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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Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
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.
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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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