Recent progress in tannin and lignin blended metal oxides and metal sulfides as smart materials for electrochemical sensor applications

Our technologically advanced civilization has made sensors an essential component. They have potential uses in the pharmaceutical sector, clinical analysis, food quality control, environmental monitoring, and other areas. One of the most active fields of analytical chemistry research is the fabrication of electrochemical sensors. An intriguing area of electroanalytical chemistry is the modification of electrodes using polymeric films. Due to their benefits, which include high adhesion to the electrode surface, chemical stability of the coating, superior selectivity, sensitivity, and homogeneity in electrochemical deposition, polymer-modified electrodes have attracted a great deal of interest in the electroanalytical sector. Conducting polymers are an important material for sensing devices because of their fascinating features, which include high mechanical flexibility, electrical conductivity, and the capacity to be electrochemically converted between electronically insulating and conducting states. Tannin or lignin nanomaterials can be an inter-linker leading to flexible and functional polymeric networks. There is a continuing demand for fast and simple analytical methods for the determination of many clinically important biomarkers, food additives, environmental pollutants etc. This review in a comprehensive way summarizes and discusses the various metal oxide and sulfide-incorporated tannin and lignin scaffolds using electrochemical sensing and biosensing.

Lawsonia inermis-organically modified chitosan intercalated bentonite clay: A multifunctional nanotheranostic system for controlled drug delivery, sensing and cellular imaging

This study presents the development of organo-bentonites (OBs); a cost-effective drug delivery system holding both sensing and imaging capabilities. The OBs were synthesized using quaternary ammonium cations derived from chitosan, Lawsonia inermis, and pyrene/anthracene carboxaldehyde combinations through a three-step process: Mannich reaction, quaternization, and intercalation. Physicochemical characterization confirms the organic modification of bentonite. The OBs: NQPB and NQAB hold substantial ciprofloxacin (Cipro) loading capacities (71.51 % and 78.04 %, respectively) and exhibit pH-dependent release profiles, suggesting their potential use as drug delivery platforms. Cell viability evaluation by MTT and live-dead assays indicates favourable results. Both OBs demonstrate fluorescence within the 450-500 nm range, and they display concentration-dependent fluorescence quenching and enhancement for NQPB and NQAB, respectively, in the presence of tryptophan (Trp), making them suitable for its detection. Confocal analysis further enunciates the live intracellular fluorescence upon OB uptake. In summary, the intrinsically fluorescent mesoporous OBs synthesized from Lawsonia inermis and chitosan exhibit multifunctionality, including Cipro delivery, Trp sensing, and live cell imaging. Among the OBs, NQAB could be considered as a promising theranostic platform owing to its superior cytocompatibility (>80 %), appreciable fluorescence, and controlled release profile.

Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing

OBJECTIVES

Mpox has been declared a Public Health Emergency of International Concern by the World Health Organization on July 23, 2022. Since early May 2022, Mpox has been continuously reported in several endemic countries with alarming death rates. This led to several discussions and deliberations on the Mpox virus among the general public through social media and platforms such as health forums. This study proposes natural language processing techniques such as topic modeling to unearth the general public's perspectives and sentiments on growing Mpox cases worldwide.

STUDY DESIGN

This was a detailed qualitative study using natural language processing on the user-generated comments from social media.

METHODS

A detailed analysis using topic modeling and sentiment analysis on Reddit comments (n = 289,073) that were posted between June 1 and August 5, 2022, was conducted. While the topic modeling was used to infer major themes related to the health emergency and user concerns, the sentiment analysis was conducted to see how the general public responded to different aspects of the outbreak.

RESULTS

The results revealed several interesting and useful themes, such as Mpox symptoms, Mpox transmission, international travel, government interventions, and homophobia from the user-generated contents. The results further confirm that there are many stigmas and fear of the unknown nature of the Mpox virus, which is prevalent in almost all topics and themes unearthed.

CONCLUSIONS

Analyzing public discourse and sentiments toward health emergencies and disease outbreaks is highly important. The insights that could be leveraged from the user-generated comments from public forums such as social media may be important for community health intervention programs and infodemiology researchers. The findings from this study effectively analyzed the public perceptions that may enable quantifying the effectiveness of measures imposed by governmental administrations. The themes unearthed may also benefit health policy researchers and decision-makers to make informed and data-driven decisions.

Primary Pancreatic Squamous Cell Carcinoma: An Incidental Diagnosis of a Rare Entity

Primary Squamous Cell Carcinoma (SCC) of pancreas is a non endocrine tumour showing ductal origin which accounts for approximately 0.5-2% of all malignant pancreatic tumours. Diagnosis is usually made by tissue sampling followed by comprehensive search for primary SCC elsewhere. Hereby, authors report a rare case of primary pancreatic SCC in a young female. A 46-year-old female with history of type 2 diabetes mellitus presented with abdominal pain radiating to back associated with biliary vomiting since five months. Laboratory investigations revealed mild anaemia, neutrophilic leucocytosis and elevated blood glucose. Carcinoembryonic Antigen (CEA) and Cancer Antigen 19-9 (CA 19-9) were within normal limits. Contrast-Enhanced Computed Tomography (CECT) (abdomen and pelvis) showed pancreatic atrophy, multiple stones in head and body along with a pseudocyst in tail of pancreas. Patient underwent triple phase Magnetic Resonance Imaging (MRI) with Magnetic Resonance Cholangiopancreatography (MRCP) which showed chronic pancreatitis with intraductal calculi in the head and distal body region with pseudocyst at tail region. Frey’s procedure was done and tissue sent in multiple pieces. Histopathology revealed features of infiltrating SCC in a background of atrophic pancreas. Immunohistochemistry for CK5/6, P63 and CEA was done for confirmation. It showed strong positivity for CK5/6 and P63, while CEA was negative. Final diagnosis of SCC of pancreas in a background of atrophic pancreas was rendered. Though pancreas is devoid of squamous cells, it is not uncommon to find squamous metaplasia of ductal epithelial cells secondary to chronic inflammation. In the present case, though clinical and radiological features points towards benign lesion, definite diagnosis as SCC is justified by histopathology and immunohistochemistry. Because of the rarity, diagnosis and treatment still remains a challenge.

Identification and characterization of spatio-temporal hotspots of forest fires in South Asia

Forest fire is considered as one of the major threats to global biodiversity and a significant source of greenhouse gas emissions. Rising temperatures, weather conditions, and topography promote the incidences of fire due to human ignition in South Asia. Because of its synoptic, multi-spectral, and multi-temporal nature, remote sensing data can be a state of art technology for forest fire management. This study focuses on the spatio-temporal patterns of forest fires and identifying hotspots using the novel geospatial technique "emerging hotspot analysis tool" in South Asia. Daily MODIS active fire locations data of 15 years (2003-2017) has been aggregated in order to characterize fire frequency, fire density, and hotspots. A total of 522,348 active fire points have been used to analyze risk of fires across the forest types. Maximum number of forest fires in South Asia was occurring during the January to May. Spatial analysis identified areas of frequent burning and high fire density in South Asian countries. In South Asia, 51% of forest grid cells were affected by fires in 15 years. Highest number of fire incidences was recorded in tropical moist deciduous forest and tropical dry deciduous forest. The emerging hotspots analysis indicates prevalence of sporadic hotspots, followed by historical hotspots, consecutive hotspots, and persistent hotspots in South Asia. Of the seven South Asian countries, Bangladesh has highest emerging hotspot area (34.2%) in forests, followed by 32.2% in India and 29.5% in Nepal. Study results offer critical insights in delineation of fire vulnerable forest landscapes which will stand as a valuable input for strengthening management of fires in South Asia.

Identification of endophytic Bacillus mojavensis with highly specialized broad spectrum antibacterial activity

Biosynthetic adaptation of endophytic bacteria to chemically support host plant is very remarkable. Hence these organisms from medicinal plants are considered as highly valuable sources for natural products with diverse bioactivity. Their metabolite diversity and biosynthetic versatility have been increasingly explored for drug discovery. In this study, an endophytic Bacillus mojavensis with broad spectrum antibacterial properties has been analyzed for the chemical basis of its activity. By LC-MS/MS the organism was identified to have the biosynthetic ability to produce lipopeptides surfactin and fengycin. The impressive antibacterial activity of B. mojavensis as reported in the study indicates its broad antimicrobial applications.