Optical fluorescence and absorption are two of the primary techniques used for analytical microfluidics. We provide a thorough yet tractable method for computing the performance of diverse optical micro-analytical systems. Sample sizes range from nano- to many micro-liters and concentrations from nano- to milli-molar. Equations are provided to trace quantitatively the flow of the fundamental entities, namely photons and electrons, and the conversion of energy from the source, through optical components, samples and spectral-selective components, to the detectors and beyond. The equations permit facile computations of calibration curves that relate the concentrations or numbers of molecules measured to the absolute signals from the system. This methodology provides the basis for both detailed understanding and improved design of microfluidic optical analytical systems. It saves prototype turn-around time, and is much simpler and faster to use than ray tracing programs. Over two thousand spreadsheet computations were performed during this study. We found that some design variations produce higher signal levels and, for constant noise levels, lower minimum detection limits. Improvements of more than a factor of 1,000 were realized.
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http://dx.doi.org/10.3390/s100706730 | DOI Listing |
J Clin Neurosci
January 2025
Department of Neurology, Gongli Hospital of Shanghai Pudong New Area, No. 219 Miaopu Road, Pudong New Area, Shanghai 200135, China. Electronic address:
Background: Hypertension is one of the most common diseases in the world, impacting global life expectancy and associated with an increased risk of cognitive impairment.
Objective: This study aimed to develop a nomogram that accurately predicts the risk of cognitive impairment in hypertensive patients using the National Health and Nutrition Examination Study (NHANES).
Methods: A total of 1517 hypertensive patients from NHANES 2011-2014 were included in this study.
J Vasc Access
January 2025
College of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Objective: To develop and validate a nomogram model for predicting central venous catheter-related infections (CRI) in patients with maintenance hemodialysis (MHD).
Methods: MHD patients with central venous catheters (CVCs) visiting the outpatient hemodialysis (HD) center of Xuzhou Medical University Affiliated Hospital from January 2020 to December 2023 were retrospectively selected through a HD monitoring system. Patient data were collected, and the patients were divided into training and validation sets in a 7:3 ratio.
Phys Imaging Radiat Oncol
January 2025
Department of Radiation Oncology, Hokkaido University Faculty of Medicine and Graduate School of Medicine, North 15 West 7, Kita-ku, Sapporo, Hokkaido 060-8638, Japan.
Background And Purpose: Radiation-induced lymphopenia (RIL) may be associated with a worse prognosis in pancreatic cancer. This study aimed to develop a normal tissue complication probability (NTCP) model to predict severe RIL in patients with pancreatic cancer undergoing concurrent chemoradiotherapy (CCRT).
Materials And Methods: We reviewed pancreatic cancer patients treated at our facility for model training and internal validation.
World J Gastrointest Oncol
January 2025
Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
Background: Esophageal carcinoma (EC) presents a significant public health issue in China, with its prognosis impacted by myriad factors. The creation of a reliable prognostic model for the overall survival (OS) of EC patients promises to greatly advance the customization of treatment approaches.
Aim: To create a more systematic and practical model that incorporates clinically significant indicators to support decision-making in clinical settings.
Laryngoscope Investig Otolaryngol
February 2025
Department of Otolaryngology, Head and Neck Surgery The Affiliated Hospital of Qingdao University Qingdao China.
Introduction: Systemic inflammatory and nutritional markers are associated with the prognosis of various cancers. However, their association with sinonasal squamous cell carcinoma (SNSCC) prognosis remains unclear. This study aimed to identify systemic inflammatory and nutritional markers associated with the postoperative prognosis of patients with SNSCC and to clarify the clinical value of these markers.
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