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Advances in aggregation induced emission (AIE) materials in biosensing and imaging of bacteria.
Maruthi, Mulaka; Kalangi, Suresh K.
  • Maruthi M; Department of Biochemistry, Central University of Haryana, Mahendergarh, India.
  • Kalangi SK; Amity Stem cell Institute, Amity Medical School, Amity University Haryana, Amity Education Valley Pachgaon, Gurugram, India. Electronic address: skkalangi@ggn.amity.edu.
Prog Mol Biol Transl Sci ; 184: 61-79, 2021.
Article in English | MEDLINE | ID: covidwho-1321942
ABSTRACT
With their ubiquitous nature, bacteria have had a significant impact on human health and evolution. Though as commensals residing in/on our bodies several bacterial communities support our health in many ways, bacteria remain one of the major causes of infectious diseases that plague the human world. Adding to this, emergence of antibiotic resistant strains limited the use of available antibiotics. The current available techniques to prevent and control such infections remain insufficient. This has been proven during one of greatest pandemic of our generation, COVID-19. It has been observed that bacterial coinfections were predominantly observed in COVID-19 patients, despite antibiotic treatment. Such higher rates of coinfections in critical patients even after antibiotic treatment is a matter of concern. Owing to many reasons across the world drug resistance in bacteria is posing a major problem i. According to Center for Disease control (CDC) antibiotic report threats (AR), 2019 more than 2.8 million antibiotic resistant cases were reported, and more than 35,000 were dead among them in USA alone. In both normal and pandemic conditions, failure of identifying infectious agent has played a major role. This strongly prompts the need to improve upon the existing techniques to not just effective identification of an unknown bacterium, but also to discriminate normal Vs drug resistant strains. New techniques based on Aggregation Induced Emission (AIE) are not only simple and rapid but also have high accuracy to visualize infection and differentiate many strains of bacteria based on biomolecular variations which has been discussed in this chapter.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Prog Mol Biol Transl Sci Journal subject: Molecular Biology Year: 2021 Document Type: Article Affiliation country: Bs.pmbts.2021.06.015

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Prog Mol Biol Transl Sci Journal subject: Molecular Biology Year: 2021 Document Type: Article Affiliation country: Bs.pmbts.2021.06.015