Article
Biophysics
Lei Jiang, Lu Wang, De-Sheng Zhan, Wen-Rong Jiang, Essy Kouadio Fodjo, Mahmoud Elsayed Hafez, Yan-Mei Zhang, Hu Zhao, Ruo-Can Qian, Da-Wei Li
Summary: The study developed an electrochemistry-regenerated surface-enhanced Raman scattering (SERS) sensor for detecting H2O2-involved metabolites with high selectivity and sensitivity. By modifying newly synthesized 2-mercaptohydroquinone molecules on the surface of gold nanoparticles, the sensor demonstrated effectiveness in detecting glucose and uric acid, and maintained high SERS activity even after multiple regenerations. This SERS sensor offers a new platform for detecting H2O2-involved metabolites in biological fluids, potentially aiding in the early diagnosis of metabolism-related diseases.
BIOSENSORS & BIOELECTRONICS
(2021)
Article
Chemistry, Applied
Jiaoyan Qiu, Yujin Chu, Qihang He, Yingkuan Han, Yu Zhang, Lin Han
Summary: A simple, ultra-sensitive, and super-stable hydrophobic SERS platform for detection of melamine in milk has been developed. This platform shows good performance and potential applications.
Article
Spectroscopy
Yuanjie Teng, Weihao Huang, Xin Li, Zaifa Pan, Kang Shao
Summary: A novel SERS quantitative method with good reproducibility is proposed in this study, which utilizes electrochemical technology and wide area Raman method to correct the signal difference between substrates and within substrates, thereby improving the reproducibility of SERS quantitative detection.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Materials Science, Multidisciplinary
Qiongya Luo, Yanlin Teng, Mengqi He, Xin Cai, Lei Zhang, Junfei Zang, Yonglong Jin, Jie Tang, Tian Xu, Chaonan Wang
Summary: This paper presents the fabrication of a highly sensitive Ag/PMMA SERS substrate using simple plasma treatment and thermal evaporation. The substrate exhibited excellent performance in the detection of crystal violet and melamine in milk.
Article
Chemistry, Analytical
Wenyao Zhang, Kaixin Zheng, Yang Ye, Jiali Ji, Xiaoyu Cheng, Sailing He
Summary: A pipette-tip-enabled digital nucleic acid analyzer for high-performance COVID-19 testing is demonstrated in this study. By using digital LAMP technology, the ORF1a/b gene can be amplified without the need for a thermal cycler, allowing for the generation of monodisperse microdroplets with benchtop centrifugation. The method offers a significant improvement in sensitivity over nondigital techniques and compares favorably to commercial dLAMP platforms, showing potential for large-scale applications of ultrasensitive digital nucleic acid analyzers.
ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Applied
Mantong Zhao, Xiaolong Li, Yule Zhang, Yuwen Wang, Bo Wang, Lulu Zheng, Dawei Zhang, Songlin Zhuang
Summary: An automated microfluidics system was developed for the detection of chloramphenicol (CAP) residues in milk, which had high reliability, low cost, a good detection limit, and recovery rate. This system showed significant potential for point-of-care testing (POCT) of CAP in milk.
Article
Chemistry, Multidisciplinary
Yaman Goksel, Elodie Dumont, Roman Slipets, Sriram T. Rajendran, Sevde Sarikaya, Lasse H. E. Thamdrup, Kjeld Schmiegelow, Tomas Rindzevicius, Kinga Zor, Anja Boisen
Summary: Therapeutic drug monitoring (TDM) is crucial for optimizing drug dosing and avoiding adverse effects. In this study, an electrochemically assisted surface-enhanced Raman spectroscopy (SERS) method and a benchtop Raman detection system were developed for the detection of methotrexate (MTX). The method showed promising results and can be used in resource-limited environments.
Article
Spectroscopy
Qiaoling Yang, Xiaojun Deng, Bing Niu, Hong Lin, Jing Jing, Qin Chen
Summary: In this study, melamine was used as the research object, and the surface enhanced Raman spectrum of melamine in liquid milk was collected using a portable Raman spectrometer. Melamine was qualitatively identified and semi-quantitatively analyzed based on Raman characteristic peak and intensity, and a simple and efficient rapid screening method for limited contaminations was developed. The proposed method can meet the rapid screening requirements of limited contaminations at the maximum residue limit and has good application prospects.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Spectroscopy
Lee Chin-Heng, Tsai Chun-Hung, Lin Ding-Zheng
Summary: Uniformity, sensitivity, reproducibility, and cost are critical parameters for practical surface-enhanced Raman spectroscopy (SERS) substrates. In this study, a high-aspect-ratio nano-pillar-array (HARNPA) substrate deposited with silver using physical vapor deposition (PVD) methods was proposed to fabricate high-performance SERS substrates. By introducing a two-stage intermittent sputtering process, the limitations of Raman background induced by polymer exposure and lower enhancement factor were addressed. The proposed SERS substrates exhibited easy fabrication, high sensitivity, reproducibility, and excellent uniformity, making them suitable for future mass production.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Chemistry, Applied
Limin Li, Wee Shong Chin
Summary: This study developed a facile Ag nanocube (NC) array substrate for rapid SERS detection of melamine in milk with high Raman enhancement and good reproducibility. The proposed method can detect melamine at low concentrations and SVM regression models showed better predictive performance, especially in liquid milk samples.
Article
Nanoscience & Nanotechnology
Yanan Song, Jingyi Sun, Mengyue Wang, Feng Gao, Qingbin Ni, Ying Wang, Mingfeng Yang, Baoliang Sun, Peng Zhao
Summary: A visible SERS-assisted barcode chip was developed to detect blood biomarkers related to white matter lesions (WMLs), enabling early diagnosis and treatment of WMLs. The chip achieved ultrasensitive detection of MMP-9, soluble platelet-derived growth factor receptor, and Mfsd2a with a wide detection range and low limit of detection in blood samples. The feasibility of the chip was confirmed by enzyme-linked immunosorbent assay. This strategy has tremendous potential for visual assessment and quantitative measurement of WML-related biomarkers in biomedical and clinical applications.
ACS APPLIED NANO MATERIALS
(2023)
Article
Optics
Shi Bai, Xueli Ren, Kotaro Obata, Yoshihiro Ito, Koji Sugioka
Summary: This paper introduces the application of liquid interface assisted SERS (LI-SERS) method, which has high sensitivity and versatility for label-free trace detection of bio-molecules. The ultrahigh sensitivity of the LI-SERS method is demonstrated through DNA discrimination and quantitative detection of beta-Amyloid. These results suggest the potential application of LI-SERS method in early-stage diagnosis of diseases such as virus infection and Alzheimer's disease.
OPTO-ELECTRONIC ADVANCES
(2022)
Article
Chemistry, Applied
Jiajia Shan, Xinjing Li, Shuqing Han, Tao Ren, Mengke Jin, Xue Wang
Summary: In this study, a novel sensor utilizing gap-enhance Raman tags (GERTs) competitive immunoassay was developed for selective detection of florfenicol residue in milk. The detection sensitivity was improved by optimizing parameters and conducting Raman mapping.
Article
Chemistry, Multidisciplinary
Ruipeng Chen, Hui Wang, Yiguang Zhao, Xuemei Nan, Wensong Wei, Chunmei Du, Fan Zhang, Qingyao Luo, Liang Yang, Benhai Xiong
Summary: A rapid and highly sensitive immunosensor was developed for the detection of mastitis in dairy cows by measuring IL-6 levels in milk. The immunosensor showed high accuracy and precision in assessing disease status.
Article
Chemistry, Analytical
Jianli Sun, Ru Wang, Li Wang, Xiaoxuan Wang, Junjie Wang, Zengliang Shi, Zaozao Chen, Mingliang Wang, Chunxiang Xu
Summary: A microfluidic chip was developed for visual and quantitative sensing of the biomarker EBV IgG. The chip utilized TMB chromogenic unit and Raman detection unit for detection. By integrating a polystyrene/Au nanoparticles (PS/AuNPs) microsphere arrays and signal probes, the chip achieved amplification of initial SERS signal and provided accurate Raman signals for point-of-care testing. The chip demonstrated a wide dynamic linear range and low detection limit, making it a powerful tool for early cancer diagnosis.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Engineering, Biomedical
Tien-Jen Chang, Rolf Bech Kjeldsen, Juliane Fjelrad Christfort, Eduard Marzo Vila, Tommy Sonne Alstrom, Kinga Zor, En-Te Hwu, Line Hagner Nielsen, Anja Boisen
Summary: This study investigates the use of microscale stereolithography 3D printing to fabricate radiopaque microcontainers with enhanced mucoadhesive geometries, aiming to improve bioavailability. The results show that microcontainers with adhering features exhibit increased mucoadhesion. In vivo studies using imaging techniques reveal the time-dependent gastrointestinal location and spatial dynamics of microcontainers.
ADVANCED HEALTHCARE MATERIALS
(2023)
Article
Engineering, Environmental
Haipeng Li, Elodie Dumont, Roman Slipets, Thomas Thersleff, Anja Boisen, Georgios A. Sotiriou
Summary: Pesticide residues in food products are a concern for human health, and their rapid and easy detection is necessary. The surface-enhanced Raman scattering (SERS) technique can detect pesticide residues quickly and reliably, but its application in food safety diagnostics is limited by its high cost, low scalability, and low reproducibility of necessary sensors. In this study, we have developed a low-cost, large-scale, and highly reproducible method for fabricating SERS nano-sensors, based on the direct deposition of plasmonic core-shell structured Ag-SiO2 nanoparticles produced in the gas phase on temperature-controlled inexpensive glass substrates. Our highly sensitive SERS substrates can rapidly and quantitatively detect pesticide residues in fresh orange, demonstrating their practical applicability for food safety diagnostics.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Automation & Control Systems
David Frich Hansen, Tommy Sonne Alstrom, Mikkel N. Schmidt
Summary: In this study, we address the issue of baseline interference in vibrational spectroscopy by using techniques such as surface enhanced Raman spectroscopy (SERS) and near-infrared (NIR) spectroscopy. By applying a high-capacity non-stationary Gaussian process on the baseline, we are able to estimate the signal and baseline simultaneously, resulting in accurate peak parameter estimation and meaningful uncertainty estimates.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Mahdi Ghavami, Jesper Pedersen, Rolf Bech Kjeldsen, Aage Kristian Olsen Alstrup, Zhongyang Zhang, Vasiliki Koulianou, Johan Palmfeldt, Thomas Vorup-Jensen, Lasse Hojlund Eklund Thamdrup, Anja Boisen
Summary: In this study, researchers developed a new generation of medical devices called self-unfolding proximity enabling devices, which can orally deliver macromolecules without perforating the intestine. These devices protect the macromolecules from harsh conditions in the stomach and release their active pharmaceutical ingredients near the intestinal epithelium. One version of the device, a self-unfolding foil, was used to deliver insulin and nisin to rats and pigs, resulting in a significant increase in absorption.
JOURNAL OF CONTROLLED RELEASE
(2023)
Article
Multidisciplinary Sciences
Asmus Skar, Anders M. Vestergaard, Thea Brusch, Shahrzad Pour, Ekkart Kindler, Tommy Sonne Alstrom, Uwe Schlotz, Jakob Elsborg Larsen, Matteo Pettinari
Summary: This data article introduces the details of LiRA-CD, an open-source dataset for road condition modelling and research. The dataset includes GPS trajectories and time-series data from 50 sensors of electric vehicles on 230 km of roads in Copenhagen, Denmark. Additionally, high-quality road condition measurements were collected by survey vehicles. The dataset can be used for prediction modelling and benchmarking algorithms for road condition parameters.
Article
Biochemical Research Methods
Laura Serioli, Lina Gruzinskyte, Giulia Zappala, En Te Hwu, Trygvi Zachariassen Laksafoss, Peter Lunding Jensen, Danilo Demarchi, Anette Mullertz, Anja Boisen, Kinga Zor
Summary: The CMoD platform is a compact centrifugal device that utilizes artificial intelligence software for real-time monitoring of cell culture and drug interaction under flow conditions. It can accurately analyze cell images and provide data on cell viability and toxicity.
Article
Chemistry, Analytical
Bo Li, Giulia Zappala, Elodie Dumont, Anja Boisen, Tomas Rindzevicius, Mikkel N. Schmidt, Tommy S. Alstrom
Summary: Rapid and accurate detection and quantification of nitroaromatic explosives is crucial for public health and security. We propose an attention-based vision transformer neural network for nitroaromatic explosives' detection and quantification, which outperforms or is on par with existing methods in terms of detection and concentration prediction accuracy.
Article
Chemistry, Analytical
Deena P. Francis, Milan Laustsen, Eleftheria Dossi, Tuule Treiberg, Iona Hardy, Shai Hvid Shiv, Bo Svarrer Hansen, Jesper Mogensen, Mogens H. Jakobsen, Tommy S. Alstrom
Summary: Colorimetric sensing technology is used to detect explosives, drugs, and their precursor chemicals in this study. Various machine learning models are employed to analyze colorimetric experiments under controlled conditions. The results show that homemade explosives can be detected with high true positive rates using the response of a colorimetric chip containing specific dyes. Time series classifiers like Convolutional Neural Networks are explored to improve detection performance by considering the kinetics of chemical reactions. Feature selection using the GPLASSO algorithm identifies important dyes for discrimination, which can be utilized to optimize the colorimetric sensor and expand the range of analytes.
ANALYTICAL METHODS
(2023)
Review
Chemistry, Multidisciplinary
Carmen Milian-Guimera, Reece Mccabe, Lasse Hojlund Eklund Thamdrup, Mahdi Ghavami, Anja Boisen
Summary: Oral dosage forms are the preferred solution for systemic treatment and prevention of diseases, but traditional forms face challenges. Research on novel formulation strategies for oral drug delivery has bloomed in the last decade to overcome these challenges, with approaches based on drug release and mucus interfacing showing promising results in personalized medicine and improved bioavailability.
JOURNAL OF CONTROLLED RELEASE
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Bo Li, Mikkel N. Schmidt, Tommy S. Alstrom, Sebastian U. Stich
Summary: This paper investigates the impact of data heterogeneity on deep neural networks in federated learning and proposes a method to correct model drift on the final layers, which outperforms existing benchmarks with lower communication cost.
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR
(2023)
Article
Microbiology
Pi Westi Bondegaard, Anders Meyer Torp, Priscila Guerra, Katja Ann Kristensen, Juliane Fjelrad Christfort, Karen Angeliki Krogfelt, Line Hagner Nielsen, Kinga Zor, Anja Boisen, Martin Steen Mortensen, Martin Iain Bahl, Tine Rask Licht
Summary: The use of microcontainers did not provide a competitive advantage for the probiotic E. coli Nissle in colonizing the gut of mice. Alternative approaches are needed to enhance the competitive capacity of EcN in the gut.
FEMS MICROBIOLOGY LETTERS
(2023)
