Ternary nanocomposite-based smart sensor: Reduced graphene oxide/polydopamine/alanine nanocomposite for simultaneous electrochemical detection of Cd2+, Pb2+, Fe2+, and Cu2+ ions.

Heavy metal ion (HMI) sensors are the most sought commercial devices for environmental monitoring and food analysis research due to serious health concerns associated with HMI overdosage. Herein, we developed an effective electrochemical sensor for simultaneous detection of four HMI (Cd2+, Pb2+, Fe2+, and Cu2+) using a ternary nanocomposite of reduced graphene oxide functionalized with polydopamine and alanine (ALA/pDA/rGO). Comprehensive spectroscopic and microscopic characterizations were performed to ensure the formation of the ternary nanocomposite. The developed nanocomposite on glassy carbon electrode (GCE) yields >2-fold higher current than GO/GCE electrode with excellent electrochemical stability and charge transfer rate. Using DPV, various chemical and electrochemical parameters, such as supporting electrolyte, buffer pH, metal deposition time, and potential, were optimized to achieve highly sensitive detection of targeted HMI. For Cd2+, Pb2+, Fe2+, and Cu2+ sensing devised sensor exhibited detection limits of 1.46, 2.86, 50.23, and 17.95 ppb and sensitivity of 0.0929, 0.0744, 0.0051, and 0.0394 µA/ppb, respectively, with <6% interference. The sensor worked similarly well for real water samples with HMI. This study demonstrates a novel strategy for concurrently detecting and quantifying multiple HMI in water and soil using a smart ternary nanocomposite-based electrochemical sensor, which can also detect HMI in food samples.

Impact of myoinositol with metformin and myoinositol alone in infertile PCOS women undergoing ovulation induction cycles - randomized controlled trial.

PURPOSE: To evaluate the benefits of myoinositol plus metformin versus myoinositol alone in infertile polycystic ovarian syndrome (PCOS) women undergoing ovulation induction cycles. MATERIALS AND METHODS: Total 116 infertile PCOS women were randomized: Group I (n = 57): metformin (1500 mg) plus myoinositol (4 g) per day; Group II (n=59): myoinositol 4 g per day. Subjects were advised to try for spontaneous conception. Those who did not conceive after three months were given three cycles of ovulation induction. Primary outcome was clinical pregnancy rate after 6 months. Secondary outcomes were improvement in metabolic and endocrine parameters, ongoing pregnancy, abortion and multiple pregnancy rate. RESULTS: Baseline demographic, metabolic and hormonal parameters were comparable in two groups. After 3 months of therapy, both study groups had comparable improvement in metabolic and hormonal parameters. After 6 months, clinical pregnancy rate was 42.0% in Group I and 45.5% Group II respectively (RR 0.92(95% CI:0.60-1.43) (p > .05). Side-effects (mainly gastrointestinal) were significantly higher in Group I than group II. CONCLUSIONS: Myoinositol (4 g) might be used alone as an insulin sensitizer to improve metabolic, hormonal and reproductive outcome in infertile PCOS women. Further studies with large numbers are warranted to confirm the role of myoinostiol as a sole insulin sensitizer.

Smart Nanofibrous Hydrogel Wound Dressings for Dynamic Infection Diagnosis and Control: Soft but Functionally Rigid.

Chronic wounds, such as burns and diabetic foot ulcers, pose significant challenges to global healthcare systems due to prolonged hospitalization and increased costs attributed to susceptibility to bacterial infections. The conventional use of antibiotic-loaded and metal-impregnated dressings exacerbates concerns related to multidrug resistance and skin argyrosis. In response to these challenges, our research introduces a unique approach utilizing antibiotic-free smart hydrogel wound dressings with integrated infection eradication and diagnostic capabilities. Electrospinning stands out as a method capable of producing hydrogel nanofibrous materials possessing favorable characteristics for treating wounds and detecting infections under conditions utilizing sustainable materials. In this study, innovative dressings are fabricated through electrospinning polycaprolactone (PCL)/gelatin (GEL) hybrid hydrogel nanofibers, incorporating pDA as a cross-linker, εPL as a broad-spectrum antimicrobial agent, and anthocyanin as a pH-responsive probe. The developed dressings demonstrate exceptional antioxidant (>90% radical scavenging) and antimicrobial properties (95-100% killing). The inclusion of polyphenols/flavonoids and εPL leads to absolute bacterial eradication, and in vitro assessments using HaCaT cells indicate increased cell proliferation, decreased reactive oxygen species (ROS) production, and enhanced cell viability (100% Cell viability). The dressings display notable alterations in color that correspond to different wound conditions. Specifically, they exhibit a red/violet hue under healthy wound conditions (pH 4-6.5) and a green/blue color under unhealthy wound conditions (pH > 6.5). These distinctive color changes provide valuable insights into the versatile applications of the dressings in the care and management of wounds. Our findings suggest that these antibiotic-free smart hydrogel wound dressings hold promise as an effective and sustainable solution for chronic wounds, providing simultaneous infection control and diagnostic monitoring. This research contributes to advancing the field of wound care, offering a potential paradigm shift in the development of next-generation wound dressings.

Serum Anti-Mullerian Hormone (AMH) Levels Among Different PCOS Phenotypes and Its Correlation with Clinical, Endocrine, and Metabolic Markers of PCOS.

Anti-Mullerian hormone (AMH) is one of the direct indicators of follicular pool but no standard cutoff has been defined for diagnosis of polycystic ovary syndrome (PCOS). The present study evaluated the serum AMH levels among different PCOS phenotypes and correlated the AMH levels with clinical, hormonal, and metabolic parameters among Indian PCOS women. Mean serum AMH was 12.39 ± 5.3ng/mL in PCOS cohort and 3.83 ± 1.5 ng/mL in non-PCOS cohort (P < 0.01). Out of 608 PCOS women, 273 (44.9%) women belonged to phenotype A, 230 (37.8%) women were phenotype D. Phenotypes C and B were 12.17% and 5.10% respectively. Among those with the highest AMH group (AMH>20ng/ml; 8.05%), majority belonged to phenotype A. Menstrual cycle length, serum testosterone, fasting total cholesterol levels, and follicle number per ovary had positive correlation with serum anti-Mullerian levels (P < 0.05). AMH cutoff for the diagnosis of PCOS was calculated as ≥ 6.06 ng/mL on ROC analysis with sensitivity and specificity of 91.45% and 90.71% respectively. The study shows high serum AMH levels in PCOS are associated with worse clinical, endocrinological, and metabolic parameters. These levels may be used to counsel patients regarding treatment response, help in individualized management and prediction of reproductive and long-term metabolic outcomes.

2D Materials-Based Aptamer Biosensors: Present Status and Way Forward.

Current advances in constructing functional nanomaterials and elegantly designed nanostructures have opened up new possibilities for the fabrication of viable field biosensors. Two-dimensional materials (2DMs) have fascinated much attention due to their chemical, optical, physicochemical, and electronic properties. They are ultrathin nanomaterials with unique properties such as high surface-to-volume ratio, surface charge, shape, high anisotropy, and adjustable chemical functionality. 2DMs such as graphene-based 2D materials, Silicate clays, layered double hydroxides (LDHs), MXenes, transition metal dichalcogenides (TMDs), and transition metal oxides (TMOs) offer intensified physicochemical and biological functionality and have proven to be very promising candidates for biological applications and technologies. 2DMs have a multivalent structure that can easily bind to single-stranded DNA/RNA (aptamers) through covalent, non-covalent, hydrogen bond, and π-stacking interactions, whereas aptamers have a small size, excellent chemical stability, and low immunogenicity with high affinity and specificity. This review discussed the potential of various 2D material-based aptasensor for diagnostic applications, e.g., protein detection, environmental monitoring, pathogens detection, etc.

Development of copper impregnated bio-inspired hydrophobic antibacterial nanocoatings for textiles.

Due to their bactericidal and fluid repellent capabilities, antimicrobial textiles with hydrophobic properties have aroused a lot of interest in healthcare, hygiene, air purifiers, water purification systems, food packaging, and other domains. Silver and silver-derived compounds have long been employed in antimicrobial coatings; nevertheless, they are costly, limiting their widespread use. In this work, we combined mussel-inspired polydopamine (pDA) coating chemistry with graphene oxide (GO) and antimicrobial copper compounds (Cu(NO3)2, CuCl2, Cu nanoparticles (CuNPs), and Cu-Carbon nanofibers (Cu-CNF)) to create hydrophobic antimicrobial nanocoatings on cotton fabric. The structural, morphological, wettability, and antibacterial characteristics of the produced coatings were evaluated. The fabric coated with Cu(NO3)2 and CuNPs had good hydrophobicity, which was stabilized for 30 min following GO integration. The coated fabric with GO and CuNPs showed 100% bacterial inhibition for S. aureus and a 99.995% reduction for P. aeruginosa bacteria. Overall, this bioinspired approach to developing antimicrobial coatings on fabric utilizing Cu(NO3)2 and CuNPs with GO shows a lot of promise in preventing the transmission of bacterial and viral infections through contaminated garments and has potential in designing clothing for healthcare settings such as PPEs, gowns, aprons, face mask filters, curtains, and so on.