A review on nanostructure-based mercury (II) detection and monitoring focusing on aptamer and oligonucleotide biosensors

ŞAHİN S., ÇAĞLAYAN M. O., Üstündağ Z.

Talanta, cilt.220, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 220
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.talanta.2020.121437
  • Dergi Adı: Talanta
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, L'Année philologique, Aerospace Database, Analytical Abstracts, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Chimica, Communication Abstracts, Compendex, EMBASE, Food Science & Technology Abstracts, Linguistic Bibliography, MEDLINE, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Aptamers, Biosensors, Hg2+ detection, Nanomaterials, Oligonucleotide probes
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

Özet

© 2020 Elsevier B.V.Heavy metal ion pollution is a severe problem in environmental protection and especially in human health due to their bioaccumulation in organisms. Mercury (II) (Hg2+), even at low concentrations, can lead to DNA damage and give permanent harm to the central nervous system by easily passing through biological membranes. Therefore, sensitive detection and monitoring of Hg2+ is of particular interest with significant specificity. In this review, aptamer-based strategies in combination with nanostructures as well as several other strategies to solve addressed problems in sensor development for Hg2+ are discussed in detail. In particular, the analytical performance of different aptamer and oligonucleotide-based strategies using different signal improvement approaches based on nanoparticles were compared within each strategy and in between. Although quite a number of the suggested methodologies analyzed in this review fulfills the standard requirements, further development is still needed on real sample analysis and analytical performance parameters.