Database Introduction
Discover the World of Antibiotic SERS Spectra
We are delighted to introduce you to our website, devoted to the in-depth exploration of antibiotic Surface Enhanced Raman Scattering (SERS) profiles and related data. We offer pre-trained model to assist in the identification and categorization of various antibiotics' SERS spectra. Our mission is to provide researchers, medical professionals, and pharmacologists with a comprehensive understanding of antibiotics' SERS characteristics, empowering them to tackle related challenges with increased accuracy and proficiency.
- 31Types of Antibiotics
- 200Antibiotics
- 12800Spectra
*All SERS spectra in this experiment were collected using AgNPs as the substrate.

Service
- Detailed Antibiotics PresentationOur website provides a comprehensive and detailed discussion of antibiotics, covering commonly used antibiotics such as penicillins, tetracyclines and cephalosporins. The structures and molecular formulas of the antibiotics are described in detail in our extensive library of information, and their antimicrobial properties and mechanisms of action are also analysed in depth. The website is designed to equip you with the knowledge and tools necessary to gain a comprehensive understanding of antibiotics and effectively utilise these important healthcare resources.
- Antibiotics SERS DatabaseThe website also provides a comprehensive database of SERS spectra of antibiotics. For each antibiotic, the database not only shows its average spectrum, but also includes spectra that have been deconvolutionally processed, allowing researchers to explore the nature of individual characteristic peaks in detail. Information on the chemical structures corresponding to these characteristic peaks further helps to understand the peak variations in the spectra. With this data, users can more quickly and accurately identify and differentiate between different types of antibiotics, which can further facilitate antibiotic research and application.
- Pre-trained Model
for Antibiotic DetectionIn addition, our website provides pre-trained model for antibiotics detection using the latest advances in artificial intelligence. The pre-trained model is able to quickly identify and analyse SERS spectra by learning and optimising large amounts of data to give an initial verdict on antibiotics. Although the model is not a complete substitute for the expert analysis and in-depth understanding of a medical professional or drug expert in a complex decision-making process, their use undoubtedly provides an effective tool for rapid screening and initial diagnosis.