Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310269172> ?p ?o ?g. }
- W4310269172 endingPage "589" @default.
- W4310269172 startingPage "562" @default.
- W4310269172 abstract "Mycotoxins (MYTs), a class of low molecular weight secondary metabolites produced by filamentous fungi in food and feed, pose serious global threat to both human health and world economy. Due to their mutagenic, teratogenic, carcinogenic and immunosuppressive effects, the International Agency for Research on Cancer has classified various MYTs under Group 1 to 3 category with aflatoxins being designated under Group 1 category (carcinogenic to humans). Also, the presence of MYTs in trace amounts in diverse food matrices necessitates exploration of highly sensitive methods for onsite analysis. Although conventional chromatographic methods are highly sensitive, they are expensive, tedious and cannot be applied for rapid onsite analysis. In recent years the application of nanomaterials especially carbon-based nanomaterials (CNMs) in the fabrication of low-cost and miniaturized electrochemical and optical sensors has enabled rapid onsite analysis of MYTs with high sensitivity and specificity. Moreover, the CNMs are employed as effective solid phase extraction (SPE) adsorbents possessing high specific surface area for effective enrichment of MYTs to improve the sensitivity of chromatographic methods for MYT analysis in food. This article aims to overview the recent trends in the application of CNMs as SPE adsorbents for sample pretreatment in chromatographic methods as well as in the fabrication of highly sensitive electrochemical and optical sensors for rapid analysis of MYTs in food. Initially, the efficiency of various functionalized CNMs developed recently as adsorbent in packed SPE cartridges and dispersive SPE adsorbent/purification powder is discussed. Then, their application in the development of various electrochemical immunosensors involving functionalized carbon nanotubes/nanofibers, graphene oxide, reduced graphene oxide and graphene quantum dots is summarized. In addition, the recent trends in the use of CNMs for fabrication of electrochemical and fluorescence aptasensors as well as some other colorimetry, fluorometry, surface-enhanced Raman spectroscopy and electrochemical based sensors are compared and tabulated. Collectively, this review article can provide a research update on analysis of MYTs by carbon-based nanomaterials paving a way for identifying future perspectives." @default.
- W4310269172 created "2022-11-30" @default.
- W4310269172 creator A5052886955 @default.
- W4310269172 creator A5061322500 @default.
- W4310269172 date "2022-11-23" @default.
- W4310269172 modified "2023-09-30" @default.
- W4310269172 title "Recent trends in analysis of mycotoxins in food using carbon-based nanomaterials" @default.
- W4310269172 cites W1003083253 @default.
- W4310269172 cites W1415459932 @default.
- W4310269172 cites W1492775756 @default.
- W4310269172 cites W1995662312 @default.
- W4310269172 cites W2032867345 @default.
- W4310269172 cites W2157202716 @default.
- W4310269172 cites W2416532000 @default.
- W4310269172 cites W2519009127 @default.
- W4310269172 cites W2550688476 @default.
- W4310269172 cites W2565945484 @default.
- W4310269172 cites W2587984102 @default.
- W4310269172 cites W2734277501 @default.
- W4310269172 cites W2750301187 @default.
- W4310269172 cites W2752932873 @default.
- W4310269172 cites W2773942553 @default.
- W4310269172 cites W2774476335 @default.
- W4310269172 cites W2783119910 @default.
- W4310269172 cites W2790409247 @default.
- W4310269172 cites W2799685606 @default.
- W4310269172 cites W2799996412 @default.
- W4310269172 cites W2801935839 @default.
- W4310269172 cites W2810825256 @default.
- W4310269172 cites W2887380392 @default.
- W4310269172 cites W2890435518 @default.
- W4310269172 cites W2903564822 @default.
- W4310269172 cites W2907874094 @default.
- W4310269172 cites W2915371303 @default.
- W4310269172 cites W2921873576 @default.
- W4310269172 cites W2938165319 @default.
- W4310269172 cites W2938622613 @default.
- W4310269172 cites W2949905712 @default.
- W4310269172 cites W2955396395 @default.
- W4310269172 cites W2966705741 @default.
- W4310269172 cites W2969742905 @default.
- W4310269172 cites W2970311576 @default.
- W4310269172 cites W2971717406 @default.
- W4310269172 cites W2971763914 @default.
- W4310269172 cites W2972127074 @default.
- W4310269172 cites W2972409974 @default.
- W4310269172 cites W2990193833 @default.
- W4310269172 cites W2992962747 @default.
- W4310269172 cites W2994618934 @default.
- W4310269172 cites W2996806722 @default.
- W4310269172 cites W3004627720 @default.
- W4310269172 cites W3006011698 @default.
- W4310269172 cites W3008750795 @default.
- W4310269172 cites W3013679826 @default.
- W4310269172 cites W3026674770 @default.
- W4310269172 cites W3049088449 @default.
- W4310269172 cites W3081781068 @default.
- W4310269172 cites W3086998165 @default.
- W4310269172 cites W3089539816 @default.
- W4310269172 cites W3096172977 @default.
- W4310269172 cites W3103692104 @default.
- W4310269172 cites W3104497392 @default.
- W4310269172 cites W3112878155 @default.
- W4310269172 cites W3114756975 @default.
- W4310269172 cites W3117736588 @default.
- W4310269172 cites W3126284835 @default.
- W4310269172 cites W3205138371 @default.
- W4310269172 cites W3205696857 @default.
- W4310269172 cites W3207524708 @default.
- W4310269172 cites W3209818690 @default.
- W4310269172 cites W3211299470 @default.
- W4310269172 cites W4200413070 @default.
- W4310269172 cites W4224319422 @default.
- W4310269172 doi "https://doi.org/10.38212/2224-6614.3437" @default.
- W4310269172 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36753363" @default.
- W4310269172 hasPublicationYear "2022" @default.
- W4310269172 type Work @default.
- W4310269172 citedByCount "3" @default.
- W4310269172 countsByYear W43102691722023 @default.
- W4310269172 crossrefType "journal-article" @default.
- W4310269172 hasAuthorship W4310269172A5052886955 @default.
- W4310269172 hasAuthorship W4310269172A5061322500 @default.
- W4310269172 hasBestOaLocation W43102691721 @default.
- W4310269172 hasConcept C107872376 @default.
- W4310269172 hasConcept C138631740 @default.
- W4310269172 hasConcept C150394285 @default.
- W4310269172 hasConcept C171250308 @default.
- W4310269172 hasConcept C178790620 @default.
- W4310269172 hasConcept C185592680 @default.
- W4310269172 hasConcept C192562407 @default.
- W4310269172 hasConcept C31903555 @default.
- W4310269172 hasConcept C43617362 @default.
- W4310269172 hasConcept C4725764 @default.
- W4310269172 hasConcept C513720949 @default.
- W4310269172 hasConcept C81426234 @default.
- W4310269172 hasConcept C84699730 @default.
- W4310269172 hasConceptScore W4310269172C107872376 @default.
- W4310269172 hasConceptScore W4310269172C138631740 @default.