Recently, a chalcone based fluorescence sensor has been developed for the detection of creatinine by Sundaram et al. ( ACS Sens. 2018, 3, 763-771). Though the efficiency of the sensor under clinical condition is appreciated, the proposed mechanism and the interpretations of the authors raise serious concerns. In the present work, DFT calculations were performed on the system. Based on the calculations and the spectral data reported earlier it is established that the Michael addition is not a photophsyical interaction as proposed by Sundaram et al.; instead, it is a ground state reaction. Several other misinterpretations of the authors including that in the ICT mechanism are properly inferred. Since the formula and the procedure followed for the calculation of the fluorescence quantum yield in ACS Sens. 2018, 3, 763-771 is not appropriate, the correct procedure is briefed with the proper formula.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acssensors.8b00434 | DOI Listing |
ACS Sens
January 2025
College of Chemistry, Beijing Normal University, Beijing 100875, China.
Iontronic sensors based on confined space have garnered significant attention due to their promising applications, ranging from single-cell analysis to studies. However, their limited sensitivity has constrained their effectiveness in studying molecular information during physiological and pathological processes. Here, we demonstrate an electrolyte-gated ionic transistor (EGIT) by integrating the confined ion transport behavior in a double-barreled micropipet with an electrolyte-gated transistor configuration, achieving highly sensitive and selective sensing.
View Article and Find Full Text PDFACS Sens
January 2025
School of Materials Science and Engineering, Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-sen University, Guangzhou 510275, People's Republic of China.
Steroid hormones, especially progesterone (P), estradiol (E), and testosterone (T), are key bioactive regulators in various female physiological processes, including growth and development, ovulation, and the reproductive cycle, as well as metabolism and mental health. As lipophilic molecules produced in sex glands, these steroid female hormones can be transported through blood vessels into various body fluids such as saliva, sweat, and urine. However, the ultralow concentration of steroid hormones down to picomolar (pM) level necessitates great demands for ultrasensitive but low-cost analytic tools to implement accurate, point-of-care or even continuous monitoring in a user-friendly fashion.
View Article and Find Full Text PDFACS Sens
January 2025
Key Laboratory of Optic-Electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China.
Precise and sensitive analysis of specific DNA in actual human bodily fluids is crucial for the early diagnosis of major diseases and for a deeper understanding of DNA functions. Herein, by grafting a peptide-conjugated hairpin DNA probe to a covalent organic framework (COF)-based photocathode, a robust anti-interference photoelectrochemical (PEC) DNA bioassay was explored, which could specifically resist potential interference from nonspecific proteins and reducing species. Human immunodeficiency virus (HIV) DNA was used as the target DNA (tDNA) for the PEC DNA bioassay.
View Article and Find Full Text PDFACS Sens
January 2025
College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Greenhouse gases (GHGs) have caused great harm to the ecological environment, so it is necessary to screen gas sensor materials for detecting GHGs. In this study, we propose an ideal gas sensor design strategy with high screening efficiency and low cost targeting four typical GHGs (CO, CH, NO, SF). This strategy introduces machine learning (ML) methods based on density functional theory (DFT) to achieve accurate and rapid screening from a large number of candidate gas sensor materials.
View Article and Find Full Text PDFACS Sens
January 2025
Jiangsu Provincial Key Laboratory of Advanced Robotics, School of Mechanical and Electric Engineering, Soochow University, Suzhou 215137, China.
Atrial fibrillation (AF) as one of the most common cardiovascular diseases has attracted great attention due to its high disability and mortality rate. Thus, a timely and effective recognition method for AF is of great importance for diagnosing and preventing it. Herein, we proposed a novel intelligent sensing and recognition system for AF which combined Traditional Chinese Medicine (TCM), flexible wearable electronic devices, and artificial intelligence.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!