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ACS Sensors is a peer-reviewed journal published by American Chemical Society, covering Advanced biosensing and bioanalysis techniques, Gas Sensing Nanomaterials and Sensors, Analytical Chemistry and Sensors. Over its lifetime it has published 5,460 papers, which have received 177,145 citations.
| Publisher | American Chemical Society |
|---|---|
| Reference style | Superscript numbered (ACS) Superscript — small raised numerals in the text (1) Smith, A.; Jones, B.; Lee, C. A Representative Article Title. ACS Sensors 2023, 12, 45–58.
Formats any DOI in ACS Sensors style. No sign-up. |
| Publishes research in | Advanced biosensing and bioanalysis techniques Gas Sensing Nanomaterials and Sensors Analytical Chemistry and Sensors Biosensors and Analytical Detection Advanced Chemical Sensor Technologies |
| ISSN | 2379-3694 |
| Citation impact (2-yr) | 9.94 |
| h-index | 155 |
| i10-index | 3,398 |
| Top institutions publishing here | Chinese Academy of Sciences |
| Journal website | pubs.acs.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Carbon and graphene quantum dots (CQDs and GQDs), known as zero-dimensional (0D) nanomaterials, have been attracting increasing attention in sensing and bioimaging. Their unique electronic, fluorescent, photoluminescent, chemiluminescent, and electrochemiluminescent properties are what gives them potential in sensing. In this Review, we summarize the basic knowledge on CQDs and GQDs before focusing on their application…
Wearable sensors have received considerable interest over the past decade owing to their tremendous promise for monitoring the wearers’ health, fitness, and their surroundings. However, only limited attention has been directed at developing wearable chemical sensors that offer more comprehensive information about a wearer’s well-being. The development of wearable chemical sensors faces multiple challenges on…
Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis. Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved impressive advances. However, novel advanced ML methods, especially deep learning, which is famous for image analysis, facial recognition, and speech recognition, has remained relatively elusive to the biosensor community. Herein, how…
Food safety is a major factor affecting public health and the well-being of society. A possible solution to control food-borne illnesses is through real-time monitoring of the food quality throughout the food supply chain. The development of emerging technologies, such as active and intelligent packaging, has been greatly accelerated in recent years, with a focus…
Fluorescent sensors with advantages of excellent sensitivity, rapid response, and easy operation are emerging as powerful tools in environmental monitoring, biological research, and disease diagnosis. However, conventional fluorophores featured with π-planar structures usually suffer from serious self-quenching in the aggregated state, poor photostability, and small Stokes' shift. In contrast to conventional aggregation-caused quenching (ACQ) fluorophores,…
