Journal
ARCHIVES OF MICROBIOLOGY
Volume 203, Issue 7, Pages 3767-3784Publisher
SPRINGER
DOI: 10.1007/s00203-021-02357-9
Keywords
Lateral flow immunoassay; Sandwich assay method; Gold nanoparticles; Bacterial infection; Analytes
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Funding
- Science and Engineering Board 24 (DST), India [YSS/2015/001330]
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The diagnosis of bacterial infections (BI) is increasingly challenging due to antibiotic resistance, with lateral flow immunoassay (LFIA) technology, particularly using gold nanoparticles (AuNPs), playing a significant role in the efficient detection of BI through their chemical stability and signal amplification properties.
Diagnosis of bacterial infections (BI) is becoming an increasingly difficult task in clinical practice due to their high prevalence and frequency, as well as the growth of antibiotic resistance worldwide. World Health Organization (WHO) reported antibiotic resistance is a major public health problem. BI becomes difficult or impossible to treat when the bacteria acquire immunity against antibiotics. Thus, there is a need for a quick and accurate technique to detect infection. Lateral flow immunoassay (LFIA) is an ideal technique for point-of-care testing of a disease or pathological changes inside the human body. In recent years, several LFIA based strips are being used for the detection of BI by targeting specific analytes which may range from the causative bacterium, whole-cell, DNA, or biomarker. Numerous nanoparticles like lipid-based nanoparticles, polymeric nanoparticles, and inorganic nanoparticles such as quantum dots, magnetic, ceramic, and metallic nanoparticles (copper, silver gold, iron) are widely being used in the advanced treatment of BI. Out of these gold nanoparticle (AuNPs), is being used for detection BI more effectively than other nanoparticles due to their surface functionalization, extraordinary chemical stability, biorecognition, and signal amplification properties and help to improve in conjugation with capture antibodies, and act as a color marker with unique optical properties on LFIA strips. Herein, a review that provides an overview of the principle of LFIA, how LFIA based strip is developed, and how it is helpful to detect a specific biomarker for bedside detection of the BI.
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