Preprint Communication Version 1 Preserved in Portico This version is not peer-reviewed

AIQS-DB: Revolutionizing Simultaneous Analysis of Organic Compounds

Version 1 : Received: 4 May 2023 / Approved: 8 May 2023 / Online: 8 May 2023 (10:11:22 CEST)

A peer-reviewed article of this Preprint also exists.

Bui, Q.M.; Nguyen, H.N.M.; Le, V.N.; Nguyen, T.T.; Truong, N.M.; Nguyen, N.T.; Le, Q.H.; Nguyen, Q.T. AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic Compounds. Appl. Sci. 2023, 13, 8031. Bui, Q.M.; Nguyen, H.N.M.; Le, V.N.; Nguyen, T.T.; Truong, N.M.; Nguyen, N.T.; Le, Q.H.; Nguyen, Q.T. AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic Compounds. Appl. Sci. 2023, 13, 8031.

Abstract

This article summarizes studies using the AIQS-DB method to analyze various types of samples for different purposes. This is a method developed to simultaneously analyze nearly 1500 compounds and is widely used worldwide. The method is highly effective for environmental samples such as water, soil, sediment, and air. Recognizing its potential, this article aims to promote the further application and development of AIQS-DB in research related to food analysis and source tracing. Furthermore, if a suitable dataset can be constructed, it could help research quickly and cost-effectively discover the new bioactive compounds from plant medicine.

Keywords

AIQS-DB; GC/MS; LC/MS; simultaneous analysis

Subject

Environmental and Earth Sciences, Environmental Science

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