COVID-19 pandemic has disrupted the continuity of care for chronic patients: evidence from a cross-sectional retrospective study in a developing country.

BACKGROUND: Any disruption in continuity of care for patients with chronic conditions can lead to poor outcomes for the patients as well as great damage for the community and the health system. This study aims to determine the continuity of care for patients with chronic conditions such as hypertension and diabetes during COVID-19 pandemic. METHODS: Through a cross-sectional retrospective study, data registered in six health centers in Yazd, Iran were analyzed. Data included the number of patients with chronic conditions (hypertension and diabetes) and average daily admission during a year before COVID-19 pandemic and the similar period after COVID-19 outbreak. The experience of continuity of care was assessed applying a validated questionnaire from a sample of 198 patients. Data analysis was done using SPSS version 25. Descriptive statistics, independent T-Test and Multivariable regression were used for analysis. FINDINGS: Results indicate that both visit load of the patients with chronic conditions (hypertension and diabetes) and their average daily admission were decreased significantly during a year after COVID-19 pandemic compared to the similar period before COVID-19 outbreak. The moderate average score of the patients` experience towards continuity of care during the pandemic was also reported. Regression analysis showed that age for the diabetes patients and insurance status for the hypertension patients affect the COC mean scores. CONCLUSION: COVID-19 pandemic causes serious decline in the continuity of care for patients with chronic conditions. Such a deterioration not only can lead to make these patients` condition worse in a long-term period but also it can make irreparable damages to the whole community and the health system. To make the health systems resilient particularly in disasters, serious attention should be taken into consideration among them, developing the tele-health technologies, improving the primary health care capacity, designing the applied responsive models of continuity of care, making multilateral participations and inter-sectoral collaborations, allocating sustainable resources, and enabling the patients with selfcare skills are more highlighted.

In vitro antifungal potency of the moronecidin-like peptide against Candida albicans, Candida glabrata, and Candida tropicalis.

Background and Objectives: The aim of this study was to investigate the in vitro antifungal potency of the moronecidin-like peptide against Candida albicans, Candida glabrata, and Candida tropicalis. Materials and Methods: To evaluate the antifungal effect of moronecidin-like peptide, the protocol presented in CLSI M27-A3 and CLSI M27-S4 was used and the minimum inhibitory concentration was determined. Results: The minimum inhibitory effect of moronecidin-like peptide composition was 8 µg/ml for Candida tropicalis and Candida albicans and 32 µg/ml for Candida glabrata. The MIC of nystatin was determined to be 1.25 µg/ml for Candida glabrata and Candida albicans and 0.625 µg/ml for Candida tropicalis strains. The MFC composition of the moronecidin-like peptide was determined for Candida tropicalis and Candida albicans strains 8 µg/ml and for Candida glabrata strain 64 µg/ml. The results of cytotoxicity and hemolysis of the moronecidin peptide test on macrophage showed that moronecidin peptide has no cytotoxicity and toxicity properties. Conclusion: According to the results of the present study, the moronecidin-like peptide could be a new strategy in the treatment of infections caused by Candida strains. The discovery of the exact mechanism of which requires extensive clinical studies in this field.

The HAN method for a thermal analysis of forced non-Newtonian MHD Reiner-Rivlin viscoelastic fluid motion between two disks.

In this article, the semi-analytical technique of the Hybrid Analytical and Numerical Method (the HAN Method) is used to study the non-transient forced non-Newtonian MHD Reiner-Rivlin viscoelastic fluid motion that is constrained between two plates. The magnetic field is also present in this model. The governing equations are in the PDE form and by using the Von Kármán similarity variables, they transformed into a set of ODEs. The HAN-method is applied to solve the ODEs and their associated boundary conditions, analytically. In addition, for the validation, the HAN solution results were compared with the HPM and numerical technique of Runge-Kutta results. And finally, new results were extracted from the HAN solutions in a quantitative form.

NKCC1 to KCC2 mRNA Ratio in Schizophrenia and Its Psychopathology: a Case-Control Study.

Schizophrenia (SCZ) is a debilitating, destructive, and chronic mental disorder and affects approximately one percent of the human population. Diagnosis in psychiatry is based on the patient's descriptions of his/her symptoms, interviewer's observations, history of disorder over time, and response to treatment. All of these data measure phenotype-based functions. But it appears that accurate diagnosis of such a complex disorder must be based on valid and reliable factors. In the present study, gene selection was based on the possible role of γ-aminobutyric acid (GABA) in psychopathology of SCZ and expression in blood. We evaluated the association of Na+-K+-Cl- co-transporter 1 (NKCC1) and K+-Cl- co-transporter 2 (KCC2) genes' messenger ribonucleic acid (mRNA) levels, and also the NKCC1/KCC2 ratio with positive and negative syndrome scale (PANSS) and brief psychiatric rating scale (BPRS) scores in an SCZ group. By using real-time PCR (RT-PCR), the present study is the first attempt to explore levels of NKCC1 and KCC2 expression at mRNA level and their relative expression in human peripheral blood of patients with SCZ. Our results showed that the NKCC1 to KCC2 mRNA ratio is significantly increased (but based on the delta cycle of threshold [∆Ct] is significantly lower) in the total sample of cases rather than controls (p = 0.045) and also higher in male sample cases rather than male controls (p = 0.016). In female samples, we found a trend toward a significant effect between the case and control participants (p = 0.075). We also found statistically significant association between mRNA of NKCC1 and KCC2 genes and NKCC1/KCC2 mRNA ratio with the positive and negative syndrome scale (PANSS) and brief psychiatric rating scale (BPRS) scores.

Active Retrieval Improves Procedural Learning in Orthopedic Surgery.

OBJECTIVE: Tests are shown to enhance learning: this is known as the "testing effect". The benefit of testing is theorized to be through "active retrieval", which is the effortful process of recalling stored knowledge. This differs from "passive studying", such as reading, which is a low effort process relying on recognition. The testing effect is commonly studied in random word list scenarios and is thought to disappear as complexity of material increases. Little is known about the testing effect in complex situations such as procedural learning. Therefore, we investigated if testing improves procedural learning of fracture fixation as compared to "passive studying". DESIGN, SETTING, AND PARTICIPANTS: Fifty participants watched an instructional video of an open reduction internal fixation of a Sawbones™ femur. Participants then performed the procedure under guided supervision (pretest). After randomization, they either read the steps (passive studying group), or wrote down the steps from memory (active retrieval group) for a period of 15 minutes. After a washout period, all participants performed the procedure without guidance (posttest) and then once more, 1 week after the initial testing (retention test). The participants were assessed using the Objective Structured Assessment of Technical Skill. Each performance was video recorded for data analysis purposes. RESULTS: Participants in the passive studying group had significantly higher Objective Structured Assessment of Technical Skill scores during immediate assessment compared to the active retrieval group (p = 0.001), especially with respect to remembering the correct order of the steps (p = 0.002). The percentage of information forgotten was significantly less in the active retrieval group (p = 0.02) at the retention test. CONCLUSION: We demonstrated that, compared to passive studying, testing with active retrieval through writing resulted in better retention of fracture fixation knowledge (i.e., less forgetting). These findings can easily be applied and incorporated in existing curricula. Future studies are needed to determine the effects of different kinds of active retrieval methods such as verbal retrieval (e.g., dictating) in surgical practice.

Prevalence of osteoporosis in osteoarthritis: a systematic review and meta-analysis.

Data are contradictory regarding the relationship between osteoarthritis (OA) and osteoporosis (OP) with some studies showing the increased risk of OP in OA. The study was conducted to determine whether OP prevalence is increased in patients with OA, compared to age and sex-matched population. MEDLINE, EMBASE, Scopus, Web of Science, and Cochrane Library (inception-2019) were searched for studies reporting the frequency, rate, prevalence, incidence, risk, or excess risk of OP in patients with OA compared to age and sex-matched population. Estimates were combined using a random effects model. Consistency was evaluated using the I2 statistic. Articles with fewer than 200 participants were excluded. Of 2772 articles, 49 had full article screening, and 8 articles met the inclusion criteria. Other articles reporting mean BMD and not OP were excluded. In women, 998 participants with OA were compared with 1903 controls. The pooled estimate of the odds ratio for prevalence of OP vs general matched population was not statistically different. In men, 136 participants with OA were compared with 682 controls. The results did not show a statistically significant difference in the frequency of OP in OA in men. According to the site of bone mineral density measurement, a higher prevalence of OP at lumbar spine was found in both men and women. The frequency of OP overall in participants with OA was not different, except for a higher prevalence of OP in lumbar spine in both men and women compared to the matched controls.

Comparison of PCR and Conventional Serological Methods for Detection of Brucella spp. in Ovine and Caprine Blood Serum.

Brucellosis is an anthropozoonotic disease. Infection of livestock with Brucella is endemic in most parts of Iran. Sistan-Baluchestan is bordered on the east by the countries of Afghanistan and Pakistan. The high prevalence of brucellosis in livestock in the eastern neighboring countries results in transmission of the disease to this province. The present research aimed to determine the prevalence of brucellosis in small ruminants in the Sistan region of Iran and to compare serological and molecular tests for the detection of brucellosis. Blood samples were taken from 150 randomly selected sheep and goats, and sera were separated. All sera were analyzed by serological (Wright and 2-ME) and molecular (Polymerase Chain Reaction (PCR)) tests. Serological tests were carried out according to the instructions of the Iranian Veterinary Organization The degree of agreement between serological tests and PCR was determined by kappa value. In this study, 17 cases (11.3%) were identified as positive by the PCR method. Wright and 2-ME tests had the highest agreement with PCR in titers ≥2/80 and ≥2/40, respectively. The results of this study show that the brucellosis in sheep and goats has a greater prevalence in the Sistan region than in most other parts of Iran, and this is important in terms of public health. It is suggested that brucellosis vaccination coverage in livestock be increased in this area and that the people in Sistan region must be notified about methods for preventing brucellosis. Also, further studies to compare conventional serologic tests with the gold standard test are recommended.

A Nuclear Magnetic Resonance-Based Metabolomic Study to Identify Metabolite Differences between Iranian Isolates of Leishmania major and Leishmania tropica.

Background: Cutaneous leishmaniasis caused by Leishmania species (L. spp) is one of the most important parasitic diseases in humans. To gain information on the metabolite variations and biochemical pathways between L. spp, we used the comparative metabolome of metacyclic promastigotes in the Iranian isolates of L. major and L. tropica by proton nuclear magnetic resonance (1H-NMR). Methods: L. tropica and L. major were collected from three areas of Iran, namely Gonbad, Mashhad, and Bam, between 2017 and 2018, and were cultured. The metacyclic promastigote of each species was separated, and cell metabolites were extracted. 1H-NMR spectroscopy was applied, and the data were processed using ProMatab in MATLAB (version 7.8.0.347). Multivariate statistical analyses, including the principal component analysis and the orthogonal projections to latent structures discriminant analysis, were performed to identify the discriminative metabolites between the two L. spp. Metabolites with variable influences in projection values of more than one and a P value of less than 0.05 were marked as significant differences. Results: A set of metabolites were detected, and 24 significantly differentially expressed metabolites were found between the metacyclic forms of L. major and L. tropica isolates. The top differential metabolites were methionine, aspartate, betaine, and acetylcarnitine, which were increased more in L. tropica than L. major (P<0.005), whereas asparagine, 3-hydroxybutyrate, L-proline, and kynurenine were increased significantly in L. major (P<0.01). The significantly altered metabolites were involved in eight metabolic pathways. Conclusion: Metabolomics, as an invaluable technique, yielded significant metabolites, and their biochemical pathways related to the metacyclic promastigotes of L. major and L. tropica. The findings offer greater insights into parasite biology and how pathogens adapt to their hosts.

Biological properties the novel application of N-trimethyl chitosan nanospheres as a stabilizer and preservative in tetanus vaccine

Purpose@#Chitosan is a natural polymer that has excellent properties include biocompatibility, biodegradability, no cytotoxicity, high charge density, low cost, mucoadhesive, permeation enhancing (ability to cross tight junction), and immunomodulating ability that makes the spectrum of its applicability much broader. This study was conducted to investigate the stabilizing, preservative and immunogenicity properties of N-trimethyl chitosan nanospheres (N-TMCNS). @*Materials and Methods@#The tetanus toxoid (TT) was encapsulated into N-TMCNS and then characterized by scanning electron microscope, atomic force microscope, and dynamic light scattering. For stabilizer assay of N-TMCNS after storage of TT-N-TMCNS at different temperatures for 3 weeks, they were used for immunization of mice and different temperatures groups’ anti-TT-N-TMCNS production compared with other groups. Finally, the immunized mice were challenged with tetanus toxin. The preservation activity of TT-N-TMCNS against Escherichia coli was compared with thimerosal formulated TT. @*Results@#Our results revealed that heat-treated TT-N-TMCNS could induce higher titer of neutralizing immunoglobulin G in compared to TT vaccine and was able to protect the mice better than TT vaccine in challenge test. Furthermore, N-TMCNS as a preservative inhibited the growth of E. coli more effective than thimerosal. @*Conclusion@#Overall, the obtained results indicated that the N-TMCNS is one of the best stabilizer and preservative agent that can be used in the formulation of TT vaccine.

Au-decorated BN nanotube as a breathalyzer for potential medical applications.

Respiratory viral infections such as coronavirus (COVID-19) will cause a great mortality, especially in people who underly lung diseases such as chronic obstructive pulmonary and asthma. Very recently, the COVID-19 outbreak has exposed the lack of quick approaches for screening people who may have risen risk of pathogen contact. One proposed non-invasive potential approach to recognize the viral infection is analysis of exhaled gases. It has been indicated that the nitric oxide is one of most important biomarkers which might be emanated by respiratory epithelial cells. Using density functional theory calculations, here, we introduced a novel Au-decorated BN nanotube-based breathalyzer for probable recognition of NO gas released from the respiratory epithelial cells in the presence of interfering CO2 and H2O gases. This breathalyzer benefits from different advantages including high sensitivity (sensing response = 101.5), high selectivity, portability, short recovery time (1.8 µs at 298 K), and low cost.

Multi-chain Fudan-CCDC model for COVID-19 in Iran

BackgroundCOVID-19 has been deeply affecting peoples lives all over the world. It is significant for prevention and control to model the evolution effectively and efficiently. MethodsWe first propose the multi-chain Fudan-CCDC model which is based on the original Fudan-CCDC model to describe the revival of COVID-19 in some countries. Multi-chains are considered as the superposition of distinctive single chains. Parameter identification is carried out by minimizing the penalty function. ResultsFrom results of numerical simulations, the multi-chain model performs well on data fitting and reasonably interprets the revival phenomena. The band of {+/-}25% fluctuation of simulation results could contain most seemly unsteady increments. ConclusionThe multi-chain model has better performance on data fitting in revival situations compared with the single-chain model. It is predicted by the three-chain model with data by Apr 21 that the epidemic curve of Iran would level off on round May 10, and the final cumulative confirmed cases would be around 88820. The upper bound of the 95% confidence interval would be around 96000.

The influence of Stone-Wales defects in nanographene on the performance of Na-ion batteries.

The effect of the Stone-Wales (SW) defect on the energetic, structural, electronic properties of Na/Na+ adsorption on the Hexa-peri-hexabenzocoronene (HBC) nanographene is investigated using density functional theory calculations. We showed that two kinds of SW defects can be generated in the structure of HBC, and the defected sheets are less stable than the intrinsic HBC by about 63.2-65.3 kcal/mol. The heptagonal ring of SW defect is the most favorable site for the Na and Na+ adsorption and the adsorption energies increase from -0.8 and -33.2 kcal/mol on the intrinsic HBC to -16.7 and -39.3 kcal/mol on the SW-HBC, respectively. The predicted energy barrier for an Na atom to move from a heptagonal ring to another one in the SW-HBC is about 4.9 kcal/mol, indicating a high ion mobility compared to the pristine HBC. The SW defect increases the Na diffusion coefficient from 3.46 × 10-11 to 2.83 × 10-6 cm2/s. Although the SW defect increases the ion mobility, it has an undesirable effect on the cell voltage, if a HBC nanographene is used in the anode of Na-ion batteries.

Modeling and Forecasting Trend of COVID-19 Epidemic in Iran

BackgroundCOVID-19 is an emerging disease and precise data are not available in the world and Iran. this study aimed to determine the epidemic trend and prediction of COVID-19 in Iran. MethodsThis study is a secondary data analysis and modeling. We used the daily reports of definitive COVID-19 patients (sampling of severe cases and hospitalization) released by Iran Ministry of Health and Medical Education. Epidemic projection models of Gompertz, Von Bertalanffy and least squared error (LSE) were used to predict the number of cases at April 3, 2020 until May 13, 2020. ResultsR0 in Iran was estimated to be 4.7 that has now fallen to below 2. Given the three different scenarios, the prediction of the patients on April 3, 2020 by Von Bertalanffy, Gompertz and LSE were estimated at 48200, 52500 and 58000, respectively. The number of deceased COVID-19 patients was also estimated to be 3600 individuals using the Von growth model, 4200 ones by Gompertzs model and 4850 ones according to the LSE method. To predict and estimate the number of patients and deaths in the end of epidemic based on Von and Gompertz models, we will have 87000 cases, 4900 and 11000 deaths until 13 May and 1 June, respectively. ConclusionThe process of controlling the epidemic is tangible. If enforcement and public behavior interventions continue with current trends, the control and reduction of the COVID-19 epidemic in Iran will be flat from April 28, until July, 2020 and new cases are expected to decline from the following Iranian new year. O_TEXTBOX{uparrow}What is "already known" in this topicCOVID-19 is an emerging disease, pandemic and precise data on its epidemic are not available in the world and Iran. [->]What this article addsthis study is shown, If enforcement and public behavior interventions continue with current trends, the control and reduction of the COVID-19 epidemic in Iran will be flat from April 28, until July, 2020. C_TEXTBOX

A Therapeutic Oral Vaccine Candidate against Propionibacterium acnes: Preparation and Immunological Evaluation of Nanoparticles Encapsulated Sialidase-CAMP Fusion Protein

Abstract Acne Vulgaris is a common skin disease caused by Propionibacterium acnes, an anaerobic microbiota of human skin that plays a vital role in the pathology of acne. The aim of this study was to prepare nanoparticles containing an acne recombinant protein and determine its ability as an oral acne vaccine in mice. The recombinant Sialidase-CAMP gene was expressed and purified in a prokaryotic host. The chitosan nanoparticles containing the recombinant protein were prepared, encapsulated, and administered by both oral and subcutaneous routes to Balb/c mice. Sera IgA and IgG and stool IgA titers were measured by ELISA, and the immunized mice were challenged against P. acnes. A 65 kDa recombinant protein was confirmed by SDS-PAGE and western blot. The size and zeta potential of nanoparticles were 80 nm and +18 mV, respectively. After oral immunization, the serum IgG and IgA titers were 1:3200 and 1:16, respectively, and the stool IgA titer was 1:8. In the subcutaneous route, the serum IgG titer was 1:51200. Immunized mice showed no inflammation in the ear of challenged mice. It is the first study that examines a chitosan-nanoparticulated acne fusion protein as an applicable acne vaccine candidate with appropriate immunogenicity potential. Further studies are required to validate the clinical usefulness of this vaccine candidate.

Evaluation of gene expression change in eosinophilic gastroenteritis.

AIM: Screening differentially expressed genes (DEGs) related to Eosinophilic gastroenteritis (EG) to introduce possible biomarkers. BACKGROUND: EG as a rare gastrointestinal disorder is characterized with gastrointestinal bleeding, crampy generalized abdominal pain, diarrhea, nausea, vomiting, and weight loss. In this study gene expression profile of patients is analysis via protein-protein interaction (PPI) analysis to reveal new prospective of disease. METHODS: Top significant genes of gene expression profiles of 5 gastric antrum EG patients and 5gastric antrum control from GEO which were matched via boxplot analysis were screened via PPI network by using Cytoscape software and STRING database. Numbers of 20 top nodes of query DEGs based on degree value were introduced as central nodes which 7 critical central genes among them were identified. Gene ontology enrichment for the 20 central genes was done by using CluGO. Action map for the central genes was performed by applying CluePedia. RESULTS: Among 20 central nodes, TXN, PRDX2, NR3C1, GRB2, PIK3C3, AP2B1 and REPS1 were recognized as critical central genes. Nine biological terms were determined that most of them were involved in the transport processes. CONCLUSION: The introduced possible biomarkers can be used in the differential diagnosis of the disease and also in treatment of disorder.

Introducing Critical Pain-related Genes: A System Biology Approach.

INTRODUCTION: Pain is valuable in diagnosis and also warning of the patients. Many molecular reagents are introduced which are related to pain. In this research, the pain-related genes are screened to identify the critical ones. METHODS: First, the pain-related genes were pulling out from the STRING database, and Cytoscape software was used to make the interactome unit. Then the central genes and their neighbors were analyzed. Finally, the genes were clustered, and the essential genes were introduced. RESULTS: After analyzing 159 genes of the network, FOS, IL6, TNF, TAC1, IL8, and KNG1 were identified as the essential genes. Further analysis revealed that 88 genes are directly connected to the central genes. More resolution led to ignoring TNF and IL8 and considering SCN-alpha and PAICS as additional critical nodes. CONCLUSION: Six critical genes related to pain were identified. They can be potentially considered as new drug targets. Further investigation is required to introduce the central genes as a pain killer.

Barrett's esophagus transits to a cancer condition via potential biomarkers.

AIM: In this study, the transcriptome profile of Barrett's esophagus (BE) was examined for identification potential related biomarkers in view of interacting charactering. BACKGROUND: Since BE is known as a precursor of esophageal cancer, the molecular studies of this condition could be essential. METHODS: Gene expression data of BE in comparison with normal cases, GSE34619 was retrieved from Gene Expression Omnibus. Differentially expressed genes (DEGs) were determined applying GEO2R online software. The DEGs then were analyzed in terms of centrality properties via constructing an interaction network. RESULTS: The data indicate that there are two sets of hub-bottlenecks panels with distinguishable values in BE. The first group shows that BE is very susceptible to develop cancer, and the second one implied on central characteristic of some DEGs as previously were also reported for BE pathogenicity. In addition, these genes are also implicated in cancer shift from certain conditions. CONCLUSION: On the whole, taking together these findings explain and support the cancerous origin of BE and introduced a panel of nominated biomarkers that could be more specific for BE rather than other types of esophageal problems. However, a complementary study to support this claim is suggested.

Protein-Protein Interaction Analysis of Common Top Genes in Obsessive-Compulsive Disorder (OCD) and Schizophrenia: Towards New Drug Approach Obsessive-Compulsive disorder (OCD) and Schizophrenia Comorbidity Gene Analysis.

Comorbidty is common among psychiatric disorders including obsessive-compulsive disorder and schizophrenia with a high rate. Many studies suggested that the disorders may have same etiological bases. In this regard, shared pathways of glutamate, dopaminergic, and serotonin are the known ones. Here, the common significant genes are examined to understand the possible molecular origin of the disorders in terms of sequence and functional features. Exploring the underling mechanisms of OCD and schizophrenia is important to achieve a better treatment options. Methods of Cytoscape software following R statistical software were applied for this purpose. Needleman-Wunsch global alignment algorithm was used to determine pair-wise similarities followed by clustering methods, AGNES and PAM in R statistical programming software. The results indicate that SLC1A1, DRD2, DRD4, BDNF, ESR1, CDH2, GRIN2B, TNFa, GABBR1, and OLIG2 are significantly common for the two disorders and PPI network analysis showed the important key genes in the interaction profile. ESR1 (estrogen receptor α) as a key hub-bottleneck gene regulates many underling mechanisms of the brain. Application of global alignments indicates some of the genes with sequence similarities also elucidate similar biological terms.

Multivalent calix[4]arene-based fluorescent sensor for detecting silver ions in aqueous media and physiological environment.

A new derivative of dipodal 1,3-calix[4]arene-based chemosensor (R), which was containing several binding sites have been synthesized and characterized by NMR, IR and LC-MS spectroscopic methods. The selectivity of Rhas been investigated in aqueous methanol, resulting in fluorescence shift and selective recognition of Ag+ among 20 various alkali, alkaline earth and transition metal ions. Microstructural features of R and its complex with Ag+have been investigated by Atomic Force Microscopy (AFM). AFM images can clearly differentiate R from its complex of Ag+. Moreover; the complicated binding mode of metal-ligand complex has been explored by UV-Vis, LC-MS, FIR, Fluorescence titration, Job's plot method and theoretical approaches. Density functional theory (DFT) method at B3LYP/LANL2DZ level of theory was employed for computational studies. Theoretical calculations revealed that selectivity and specificity of R toward Ag+ could be attributed to structural conformation of 1,3-alternate-calix[4]arene scaffold and molecular electrostatic potential of its surface. Furthermore; the competitive experiments were carried out to test sensor's ability for practical uses. Finally, the efficiency of R in matrix of physiological cations was examined and showed gradual emission enhancement which makes R an ideal candidate for monitoring of Ag+ in physiological environment.