دورية أكاديمية
أعرض في EDS

Colorimetric Approach for Nucleic Acid Salmonella spp. Detection: A Systematic Review.

التفاصيل البيبلوغرافية
العنوان: Colorimetric Approach for Nucleic Acid Salmonella spp. Detection: A Systematic Review.
المؤلفون: Ahmad Faris AN; Institute for Research in Molecular Medicine (INFORMM), Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia., Ahmad Najib M; Institute for Research in Molecular Medicine (INFORMM), Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia., Mohd Nazri MN; Institute for Research in Molecular Medicine (INFORMM), Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia., Hamzah ASA; Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia., Aziah I; Institute for Research in Molecular Medicine (INFORMM), Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia., Yusof NY; Institute for Research in Molecular Medicine (INFORMM), Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia., Mohamud R; Department of Immunology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia., Ismail I; Advanced Devices & System (ADS) Research Group, Department of Electrical & Electronic Engineering, Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Bandar Baru Nilai, Nilai 71800, Negeri Sembilan, Malaysia., Mustafa FH; Institute for Research in Molecular Medicine (INFORMM), Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.
المصدر: International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Aug 25; Vol. 19 (17). Date of Electronic Publication: 2022 Aug 25.
نوع المنشور: Journal Article; Review; Systematic Review; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Basel : MDPI, c2004-
مواضيع طبية MeSH: Colorimetry* , Nucleic Acids*, Humans ; Limit of Detection ; Salmonella/genetics ; Sensitivity and Specificity
مستخلص: 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.
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فهرسة مساهمة: Keywords: Salmonella; colorimetric; detection; nucleic acid; systematic review
المشرفين على المادة: 0 (Nucleic Acids)
تواريخ الأحداث: Date Created: 20220909 Date Completed: 20220913 Latest Revision: 20230112
رمز التحديث: 20230113
مُعرف محوري في PubMed: PMC9518084
DOI: 10.3390/ijerph191710570
PMID: 36078284
قاعدة البيانات: MEDLINE
الوصف
تدمد:1660-4601
DOI:10.3390/ijerph191710570