Selection of natural biomaterials for micro-tissue and organ-on-chip models

Cecen B., BAL ÖZTÜRK A., YAŞAYAN G., ALARÇİN E., Kocak P., TUTAR R., ...Daha Fazla

JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A, cilt.110, sa.5, ss.1147-1165, 2022 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 110 Sayı: 5
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1002/jbm.a.37353
  • Dergi Adı: JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Agricultural & Environmental Science Database, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, Chimica, Communication Abstracts, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1147-1165
  • Anahtar Kelimeler: hydrogels, micro-tissue, natural biopolymers, organ-on-a-chip, PLURIPOTENT STEM-CELLS, IN-VITRO MODEL, A-CHIP, GELLAN GUM, EXTRACELLULAR-MATRIX, MECHANICAL-PROPERTIES, DRUG DISCOVERY, BLOOD-VESSELS, HYDROGELS, CHITOSAN
  • Marmara Üniversitesi Adresli: Evet

Özet

The desired organ in micro-tissue models of organ-on-a-chip (OoC) devices dictates the optimum biomaterials, divided into natural and synthetic biomaterials. They can resemble biological tissues' biological functions and architectures by constructing bioactivity of macromolecules, cells, nanoparticles, and other biological agents. The inclusion of such components in OoCs allows them having biological processes, such as basic biorecognition, enzymatic cleavage, and regulated drug release. In this report, we review natural-based biomaterials that are used in OoCs and their main characteristics. We address the preparation, modification, and characterization methods of natural-based biomaterials and summarize recent reports on their applications in the design and fabrication of micro-tissue models. This article will help bioengineers select the proper biomaterials based on developing new technologies to meet clinical expectations and improve patient outcomes fusing disease modeling.