TLC-Bioautographic Evaluation for High-Throughput Screening and Identification of Free Radical Scavenging and Antidiabetic Compounds from Traditional Unani Medicinal Plant: Schrad.

TLC-Bioautographic Evaluation for High-Throughput Screening and Identification of Free Radical Scavenging and Antidiabetic Compounds from Traditional Unani Medicinal Plant: Schrad.

Parveen, Rabea;Khan, Nausheen;Zahiruddin, Sultan;Ibrahim, Mohammad;Anjum, Varisha;Parveen, Bushra;Khan, Mohammad Ahmad;
journal of aoac international 2019
286
parveen2019tlcbioautographicjournal

Abstract

Interest in the antioxidant and antidiabetic activity of natural products are growing vastly in the modern world. Thin layer chromatography-bioautography-mass spectroscopy (TLC-bioautography-MS) plays an important role in chemico-biological screening of natural sources. TLC combined with 2, 2-Diphenyl-1-picrylhydrazyl (DPPH) free radical, -amylase and -glucosidase bioassay were used to evaluate antioxidant and antidiabetic activities, respectively, in different extracts of (Hanzal), a well-known traditional Indian Unani medicinal plant. To develop a TLC-bioautographic-MS method for DPPH, -amylase, and glucosidase inhibitors in different extract of fruits. Fruits of were successively extracted with toluene, dichloromethane, ethyl acetate, methanol, and water. TLC solvents were developed, and bioautographic-MS analysis was carried out to identify the antioxidant and antidiabetic compounds. H maximum in extracts of at 254 and 366 nm, respectively, whereas in toluene extract at 254 and 366 nm. Based on TLC-bioautography-MS, maximum number of extracts of , all the extracts have shown antidiabetic activity. On the other hand, there were no antioxidant compounds in methanolic extract of . The results of this study reveal that TLC-bioautography-MS-guided strategy used to identify antioxidant and antidiabetic compounds of is very useful technique for high-throughput screening of bioactive compounds. TLC-MS bioautography is a simple and fast to enables bioactive compounds present in extracts.

Citation

ID: 56419
Ref Key: parveen2019tlcbioautographicjournal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
56419
Unique Identifier:
10.5740/jaoacint.19-0287
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet