Zhong Yongjie, Lai Zhuoyuan, He Changhua, Peng Shengsen, Guo Tianci, Yang Hui, Yang Fan, Shen Yi, Huang Zhengliang, Fu Zhaoyong, Wang Kelin, Song Fengge, Yang Jinghao, Negahdary Masoud, Mao Haimei, Zhao Hongliang, Wan Yi, Yunusov Khaydar E, Sarimsakov Abdushkur A
School of Information and Communication Engineering, Marine College, School of Biomedical Engineering, School of Life and Pharmaceutical Sciences, Hainan University, Haikou 570228, China.
Department of Public Health, Hainan Provincial Center for Disease Control and Prevention, No. 40, Haifu Road, Meilan district, Haikou city, Hainan Province, China.
Analyst. 2025 Mar 24;150(7):1235-1247. doi: 10.1039/d4an01339e.
The study of microbial growth curves is essential for comprehending microbial behavior and enhancing related processes. Current monitoring methods face limitations, including low automation, inefficient detection, and insufficient throughput. To address these challenges, we developed the Real-Time Microbial Growth Curve (RMGC) system, which offers fully automated and high-throughput monitoring of microbial growth through an Improved Microplate Reader (IMR) with a user-friendly graphical interface. By optimizing and calibrating the optical pathways, we achieve high-precision and consistent absorbance detection using LED light sources, surpassing traditional xenon lamp microplate readers, which lack continuous operation capabilities. We validated the RMGC system by cultivating 96 samples of () at a concentration of 10 CFU mL. After approximately 12 hours of continuous monitoring, the system exhibited a relative standard deviation (RSD) of less than 3.25% for optical density (OD) measurements and an RSD of 2.52% for the point of inflection (POI). These results indicate a similar level of precision but a longer monitoring time compared to conventional microplate readers, reflecting the effectiveness of the RMGC system in accurately monitoring microbial growth. The RMGC system showcases its versatility through various applications, such as microorganism gradient cultures, anaerobic microbial cultures, and antimicrobial susceptibility testing (AST). Its capabilities have important implications for multiple industries, including pharmaceuticals for antibiotic development, food safety for microbial contamination testing, and microbiological research.
微生物生长曲线的研究对于理解微生物行为和优化相关过程至关重要。当前的监测方法存在局限性，包括自动化程度低、检测效率低和通量不足。为应对这些挑战，我们开发了实时微生物生长曲线（RMGC）系统，该系统通过具有用户友好图形界面的改进型酶标仪（IMR），提供对微生物生长的全自动高通量监测。通过优化和校准光路，我们使用LED光源实现了高精度且一致的吸光度检测，超越了缺乏连续运行能力的传统氙灯酶标仪。我们通过培养浓度为10 CFU/mL的96个（）样本对RMGC系统进行了验证。经过约12小时的连续监测，该系统在光密度（OD）测量方面的相对标准偏差（RSD）小于3.25%，在拐点（POI）处的RSD为2.52%。这些结果表明，与传统酶标仪相比，精度水平相近，但监测时间更长，这反映了RMGC系统在准确监测微生物生长方面的有效性。RMGC系统通过多种应用展示了其多功能性，如微生物梯度培养、厌氧微生物培养和抗菌药敏试验（AST）。其功能对多个行业具有重要意义，包括用于抗生素开发的制药行业、用于微生物污染检测的食品安全行业以及微生物学研究。
