Highlights•Hyperspectral imaging, conjointly novel algorithms, can help arsenic
detection.•RS imagery integrated with AI/ML & aquifer attributes can predict …

The main aim of this review is to provide an extensive summary of the latest advances within
the emerging research area focused on detecting heavy metal ion pollution, particularly …

In this article, a new off-mode fluorescent platform based on the metal-organic framework
(MOF) is introduced as a highly selective and rapid chemical sensor for the detection of As …

Our study aimed to conduct a comprehensive biochemical profiling and metabolomics
analysis to investigate the effects of arsenic-induced metabolic disorders, with a specific …

A novel cloud-point extraction (CPE) procedure for the determination of ultra-trace amounts
of arsenic species in real samples, purchased from the local market by spectrophotometer …

A simple and rapid microprecipitation procedure was developed using copper (Cu 2+) as
precipitating agent for the separation–preconcentration of inorganic arsenic species (As (III) …

Abstract Background Exposure to arsenic (As) is a major public health challenge worldwide.
Chronic exposure to As can cause various human health effects, including skin diseases …

Heavy metals are found naturally; however, anthropogenic activities such as mining,
inappropriate disposal of industrial waste, and the use of pesticides and fertilizers containing …

Antibiotics have emerged as ground-breaking medications for the treatment of infectious
diseases, but due to the excessive use of antibiotics, some drugs have developed resistance …

Heavy metal (loid) s pose a concern that has drawn significant attention on a worldwide
scale due to their persistence, toxicity, and bioaccumulation. For instance, research …