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Freire MS, Silva HJB, Albuquerque GM, Monte JP, Lima MTA, Silva JJ, Pereira GAL, Pereira G. Advances on chalcogenide quantum dots-based sensors for environmental pollutants monitoring. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 931:172848. [PMID: 38703843 DOI: 10.1016/j.scitotenv.2024.172848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/23/2024] [Accepted: 04/26/2024] [Indexed: 05/06/2024]
Abstract
Water contamination represents a significant ecological impact with global consequences, contributing to water scarcity worldwide. The presence of several pollutants, including heavy metals, pharmaceuticals, pesticides, and pathogens, in water resources underscores a pressing global concern, prompting the European Union (EU) to establish a Water Watch List to monitor the level of these substances. Nowadays, the standard methods used to detect and quantify these contaminants are mainly liquid or gas chromatography coupled with mass spectrometry (LC/GC-MS). While these methodologies offer precision and accuracy, they require expensive equipment and experienced technicians, and cannot be used on the field. In this context, chalcogenide quantum dots (QDs)-based sensors have emerged as promising, user-friendly, practical, and portable tools for environmental monitoring. QDs are semiconductor nanocrystals that possess excellent properties, and have demonstrated versatility across various sensor types, such as fluorescent, electrochemical, plasmonic, and colorimetric ones. This review summarizes recent advances (2019-2023) in the use of chalcogenide QDs for environmental sensing, highlighting the development of sensors capable of detect efficiently heavy metals, anions, pharmaceuticals, pesticides, endocrine disrupting compounds, organic dyes, toxic gases, nitroaromatics, and pathogens.
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Affiliation(s)
- Mércia S Freire
- Departamento de Química Fundamental, Universidade Federal de Pernambuco, Recife, Brazil
| | - Hitalo J B Silva
- Departamento de Química Fundamental, Universidade Federal de Pernambuco, Recife, Brazil
| | | | - Joalen P Monte
- Departamento de Química Fundamental, Universidade Federal de Pernambuco, Recife, Brazil
| | - Max T A Lima
- Departamento de Química Fundamental, Universidade Federal de Pernambuco, Recife, Brazil
| | - Jailson J Silva
- Departamento de Química Fundamental, Universidade Federal de Pernambuco, Recife, Brazil
| | - Giovannia A L Pereira
- Departamento de Química Fundamental, Universidade Federal de Pernambuco, Recife, Brazil.
| | - Goreti Pereira
- Departamento de Química Fundamental, Universidade Federal de Pernambuco, Recife, Brazil; Departamento de Química & CESAM, Universidade de Aveiro, Aveiro, Portugal.
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Stuart DD, Van Zant W, Valiulis S, Malinick AS, Hanson V, Cheng Q. Trends in surface plasmon resonance biosensing: materials, methods, and machine learning. Anal Bioanal Chem 2024:10.1007/s00216-024-05367-w. [PMID: 38839686 DOI: 10.1007/s00216-024-05367-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/13/2024] [Accepted: 05/27/2024] [Indexed: 06/07/2024]
Abstract
Surface plasmon resonance (SPR) proves to be one of the most effective methods of label-free detection and has been integral for the study of biomolecular interactions and the development of biosensors. This trend delves into the latest SPR research and progress built upon the Kretschmann configuration, a pivotal platform, and highlights three key developments that have enhanced the capabilities of the technique. We will first cover a range of explorations of novel plasmonic materials that have shaped SPR performance. Innovative signal transduction and collection, which leverages traditional materials and emerging alternatives, will then be discussed. Finally, the evolving landscape of data analysis, including the integration of machine learning algorithms to navigate complex SPR datasets, will be reviewed. We will also discuss the implementation of these improvements that have enabled new biosensing functions. These advancements not only pave the way for enhanced biosensing in general but also open new avenues for the technique to play a more significant role in research concerning human health.
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Affiliation(s)
- Daniel D Stuart
- Department of Chemistry, University of California, Riverside, CA, 92521, USA
| | - Westley Van Zant
- Department of Chemistry, University of California, Riverside, CA, 92521, USA
| | - Santino Valiulis
- Department of Chemistry, University of California, Riverside, CA, 92521, USA
| | | | - Victor Hanson
- Department of Chemistry, University of California, Riverside, CA, 92521, USA
| | - Quan Cheng
- Department of Chemistry, University of California, Riverside, CA, 92521, USA.
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Pathak A, Verma N, Tripathi S, Mishra A, Poluri KM. Nanosensor based approaches for quantitative detection of heparin. Talanta 2024; 273:125873. [PMID: 38460425 DOI: 10.1016/j.talanta.2024.125873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 02/23/2024] [Accepted: 03/03/2024] [Indexed: 03/11/2024]
Abstract
Heparin, being a widely employed anticoagulant in numerus clinical complications, requires strict quantification and qualitative screening to ensure the safety of patients from potential threat of thrombocytopenia. However, the intricacy of heparin's chemical structures and low abundance hinders the precise monitoring of its level and quality in clinical settings. Conventional laboratory assays have limitations in sensitivity and specificity, necessitating the development of innovative approaches. In this context, nanosensors emerged as a promising solution due to enhanced sensitivity, selectivity, and ability to detect heparin even at low concentrations. This review delves into a range of sensing approaches including colorimetric, fluorometric, surface-enhanced Raman spectroscopy, and electrochemical techniques using different types of nanomaterials, thus providing insights of its principles, capabilities, and limitations. Moreover, integration of smart-phone with nanosensors for point of care diagnostics has also been explored. Additionally, recent advances in nanopore technologies, artificial intelligence (AI) and machine learning (ML) have been discussed offering specificity against contaminants present in heparin to ensure its quality. By consolidating current knowledge and highlighting the potential of nanosensors, this review aims to contribute to the advancement of efficient, reliable, and economical heparin detection methods providing improved patient care.
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Affiliation(s)
- Aakanksha Pathak
- Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
| | - Nishchay Verma
- Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
| | - Shweta Tripathi
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India
| | - Amit Mishra
- Cellular and Molecular Neurobiology Unit, Indian Institute of Technology Jodhpur, Jodhpur, 342011, Rajasthan, India
| | - Krishna Mohan Poluri
- Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India; Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India.
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Zhang Z, Yu C, Wu Y, Wang Z, Xu H, Yan Y, Zhan Z, Yin S. Semiconducting polymer dots for multifunctional integrated nanomedicine carriers. Mater Today Bio 2024; 26:101028. [PMID: 38590985 PMCID: PMC11000120 DOI: 10.1016/j.mtbio.2024.101028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/09/2024] [Accepted: 03/13/2024] [Indexed: 04/10/2024] Open
Abstract
The expansion applications of semiconducting polymer dots (Pdots) among optical nanomaterial field have long posed a challenge for researchers, promoting their intelligent application in multifunctional nano-imaging systems and integrated nanomedicine carriers for diagnosis and treatment. Despite notable progress, several inadequacies still persist in the field of Pdots, including the development of simplified near-infrared (NIR) optical nanoprobes, elucidation of their inherent biological behavior, and integration of information processing and nanotechnology into biomedical applications. This review aims to comprehensively elucidate the current status of Pdots as a classical nanophotonic material by discussing its advantages and limitations in terms of biocompatibility, adaptability to microenvironments in vivo, etc. Multifunctional integration and surface chemistry play crucial roles in realizing the intelligent application of Pdots. Information visualization based on their optical and physicochemical properties is pivotal for achieving detection, sensing, and labeling probes. Therefore, we have refined the underlying mechanisms and constructed multiple comprehensive original mechanism summaries to establish a benchmark. Additionally, we have explored the cross-linking interactions between Pdots and nanomedicine, potential yet complete biological metabolic pathways, future research directions, and innovative solutions for integrating diagnosis and treatment strategies. This review presents the possible expectations and valuable insights for advancing Pdots, specifically from chemical, medical, and photophysical practitioners' standpoints.
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Affiliation(s)
- Ze Zhang
- Department of Hepatobiliary and Pancreatic Surgery II, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin 130012, PR China
| | - Chenhao Yu
- State Key Laboratory of Integrated Optoelectronic, College of Electronic Science and Engineering, Jilin University, No.2699 Qianjin Street, Changchun, Jilin 130012, PR China
| | - Yuyang Wu
- State Key Laboratory of Integrated Optoelectronic, College of Electronic Science and Engineering, Jilin University, No.2699 Qianjin Street, Changchun, Jilin 130012, PR China
| | - Zhe Wang
- State Key Laboratory of Integrated Optoelectronic, College of Electronic Science and Engineering, Jilin University, No.2699 Qianjin Street, Changchun, Jilin 130012, PR China
| | - Haotian Xu
- Department of Hepatobiliary and Pancreatic Surgery, The Third Bethune Hospital of Jilin University, Changchun, Jilin 130000, PR China
| | - Yining Yan
- Department of Radiology, The Third Bethune Hospital of Jilin University, Changchun, Jilin 130000, PR China
| | - Zhixin Zhan
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, Jilin 130012, PR China
| | - Shengyan Yin
- State Key Laboratory of Integrated Optoelectronic, College of Electronic Science and Engineering, Jilin University, No.2699 Qianjin Street, Changchun, Jilin 130012, PR China
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Kelani KM, Ibrahim MM, Ramadan NK, Elzanfaly ES, Eid SM. Comparing silver and gold nanoislands' surface plasmon resonance for bisacodyl and its metabolite quantification in human plasma. BMC Chem 2024; 18:56. [PMID: 38521957 PMCID: PMC10960993 DOI: 10.1186/s13065-024-01157-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 03/07/2024] [Indexed: 03/25/2024] Open
Abstract
Gold and silver nanoparticles have witnessed increased scientific interest due to their colourful colloidal solutions and exceptional applications. Comparing the localized surface plasmon resonance (LSPR) of gold and silver nanoparticles is crucial for understanding and optimizing their optical properties. This comparison informs the design of highly sensitive plasmonic sensors, aids in selecting the most suitable nanoparticles for applications like surface-enhanced infrared spectroscopy (SEIRA) and biomedical imaging, and guides the choice between gold and silver nanoparticles based on their catalytic and photothermal properties. Ultimately, the study of LSPR facilitates the tailored use of these nanoparticles in diverse scientific and technological applications. Two SEIRA methods combined with partial least squares regression (PLSR) chemometric tools were developed. This development is based on the synthesis of homogeneous, high-dense deposited metal nanoparticle islands over the surface of glass substrates to be used as lab-on-chip SEIRA sensors for the determination of bisacodyl (BIS) and its active metabolite in plasma. SEM micrographs revealed the formation of metallic islands of colloidal citrate-capped gold and silver nanoparticles of average sizes of 29.7 and 15 nm, respectively. BIS and its active metabolite were placed on the nanoparticles' coated substrates to be directly measured, then PLSR chemometric modelling was used for the quantitative determinations. Plasmonic citrate-capped gold nanoparticle substrates showed better performance than those prepared using citrate-capped silver nanoparticles in terms of preparation time, enhancement factor, PLSR model prediction, and quantitative results. This study offers a way to determine BIS and its active metabolite in the concentration range 15-240 ng/mL in human plasma using inexpensive disposable glass-coated substrates that can be prepared in 1 h to get results in seconds with good recovery between 98.77 and 100.64%. The sensors provided fast, simple, selective, molecular-specific and inexpensive procedures to determine molecules in their pure form and biological fluid.
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Affiliation(s)
- Khadiga M Kelani
- Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt
| | - Maha M Ibrahim
- Analytical Chemistry Department, Faculty of Pharmacy, Modern University for Technology and Information, Cairo, Egypt
| | - Nesreen K Ramadan
- Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt
| | - Eman S Elzanfaly
- Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt
- Pharmaceutical Chemistry Department, Faculty of Pharmacy and Drug Technology, Egyptian Chinese University, Cairo, Egypt
| | - Sherif M Eid
- Analytical Chemistry Department, Faculty of Pharmacy, 6 October University, October City, Egypt.
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Zamudio Cañas R, Jaramillo Flores ME, Vallejo Ruiz V, Delgado Macuil RJ, López Gayou V. Detection of Sialic Acid to Differentiate Cervical Cancer Cell Lines Using a Sambucus nigra Lectin Biosensor. BIOSENSORS 2024; 14:34. [PMID: 38248411 PMCID: PMC10812977 DOI: 10.3390/bios14010034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/28/2023] [Accepted: 01/08/2024] [Indexed: 01/23/2024]
Abstract
Pap smear screening is a widespread technique used to detect premalignant lesions of cervical cancer (CC); however, it lacks sensitivity, leading to identifying biomarkers that improve early diagnosis sensitivity. A characteristic of cancer is the aberrant sialylation that involves the abnormal expression of α2,6 sialic acid, a specific carbohydrate linked to glycoproteins and glycolipids on the cell surface, which has been reported in premalignant CC lesions. This work aimed to develop a method to differentiate CC cell lines and primary fibroblasts using a novel lectin-based biosensor to detect α2,6 sialic acid based on attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) and chemometric. The biosensor was developed by conjugating gold nanoparticles (AuNPs) with 5 µg of Sambucus nigra (SNA) lectin as the biorecognition element. Sialic acid detection was associated with the signal amplification in the 1500-1350 cm-1 region observed by the surface-enhanced infrared absorption spectroscopy (SEIRA) effect from ATR-FTIR results. This region was further analyzed for the clustering of samples by applying principal component analysis (PCA) and confidence ellipses at a 95% interval. This work demonstrates the feasibility of employing SNA biosensors to discriminate between tumoral and non-tumoral cells, that have the potential for the early detection of premalignant lesions of CC.
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Affiliation(s)
- Ricardo Zamudio Cañas
- Laboratorio de Bionanotecnología, Centro de Investigación en Biotecnología Aplicada, Instituto Politécnico Nacional (IPN-CIBA), Tepetitla 90700, Mexico; (R.Z.C.); (R.J.D.M.)
| | - María Eugenia Jaramillo Flores
- Laboratorio de Biopolímeros, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional (IPN-ENCB), Ciudad de México 07738, Mexico;
| | - Verónica Vallejo Ruiz
- Laboratorio de Biología Molecular, Centro de Investigación Biomédica de Oriente, Instituto Mexicano del Seguro Social, Metepec 74360, Mexico;
| | - Raúl Jacobo Delgado Macuil
- Laboratorio de Bionanotecnología, Centro de Investigación en Biotecnología Aplicada, Instituto Politécnico Nacional (IPN-CIBA), Tepetitla 90700, Mexico; (R.Z.C.); (R.J.D.M.)
| | - Valentín López Gayou
- Laboratorio de Bionanotecnología, Centro de Investigación en Biotecnología Aplicada, Instituto Politécnico Nacional (IPN-CIBA), Tepetitla 90700, Mexico; (R.Z.C.); (R.J.D.M.)
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