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.
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
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.