sustained stability, thereby placing it as a potential candidate for the production of cutting-edge sensors, particularly those employed for the precise recognition of nitrite in aquatic and biological specimens.

Cost-Effectiveness of photoscreeners in screening at-risk amblyopia in Indian children.

Objectives: Amblyopia is the most common cause of preventable vision impairment in children. This study tried to evaluate the cost-effectiveness of photoscreeners in identifying refractive errors making children at risk of amblyopia. Materials and Methods: This was designed as a prospective, open-label, randomized controlled study to compare the cost-effectiveness of photoscreeners (2WIN Adaptica and Plusoptix) versus autorefractor and Mohindra retinoscopy to identify the at-risk amblyopia. This study was conducted from October 2018 to December 2018 in coordination with Nanna Kannu school screening project and children in the age group of 5-11 years were included in the study. The photoscreening was done by lay screeners. A supervising ophthalmologist collated all data. Cost-effectiveness was calculated for the individual instruments and compared. The average time is taken for each instrument to record the refractive error was calculated and compared with the Mohindra retinoscopy. Results: Number of children included in this study was 2910. The mean age of the children was 7.82 + 0.65 years. The mean time taken for 2WIN Adaptica was 6 sec, Topcon -10 s, and Plusoptix -4 s. Plusoptix showed the minimal time for screening a child when compared to all other methods. The Plusoptix and 2WIN Adaptica were shown to be cost-effective when compared to Mohindra retinoscopy (P < 0.05). Conclusion: Photoscreening using Plusoptix and 2WIN Adaptica with lay screeners was < seven times the cost incurred and five times faster than the trained optometrists using either autorefractor or Mohindra retinoscopy and thus more cost-effective in screening a large number of young children with at-risk amblyopia at the community level.

Recent Advances and Challenges in Textile Electrodes for Wearable Biopotential Signal Monitoring: A Comprehensive Review.

The technology of wearable medical equipment has advanced to the point where it is now possible to monitor the electrocardiogram and electromyogram comfortably at home. The transition from wet Ag/AgCl electrodes to various types of gel-free dry electrodes has made it possible to continuously and accurately monitor the biopotential signals. Fabrics or textiles, which were once meant to protect the human body, have undergone significant development and are now employed as intelligent textile materials for healthcare monitoring. The conductive textile electrodes provide the benefit of being breathable and comfortable. In recent years, there has been a significant advancement in the fabrication of wearable conductive textile electrodes for monitoring biopotential signals. This review paper provides a comprehensive overview of the advances in wearable conductive textile electrodes for biopotential signal monitoring. The paper covers various aspects of the technology, including the electrode design, various manufacturing techniques utilised to fabricate wearable smart fabrics, and performance characteristics. The advantages and limitations of various types of textile electrodes are discussed, and key challenges and future research directions are identified. This will allow them to be used to their fullest potential for signal gathering during physical activities such as running, swimming, and other exercises while being linked into wireless portable health monitoring systems.

Effectiveness of Kanna photoscreener in detecting amblyopia risk factors.

Purpose: Amblyopia is a significant public health problem. Photoscreeners have been shown to have significant potential for screening; however, most are limited by cost and display low accuracy. The purpose of this study was validate a novel artificial intelligence (AI) and machine learning-based facial photoscreener "Kanna," and to determine its effectiveness in detecting amblyopia risk factors. Methods: A prospective study that included 654 patients aged below 18 years was conducted in our outpatient clinic. Using an android smartphone, three images of each the participants' face were captured by trained optometrists in dark and ambient light conditions and uploaded onto Kanna. Deep learning was used to create an amblyopia risk score based on our previous study. The algorithm generates a risk dashboard consisting of six values: five normalized risk scores for ptosis, strabismus, hyperopia, myopia and media opacities; and one binary value denoting if a child is "at-risk" or "not at-risk." The presence of amblyopia risk factors (ARF) as determined on the ophthalmic examination was compared with the Kanna photoscreener. Results: Correlated patient data for 654 participants were analyzed. The mean age of the study population was 7.87 years. The algorithm had an F-score, 85.9%; accuracy, 90.8%; sensitivity, 83.6%; specificity, 94.5%; positive predictive value, 88.4%; and negative predictive value, 91.9% in identifying amblyopia risk factors. The P value for the amblyopia risk calculation was 8.5 × 10-142 implying strong statistical significance. Conclusion: The Kanna photo-based screener that uses deep learning to analyze photographs is an effective alternative for screening children for amblyopia risk factors.

Hepatoid carcinoma of the pancreas combined with serous cystadenoma: a case report and review of the literature.

Pancreatic hepatoid carcinoma (HC) is an extremely uncommon neoplasm of pancreas that resembles hepatocellular carcinoma (HCC). We report a case of incidentally detected pancreatic HC combined with a serous microcystic cystadenoma, in a 47-year-old man, while he was being evaluated for renal calculi. Contrast enhanced computed tomography (CECT) of abdomen revealed a lesion with mild heterogeneous enhancement in the tail of pancreas and another proximal lesion having moderate enhancement, and a calculus in the neck of gallbladder. Serum chromogranin, carcinoembryonic antigen (CEA) and CA 19-9 levels were within normal limits. He underwent laparoscopic distal pancreatectomy with splenectomy and cholecystectomy. Pathologically the distal tumor was encapsulated and characterized by eosinophilic cytoplasm, vesicular nucleus with prominent nucleolus and intranuclear eosinophilic inclusions. The cells were arranged in trabecular pattern separated by sinusoids. Canalicular and intercellular bile plugs were seen. On immunohistochemistry tumor cells were positive for hepatocyte specific antigen and weakly positive for alpha fetoprotein (AFP). The proximal tumor showed features of serous microcystic adenoma. Based on these findings, the case was diagnosed as hepatoid tumor of pancreas combined with serous microcystic cystadenoma. Post operative AFP was 1.75 IU/mL. The patient is on follow up for the last eight months and there is no evidence of recurrence.