# Aiqs-db: Revolutionizing the Simultaneous Analysis of Organic Compounds
## 1 Introduction  
Typically, a calibration curve is utilized to determine chemical compositions in actual samples analysis in the GC-MS system. However, a calibration curve being generated requires cost, time and effort as well as the disposal of substances and solvent. In addition, the calibration curve method cannot be applied to measure more than about 100 substances simultaneously.  
The Automated Identification and Quantification Database system (AIQS-DB) is a database comprising three components, including retention times, mass information, and calibration curves, without requirements to analyze standard substances. The data that are pre-registered in the database are used as the replacement for the process of measuring chemical standards. Theoretically, all substances were measured with the same GC-MS conditions as those utilized for initial registration in the database, which can be determined by AIQS-DB system. In addition, not only target substances but also unknown substances in the real samples were searched for using the AIQS-DB. In 2005, Professor [PERSON], a distinguished academic at Kitakyushu University, introduced groundbreaking research on AIQS-DB [1], a sophisticated technology that leverages GC/MS analytical instruments to detect hundreds of organic compounds in a single sweep. The development of AIQS-DB marked a significant milestone in the field of analytical chemistry, enabling researchers to identify an unprecedented number of organic compounds with greater efficiency and accuracy than ever before.  
At its inception, AIQS-DB boasted a remarkable capacity to identify 672 compounds simultaneously, including 332 types of pesticides, 160 varieties of polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs) composed of carbon and hydrogen, 81 phenols comprised of carbon, hydrogen, and oxygen, and 99 compounds containing nitrogen, sulfur, and phosphorus [1]. However, it was not until 2010 that AIQS-DB was refined and gradually adopted for analyzing diverse sample matrices [2].  
Since its inception, AIQS-DB has been widely utilized in numerous studies to concurrently analyze organic compounds in various sample matrices, such as river water samples [3; 4; 5; 6], groundwater samples [7; 8; 9], sediment samples [10; 11; 12], wastewater samples [13; 14; 15], and dust samples [16; 17; 18]. Moreover, AIQS-DB has been adapted for use with other analytical instruments, including LC/MS/MS and LC-TOF/MS, making it an expedient, comprehensive, cost-effective, and scalable approach for identifying organic micro-pollutants [6]. The ability of AIQS-DB to analyze up to 970 compounds simultaneously in GC/MS and 508 compounds in LC-QTOF-MS or LC/MS makes it an ideal tool for non-target analysis across a broad range of sample matrices and applications.  
This 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. It aims to promote the use of AIQS-DB, a highly useful product of Professor [PERSON]'s research, and encourages further research on its applications in other sample matrices such as food, agricultural products, and plants.