# Aiqs-db: Revolutionizing the Simultaneous Analysis of Organic Compounds
## 4 Prospects  
The advantage of AIQS-DB is that it can simultaneously analyze up to 970 compounds on GC/MS equipment and 508 compounds on LC-QTOF-MS or LC/MS equipment. When combining the analysis results from AIQS-DB with multivariate statistics such as PCA or LDA, the geographical origin of the sample can be traced. Origin tracing studies have been being developed for over 15 years. The types of samples used in origin tracing studies include food samples, agricultural products, rice samples, wine samples, meat samples, etc. The analysis techniques used in origin tracing are also diverse, such as GC/MS, LC/MS, ICP/MS, Isotope, FTIR, etc. The methods can be accurate concentration analysis, semi-quantitative analysis, or even just intensity signal analysis. All are methods that analyze multiple elements and compounds. Therefore, the AIQS-DB method is very suitable for applications in origin-tracing studies.  
AIQS-DB is a highly promising technology that has the potential to revolutionize the way we determine food's geographical origin traceability and identify bioactive compounds in plant medicine. The method combines retention times, mass spectra, and internal  
\begin{table}
\begin{tabular}{l|l l} \hline
**Item** & **GC-MS Specification**[1,21,22] & **LC-TOF-MS Specification**[6,21] \\ \hline _Company_ & Shimadzu & Sciex, Agilent, Shimadzu \\ _Column_ & DB-5 MS (30 \(\times\) 0.25 \(\times\) 0.25) & ODS (2.1 \(\times\) 150 \(\times\) 3) at 40 \({}^{\circ}\)C \\ _Temperature program/gradient_ & 2 min at 40 \({}^{\circ}\)C, 8 \({}^{\circ}\)C/min to 310 \({}^{\circ}\)C, 5 min at 310 \({}^{\circ}\)C; & A95:BS (0\({}^{\prime\prime}\)-A5:B95 (0\({}^{\prime\prime}\)-50\({}^{\prime\prime}\)) \\ _Injection:_ & 250 \({}^{\circ}\)C/_splitless_ & Flow Rate: 0.3 mL/min \\ _Transfer line_ & 300 \({}^{\circ}\)C & \\ _Ion source_ & 200 \({}^{\circ}\)C & \\ _Carrier gas/mobile phase_ & He & H\({}_{2}\)O (A): CH\({}_{3}\)OH (B) + 5 mmol CH\({}_{3}\)COONH\({}_{4}\) \\ _Linear velocity_ & 40 cm/s, constant & \\ _Ionization_ & EI & ESI-Positive at 3500 V \\ _Mode_ & SIM/SCAN (400–600 aum) & SCAN (\(m/z\) 50–1000) \\ \hline \end{tabular}
\end{table}
Table 2: Summary of GC-MS and LC-TOF-MS conditions.  
standard calibration curves registered in a database to identify and quantify chemical substances with high accuracy and reliability.  
One of the major advantages of AIQS-DB is that it requires minimal preparation of standard chemicals, as the retention times and calibration curves remain constant if the measurement conditions are consistent. This saves time and resources, while ensuring that results are consistent and reproducible.  
In terms of food geographical origin traceability, AIQS-DB can be used to accurately identify the geographic origin of food products based on the chemical composition of the sample. This can be especially important for products with geographical indications, such as wines, cheeses, and meats, where consumers rely on the origin to determine the quality and authenticity of the product. With AIQS-DB, we can ensure that the geographical origin of a product is accurately determined, which can help to prevent fraud and protect the reputation of the product.  
AIQS-DB is also highly useful in the field of plant medicine, where it can be used to identify bioactive compounds that have therapeutic properties. Traditional methods of identifying bioactive compounds can be time-consuming and require a significant amount of resources. With AIQS-DB, we can quickly and accurately identify bioactive compounds, allowing us to develop more effective treatments and therapies for various medical conditions.  
Overall, the potential applications of AIQS-DB are numerous and diverse. By providing accurate and reliable results with minimal preparation of standard chemicals, this technology has the potential to transform the way we determine food geographical origin traceability and identify bioactive compounds in plant medicine, leading to improved quality control and better health outcomes.