Trichromatic ratiometric fluorescent sensor based on machine learning and smartphone for visual and portable monitoring of tetracycline antibiotics

A sensitive lateral flow test strip sensor for visual detection of acid red 18 in food using bicentric-emission carbon dots

“…S3 †). 28 All of the above results support that N-CDs are rich in carbonization-related functional groups.…”

Utilizing machine learning to expedite the fabrication and biological application of carbon dots

“…The performance of detection had excellent sensitivity in the concentration range of 0.1–200 and 0.5–160 μM with the limitation of 0.07 and 0.09 μM for GHS and ADA, respectively. Lu et al 124 designed a tri-color fluorescent optical device based on the ML algorithm and smartphone to detect tetracycline antibiotics (TC), as shown in Fig. 10c.…”

Deep Learning-Assisted Rapid Assessment of Food Freshness Using an Anti-interfering Triple-Emission Ratiometric Fluorescent Sensor

“…The combination of a deep learning strategy and ratiometric fluorescent probe enabled the intelligent monitoring of analytes, which could improve the efficiency and accuracy of detection in real-time analysis of food freshness. Conventional deep learning-assisted ratiometric fluorescent probes for food freshness assessment were developed based on dual-emission sensors, and the detection of analytes were limited in biogenic amines. ,− However, in addition to biogenic amines, other metabolic biomarkers of food spoilage, including pH, total palte count (TPC), and total volatile basic nitrogen, have not been explored in the development of a deep learning strategy-integrated ratiometric fluorescent sensing platform for dynamic evaluation of food spoilage yet. Therefore, the integration of the deep learning-assisted triemission probe with high-throughput sensing platforms urgently needs to be further explored and expanded.…”