Article
Engineering, Biomedical
Cornelia van Lanschot, Tom Bakker Schut, Elisa Barroso, Aniel Sewnaik, Jose Hardillo, Dominiek Monserez, Cees Meeuwis, Stijn Keereweer, Rob Baatenburg de Jong, Gerwin Puppels, Senada Koljenovic
Summary: The aim of this study is to investigate whether Raman spectroscopy can be used to discriminate laryngeal cancer from surrounding non-cancerous tissue. Through experiments on patients surgically treated for laryngeal cancer, it was found that discriminative information is present in the CH-stretching region of the Raman spectra, which can be used to differentiate laryngeal cancer. High wavenumber region Raman spectroscopy can discriminate laryngeal cancer from non-cancerous tissue structures.
LASERS IN MEDICAL SCIENCE
(2023)
Article
Dermatology
Ivan A. Bratchenko, Lyudmila A. Bratchenko, Alexander A. Moryatov, Yulia A. Khristoforova, Dmitry N. Artemyev, Oleg O. Myakinin, Andrey E. Orlov, Sergey V. Kozlov, Valery P. Zakharov
Summary: In this study, skin cancer was diagnosed in vivo using a portable low-cost spectroscopy setup, showing promising accuracy in classifying malignant and benign tumors, melanomas and pigmented tumors, and melanomas and seborrhoeic keratosis. The proposed system's automatic analysis accuracy outperformed GPs and trainees, and was comparable to trained dermatologists, suggesting potential for improving neoplasms classification in combination with other optical techniques.
EXPERIMENTAL DERMATOLOGY
(2021)
Article
Biology
Zheng Li, Zhongqiang Li, Qing Chen, Jian Zhang, Michael E. Dunham, Andrew J. McWhorter, Ji-Ming Feng, Yanping Li, Shaomian Yao, Jian Xu
Summary: Early detection of laryngeal cancer is crucial for survival rates, treatment options, and healthcare costs. A non-invasive optical biopsy for laryngeal carcinoma can improve early detection and monitoring, as well as improve margin control during surgery. In this study, a Raman spectroscopy system was evaluated for rapid intraoperative detection of human laryngeal carcinoma, using different spectral analysis methods. Results showed that the convolutional neural network method demonstrated the highest performance in terms of accuracy, sensitivity, and specificity.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Chemistry, Analytical
Xingkang Diao, Xinli Li, Shuping Hou, Haijuan Li, Guohua Qi, Yongdong Jin
Summary: Exosomes are promising noninvasive biomarkers for the early diagnosis and treatment of diseases, especially cancer. However, accurately distinguishing exosomes from clinical samples remains a challenge due to their heterogeneity. In this study, a machine learning-based label-free surface-enhanced Raman spectroscopy method was used to accurately identify exosomes in human serum samples for the diagnosis of breast cancer and cervical cancer.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Zhengxia Yang, Hai-Sheng Su, En-Ming You, Siying Liu, Zihang Li, Yun Zhang
Summary: Breast cancer is a major cause of cancer-related morbidity and mortality for women worldwide, and an accurate and rapid diagnosis is crucial for patient treatment and prognosis. Surface-enhanced Raman spectroscopy (SERS) has been widely used in biomedicine due to its vibrational fingerprint information and high detection sensitivity. In this study, an optimized bimetallic nanosphere (Au@Ag NS) 3D substrate was fabricated for the diagnosis of breast cancer based on SERS analysis of extracellular metabolites. The results showed that normal breast cells and breast cancer cells could be readily distinguished based on their SERS spectra, indicating the potential clinical application of this technique in breast cancer diagnosis.
Article
Biochemical Research Methods
Panagiotis Giamougiannis, Camilo L. M. Morais, Rita Grabowska, Katherine M. Ashton, Nicholas J. Wood, Pierre L. Martin-Hirsch, Francis L. Martin
Summary: The study compared the performance of blood plasma, serum, and ascitic fluid in ovarian cancer detection using Raman microspectroscopy. Ascitic fluid showed the best class separation in both unsupervised and supervised discrimination approaches, with higher classification accuracies, sensitivities, and specificities compared to plasma or serum. The presence of collagen information in ascitic fluid was found to be responsible for distinguishing ovarian cancer samples, making it a potential diagnostic method for ovarian cancer.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2021)
Article
Biochemical Research Methods
Mei-Huan Wang, Xiao Liu, Qian Wang, Hua-Wei Zhang
Summary: This study investigated the diagnostic efficiency of Raman spectroscopy for breast cancer. The meta-analysis results showed that Raman spectroscopy has high sensitivity and specificity for breast cancer diagnosis and may be an effective and accurate tool.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2022)
Review
Chemistry, Multidisciplinary
Alemayehu Getahun Kumela, Abebe Belay Gemta, Alemu Kebede Hordofa, Ruth Birhanu, Habtamu Dagnaw Mekonnen, Umer Sherefedin, Kinfe Weldegiorgis
Summary: This review assesses the recent advances, advantages, performance analysis, and current challenges associated with the fabrication of plasmonic biosensors, photonic crystals, and the hybridization of both for cancer diagnosis. The primary focus is on the development of biosensors that combine different shapes, sizes, and optical properties of metallic and dielectric nanoparticles with various coupling techniques. The latter part discusses the challenges and prospects of developing effective biosensors for early cancer diagnosis using dielectric and metallic nanoparticles.
NANOSCALE ADVANCES
(2023)
Article
Medicine, Research & Experimental
Conor C. Horgan, Mads S. Bergholt, Anika Nagelkerke, May Zaw Thin, Isaac J. Pence, Ulrike Kauscher, Tammy L. Kalber, Daniel J. Stuckey, Molly M. Stevens
Summary: This article presents an alternative nanoparticle-free theranostic approach based on Raman spectroscopy and photodynamic therapy, which offers significant advantages and application prospects in clinical cancer treatment.
Article
Spectroscopy
Katerina Kralova, Ondrej Vrtelka, Marketa Fouskova, Petr Hribek, Bohus Bunganic, Michaela Miskovicova, Petr Urbanek, Miroslav Zavoral, Lubos Petruzelka, Lucie Habartova, Vladimir Setnicka
Summary: Improving early diagnosis of gastrointestinal cancers is crucial for reducing mortality. The non-specific symptoms pose a challenge in differentiating between different types of gastrointestinal cancers. By using Raman spectroscopy and Raman optical activity to analyze blood plasma samples, the study aimed to identify disease-specific alterations in biomolecular structure and composition. The statistical methods tested showed high accuracy in discriminating between cancer and control samples, as well as differentiating among the three studied cancer types.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Review
Biotechnology & Applied Microbiology
Kunxiang Liu, Qi Zhao, Bei Li, Xia Zhao
Summary: This article reviews the applications of Raman spectroscopy for in vivo and in vitro diagnosis of gastric cancer, methodology related to spectroscopy data analysis, and presents the limitations of the technique.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Daniella Castro Araujo, Adriano Alonso Veloso, Renato Santos de Oliveira Filho, Marie-Noelle Giraud, Leandro Jose Raniero, Lydia Masako Ferreira, Renata Andrade Bitar
Summary: Early detection of cutaneous melanoma is crucial for successful treatment. This study introduces a machine learning approach using raw skin Raman spectra data to classify benign and malignant skin lesions with high efficiency. The research also demonstrates the effectiveness of a high-performance model using a miniaturized spectral range, paving the way for the development of a cheaper and dedicated Raman spectrometer for fast and accurate cancer diagnosis.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2021)
Review
Biochemistry & Molecular Biology
Roberta Schiemer, David Furniss, Sendy Phang, Angela B. Seddon, William Atiomo, Ketankumar B. Gajjar
Summary: Endometrial cancer is a common and fatal cancer among women worldwide. Current screening strategies lack the required sensitivity, specificity, and accuracy, highlighting the need for alternative diagnostic and screening methods. Vibrational spectroscopic techniques, such as Mid-Infrared Absorption Spectroscopy and Raman spectroscopy, offer non-invasive and accurate discrimination between cancerous and healthy samples. This review aims to provide an overview of the current application of vibrational biospectroscopy in endometrial cancer diagnosis and screening, as well as future prospects.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Biotechnology & Applied Microbiology
Ting Lin, Ya-Li Song, Pu Kuang, Si Chen, Zhigang Mao, Ting-Ting Zeng
Summary: The optical technology of Surface-enhanced Raman scattering (SERS) plays a significant role in cancer diagnosis, with its performance being highly dependent on the properties and morphology of the substrate. SERS technology offers advantages of rapidity, high specificity, and high sensitivity.
Article
Chemistry, Analytical
Mengke Su, Shixuan Yang, Min Xu, Shanshan Du, Liqin Zheng, Xian Wang, Cheng Qu, Honglin Liu
Summary: In this study, a novel SERS probe was developed using nucleic acid-peptide conjugates for high-specific profiling of abnormal protein levels in cancer patients. The probe showed rapid, simple, and multisignal detection capabilities. The effect of low-temperature storage time on blood samples was also analyzed, and it was found that plasma samples stored at 4°C for more than 2 days could generate false negative results due to TB hydrolysis, highlighting the importance of clinical sample analysis. This nucleic acid-peptide conjugate provides new ideas for future SERS sensing strategies.
ANALYTICAL CHEMISTRY
(2023)
Article
Physics, Applied
Li Gong, Wei Zheng, Ying Ma, Zhiwei Huang
PHYSICAL REVIEW APPLIED
(2019)
Article
Optics
Li Gong, Wei Zheng, Ying Ma, Zhiwei Huang
Article
Chemistry, Analytical
Kideog Bae, Wei Zheng, Ying Ma, Zhiwei Huang
ANALYTICAL CHEMISTRY
(2020)
Article
Chemistry, Analytical
Kideog Bae, Le Xin, Wei Zheng, Carol Tang, Beng-Ti Ang, Zhiwei Huang
Summary: Recent genomic studies have paved the way for effective clinical treatments of glioblastoma (GBM) subtypes, but intratumoral heterogeneity complicates subtype identification. The use of hyperspectral stimulated Raman scattering (SRS) microscopy allows for rapid, label-free molecular assessment of GBM intratumoral heterogeneity. By developing a unique SRS imaging diagnostic platform, it is possible to accurately determine tumor heterogeneity in GBM tissues, thus potentially improving targeted therapy for GBM in the future.
ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Analytical
Chi Shu, Wei Zheng, Kan Lin, Chweeming Lim, Zhiwei Huang
Summary: This study applies fiberoptic Raman endoscopy to conduct follow-up surveys and accurate detection of tumor recurrence in post-treatment NPC patients. The Raman endoscopy shows significant spectral differences among normal tissue, NPC, and nonrecurring post-treatment patients, with high diagnostic accuracy for distinguishing recurrent NPC from post-treatment inflammation and fibrosis. This work demonstrates the clinical potential of fiberoptic Raman endoscopy as a powerful diagnostic tool for post-treatment surveying and recurrent tumor detection at the molecular level.
ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Analytical
Chi Shu, Hanshu Yan, Wei Zheng, Kan Lin, Anne James, Sathiyamoorthy Selvarajan, Chwee Ming Lim, Zhiwei Huang
Summary: This study developed a deep learning-guided fiberoptic Raman diagnostic platform, with the optimized RS-CNN model showing good diagnostic accuracy and sensitivity in real-time NPC diagnosis, outperforming traditional linear discriminate analysis methods. By investigating saliency maps of the RS-CNN models, the diagnostic capability related to biomolecular variations was validated.
ANALYTICAL CHEMISTRY
(2021)
Article
Optics
Li Gong, Shulang Lin, Zhiwei Huang
Summary: A novel z-scan-free stimulated Raman scattering tomography (SRST) utilizing optical beating technique (OBT) and Bessel beams enables deeper penetration for label-free volumetric chemical imaging with subcellular resolution. The technology encodes depth-resolved SRS signals in the spatial frequency domain, rapidly retrieving volumetric tissue information without mechanical depth-scanning, and demonstrates improved imaging depth in highly scattering samples compared to conventional SRS microscopy, with potential applications in various biological and biomedical systems.
LASER & PHOTONICS REVIEWS
(2021)
Article
Optics
Chi Shu, Wei Zheng, Zhuo Wang, Changyuan Yu, Zhiwei Huang
Summary: The study introduces a disposable submillimeter fiber optic Raman needle probe for enhancing real-time in vivo tissue and biofluids Raman measurements. By using the probe and structured background subtraction algorithms, high quality Raman spectra from various tissue types and biofluids can be rapidly obtained. This technique shows promise in achieving real-time deep tissue and biofluids diagnosis and characterization in different organs.
Article
Optics
Xiaobo Lv, Li Gong, Shulang Lin, Peng Jin, Zhiwei Huang
Summary: We have developed a unique super-resolution stimulated Raman scattering (SRS) microscopy technique called phase-shifted spatial frequency modulation (PSFM) under widefield illumination. This technique enables super-resolution chemical imaging with single-pixel detection. By projecting pump and Stokes laser patterns with varying spatial frequencies onto the sample and combining with a proposed phase shift, higher spatial information can be rapidly retrieved using fast inverse Fourier-transform. This technique provides approximately 2.2-fold improvement in spatial resolution compared to conventional point-scan SRS microscopy, while requiring much reduced laser excitation power density, suggesting its potential for label-free super-resolution chemical imaging in cells and tissue.
Article
Optics
Howard Peng Sin Heng, Chi Shu, Wei Zheng, Zhiwei Huang
Summary: We report the development of a novel coaxial double-clad-fiber (DCF) and graded-index (GRIN) fiberoptic Raman probe for enhancing in vivo epithelial tissue Raman measurements. The probe can acquire high-quality Raman spectra from various oral tissues within sub-seconds and detect subtle biochemical differences between different epithelial tissues, suggesting its potential for in vivo diagnosis and characterization.
Article
Chemistry, Analytical
Chi Shu, Wei Zheng, Kan Lin, Chwee Ming Lim, Zhiwei Huang
Summary: This study demonstrates the ability of rapid fiberoptic Raman endoscopy to stage and diagnose nasopharyngeal cancer in real-time. By analyzing Raman spectra of tissue sites, a staging model is established with high accuracy. The findings show that fiberoptic Raman endoscopy is a robust tool for clinical staging of nasopharyngeal cancer.
Article
Optics
Shulang Lin, Li Gong, Zhiwei Huang
Summary: This article reports a novel two-photon fluorescence tomography (TPFT) technique that enables super-resolution deeper tissue 3D imaging without the need for z-scanning. By using phase-shifted optical beatings of Bessel beams, the lateral and axial resolutions are improved, and the penetration depth is increased. This method allows for depth-resolved imaging without mechanical depth-scanning.
LASER & PHOTONICS REVIEWS
(2023)
Article
Automation & Control Systems
Karthik Prathaban, Bingcheng Wu, Char Loo Tan, Zhiwei Huang
Summary: This study developed a robust multilayer sigmoid-activated convolutional neural network (MLS-CNN) for accurately delineating infiltrative brain tumor margins in glioma histology. The MLS-CNN achieved high diagnostic accuracy and efficiency, and its classifications were strongly correlated with gene expression levels.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Medicine, Research & Experimental
Kideog Bae, Wei Zheng, Zhiwei Huang
Article
Medicine, Research & Experimental
Kideog Bae, Wei Zheng, Ying Ma, Zhiwei Huang
Article
Biophysics
Reza Khodadadi, Manouchehr Eghbal, Hamideh Ofoghi, Alireza Balaei, Ali Tamayol, Karen Abrinia, Amir Sanati-Nezhad, Mohamadmahdi Samandari
Summary: This paper introduces an integrated portable centrifugal microfluidic system that automates cell and fluid manipulation for complete blood counting (CBC) analysis at the point-of-care (POC). The system utilizes a specially designed microfluidic disc for cell separation, solution metering and mixing, and cell counting, and is equipped with a custom script for automated quantification of cells. The proposed method shows a strong correlation with the gold standard hematology analyzer for various blood parameters. The portable system offers simplicity, affordability, and low power consumption, making it a potential solution for improving healthcare delivery in resource-limited settings and remote areas.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Nabil H. Bhuiyan, Joon S. Shim
Summary: Developing herd immunity is crucial for changing the course of the COVID-19 pandemic. An AI-driven point-of-care testing platform has been proposed for analyzing the body's response to SARS-CoV-2, and it has been successfully used for quantifying viral proteins and antibodies in blood samples. A data-receptive web-based dashboard system has also been developed for real-time analysis of herd immunity progress.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Alexiane Godain, Timothy M. Vogel, Pascal Fongarland, Naoufel Haddour
Summary: This study provides comprehensive insights into the intricate relationship between shear stress and electroactive biofilms in microbial fuel cells, highlighting the pivotal role of shear stress in influencing the growth kinetics, electrical performance, and physical structure of the biofilms. The study also emphasizes the complexities of extracellular electron transfer mechanisms and the need for complementary metaproteomic analyses.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Linjie Wang, Yixin Chen, Yang Ji, Shujun Zheng, Fei Wang, Caolong Li
Summary: A paper-based biosensor incorporating surface-enhanced Raman spectroscopy (SERS) and colorimetric detection has been developed for efficient quantification of intracellular glutathione (GSH). The biosensor exhibits excellent selectivity, stability, and precision, with low detection limits in both SERS and colorimetric modes. It has been successfully utilized for intracellular GSH detection and validated against a commercial GSH assay kit.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Quan Zhou, Jing Wang, Zhen Zhang, Alain Wuethrich, Richard J. Lobb, Matt Trau
Summary: This study presents a biosensor for sensitive detection of EMT-associated biomarkers on extracellular vesicles (EVs) surfaces during targeted therapy. Through longitudinal monitoring of patients, the biosensor shows its ability to identify the EMT-like phenotype switching on circulating EVs during the development of resistance.
BIOSENSORS & BIOELECTRONICS
(2024)
Review
Biophysics
Pratika Rai, Sabrina N. Hoba, Celine Buchmann, Robert J. Subirana-Slotos, Christian Kersten, Tanja Schirmeister, Kristina Endres, Bernd Bufe, Alexey Tarasov
Summary: Proteases have been proposed as potential biomarkers for various pathological conditions. The development of protease biosensors offers a more efficient way to investigate dysregulated proteases. This review article presents different optical and electrochemical detection methods for designing biosensors for all major protease families.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Chengxin Liu, Xu Shen, Li Yan, Runlian Qu, Yue Wang, Yaqin He, Zixuan Zhan, Piaopiao Chen, Feng Lin
Summary: In this study, a homogeneous rapid electrochemical aptasensor was developed to quantitatively detect CTCs in lung cancer patients. The aptasensor utilized a DNA nanosphere structure and a complementary aptamer to specifically detect mucin 1 as a marker for CTCs. The assay exhibited high specificity and sensitivity, and the results were consistent with other detection methods.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Danni Xue, Xing Dai, Jialong Zhao, Jiayao Zhang, Huan Liu, Kui Liu, Tao Xu, Chenjie Gu, Xingfei Zhou, Tao Jiang
Summary: In this study, a dual-enhancement SERS substrate based on Ti3C2TX and Ag nanocubes was fabricated for precise quantification of ritonavir and ibrutinib in serum. The formation of numerous electromagnetic hotspots between Ag nanocubes facilitated effective photo-induced charge transfer. The composite substrate showed excellent sensitivity, achieving low detection limits and high recoveries, making it promising for monitoring and identification of clinical blood drug concentration.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Tenghua Zhang, Zihui Xie, Xiaohe Zheng, Yuxin Liang, Yao Lu, Hankang Zhong, Feiyang Qian, Yuqing Zhu, Ruiting Sun, Yan Sheng, Jiaming Hu
Summary: This study reports a technology based on cationic lipid-polymer hybrid nanoparticles for efficient extracellular vesicle (EV) enrichment and in-situ detection of internal microRNAs. The technology demonstrates high EV enrichment efficiency and sensitive internal RNA detection, making it potentially useful for early pancreatic cancer diagnosis.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Wenjie Dai, Gaoxu Chen, Xiaoyan Wang, Shujun Zhen, Chengzhi Huang, Lei Zhan, Yuanfang Li
Summary: In this study, a novel metal organic gel (MOG) with dual electrochemiluminescence (ECL) properties was prepared by simple mixing. The MOG exhibited strong and stable anodic and cathodic ECL signals. By utilizing this MOG, an ECL resonance energy transfer (ECL-RET) biosensor was constructed for ultrasensitive detection of a specific gene. The study developed a straightforward technique for obtaining a single luminescent material with dual signals and expanded the analytical application of MOGs in the realm of ECL.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Lais Canniatti Brazaca, Amanda Hikari Imamura, Rodrigo Vieira Blasques, Jessica Rocha Camargo, Bruno Campos Janegitz, Emanuel Carrilho
Summary: The use of microfluidic paper-based analytical devices (muPADs) for medical diagnosis is a growing trend due to their low cost, easy use, simple manufacturing, and potential for application in low-resource settings. This review focuses on the advances in muPADs for medical diagnostics, discussing their use in detecting various biomarkers in common human biofluids. The challenges of biomarker detection in each sample are examined, along with innovative techniques to overcome these limitations. The commercialization difficulties of muPADs are also considered, along with future trends such as wearable devices and integrated platforms.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Minghong Jian, Xudong Sun, Hua Zhang, Xiaotong Li, Shasha Li, Zhenxin Wang
Summary: Matrix metalloproteinases (MMPs) are attractive biomarkers for cancer diagnosis and treatment, but their low abundance in biological samples, especially in the early stages of tumors, makes it challenging to precisely analyze MMP activities. In this study, a peptide microarray-based metal-enhanced fluorescence assay (PMMEFA) is proposed as a sensitive and specific method to simultaneously detect MMP-1, -2, -3, -7, -9, and -13 activities. The PMMEFA showed excellent sensitivity and was capable of detecting MMP activities in various matrices.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Kyung Ho Kim, Eunsu Ryu, Zinah Hilal Khaleel, Sung Eun Seo, Lina Kim, Yong Ho Kim, Hyun Gyu Park, Oh Seok Kwon
Summary: We have developed a novel strategy for discriminative detection of SARS-CoV-2 variants using the plasmonic photothermal effect of gold nanofilms and digital polymerase chain reaction (dPCR) technology. With this method, we were able to detect the delta and omicron variants with high sensitivity within 25 minutes from COVID-19 patients' clinical samples, making it a rapid and accurate point-of-care testing tool.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Zepeng Kang, Yuanming Wang, Haiyan Song, Xueli Wang, Job Zhang, Zhiguang Zhu
Summary: By designing a wearable and flexible lactic-acid/O2 EBFC with an air-breathing biocathode, the limitations of biocathode are effectively solved. The optimal performance conditions are determined through experiments, and the EBFC is successfully applied to power a low-power device.
BIOSENSORS & BIOELECTRONICS
(2024)
Article
Biophysics
Huayun Chen, Zhiheng You, Yuhui Hong, Xiao Wang, Mingming Zhao, Yushi Luan, Yibin Ying, Yixian Wang
Summary: This study developed a colorimetric sensor array using gas-responsive two-dimensional metal-organic framework (MOF) composites for highly sensitive detection of volatile organic compounds (VOCs). The dye/Zn-2(bim)(4) composites-based sensor arrays showed enhanced sensitivity and anti-interference properties. The findings demonstrate the potential use of dye/Zn-2(bim)(4) sensor arrays for early perception of plant diseases.
BIOSENSORS & BIOELECTRONICS
(2024)
