CQHC, a novel colorimetric fluorescent sensor, developed for the selective sensing of ions and well characterised, including SC-XRD. It demonstrated selective sensing for Co, Zn, Hg and F using absorbance titration at 420 nm, 446 nm and the binding constants estimated follows the order F > Co > Hg > Zn. On light of this, molecular logic gate was built for CQHC's selective multi-ion detection.
View Article and Find Full Text PDFBackground: Artificial Intelligence (AI) technologies are now essential as the agenda of nutrition research expands its scope to look at the intricate connection between food and health in both an individual and a community context. AI also helps in tracing and offering solutions in dietary assessment, personalized and clinical nutrition, as well as disease prediction and management, such as cardiovascular diseases, diabetes, cancer, and obesity. This review aims to investigate and assess the different applications and roles of AI in nutrition and research and understand its potential future impact.
View Article and Find Full Text PDFRegional sea level rise has been regarded a key factor in understanding of climate change impact to coastal communities. As a vulnerable island to sea level rise and storm surges, the province of Prince Edward Island (PEI) in Canada lacks sufficient long-term island-wide historic record of sea level data. This has become a major challenge for further studies on coastal environments and climate change adaptation.
View Article and Find Full Text PDFThe color masking ability of resin infiltration (RI) and curodont repair fluoride plus-self-assembling peptide (CRFP-SAP) was investigated under various simulated oral challenging conditions. Sixty-four extracted caries-free human canines were randomly divided into two groups: Group 1 (RI) and Group 2 (CRFP-SAP). The baseline color values of samples were recorded using a spectrophotometer (VITA Easyshade Advance 4.
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