| Literature DB >> 36078284 |
Asma Nadia Ahmad Faris1, Mohamad Ahmad Najib1, Muhammad Najmi Mohd Nazri1, Amir Syahir Amir Hamzah2, Ismail Aziah1, Nik Yusnoraini Yusof1, Rohimah Mohamud3, Irneza Ismail4, Fatin Hamimi Mustafa1.
Abstract
Water- and food-related health issues have received a lot of attention recently because food-poisoning bacteria, in particular, are becoming serious threats to human health. Currently, techniques used to detect these bacteria are time-consuming and laborious. To overcome these challenges, the colorimetric strategy is attractive because it provides simple, rapid and accurate sensing for the detection of Salmonella spp. bacteria. The aim of this study is to review the progress regarding the colorimetric method of nucleic acid for Salmonella detection. A literature search was conducted using three databases (PubMed, Scopus and ScienceDirect). Of the 88 studies identified in our search, 15 were included for further analysis. Salmonella bacteria from different species, such as S. Typhimurium, S. Enteritidis, S. Typhi and S. Paratyphi A, were identified using the colorimetric method. The limit of detection (LoD) was evaluated in two types of concentrations, which were colony-forming unit (CFU) and CFU per mL. The majority of the studies used spiked samples (53%) rather than real samples (33%) to determine the LoDs. More research is needed to assess the sensitivity and specificity of colorimetric nucleic acid in bacterial detection, as well as its potential use in routine diagnosis.Entities:
Keywords: Salmonella; colorimetric; detection; nucleic acid; systematic review
Mesh:
Substances:
Year: 2022 PMID: 36078284 PMCID: PMC9518084 DOI: 10.3390/ijerph191710570
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Study flow diagram during the selection process. n: number of studies.
Summary of the studies included.
| No. | Type of Bacteria | Reporters | Food Samples | Type of Sample | Limit of Detection (LoD) | Sensitivity | Specificity | References |
|---|---|---|---|---|---|---|---|---|
| 1 | Aptamer-HRP-TMB | Milk sample (spiked) | Bacteria suspension | 103 CFU/mL | NR | NR | [ | |
| 2 | Gold nanoparticles | Lettuce sample (spiked) | Nucleic acid | 2.56 CFU/mL | NR | NR | [ | |
| 3 | Gold nanoparticles | 50 meat samples | Bacteria suspension | 105 CFU/mL | 100% | 96% | [ | |
| 4 | Dyes | No | Nucleic acid | 4.8 × 104 CFU | NR | NR | [ | |
| 5 | Aptamer with enzymatic signal amplification | Milk and 2 g of pork | Bacteria suspension | 42 CFU/mL | NR | NR | [ | |
| 6 | Gold nanoparticles | No | Bacteria suspension | 102 CFU/mL | NR | NR | [ | |
| 7 | Gold nanoparticles | Milk sample (spiked) | Nucleic acid | 1.2 × 102 CFU/mL | NR | NR | [ | |
| 8 | RPA | Food samples (spiked) | Nucleic acid | 5 × 103 CFU/mL | 95% | 85% | [ | |
| 9 | Oligonucleotide probe | Water sample (spiked) | Nucleic acid | NR | NR | NR | [ | |
| 10 | DNA probe | 95 raw chicken meat, 111 animal feed, 90 poultry feces, 53 liquid egg and 30 frozen food samples | Nucleic acid | 105 CFU/mL | 98.2% | 99.5% | [ | |
| 11 | RPA | Hazelnut, peanut, soybean, tomato, maize | Nucleic acid | 6 CFU/mL | NR | NR | [ | |
| 12 | Integrated rotary microfluidic system | Water or milk sample (spiked) | Nucleic acid | 50 CFU | NR | NR | [ | |
| 13 | Gold nanoparticles | Human DNA samples | Nucleic acid | NR | NR | NR | [ | |
| 14 | Gold nanoparticles | Food samples (spiked) | Nucleic acid | 105 CFU/mL | NR | NR | [ | |
| 15 | RPA | Maize (spiked) | Nucleic acid | 3 CFU/mL | NR | NR | [ |
NR: Not reported; HRP: horseradish peroxidase; TMB: 3,3′5,5′-tetramethylbenzidine; RPA: recombinase polymerase amplification; DNA: deoxyribonucleic acid; SYBR: synergy brands.
Figure 2Quality assessment of the retrieved articles.
Figure 3Salmonella bacteria from various species detected via nucleic-acid-based colorimetric method.
Figure 4Types of samples used in nucleic-acid-based colorimetric detection.