Applied Sciences (Jul 2023)

AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic Compounds

  • Quang Minh Bui,
  • Huynh Nhat Minh Nguyen,
  • Van Nhan Le,
  • Thanh Thao Nguyen,
  • Ngoc Minh Truong,
  • Ngoc Tung Nguyen,
  • Quang Huong Le,
  • Quang Trung Nguyen

DOI
https://doi.org/10.3390/app13148031
Journal volume & issue
Vol. 13, no. 14
p. 8031

Abstract

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This paper reports a database, namely, the Automated Identification and Quantification Database System (AIQS-DB), which consists of three components, including retention times, mass data, and calibration curves, without the requirement to analyze standard substances. The AIQS-DB that are pre-registered in the database are used as the replacement for the process of measuring chemical standards. Both the target and unknown substances in the real samples were determined by the same conditions of GC-MS as those used for the initial database register in the AIQS-DB system. The article provides a comprehensive overview of the wide-ranging applications of AIQS-DB in various fields and highlights its usefulness as a tool for the simultaneous analysis of organic compounds in different matrixes such as water, soil, sediment and air, etc. It could be considered as the basis in further applications of the AIQS-DB method in determining organic compounds in other fields, specifically biology, food, agriculture, medicine, etc., allowing assessment and reflection on the quality and status of the studied products quickly and cost-effectively.

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