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A nanohybrid prepared from green source (nanocellulose, NC) and nitrogen, sulfur co-doped graphene quantum dots (N, S@GQDs) was prepared for the electrochemical detection of olanzapine (OLZ), atypical antipsychotic primarily used to treat schizophrenia and bipolar disorder. Polar groups on the surface of NC and N, S@GQDs provide more anchoring sites for adsorption of OLZ onto the electrode surface. In addition, it provides high conductivity, good mechanical strength, large surface area, and excellent electrical conductivity. The nanocomposite was characterized morphologically and electrochemically by scanning electron microscope (SEM), Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy, powder X-ray diffraction (PXRD), X-ray photoelectron spectroscopy (XPS), energy dispersive X-ray spectroscopy (EDX), transmission electron microscope (TEM), electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV) and square wave adsorptive stripping voltammetry (SWAdSV). Under the optimized conditions, the modified electrode has a good response in the range of 1.5–90.0 × 10−8 M with LOD of 0.5 × 10−8 M. The proposed electrode offers high sensitivity, selectivity, and reliability towards OLZ detection. The SWAdSV was used to determine OLZ in pharmaceutical tablets, human plasma and urine with good recoveries % and reasonable RSD% values.

Herein, we report the synthesis and analysis of fern shaped La2O3 nanostructures as potential scaffolds for efficient hydroquinone chemical sensing application. A facile, low-cost hydrothermal method was applied for the synthesis of 3D fern shaped La2O3 nanostructures. Several techniques were employed to characterize the synthesized La2O3 nanostructures. XRD analysis confirmed the hexagonal phase for the La2O3 nanostructures with an average crystallite size of 35.18 nm. FESEM and TEM analysis established the 3D fern shaped structures for La2O3 nanostructures with dendritic arms of different lengths alongside triangular-ovate outlines. Purity, composition and vibrational features were confirmed by EDS, FTIR and Raman spectroscopic studies. The fabricated 3D fern shaped La2O3 nanostructures modified glassy carbon electrode (GCE) showed remarkable electron mediating properties towards hydroquinone even at very low analyte concentrations. The linear dynamic range (LDR), experimental limit of detection (LOD) and sensitivity for 3D fern shaped La2O3 nanostructures modified GCE in phosphate buffer solution (PBS) were found to be 0.0781–0.625 mM, 0.0781 mM and 463.3 μA mM−1cm−2, respectively. Finally, a mechanism was also proposed for the electrochemical sensing of the hydroquinone. The presented work thus, confirms that the 3D fern shaped La2O3 nanostructures may be the future potential candidates for fabricating efficient and reproducible electrochemical sensors.

An innovative electrochemical sensor was proposed for simultaneous determination of mycophenolate mofetil (Mph) and tacrolimus (TAC) for the first time. A novel sensor based on electro-polymerization of multi-walled carbon nanotubes (MWCNTs) and a novel Cu-1N-allyl-2-(2,5-dimethoxyphenyl)-4,5-diphenyl-1H-imidazole metal organic framework (Cu-ADPPI MOF) on disposable pencil graphite electrode (dPGE). Many techniques were used to characterize the electrochemical activity and surface structure of the fabricated sensor. The proposed sensor exhibited good catalytic performance towards Mph and TAC oxidation due to the synergistic effect. Under optimal conditions, the proposed sensor has achieved a linear range of 0.85-155 × 10-8 M and 1.1-170.0 × 10-8 M with LODs of 0.28 × 10-8 M and 0.36 × 10-8 M for Mph and TAC, respectively. The designated sensor showed good reproducibility, repeatability, stability, and selectivity for the determination of Mph and TAC. Moreover, the simultaneous determination of Mph and TAC in different human biological fluids was carried out with acceptable results. As a result, the proposed sensor opens a new venue for the use of electro-polymerized MOFs in combination with other conductive materials such as MWCNTs for electrochemical sensing of different analytes with the desired sensitivity and selectivity. Graphical abstract Construction of disposable graphite electrode, based on electro-deposition of multilayer films of multi-walled carbon nanotubes and a new generation of Cu-MOFs, for simultaneous analysis of tacrolimus and mycophenolate mofetil for the first time.

A label free electrochemical sensor based on pure titanium oxide and manganese (Mn)-doped titanium oxide (TiO2) nanoparticles are fabricated and characterized for the sensitive detection of myoglobin (Mb) levels to analyze the cardiovascular infarction. Pristine and Mn-doped TiO2 nanoparticles were synthesized via the sol-gel method and characterized in order to understand their structure, morphologies, composition and optical properties. The structural properties revealed that the pure- and doped-TiO2 nanoparticles possess different TiO2 planes. FTIR studies confirm the formation of metal oxide nanoparticles by exhibiting a well-defined peak in the range of 600–650 cm−1. The values of the optical band gap, estimated from UV-Vis spectroscopy, are decreased for the Mn-doped TiO2 nanoparticles. UV-Vis spectra in the presence of myoglobin (Mb) indicated interaction between the TiO2 nanoparticles and myoglobin. The SPE electrodes were then fabricated by printing powder film over the working electrode and tested for label-free electrochemical detection of myoglobin (Mb) in the concentration range of 0–15 nM Mb. The fabricated electrochemical sensor exhibited a high sensitivity of 100.40 μA-cm−2/nM with a lowest detection limit of 0.013 nM (0.22 ng/mL) and a response time of ≤10 ms for sample S3. An interference study with cyt-c and Human Serum Albumin (HSA) of the sensors show the selective response towards Mb in 1:1 mixture.

A sensitive and selective molecular imprinted polymeric network (MIP) electrochemical sensor is proposed for the determination of anti-cancer drug oxaliplatin (OXAL). The polymeric network [poly(pyrrole)] was electrodeposited on a glassy carbon electrode (GCE) modified with silver nanoparticles (Ag) functionalized Cu-metal organic framework (Cu-BDC) and nitrogen-doped carbon nanotubes (N-CNTs). The MIP-Ag@Cu-BDC /N-CNTs/GCE showed an observable reduction peak at −0.14 V, which corresponds to the Cu-BDC reduction. This peak increased and decreased by eluting and rebinding of OXAL, respectively. The binding constant between OXAL and Cu-BDC was calculated to be 3.5 ± 0.1 × 107 mol−1 L. The electrochemical signal (∆i) increased with increasing OXAL concentration in the range 0.056–200 ng mL−1 with a limit of detection (LOD, S/N = 3) of 0.016 ng mL−1. The combination of N-CNTs and Ag@Cu-BDC improves both the conductivity and the anchoring sites for binding the polymer film on the surface of the electrode. The MIP-based electrochemical sensor offered outstanding sensitivity, selectivity, reproducibility, and stability. The MIP-Ag@Cu-BDC /N-CNTs/GCE was applied to determine OXAL in pharmaceutical injections, human plasma, and urine samples with good recoveries (97.5–105%) and acceptable relative standard deviations (RSDs = 1.8–3.2%). Factors affecting fabrication of MIP and OXAL determination were optimized using standard orthogonal design using L25 (56) matrix. This MIP based electrochemical sensor opens a new venue for the fabrication of other similar sensors and biosensors.

Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or mutations on the skin. Skin cancer tends to gradually spread over other body parts, so it is more curable in initial stages, which is why it is best detected at early stages. The increasing rate of skin cancer cases, high mortality rate, and expensive medical treatment require that its symptoms be diagnosed early. Considering the seriousness of these issues, researchers have developed various early detection techniques for skin cancer. Lesion parameters such as symmetry, color, size, shape, etc. are used to detect skin cancer and to distinguish benign skin cancer from melanoma. This paper presents a detailed systematic review of deep learning techniques for the early detection of skin cancer. Research papers published in well-reputed journals, relevant to the topic of skin cancer diagnosis, were analyzed. Research findings are presented in tools, graphs, tables, techniques, and frameworks for better understanding.

Herein, yellow emissive nitrogen doped graphene quantum dots (N@GQDs) were prepared by a novel advanced thermal driven oxidation. The N@GQDs was functionalized with β-cyclodextrin (β-CD) to improve its catalytic performance towards dopamine (DA) detection. The β-CD/N@GQDs exhibited strong fluorescence at λem. = 550 nm after excitation at 460 nm with a quantum yield of 38.6%. The β-CD/N@GQDs showed good peroxidase like activity via catalyzing the oxidation of tetramethylbenzidine (TMB) in presence of H2O2 to form blue colored product at λmax = 652 nm. In the colorimetric assay of DA, the detection based on the oxidation of TMB by H2O2 in presence of β-CD/N@GQDs as a catalyst. Then, the color of the blue oxidized TMB (oxTMB) product was reduced by addition of DA. While the fluorometric detection of DA based on the “inner filter effect” of the overlapped emission spectrum of β-CD/N@GQDs with the absorption spectrum of oxTMB, where, addition of DA reduces oxTMB to TMB and restores the fluorescence intensity of β-CD/N@GQDs. Under the optimized conditions, the colorimetric method achieved linearity range of 0.12–7.5 µM and LOD (S/N = 3) of 0.04 µM, while the fluorometric method achieved linearity range of 0.028–1.5 µM and LOD (S/N = 3) of 0.009 µM. The peroxidase like activity of β-CD/N@GQDs was used to detect DA in human plasma and serum samples with good % recoveries. The colorimetric and fluorometric methods exhibited good sensitivity and selectivity toward DA detection.

Accurate blood smear quantification with various blood cell samples is of great clinical importance. The conventional manual process of blood smear quantification is quite time consuming and is prone to errors. Therefore, this paper presents automatic detection of the most frequently occurring condition in human blood&mdash, microcytic hyperchromic anemia&mdash, which is the cause of various life-threatening diseases. This task has been done with segmentation of blood contents, i.e., Red Blood Cells (RBCs), White Blood Cells (WBCs), and platelets, in the first step. Then, the most influential features like geometric shape descriptors, Gray Level Co-occurrence Matrix (GLCM), Gray Level Run Length Matrix (GLRLM), and Gabor features (mean squared energy and mean amplitude) are extracted from each of the RBCs. To discriminate the cells as hypochromic microcytes among other RBC classes, scanning is done at angles (0∘, 45∘, 90∘, and 135∘). To achieve high-level accuracy, Adaptive Synthetic (AdaSyn) sampling for imbalance learning is used to balance the datasets and locality sensitive discriminant analysis (LSDA) technique is used for feature reduction. Finally, upon using these features, classification of blood cells is done using the multilayer perceptual model and random forest learning algorithms. Performance in terms of accuracy was 96%, which is better than the performance of existing techniques. The final outcome of this work may be useful in the efforts to produce a cost-effective screening scheme that could make inexpensive screening for blood smear analysis available globally, thus providing early detection of these diseases.

An innovative electrochemical nanoprobe was developed for determination of vortioxetine (VORT), a serotonergic antidepressant drug, for the first time. The fabrication of the nanoprobe is based on decoration of a glassy carbon electrode with three-dimensional nickel ferrite nanospheres modified activated graphite nanoplatelets (3D NiFe2O4 NS/AGNP/GCE). The morphological characterization of the nanoprobe was carried out via scanning electron microscope (SEM), transmission electron microscope (TEM), Fourier transform infrared spectroscopy (FT-IR), Raman spectroscopy, energy dispersive X-ray spectroscopy (EDS), N2-adsorption-desorption isotherm, and powder X-ray spectroscopy (PXRD). In addition, the electrochemical behavior of the nanoprobe was described using cyclic voltammetry (CV), differential pulse voltammetry (DPV), and electrochemical impedance spectroscopy (EIS). A well-defined and irreversible peak at 0.82 V was seen at the surface of 3D NiFe2O4 NS/AGNP/GCE. The proposed nanoprobe exhibited outstanding electro-catalytic activity towards VORT oxidation. Under the optimized conditions, the anodic oxidation currents were linearly proportional to VORT concentration at the working range 1.8–90 nM with a LOD of 0.55 nM. The nanoprobe was used to determine VORT in pharmaceutical tablets and human plasma samples. Satisfactory recoveries and RSD percentages were obtained in the range 103.8–107.7% (RSD% = 2.7–3.1%) and 101.4–105.3% (RSD % = 2.8–3.4%) for tablets and plasma samples, respectively. Moreover, the method was used to monitor VORT during a pharmacokinetic study in human volunteers with satisfactory results. The 3D NiFe2O4 NS/AGNP/GCE shows excellent sensitivity, reproducibility, and selectivity towards VORT detection. The proposed electrode could be utilized as simple, rapid, and inexpensive sensing tool for routine analysis and during pharmacokinetic/pharmacodynamic investigations.

The aim of the present work is to evaluate the ability of ‘fungi’ for the biodegradation of recalcitrant xenobiotic compound, ‘Atrazine’ in batch liquid cultures. Different parameters like pH (2.0–8.0) temperature (16–32 °C), biomass (1–5 g), and concentration (25–100 ppm) were optimized for the efficient degradation of atrazine. The decomposition behavior of atrazine is analyzed with the help of Fourier Transform Infrared (FTIR) spectroscopy. Herein, we have reported that the Bjerkandera adusta possess high removal efficiency of the xenobiotic compound (atrazine) up to 92%. The fungal strain investigated could prove to be a valuable active pesticide degrading micro-organism, with high detoxification values. These results are useful for improved understanding and prediction of the behavior and fate of B. adusta in the bio-purification of wastewater contaminated with xenobiotics. Thus providing a new and green approach for the remediation of toxicants without altering the environmental components.

In this research paper, a highly sensitive and selective molecular imprinted polymeric network (MIP) based electrochemical sensor was developed for the determination of histamine (HIS). The functional monomer (pyrrole) was electro-polymerized over the surface of AuNPs functionalized Fe-metal organic framework (Fe-BDC) and nitrogen-sulfur co-doped graphene quantum dots (N, S-GQDs). The MIP-Au@Fe-BDC/ N, S-GQDs /GCE exhibited an observable peak at −0.12 V, which corresponds to the anodic peak of Fe-BDC. This peak was increased and decreased by eluting and rebinding of HIS, respectively. This might be due to the binding constant between Fe-BDC and HIS is 3.5 × 106 mol−1 L. The electrochemical signal (Δi) was increased with the increase of HIS concentration in the range of 0.078–250 nM with a limit of detection (LOD, S/N = 3) of 0.026 nM. The combination of N, S-GQDs and Au@Fe-BDC improves the conductivity and the anchoring sites for binding the polymer film on the surface of the modified electrode. Factors affecting fabrication of MIP and HIS determination were optimized using standard orthogonal design using L25 (56) matrix. The MIP-based electrochemical sensor offered outstanding sensitivity, selectivity, reproducibility, and stability. The proposed electrode was used to quantify HIS in human serum and canned tuna fish samples with recoveries % and relative standard of deviations % (RSDs %) in the range of 97.2–103 % and 1.8–3.8%, respectively. The as-synthesized MIP-based electrochemical sensor opens a new venue for the fabrication of MIP-based sensors and biosensors.

Silver nanoparticles (AgNPs) modified boron and sulfur co-doped reduced graphene oxide (B, S@rGO) were prepared by one-pot hydrothermal method for the first time. The combination between AgNPs and B, S@rGO decreases stacking of B, S@rGO and decreases the particle size of AgNPs; in addition, it enhances the effective surface area and electro-catalytic activities of the nanocomposite. The morphology and structure of AgNPs/B, S@rGO were characterized by scanning electron microscope (SEM), transmission electron microscope (TEM), powder X-ray diffraction (PXRD), Fourier transform infrared spectroscopy (FTIR), energy-dispersive X-ray spectroscopy (EDX), X-ray photoelectron microscope (XPS), Raman spectroscopy, UV-Vis spectroscopy, thermogravimetric analysis (TGA), and Brunauer–Emmett–Teller (BET). The electro-catalytic activity of AgNPs/B, S@rGO was studied using cyclic voltammetry (CV), electron impedance spectroscopy (EIS), and differential pulse voltammetry (DPV). Because of the synergetic effects of AgNPs and B, S@rGO, the modified electrode displayed considerably enhanced sensitivity to ivermectin (IVM) determination. The voltammetric response is linear over the range of 0.3–60.0 nM with LOD (S/N = 3) of 0.1 nM. The proposed sensor exhibited good selectivity, reproducibility, and long-term stability. The modified electrode was used to analyze IVM in injections, urine, and tap-water with recoveries % of 99.6–105.8% and RSDs of 2.14–3.65%.

Herein, a novel “ON-OFF” colorimetric and fluorometric chemosensor; 1N-allyl-2-(2, 5-dimethoxyphenyl)-4, 5-diphenyl-1H-imidazole (ADPPI), was constructed for sequential determination of Cu2+ and S2− ions in aqueous media. The interaction between chemosensor ADPPI and different metal cations was investigated using UV-VIS and fluorimetric spectroscopy. ADPPI showed a favorable and good interaction with Cu2+ ions producing blue colored solution peaked at 610 nm with blue fluorescence at λem. = 447 nm. The produced complex between Cu2+ ions and ADPPI can be used as a cascade probe for detection of S2− ions. The detection limits (LODs) were 1.01 nM and 1.25 μM for Cu2+ and S2− ions, respectively (the lowest between the family of colorimetric and fluorometric chemosensors). To further increase the applicability of the proposed method, Cu2+ and S2− ions concentrations were measured in environmental water samples.

An innovative electrochemical nanoprobe, for analysis of salinomycin (SAL), was proposed. The nanoprobe based on decoration of glassy carbon electrode (GCE) with 3D rose like La3+@ ZrO2 supported on reduced graphene oxide (RGO) nanosheets. The 3D rose like La3+@ ZrO2 was synthesized via sintering process. The successful decoration of 3D rose like La3+@ ZrO2 on the surface of RGO was characterized using different spectroscopic and analytical techniques. The obtained voltammetric results confirmed the good electrochemical performance of 3D rose like La3+@ ZrO2 in terms of lower peak potential (Epc) and higher cathodic current (Ipc). Moreover, the modified nanoprobe showed wide linearity range (0.34–115 × 10−8 M), lower detection limit (0.11 × 10−8 M) and higher selectivity. Besides, the nanocomposite showed good applicability for analysis of SAL in biological fluids and during pharmacokinetic evaluation in rabbit plasma. The obtained results opens a new venue for the determination of futuristic drug, SAL, during pharmacokinetic and pharmacodynamics studies.

A molecularly imprinted polymer (MIP) was developed for the electrochemical determination of the antiviral drug sofosbuvir (SOF). The MIP was obtained by polymerization of p-aminothiophenol (p-ATP) on N,S co-doped graphene quantum dots (N,S@GQDs) in the presence of gold nanoparticles to form gold-sulfur covalent network. The presence of quantum dots improves the electron transfer rate, enhances surface activity and amplifies the signal. The nanocomposites were characterized by FTIR, TEM, EDX, and SEM. The electrochemical performance of the electrode was investigated by differential pulse voltammetry and cyclic voltammetry. The sensor uses hexacyanoferrate as the redox probe and is best operated at a potential of around 0.36 V vs. Ag/AgCl. It has a linear response over the concentration range of 1-400 nM SOF, with a detection limit of 0.36 nM. Other features include high selectivity, good reproducibility and temporal stability. The sensor was applied to the determination of SOF in spiked human plasma. Graphical abstract Novel sofosbuvir imprinted p-ATP polymer was synthesized by the aid of gold nanoparticles on N,S co-doped graphene quantum dots as a good conductive support. The imprinted polymer was used for detection of sofosbuvir in real samples by using the ferri/ferrocyanide redox probe.

Herein, poly (dopamine- Cr3+) nanocubes functionalized reduced graphene oxide ((poly (DAQ-Cr3+) @ rGO)) nanohybrid was proposed for electrochemical determination of flibanserin (FLBN). The poly (DAQ-Cr3+) and poly (DAQ-Cr3+)@ rGO nanohybrids were characterized via different morphological and spectroscopic techniques such as scanning electron microscope (SEM), transmission electron microscope (TEM), energy dispersive X-ray spectroscopy (EDX), Fourier transform infrared (FTIR) spectroscopy, electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV). The modified electrode exhibited high electro- catalytic activity towards the electrochemical oxidation of FLBN in phosphate buffer solution (PBS, pH 6.0). Using DPV technique, the anodic oxidation peak current (Ipa) was increased with the increase of FLBN concentration in the range of 0.05–25.0 × 10−7 M with LOD of 0.016 × 10−7 M. Moreover, the poly (DAQ-Cr3+) @ rGO/GCE was successfully applied for analysis of FLBN in human plasma and urine samples.

Carbon paste electrode (CPE) modified with porous copper based metal organic framework (Cu-MOF) nanocomposite is described for analysis of cyanide (CN−) for the first time. The electrochemical performance of the proposed electrode was investigated by differential pulse voltammetry (DPV), electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV). The Cu-MOF nanocomposite was characterized using scanning electron microscope (SEM), N2-adsorption-desorption isotherms, powder X-ray powder diffraction (PXRD), Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TGA). Under optimal conditions of measurements, the anodic peak (Ipa) decreases linearly in the range of 1.87–25 μM with LOD of 0.60 μM (at S/N = 3). The Cu-MOF/CPE showed good selectivity towards CN− measurement with no significant interference in pH 7.0 using 0.25 M KCl to increase the medium conductivity and to stabilize the analyte and prevents its volatility. Moreover, the method was successfully applied for determination of CN− in different environmental water samples.

Research highlights • Facile sonochemical synthesis of ZnS NPs@rGO was proposed. • The nanohybrid was used for analysis of HCQ and DAC for the first time. • The nanohybrid showed many advantages. • Successful application in blood plasma and urine with acceptable results., In this study, zinc sulfide nanoparticles were loaded on reduced graphene oxide (ZnS NPs/rGO) using simple sonochemical method. The nanocomposite was characterized using different morphological and electrochemical techniques such as TEM, SEM, PXRD, EDX, Raman spectroscopy, FTIR, N2-adsorption–desorption, CV, and EIS. The ZnS NPs/rGO modified glassy carbon electrode (GCE) was used to simultaneously estimate hydroxychloroquine (HCQ) and daclatasvir (DAC) in a binary mixture for the first time. The modified nanocomposite exhibited good catalytic activity towards HCQ and DAC detection. In addition, it showed higher sensitivity, good selectivity and stability; and high reproducibility towards HCQ and DAC analysis. The activity of the modified electrode was noticeably improved due to synergism between ZnS NPs and rGO. Under optimum conditions of DPV measurements, the anodic peak currents (Ipa) were obviously increased with the increase of HCQ and DAC amounts with linear ranges of 5.0–65.0 and 7.0–65.0 nM with LODs of 0.456 and 0.498 nM for HCQ and DAC, respectively. The ZnS NPs/ rGO modified GCE was used to quantify HCQ and DAC in biological fluids with recoveries of 98.7–102.7% and 96.9–104.5% and RSDs of 1.89–3.57% and 1.91–3.70%, respectively.

Polyaniline protected silver nanoparticles (Ag-doped PANI nanocomposites) were synthesized successfully by a solid-state mechano-chemical oxidative polymerization. AgNO3 acted as a metal precursor as well as an oxidizing agent. The prepared Ag-doped PANI nanocomposites were characterized by various techniques such as TEM, FE-SEM, XRD, FTIR and UV–vis spectroscopy. XRD confirmed the cubic FCC form of the Ag nanoparticles with an average crystal size of ~36.04 nm for the Ag-doped PANI nanocomposites. FE-SEM and TEM analysis of Ag-doped PANI nanocomposites revealed the formation of spherical as well as semi-spherical Ag nanoparticles embedded in the PANI polymer matrix. Cyclic voltammogram revealed excellent electrochemical responses and electrocatalytic behavior of the Ag-doped PANI nanocomposites/GCE for hydrogen peroxide (H2O2) and dopamine (DA). Based on cyclic, amperometric and differential pulse voltammetric analysis, it was found that H2O2 undergoes reduction whereas DA is oxidized at the surface of the modified Ag-doped PANI nanocomposites/GCE. For H2O2 and DA, the detection limits as measured from differential pulse voltammetric analysis were 0.03 µM and 0.12 µM, respectively.

Heavy metals like chromium (Cr(VI)) and cadmium (Cd(II)) which are supposed to be indigenous components of rocks, are no longer bound to their place of origin thus manifesting significant toxic impacts on living beings. In the present study, the metal tolerance capacity of highly resistant microorganisms was harnessed individually and in the form of consortium, to remediate conundrum of pollution. These fungal strains were isolated from contaminated sites and screened under various processed conditions. Results of secondary screening had evinced more than 70% of removal percentage for Cr(VI) with the fungi Aspergillus flavus (FS4) and Aspergillus fumigatus (FS6), in the liquid medium. Similarly, one Cd (II) tolerant fungal isolate FS9, identified as Aspergillus fumigatus, showed removal up to 74%. The developed microbial consortium had also enhanced the removal of heavy metals in different industrial effluents. The metal acceptance quality that this fungal consortium possess, may specify its ability as an effective biosorbent for the environment contaminated with heavy metals.

Glaucoma, an eye disease, occurs due to Retinal damages and it is an ordinary cause of blindness. Most of the available examining procedures are too long and require manual instructions to use them. In this work, we proposed a multi-level deep convolutional neural network (ML-DCNN) architecture on retinal fundus images to diagnose glaucoma. We collected a retinal fundus images database from the local hospital. The fundus images are pre-processed by an adaptive histogram equalizer to reduce the noise of images. The ML-DCNN architecture is used for features extraction and classification into two phases, one for glaucoma detection known as detection-net and the second one is classification-net used for classification of affected retinal glaucoma images into three different categories: Advanced, Moderate and Early. The proposed model is tested on 1338 retinal glaucoma images and performance is measured in the form of different statistical terms known as sensitivity (SE), specificity (SP), accuracy (ACC), and precision (PRE). On average, SE of 97.04%, SP of 98.99%, ACC of 99.39%, and PRC of 98.2% are achieved. The obtained outcomes are comparable to the state-of-the-art systems and achieved competitive results to solve the glaucoma eye disease problems for complex glaucoma eye disease cases.

This study investigates the tolerance potential of different species of indigenous fungi that have been isolated from different contaminated sites. The highly resistant organism was optimized under different processed conditions. 11 fungal isolates (F1–F11) have been isolated from samples contaminated with Cd in potato agar plates amended with various concentration ranging from 100–500ppmof Cd(II). The fungi which were found resistant to Cd(II) in primary screening were subjected to secondary screening. Among these strains, isolate F2 was found to be the most tolerant against the Cd(II) at higher concentration with removal percentage of 74.76 ± 0.24 and uptake of 5.02 ± 1.21mg/g. The strain (FS2) was identified as Aspergillus fumigatus based on internal transcribed spacer DNA region (ITS). Among the two isotherm tested, correlation coefficients (R2) of Cd(II) by A. fumigatus were found to be greater for Langmuir isotherm than Freundlich isotherm. Treated and untreated biosorbent were characterized by FTIR spectral analysis and SEM micrograph to study the nature of the biosorbent both prior to and after the removal of Cd(II) ions. It is envisaged that this metal tolerance trait exhibited by this fungal strain may indicate its potentials as successful mediator for bio-remediative clean-up of heavy metal polluted environments.

Herein, a Schiff base, 4-(2-hydroxybenzylideneamino) benzoic acid (HBBA) was synthesized and characterized by FT-IR, 1H NMR and single crystal X-ray. The geometrical parameters calculated for the structure prepared using DFT methods were in close agreement with the experimentally observed values. Hirshfeld surface analysis performed on the crystal structure to explore various intramolecular interactions in the molecule. The band gap and molecular electrostatic potential were calculated using DFT method in order to support charge transfer. Hyperconjugative interactions and electron densities of donor (i) and acceptor (j) were explored using NBO analysis. Photophysical studies revealed the dependency of absorption profile on the pH of the medium. Thermodynamic properties calculated using DFT method revealed a correlations of heat capacity (C), entropy (S) and enthalpy changes (H) with temperatures. The sensor is specific towards Fe3+ ions with turn-off response and reversibility in its fluorescence profile upon addition of EDTA. The proposed was successfully applied for the real time detection of Fe3+ in water samples with good accuracy. The limit of detection observed for the developed sensor was lower than the World health organization (WHO) guidelines (5.00 μM) for drinking water.