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In recent years, the applicability of using LC-MS/MS as a complementary technique to traditional ligand binding assays in the absolute quantitation of therapeutic proteins in biologic matrix has been demonstrated. Protein quantitation workflow via LC-MS/MS is primarily based on a enzymatic digestion model and recent works seek to improve selectivity and sensitivity. This review focuses on recent innovations in this field and discusses the following in detail: the applicability of two-dimensional liquid chromatography and its use to improve sensitivity and alleviate matrix ion suppression; the use of derivatization agents after digestion to improve extraction and MS ionization efficiency; techniques to reduce excess protein background and their positive effects on sensitivity, selectivity, and extraction consistency; the application of immunoaffinity extraction of proteins to enrich the analyte(s) of interest while improving selectivity and sensitivity.
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http://dx.doi.org/10.1586/14789450.2015.1024225 | DOI Listing |
ACS Sens
September 2025
College of Chemistry, Beijing Normal University, Beijing 100875, China.
Dopamine (DA) signaling is essential for neurodevelopment and is particularly sensitive to disruption during adolescence. Protein restriction (PR) can impair DA dynamics, yet mechanistic insights remain limited due to challenges in real-time neurochemical sensing. Here, we present aptCFE, a robust implantable aptamer-based sensor fabricated via a reagent-free, 3 min electrochemical conjugation (E-conjugation) using amine-quinone chemistry.
View Article and Find Full Text PDFACS Sens
September 2025
School of Physics and Electric Engineering, Linyi University, Linyi 276000, China.
In this study, employing a 2D electrodeposition in situ assembly method, a high-performance HS sensor based on a p-n type CuO-CuFeO heterostructure ordered nanowire arrays was successfully fabricated on silicon substrates. Compared to CuO, CuO-CuFeO nanowire arrays exhibits an ideal interfacial barrier structure and higher initial resistance, with a response to 10 ppm of HS at room temperature (20 ± 3 °C) increased by 225 times and a response time reduced by over 2400 s. The sensor demonstrates exceptional sensitivity (LOD = 10 ppb; response = 234.
View Article and Find Full Text PDFJ Cataract Refract Surg
July 2025
Department of Ophthalmology, West China Hospital of Sichuan University, Chengdu City, Sichuan Province, China.
Purpose: To develop and validate a multimodal deep-learning model for predicting postoperative vault height and selecting implantable collamer lens (ICL) sizes using Anterior Segment Optical Coherence Tomography (AS-OCT) and Ultrasound Biomicroscope (UBM) images combined with clinical features.
Setting: West China Hospital of Sichuan University, China.
Design: Deep-learning study.
JMIR AI
September 2025
Faculty of Medicine, Universidade Federal de Alagoas, Av. Lourival Melo Mota, S/n - Tabuleiro do Martins, Maceió, 57072-900, Brazil, 558232141461.
Background: Artificial intelligence (AI) has the potential to transform global health care, with extensive application in Brazil, particularly for diagnosis and screening.
Objective: This study aimed to conduct a systematic review to understand AI applications in Brazilian health care, especially focusing on the resource-constrained environments.
Methods: A systematic review was performed.
Arq Gastroenterol
September 2025
Faculdade de Medicina da Universidade de São Paulo, Departamento de Gastroenterologia, São Paulo, SP, Brasil.
Background: Accurate evaluation of the invasion depth of superficial esophageal squamous cell carcinoma (SESCC) is crucial for optimal treatment. While magnifying endoscopy (ME) using the Japanese Esophageal Society (JES) classification is reported as the most accurate method to predict invasion depth, its efficacy has not been tested in the Western world. This study aims to evaluate the interobserver agreement of the JES classification for SESCC and its accuracy in estimating invasion depth in a Brazilian tertiary hospital.
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