AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic Compounds
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-registe...
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MDPI AG
2023-07-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/13/14/8031 |
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author | 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 |
author_facet | 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 |
author_sort | Quang Minh Bui |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-11T01:21:49Z |
format | Article |
id | doaj.art-a4fa6b6e1db140f7b093709614dd339a |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-11T01:21:49Z |
publishDate | 2023-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-a4fa6b6e1db140f7b093709614dd339a2023-11-18T18:07:11ZengMDPI AGApplied Sciences2076-34172023-07-011314803110.3390/app13148031AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic CompoundsQuang Minh Bui0Huynh Nhat Minh Nguyen1Van Nhan Le2Thanh Thao Nguyen3Ngoc Minh Truong4Ngoc Tung Nguyen5Quang Huong Le6Quang Trung Nguyen7Center for Research and Technology Transfer, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 11353, VietnamCenter for Research and Technology Transfer, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 11353, VietnamCenter for Research and Technology Transfer, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 11353, VietnamCenter for Research and Technology Transfer, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 11353, VietnamCenter for Research and Technology Transfer, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 11353, VietnamCenter for Research and Technology Transfer, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 11353, VietnamCenter for Research and Technology Transfer, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 11353, VietnamCenter for Research and Technology Transfer, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 11353, VietnamThis 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.https://www.mdpi.com/2076-3417/13/14/8031AIQS-DBGC/MSLC/MSsimultaneous analysisorganic compounds |
spellingShingle | 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 AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic Compounds Applied Sciences AIQS-DB GC/MS LC/MS simultaneous analysis organic compounds |
title | AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic Compounds |
title_full | AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic Compounds |
title_fullStr | AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic Compounds |
title_full_unstemmed | AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic Compounds |
title_short | AIQS-DB: Revolutionizing the Simultaneous Analysis of Organic Compounds |
title_sort | aiqs db revolutionizing the simultaneous analysis of organic compounds |
topic | AIQS-DB GC/MS LC/MS simultaneous analysis organic compounds |
url | https://www.mdpi.com/2076-3417/13/14/8031 |
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