1
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Chamani M, Asgari S, Najmeddin A, Pourjavadi A, Amin M, Gholami M, Dorkoosh FA. Antibacterial activity of a silver-incorporated vancomycin-modified mesoporous silica against methicillin-resistant Staphylococcus aureus. J Biomater Appl 2024:8853282241274517. [PMID: 39193668 DOI: 10.1177/08853282241274517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2024]
Abstract
Since conventional antibiotics are almost ineffective on methicillin-resistant Staphylococcus aureus (MRSA) strains, designing their antibacterial alternatives is necessary. Besides, the use of vancomycin is applied for specific detection of the bacteria. Silver-incorporated vancomycin-modified mesoporous silica nanoparticles (MSNs@Van@Ag NPs) were designed for detection and treatment of MRSA bacteria. Mesoporous silica nanoparticles (MSNs) were synthesized through the template method, modified with vancomycin, and finally incorporated with silver nanoparticles (Ag NPs). The MSNs@Van@Ag NPs with a homogenously spherical shape, average size of 50-100 nm, surface area of 955.8 m2/g, and thermal stability up to 200°C were successfully characterized. The amount of Ag incorporated into the MSNs@Van@Ag was calculated at 3.9 ppm and the release amount of Ag was received at 2.92 ppm (75%) after 100 h. The in vitro antibacterial susceptibility test showed the MIC of 100 μg mL-1 for MSNs@Van and 50 μg mL-1 for MSNs@Van@Ag, showing in vitro enhanced effect of Ag and vancomycin in the bactericidal process. An in vivo acute pneumonia model was performed and biochemical assays and pathological studies confirmed the nanomedicine's short-term safety for in vivo application. Cytokine assay using ELISA showed that MSN@Van@Ag causes a reduction of pro-inflammatory cytokines and bacterial proliferation leading to alleviation of inflammatory response.
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Affiliation(s)
- Mehdi Chamani
- Department of Pharmaceutics, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Shadi Asgari
- Polymer Research Laboratory, Department of Chemistry, Sharif University of Technology, Tehran, Iran
| | - Ali Najmeddin
- Department of Pharmaceutics, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Pourjavadi
- Polymer Research Laboratory, Department of Chemistry, Sharif University of Technology, Tehran, Iran
| | - Mohsen Amin
- Department of Drug and Food Control, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
- Pharmaceutical Microbiology Group, Pharmaceutical Quality Assurance Research Center, The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdi Gholami
- Department of Toxicology & Pharmacology, Faculty of Pharmacy, Toxicology and Poisoning Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farid Abedin Dorkoosh
- Department of Pharmaceutics, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
- Medical Biomaterial Research Center (MBRC), Tehran University of Medical Sciences, Tehran, Iran
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2
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Tan H, Wang Z, Fu R, Zhang X, Su Z. Nanomaterials revolutionize biosensing: 0D-3D designs for ultrasensitive detection of microorganisms and viruses. J Mater Chem B 2024; 12:7760-7786. [PMID: 39036967 DOI: 10.1039/d4tb01077a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2024]
Abstract
Various diseases caused by harmful microorganisms and viruses have caused serious harm and huge economic losses to society. Thus, rapid detection of harmful microorganisms and viruses is necessary for disease prevention and treatment. Nanomaterials have unique properties that other materials do not possess, such as a small size effect and quantum size effect. Introducing nanomaterials into biosensors improves the performance of biosensors for faster and more accurate detection of microorganisms and viruses. This review aims to introduce the different kinds of biosensors and the latest advances in the application of nanomaterials in biosensors. In particular, this review focuses on describing the physicochemical properties of zero-, one-, two-, and three-dimensional nanostructures as well as nanoenzymes. Finally, this review discusses the applications of nanobiosensors in the detection of microorganisms and viruses and the future directions of nanobiosensors.
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Affiliation(s)
- Haokun Tan
- State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Advanced Functional Polymer Composites, Beijing University of Chemical Technology, 100029 Beijing, China.
| | - ZhiChao Wang
- Precision Forestry Key Laboratory of Beijing, Beijing Forestry University, 100083 Beijing, China.
| | - Rao Fu
- State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Advanced Functional Polymer Composites, Beijing University of Chemical Technology, 100029 Beijing, China.
| | - Xiaoyuan Zhang
- Precision Forestry Key Laboratory of Beijing, Beijing Forestry University, 100083 Beijing, China.
| | - Zhiqiang Su
- State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Advanced Functional Polymer Composites, Beijing University of Chemical Technology, 100029 Beijing, China.
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3
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Cheng K, Wan S, Chen SY, Yang JW, Wang HL, Xu CH, Qiao SH, Yang L. Nuclear matrix protein 22 in bladder cancer. Clin Chim Acta 2024; 560:119718. [PMID: 38718852 DOI: 10.1016/j.cca.2024.119718] [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: 03/28/2024] [Revised: 05/02/2024] [Accepted: 05/05/2024] [Indexed: 05/19/2024]
Abstract
Bladder cancer (BC) is ranked as the ninth most common malignancy worldwide, with approximately 570,000 new cases reported annually and over 200,000 deaths. Cystoscopy remains the gold standard for the diagnosis of BC, however, its invasiveness, cost, and discomfort have driven the demand for the development of non-invasive, cost-effective alternatives. Nuclear matrix protein 22 (NMP22) is a promising non-invasive diagnostic tool, having received FDA approval. Traditional methods for detecting NMP22 require a laboratory environment equipped with specialized equipment and trained personnel, thus, the development of NMP22 detection devices holds substantial potential for application. In this review, we evaluate the NMP22 sensors developed over the past decade, including electrochemical, colorimetric, and fluorescence biosensors. These sensors have enhanced detection sensitivity and overcome the limitations of existing diagnostic methods. However, many emerging devices exhibit deficiencies that limit their potential clinical use, therefore, we propose how sensor design can be optimized to enhance the likelihood of clinical translation and discuss the future applications of NMP22 as a legacy biomarker, providing insights for the design of new sensors.
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Affiliation(s)
- Kun Cheng
- Department of Urology, Lanzhou University Second Hospital, Lanzhou 730000, PR China; Gansu Province Clinical Research Center for Urology, Lanzhou 730000, PR China
| | - Shun Wan
- Department of Urology, Lanzhou University Second Hospital, Lanzhou 730000, PR China; Gansu Province Clinical Research Center for Urology, Lanzhou 730000, PR China
| | - Si-Yu Chen
- Department of Urology, Lanzhou University Second Hospital, Lanzhou 730000, PR China; Gansu Province Clinical Research Center for Urology, Lanzhou 730000, PR China
| | - Jian-Wei Yang
- Department of Urology, Lanzhou University Second Hospital, Lanzhou 730000, PR China; Gansu Province Clinical Research Center for Urology, Lanzhou 730000, PR China
| | - Hai-Long Wang
- Department of Urology, Lanzhou University Second Hospital, Lanzhou 730000, PR China; Gansu Province Clinical Research Center for Urology, Lanzhou 730000, PR China
| | - Chang-Hong Xu
- Department of Urology, Lanzhou University Second Hospital, Lanzhou 730000, PR China; Gansu Province Clinical Research Center for Urology, Lanzhou 730000, PR China
| | - Si-Hang Qiao
- Department of Urology, Lanzhou University Second Hospital, Lanzhou 730000, PR China; Gansu Province Clinical Research Center for Urology, Lanzhou 730000, PR China
| | - Li Yang
- Department of Urology, Lanzhou University Second Hospital, Lanzhou 730000, PR China; Gansu Province Clinical Research Center for Urology, Lanzhou 730000, PR China.
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4
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Dong M, Jiang D, Wang W, Shiigi H, Chen X, Chen Z. A dual-mode biosensor based on silica inverse opal photonic crystals modulated electrochemiluminescence and dye displacement colorimetry for the sensitive detection of synthetic cathinone in water environment. CHEMOSPHERE 2024; 354:141671. [PMID: 38479682 DOI: 10.1016/j.chemosphere.2024.141671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 03/01/2024] [Accepted: 03/07/2024] [Indexed: 03/19/2024]
Abstract
To address the challenges posed by signal capacity limitations and the reliance of sensing methods on single analytical information, this study developed an electrochemiluminescence (ECL) and colorimetric dual-mode sensing platform for the precise detection of 4-chloroethcathinone (4-CEC) in water environments. Firstly, the accurate alignment of the reflection wavelength of appropriately sized silica inverse opal photonic crystals (SIOPCs) with the ECL emission wavelength of luminescent metal-organic frameworks (PCN-224) has been achieved via diameter modulation. This innovative design, which cleverly utilized the band-edge effect, improved the luminous intensity of the ECL sensor, leading to a significant boost in analytical performance. Secondly, the establishment of a colorimetric detection method for confirming the presence of 4-CEC in samples through visual observation of color changes was achieved by employing an aptamer-based dye displacement reaction, utilizing differential binding affinities between the aptamer and both the sulforhodamine B (SRB) and 4-CEC. Under the optimal experimental conditions, the dual-mode sensor demonstrated ECL detection of limits (LOD) of 2.6 × 10-13 g/L and colorimetric LOD of 6.5 ng/L for 4-CEC. These findings highlighted the tremendous potential of developing streamlined and efficient dual-signal readout platforms using ECL aptamer sensors for the precise determination of other Synthetic cathinones (SCs) in water environments.
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Affiliation(s)
- Meihua Dong
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Ding Jiang
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China; Advanced Catalysis and Green Manufacturing Collaborative Innovation Center; Changzhou University, Changzhou 213164, China
| | - Wenchang Wang
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China; Advanced Catalysis and Green Manufacturing Collaborative Innovation Center; Changzhou University, Changzhou 213164, China; Analysis and Testing Center, NERC Biomass of Changzhou University, China
| | - Hiroshi Shiigi
- Osaka Metropolitan University, Department of Applied Chemistry, 1-1 Gakuen, Naka, Sakai, Osaka 599-8531, Japan
| | - Xiaohui Chen
- School of Chemistry and Material Engineering, Changzhou Institute of Technology, Changzhou 213032, China
| | - Zhidong Chen
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China; Advanced Catalysis and Green Manufacturing Collaborative Innovation Center; Changzhou University, Changzhou 213164, China.
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5
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Li J, Yu C, Yuan H, Guo T, Wang L, Fu Z. Phages modified hydrogel pellet assembled in 3D printed both-in-one device for detecting Pseudomonas aeruginosa based on colorimetric and pressure readout modes. J Pharm Biomed Anal 2024; 240:115931. [PMID: 38183730 DOI: 10.1016/j.jpba.2023.115931] [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: 10/20/2023] [Revised: 12/01/2023] [Accepted: 12/18/2023] [Indexed: 01/08/2024]
Abstract
Pseudomonas aeruginosa (P. aeruginosa) with noticeable drug-resistance profile is one of the most pernicious pathogens that attracts major public health concerns. Herein, a 3D printed device combined with hydrogel pellet modified with phages was designed for point-of-care testing (POCT) of this pathogen with both colorimetric and pressure readout modes. A P. aeruginosa phage belonging to the family of Podoviridae was isolated from river water and noted as vB_PaeP-JZ1 (JZ1). Due to its host specificity, phage JZ1 was used as a recognizing agent for modifying the hydrogel pellet, and the modified hydrogel pellet was assembled into the 3D printed device to act as the sensing interface. Polymyxin B (PMB) was tagged with Pd@Pt core-shell nanodendrites (Pd@PtNDs) showing excellent peroxidase-like activity to act as the colorimetric and pressure signal tracer. P. aeruginosa can be quantified within the concentration ranges of 2.6 × 103 cfu mL-1 - 2.6 × 108 cfu mL-1 and 2.6 × 102 cfu mL-1 - 2.6 × 107 cfu mL-1 with colorimetric and pressure readout modes, respectively. The both modes can achieve quantitation of P. aeruginosa within 25 min. Thus the "both-in-one" 3D printed device with dual-mode readout function offers a rapid, sensitive, and specific platform for POCT of pathogenic bacteria.
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Affiliation(s)
- Jizhou Li
- NMPA Key Laboratory for Quality Monitoring of Narcotic Drugs and Psychotropic Substances, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Chong Yu
- NMPA Key Laboratory for Quality Monitoring of Narcotic Drugs and Psychotropic Substances, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Hongwei Yuan
- NMPA Key Laboratory for Quality Monitoring of Narcotic Drugs and Psychotropic Substances, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Ting Guo
- NMPA Key Laboratory for Quality Monitoring of Narcotic Drugs and Psychotropic Substances, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Lin Wang
- NMPA Key Laboratory for Quality Monitoring of Narcotic Drugs and Psychotropic Substances, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Zhifeng Fu
- NMPA Key Laboratory for Quality Monitoring of Narcotic Drugs and Psychotropic Substances, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China.
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6
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Pang L, Wang L, Liang Y, Wang Z, Zhang W, Zhao Q, Yang X, Jiang Y. G-triplex/hemin DNAzyme mediated colorimetric aptasensor for Escherichia coli O157:H7 detection based on exonuclease III-assisted amplification and aptamers-functionalized magnetic beads. Talanta 2024; 269:125457. [PMID: 38039678 DOI: 10.1016/j.talanta.2023.125457] [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: 02/23/2023] [Revised: 09/25/2023] [Accepted: 11/20/2023] [Indexed: 12/03/2023]
Abstract
Escherichia coli O157: H7 (E. coli O157: H7) is one of the most common foodborne pathogens and is widespread in food and the environment. Thus, it is significant for rapidly detecting E. coli O157: H7. In this study, a colorimetric aptasensor based on aptamer-functionalized magnetic beads, exonuclease III (Exo III), and G-triplex/hemin was proposed for the detection of E. coli O157: H7. The functional hairpin HP was designed in the system, which includes two parts of a stem containing the G-triplex sequence and a tail complementary to cDNA. E. coli O157: H7 competed to bind the aptamer (Apt) in the Apt-cDNA complex to obtain cDNA. The cDNA then bound to the tail of HP to trigger Exo III digestion and release the single-stranded DNA containing the G-triplex sequence. G-triplex/hemin DNAzyme could catalyze TMB to produce visible color changes and detectable absorbance signals in the presence of H2O2. Based on the optimal conditions, E. coli O157: H7 could be detected down to 1.3 × 103 CFU/mL, with a wide linear range from 1.3 × 103 to 1.3 × 107 CFU/mL. This method had a distinguished ability to non-target bacteria, which showed good specificity. In addition, the system was successfully applied to detect E. coli O157: H7 in milk samples.
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Affiliation(s)
- Lidong Pang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin, 150030, China
| | - Ling'e Wang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin, 150030, China
| | - Yaqi Liang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin, 150030, China
| | - Zhenghui Wang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin, 150030, China
| | - Wei Zhang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin, 150030, China
| | - Qianyu Zhao
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin, 150030, China
| | - Xinyan Yang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin, 150030, China.
| | - Yujun Jiang
- Key Laboratory of Dairy Science, Ministry of Education, College of Food Science, Northeast Agricultural University, Harbin, 150030, China.
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7
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Hassan NF, Khattab TA, Fouda MMG, Abu Zaid AS, Aboshanab KM. Electrospun cellulose nanofibers immobilized with anthocyanin extract for colorimetric determination of bacteria. Int J Biol Macromol 2024; 257:128817. [PMID: 38103663 DOI: 10.1016/j.ijbiomac.2023.128817] [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: 09/27/2023] [Revised: 12/11/2023] [Accepted: 12/13/2023] [Indexed: 12/19/2023]
Abstract
A novel smart biochromic textile sensor was developed by immobilizing anthocyanin extract into electrospun cellulose acetate nanofibers to detect bacteria for numerous potential uses, such as healthcare monitoring. Red-cabbage was employed to extract anthocyanin, which was then applied to cellulose acetate nanofibers treated with potassium aluminum sulfate as a mordant. Thus, nanoparticles (NPs) of mordant/anthocyanin (65-115 nm) were generated in situ on the surface of cellulose acetate nanofibrous film. The pH of a growing bacterial culture medium is known to change when bacteria multiply. The absorbance spectra revealed a bluish shift from 595 nm (purple) to 448 nm (green) during the growth of Gram-negative bacteria (E. coli) owing to the discharge of total volatile basic amines as secretion metabolites. On the other hand, the absorption spectra of a growing bacterial culture containing Gram-positive bacteria (L. acidophilus) showed a blue shift from 595 nm (purplish) to 478 nm (pink) as a result of releasing lactic acid as a secretion metabolite. Both absorbance spectra and CIE Lab parameters were used to determine the color shifts. Various analytical techniques were utilized to study the morphology of the anthocyanin-encapsulated electrospun cellulose nanofibers. The cytotoxic effects of the colored cellulose acetate nanofibers were tested.
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Affiliation(s)
- Nada F Hassan
- Department of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Cairo 11566, Egypt
| | - Tawfik A Khattab
- Dyeing, Printing and Auxiliaries Department, Textile Research and Technology Institute, National Research Centre, 33 El-Buhouth Street, Dokki, Cairo 12622, Egypt.
| | - Moustafa M G Fouda
- Pre-Treatment and Finishing of Cellulosic-based Fiber Department, Textile Research and Technology Institute (TRT), National Research Centre, 33 El-Buhouth Street, Dokki, Cairo, 12622, Egypt
| | - Ahmed S Abu Zaid
- Department of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Cairo 11566, Egypt.
| | - Khaled M Aboshanab
- Department of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Cairo 11566, Egypt.
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8
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Li J, Tang Y, Bai Y, Zhang Z, Zhang S, Chen T, Zhao F, Guo Z. A pomegranate seed-structured nanozyme-based colorimetric immunoassay for highly sensitive and specific biosensing of Staphylococcus aureus. Analyst 2024; 149:563-570. [PMID: 38099463 DOI: 10.1039/d3an01621h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
Staphylococcus aureus (S. aureus) infections are a serious threat to human health. The development of rapid and sensitive detection methods for pathogenic bacteria is crucial for accurate drug administration. In this research, by combining the advantages of enzyme-linked immunosorbent assay (ELISA), we synthesized nanozymes with high catalytic performance, namely pomegranate seed-structured bimetallic gold-platinum nanomaterials (Ps-PtAu NPs), which can catalyze a colorless TMB substrate into oxidized TMB (oxTMB) with blue color to achieve colorimetric analysis of S. aureus. Under the optimal conditions, the proposed biosensor could quantitatively detect S. aureus at levels ranging from 1.0 × 101 to 1.0 × 106 CFU mL-1 with a limit of detection (LOD) of 3.9 CFU mL-1. Then, an integrated color picker APP on a smartphone enables on-site point-of-care testing (POCT) of S. aureus with LOD as low as 1 CFU mL-1. Meanwhile, the proposed biosensor is successfully applied to the detection of S. aureus in clinical samples with high sensitivity and specificity.
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Affiliation(s)
- Jinghui Li
- Clinical School of Thoracic, Tianjin Medical University, Tianjin, 300070, China
- Chest Hospital, Tianjin University, Tianjin, 300072, China.
| | - Yipeng Tang
- Clinical School of Thoracic, Tianjin Medical University, Tianjin, 300070, China
- Chest Hospital, Tianjin University, Tianjin, 300072, China.
| | - Yunpeng Bai
- Chest Hospital, Tianjin University, Tianjin, 300072, China.
- Tianjin Key Laboratory of Cardiovascular Emergency and Critical Care, Tianjin, 300222, China
| | - Zhejun Zhang
- Chest Hospital, Tianjin University, Tianjin, 300072, China.
| | - Shaopeng Zhang
- Chest Hospital, Tianjin University, Tianjin, 300072, China.
| | - Tongyun Chen
- Chest Hospital, Tianjin University, Tianjin, 300072, China.
- Tianjin Key Laboratory of Cardiovascular Emergency and Critical Care, Tianjin, 300222, China
| | - Feng Zhao
- Clinical School of Thoracic, Tianjin Medical University, Tianjin, 300070, China
- Chest Hospital, Tianjin University, Tianjin, 300072, China.
- Tianjin Key Laboratory of Cardiovascular Emergency and Critical Care, Tianjin, 300222, China
| | - Zhigang Guo
- Clinical School of Thoracic, Tianjin Medical University, Tianjin, 300070, China
- Chest Hospital, Tianjin University, Tianjin, 300072, China.
- Tianjin Key Laboratory of Cardiovascular Emergency and Critical Care, Tianjin, 300222, China
- Tianjin Cardiovascular Diseases Institute, Tianjin, 300222, China
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Zhang G, Huang Z, Hu L, Wang Y, Deng S, Liu D, Peng J, Lai W. Molecular Engineering Powered Dual-Readout Point-of-Care Testing for Sensitive Detection of Escherichia coli O157:H7. ACS NANO 2023; 17:23723-23731. [PMID: 38009547 DOI: 10.1021/acsnano.3c07509] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Escherichia coli O157:H7 (E. coli O157:H7) has become one of the major threats to public health and food safety. However, the culture method as a gold standard for the detection of E. coli O157:H7 requires laborious operations and a long processing time. Herein, we developed a dual-readout aggregation-induced emission nanoparticle-based lateral flow immunoassay (LFIA) for sensitive detection of E. coli O157:H7 to achieve a qualitative and quantitative assay for satisfying the applications under varying scenarios. 2,3-Bis(4-(bis(4-(tert-butyl)phenyl)amino)phenyl)fumaronitrile (BAPF), an aggregation-induced emission luminogen, was designed to achieve a strong molar extinction coefficient (3.0 × 104 M-1 cm-1) and high quantum yield (33.28%), which was further verified by a large rotation angle and low energy gap. Subsequently, BAPFs were integrated into a nanostructured system to form excellent water-soluble nanoparticles (BAPFNPs) for the detection of E. coli O157:H7 with colorimetric and fluorescent readout. The designed BAPFNPs-based LFIA (BAPFNPs-LFIA) exhibited nearly qualitative ability with gold nanoparticles-LFIA (AuNPs-LFIA) and a 9 times enhancement compared with quantum beads-LFIA (QBs-LFIA) in quantitative aspect. Especially, FL-BAPFNPs-LFIA could detect E. coli O157:H7 earlier than QBs-LFIA and AuNPs-LFIA when samples with low E. coli O157:H7 concentrations were cultured. Overall, the proposed strategy revealed that versatile BAPFNPs have great potential as reporters for dual-readout ability and enhancing detection sensitivity for rapid and accurate pathogenic bacteria assay.
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Affiliation(s)
- Gan Zhang
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Zhen Huang
- National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province 518112, China
| | - Liwen Hu
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Yumeng Wang
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Shengliang Deng
- Institute of Microbiology, Jiangxi Academy of Sciences, 330096 Nanchang, China
| | - Daofeng Liu
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Province Center for Disease Control and Prevention, 555 East Beijing Road, Nanchang 330029, China
| | - Juan Peng
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Weihua Lai
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
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10
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Zhou J, Liu Y, Du X, Gui Y, He J, Xie F, Cai J. Recent Advances in Design and Application of Nanomaterials-Based Colorimetric Biosensors for Agri-food Safety Analysis. ACS OMEGA 2023; 8:46346-46361. [PMID: 38107919 PMCID: PMC10720297 DOI: 10.1021/acsomega.3c06409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 10/12/2023] [Accepted: 11/03/2023] [Indexed: 12/19/2023]
Abstract
A colorimetric sensor detects an analyte by utilizing the optical properties of the sensor unit, such as absorption or reflection, to generate a structural color that serves as the output signal to detect an analyte. Detecting the refractive index of an analyte by recording the color change of the sensor structure on its surface has several advantages, including simple operation, low cost, suitability for onsite analysis, and real-time detection. Colorimetric sensors have drawn much attention owing to their rapidity, simplicity, high sensitivity and selectivity. This Review discusses the use of colorimetric sensors in the food industry, including their applications for detecting food contaminants. The Review also provides insight into the scope of future research in this area.
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Affiliation(s)
- Jiaojiao Zhou
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Yuantao Liu
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Xiaoping Du
- Ankang
R&D Center for Se-enriched Products, Key Laboratory of Se-enriched
Products Development and Quality Control, Ministry of Agriculture and Rural Affairs, Ankang Shaanxi 725000, China
| | - Yue Gui
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Jiangling He
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Fang Xie
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Jie Cai
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
- Key
Laboratory for Deep Processing of Major Grain and Oil, Ministry of
Education, Hubei Key Laboratory for Processing and Transformation
of Agricultural Products, Wuhan Polytechnic
University, Wuhan 430023, China
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11
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Zhu X, Kim TY, Kim SM, Luo K, Lim MC. Recent Advances in Biosensor Development for the Detection of Viral Particles in Foods: A Comprehensive Review. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:15942-15953. [PMID: 37862248 DOI: 10.1021/acs.jafc.3c05166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2023]
Abstract
Viral foodborne diseases cause serious harm to human health and the economy. Rapid, accurate, and convenient approaches for detecting foodborne viruses are crucial for preventing diseases. Biosensors integrating electrochemical and optical properties of nanomaterials have emerged as effective tools for the detection of viruses in foods. However, they still face several challenges, including substantial sample preparation and relatively poor sensitivity due to complex food matrices, which limit their field applications. Hence, the purpose of this review is to provide an overview of recent advances in biosensing techniques, including electrochemical, SERS-based, and colorimetric biosensors, for detecting viral particles in food samples, with emerging techniques for extraction/concentration of virus particles from food samples. Moreover, the principle, design, and advantages/disadvantages of each biosensing method are comprehensively described. This review covers the recent development of rapid and sensitive biosensors that can be used as new standards for monitoring food safety and food quality in the food industry.
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Affiliation(s)
- Xiaoning Zhu
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, People's Republic of China
| | - Tai-Yong Kim
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea
| | - Se-Min Kim
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea
- Department of Food Science and Technology, Jeonbuk National University, Jeonju-si, Jeollabuk-do 54896, Republic of Korea
| | - Ke Luo
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong Province 266003, People's Republic of China
| | - Min-Cheol Lim
- Research Group of Food Safety and Distribution, Korea Food Research Institute (KFRI), Wanju-gun, Jeollabuk-do 55365, Republic of Korea
- Department of Food Biotechnology, Korea University of Science and Technology, Daejeon-si 34113, Republic of Korea
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12
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Yang C, Zhang H. A review on machine learning-powered fluorescent and colorimetric sensor arrays for bacteria identification. Mikrochim Acta 2023; 190:451. [PMID: 37880465 DOI: 10.1007/s00604-023-06021-5] [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: 06/09/2023] [Accepted: 09/27/2023] [Indexed: 10/27/2023]
Abstract
Biosensors have been widely used for bacteria determination with great success. However, the "lock-and-key" methodology used by biosensors to identify bacteria has a significant limitation: it can only detect one species of bacteria. In recent years, optical (fluorescent and colorimetric) sensor arrays are gradually gaining attention from researchers as a new type of biosensor. They can acquire multiple features of a target simultaneously, form a feature pattern, and determine the bacteria species with the help of pattern recognition/machine learning algorithms. Previous reviews in this area have focused on the interaction between the sensor array and bacteria or the materials used to make the sensors. This review, on the other hand, will provide researchers with a better understanding of the field by discussing fluorescent and colorimetric sensor arrays based on the mechanism of optical signal generation. These sensor arrays will be compared based on the identified species. Finally, we will discuss the limitations of these sensor arrays and explore possible solutions.
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Affiliation(s)
- Changmao Yang
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, MOE Key Laboratory of Molecular Biophysics, Wuhan, 430074, China
| | - Houjin Zhang
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, MOE Key Laboratory of Molecular Biophysics, Wuhan, 430074, China.
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13
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Bao M, Waitkus J, Liu L, Chang Y, Xu Z, Qin P, Chen J, Du K. Micro- and nanosystems for the detection of hemorrhagic fever viruses. LAB ON A CHIP 2023; 23:4173-4200. [PMID: 37675935 DOI: 10.1039/d3lc00482a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Hemorrhagic fever viruses (HFVs) are virulent pathogens that can cause severe and often fatal illnesses in humans. Timely and accurate detection of HFVs is critical for effective disease management and prevention. In recent years, micro- and nano-technologies have emerged as promising approaches for the detection of HFVs. This paper provides an overview of the current state-of-the-art systems for micro- and nano-scale approaches to detect HFVs. It covers various aspects of these technologies, including the principles behind their sensing assays, as well as the different types of diagnostic strategies that have been developed. This paper also explores future possibilities of employing micro- and nano-systems for the development of HFV diagnostic tools that meet the practical demands of clinical settings.
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Affiliation(s)
- Mengdi Bao
- Department of Chemical and Environmental Engineering, University of California, Riverside, CA, USA.
| | - Jacob Waitkus
- Department of Chemical and Environmental Engineering, University of California, Riverside, CA, USA.
| | - Li Liu
- Department of Chemical and Environmental Engineering, University of California, Riverside, CA, USA.
| | - Yu Chang
- Department of Chemical and Environmental Engineering, University of California, Riverside, CA, USA.
| | - Zhiheng Xu
- Department of Industrial Engineering, Rochester Institute of Technology, Rochester, NY, USA
| | - Peiwu Qin
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Juhong Chen
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA, USA
| | - Ke Du
- Department of Chemical and Environmental Engineering, University of California, Riverside, CA, USA.
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14
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Celik C, Kalin G, Cetinkaya Z, Ildiz N, Ocsoy I. Recent Advances in Colorimetric Tests for the Detection of Infectious Diseases and Antimicrobial Resistance. Diagnostics (Basel) 2023; 13:2427. [PMID: 37510171 PMCID: PMC10377832 DOI: 10.3390/diagnostics13142427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/23/2023] [Accepted: 06/27/2023] [Indexed: 07/30/2023] Open
Abstract
Diagnosis of infection-causing microorganisms with sensitive, rapid, selective and economical diagnostic tests is critical to start the right treatment. With these tests, the spread of infections can be prevented. In addition to that, the detection of antimicrobial resistance also makes a significant contribution to public health. In recent years, different types of diagnostic tests have been developed as alternatives to traditional diagnostic tests used in clinics. In particular, colorimetric tests, which minimize the need for an instrument, have advantages owing to their cost effectiveness, rapid response and naked-eye detection and practical use. In this review, we especially focused on pH indicators and nanomaterial-based colorimetric tests in detection of infection-causing microorganisms and antimicrobial resistance.
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Affiliation(s)
- Cagla Celik
- Pharmacy Services Program, Vocational School of Health Services, Hitit University, Corum 19000, Turkey
| | - Gamze Kalin
- Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Erciyes University, Kayseri 38039, Turkey
| | | | - Nilay Ildiz
- Medical Imaging Department, Vocational School of Health Services, Bandırma Onyedi Eylul University, Bandirma 10200, Turkey
| | - Ismail Ocsoy
- Department of Analytical Chemistry, Faculty of Pharmacy, Erciyes University, Kayseri 38039, Turkey
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15
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Zhou W, Wen H, Hao G, Zhang YS, Yang J, Gao L, Zhu G, Yang ZQ, Xu X. Surface engineering of magnetic peroxidase mimic using bacteriophage for high-sensitivity/specificity colorimetric determination of Staphylococcus aureus in food. Food Chem 2023; 426:136611. [PMID: 37356237 DOI: 10.1016/j.foodchem.2023.136611] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/28/2023] [Accepted: 06/10/2023] [Indexed: 06/27/2023]
Abstract
Herein, we proposed surface engineering of magnetic peroxidase mimic using bacteriophage by electrostatic interaction to prepare bacteriophage SapYZU15 modified Fe3O4 (SapYZU15@Fe3O4) for colorimetric determination of S. aureus in food. SapYZU15@Fe3O4 exhibits peroxidase-like activity, catalyzing 3,3',5,5'-tetramethylbenzidine (TMB) chromogenic reaction. After introducing S. aureus, peroxidase-like activity of SapYZU15@Fe3O4 was specifically inhibited, resulting in deceleration of TMB chromogenic reaction. This phenomenon benefits from the presence of unique tail protein gene in the bacteriophage SapYZU15 genome, leading to a specific biological interaction between S. aureus and SapYZU15. On basis of this principle, SapYZU15@Fe3O4 can be employed for colorimetric determination of S. aureus with a limiting detection (LOD), calculated as low as 1.2 × 102 CFU mL-1. With this proposed method, colorimetric detection of S. aureus in food was successfully achieved. This portends that surface engineering of nanozymes using bacteriophage has great potential in the field of colorimetric detection of pathogenic bacterium in food.
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Affiliation(s)
- Wenyuan Zhou
- School of Food Science and Engineering, Yangzhou University, Yangzhou 225127, Jiangsu, China; College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Hua Wen
- School of Food Science and Engineering, Yangzhou University, Yangzhou 225127, Jiangsu, China
| | - Guijie Hao
- Key Laboratory of Healthy Freshwater Aquaculture, Ministry of Agriculture and Rural Affairs, Key Laboratory of Fish Health and Nutrition of Zhejiang Province, Huzhou Key Laboratory of Aquatic Product Quality Improvement and Processing Technology, Zhejiang Institute of Freshwater Fisheries, Huzhou 313001, Zhejiang, China
| | - Yuan-Song Zhang
- School of Food Science and Engineering, Yangzhou University, Yangzhou 225127, Jiangsu, China
| | - Juanli Yang
- School of Food Science and Engineering, Yangzhou University, Yangzhou 225127, Jiangsu, China
| | - Lu Gao
- School of Food Science and Engineering, Yangzhou University, Yangzhou 225127, Jiangsu, China
| | - Guoqiang Zhu
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Zhen-Quan Yang
- School of Food Science and Engineering, Yangzhou University, Yangzhou 225127, Jiangsu, China.
| | - Xuechao Xu
- School of Food Science and Engineering, Yangzhou University, Yangzhou 225127, Jiangsu, China.
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16
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Keoingthong P, Xu Y, Li S, Xu J, Zhang L, Chen Z, Tan W. Highly Active CoRh Graphitic Nanozyme for Colorimetric Sensing in Real Samples. J Phys Chem B 2023. [PMID: 37290092 DOI: 10.1021/acs.jpcb.3c02069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Rh-based nanozymes show high catalytic efficiency, specific surface area, good stability, and unique physicochemical properties, while magnetic nanozymes facilitate the magnetic separation of detection samples under an external magnetic field for improved sensitivity. However, magnetic Rh nanozymes, especially those with excellent stability, have not been reported. Herein, we apply the chemical vapor deposition (CVD) method to prepare a CoRh graphitic nanozyme (termed as CoRh@G nanozyme), which structurally consists of CoRh nanoalloy encapsulated by a few layers of graphene for sensitive colorimetric sensing applications. The proposed CoRh@G nanozyme has superior peroxidase (POD)-like activity, and it shows higher affinity of the CoRh@G nanozyme than horseradish peroxidase (HRP) toward 3,3',5,5'-tetramethylbenzydine (TMB) oxidation. In addition, the CoRh@G nanozyme shows high durability and superior recyclability owing to its protective graphitic shell. The outstanding merits of the CoRh@G nanozyme allow its use for quantitative colorimetric detection of dopamine (DA) and ascorbic acid (AA), showing high sensitivity and good selectivity. Moreover, it shows satisfactory performance for AA detection in commercial beverages and energy drinks. The proposed CoRh@G nanozyme-based colorimetric sensing platform shows great promise in point-of-care (POC) visual monitoring.
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Affiliation(s)
- Phouphien Keoingthong
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan 410082, People's Republic of China
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People's Republic of China
| | - Yiting Xu
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan 410082, People's Republic of China
- Key Laboratory of Theoretical Organic Chemistry and Function Molecule, Ministry of Education, School of Chemistry and Chemical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, People's Republic of China
| | - Shengkai Li
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan 410082, People's Republic of China
| | - Jieqiong Xu
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan 410082, People's Republic of China
| | - Liang Zhang
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan 410082, People's Republic of China
| | - Zhuo Chen
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan 410082, People's Republic of China
| | - Weihong Tan
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan 410082, People's Republic of China
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People's Republic of China
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200127, People's Republic of China
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17
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Seymour E, Ekiz Kanik F, Diken Gür S, Bakhshpour-Yucel M, Araz A, Lortlar Ünlü N, Ünlü MS. Solid-Phase Optical Sensing Techniques for Sensitive Virus Detection. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23115018. [PMID: 37299745 DOI: 10.3390/s23115018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 06/12/2023]
Abstract
Viral infections can pose a major threat to public health by causing serious illness, leading to pandemics, and burdening healthcare systems. The global spread of such infections causes disruptions to every aspect of life including business, education, and social life. Fast and accurate diagnosis of viral infections has significant implications for saving lives, preventing the spread of the diseases, and minimizing social and economic damages. Polymerase chain reaction (PCR)-based techniques are commonly used to detect viruses in the clinic. However, PCR has several drawbacks, as highlighted during the recent COVID-19 pandemic, such as long processing times and the requirement for sophisticated laboratory instruments. Therefore, there is an urgent need for fast and accurate techniques for virus detection. For this purpose, a variety of biosensor systems are being developed to provide rapid, sensitive, and high-throughput viral diagnostic platforms, enabling quick diagnosis and efficient control of the virus's spread. Optical devices, in particular, are of great interest due to their advantages such as high sensitivity and direct readout. The current review discusses solid-phase optical sensing techniques for virus detection, including fluorescence-based sensors, surface plasmon resonance (SPR), surface-enhanced Raman scattering (SERS), optical resonators, and interferometry-based platforms. Then, we focus on an interferometric biosensor developed by our group, the single-particle interferometric reflectance imaging sensor (SP-IRIS), which has the capability to visualize single nanoparticles, to demonstrate its application for digital virus detection.
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Affiliation(s)
- Elif Seymour
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M4P 1R2, Canada
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Fulya Ekiz Kanik
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA
| | - Sinem Diken Gür
- Department of Biology, Hacettepe University, Ankara 06800, Türkiye
| | - Monireh Bakhshpour-Yucel
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA
- Department of Chemistry, Bursa Uludag University, Bursa 16059, Türkiye
| | - Ali Araz
- Department of Chemistry, Dokuz Eylül University, Izmir 35390, Türkiye
| | - Nese Lortlar Ünlü
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - M Selim Ünlü
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA
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18
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Karuppaiah G, Vashist A, Nair M, Veerapandian M, Manickam P. Emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of SARS-CoV-2. BIOSENSORS AND BIOELECTRONICS: X 2023; 13:100324. [PMID: 36844889 PMCID: PMC9941073 DOI: 10.1016/j.biosx.2023.100324] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 02/01/2023] [Accepted: 02/18/2023] [Indexed: 02/23/2023]
Abstract
COVID-19, a highly contagious viral infection caused by the occurrence of severe acute respiratory syndrome coronavirus (SARS-CoV-2), has turned out to be a viral pandemic then ravaged many countries worldwide. In the recent years, point-of-care (POC) biosensors combined with state-of-the-art bioreceptors, and transducing systems enabled the development of novel diagnostic tools for rapid and reliable detection of biomarkers associated with SARS-CoV-2. The present review thoroughly summarises and discusses various biosensing strategies developed for probing SARS-CoV-2 molecular architectures (viral genome, S Protein, M protein, E protein, N protein and non-structural proteins) and antibodies as a potential diagnostic tool for COVID-19. This review discusses the various structural components of SARS-CoV-2, their binding regions and the bioreceptors used for recognizing the structural components. The various types of clinical specimens investigated for rapid and POC detection of SARS-CoV-2 is also highlighted. The importance of nanotechnology and artificial intelligence (AI) approaches in improving the biosensor performance for real-time and reagent-free monitoring the biomarkers of SARS-CoV-2 is also summarized. This review also encompasses existing practical challenges and prospects for developing new POC biosensors for clinical monitoring of COVID-19.
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Affiliation(s)
- Gopi Karuppaiah
- Electrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute (CECRI), Karaikudi, 630 003, Tamil Nadu, India
| | - Arti Vashist
- Center for Personalized Nanomedicine, Institute of NeuroImmune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, USA
| | - Madhavan Nair
- Center for Personalized Nanomedicine, Institute of NeuroImmune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, USA
| | - Murugan Veerapandian
- Electrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute (CECRI), Karaikudi, 630 003, Tamil Nadu, India
- Academy of Scientific and Innovative Research, Ghaziabad, 201 002, Uttar Pradesh, India
| | - Pandiaraj Manickam
- Electrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute (CECRI), Karaikudi, 630 003, Tamil Nadu, India
- Academy of Scientific and Innovative Research, Ghaziabad, 201 002, Uttar Pradesh, India
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19
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Liu M, Zhang F, Dou S, Sun J, Vriesekoop F, Li F, Guo Y, Sun X. Label-free colorimetric apta-assay for detection of Escherichia coli based on gold nanoparticles with peroxidase-like amplification. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:1661-1667. [PMID: 36919659 DOI: 10.1039/d2ay01822e] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
In this work, aptamers against E. coli with better performance were obtained via cell systematic evolution of ligands by exponential enrichment (cell-SELEX) and dissociation constants (Kd) of aptamers were estimated to range from 133.87 to 199.44 nM. Furthermore, the selected aptamer was employed for label-free colorimetric detection of E. coli using gold nanoparticles (AuNPs) with peroxidase-like activity to catalyze the oxidation of tetramethylbenzidine (TMB) by hydrogen peroxide (H2O2) to produce color development. This colorimetric apta-assay started with an aptamer-bacteria binding step, and the concentration of residual aptamers after binding depended on the amount of target bacteria. Then, the amount of separated residual aptamers determined the degree of cetyltrimethylammonium bromide (CTAB)-inhibited catalytic activity of AuNPs, which resulted in a color change from dark blue to light blue. Owing to the excellent peroxidase activity of AuNPs, they could emit strong visible color intensity in less than 1 minute to improve visual detection sensitivity. Under optimized conditions, the sensitivity of detection was 5 × 103 CFU mL-1 visually and 75 CFU mL-1 using the UV-vis spectrum with a linear range from 5 × 102 to 1 × 106 CFU mL-1. And it had shown a good recovery rate in real samples of water, juice and milk compared with classical counting methods.
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Affiliation(s)
- Mengyue Liu
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Fengjuan Zhang
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Shouyi Dou
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Jiashuai Sun
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Frank Vriesekoop
- Department of Food, Land and Agribusiness Management, Harper Adams University, Newport, UK
| | - Falan Li
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Yemin Guo
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Xia Sun
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China.
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
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20
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Bis(2,4,6-trichlorophenyl)oxalate-based chemically initiated electron exchange chromogenic reaction system for colorimetric detection of fentanyl and norfentanyl. Microchem J 2023. [DOI: 10.1016/j.microc.2023.108480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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21
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Shu R, Liang Y, Liu S, Dou L, Bu T, Wang S, Lan X, Zhang D, Sun J, Zhu M, Wang J. "From food waste to food supervision"-Cuttlefish Ink Natural Nanoparticles-Driven Dual-mode Lateral Flow Immunoassay for Advancing Point-of-Care Tests. Biosens Bioelectron 2023; 219:114807. [PMID: 36327557 DOI: 10.1016/j.bios.2022.114807] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 10/10/2022] [Indexed: 11/19/2022]
Abstract
Apart from the obvious benefit of "trash-to-treasure", the acquisition of natural nanomaterials from cheap and renewable waste has been intensively researched because of various bioactivities and physical-chemical features. Herein, for the first time, we employed natural cuttlefish ink nanoparticles (CINPs) as a multifunctional label and designed colorimetric-photothermal dual-mode lateral flow immunoassays (CINPs-mediated CPLFIA) for sensitive detection of clenbuterol (CL). The accessibility and renewability of CINPs overcome barriers that artificial nanomaterials face, such as complex manufacturing and relatively high costs. Additionally, inspired by the mussel adhesion, the bio-affinity of CINPs, such as antibody coupling and preservation, was investigated and showed to be considerably superior to Au NPs, leading to significantly increased immunosensor sensitivity. Meanwhile, CINPs exhibit excellent photothermal conversion efficiency for dual-signal production, avoiding the effect of environmental elements (particularly light) for colorimetric mode. Besides, the biosensor was integrated with a smartphone and a thermal imager for portable sensing. After optimization, the detection limit of CINPs-mediated CPLFIA was 0.179 ng mL-1 (colorimetric mode) and 0.076 ng mL-1 (photothermal mode), which were significantly lower than traditional gold nanoparticles-based LFIA (0.786 ng mL-1). This research attempted to explain the rise in sensitivity. From food waste to food supervision, this research explores the hidden value of natural resources.
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Affiliation(s)
- Rui Shu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yanmin Liang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Sijie Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Leina Dou
- College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, And Beijing Laboratory for Food Quality and Safety, Beijing, 100193, China
| | - Tong Bu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Shaochi Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Xi Lan
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jing Sun
- Qinghai Provincial Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Qinghai, 810008, China
| | - Mingqiang Zhu
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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22
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Ultrasensitive detection of pathogenic bacteria by primer exchange reaction coupled with PGM. Microchem J 2023. [DOI: 10.1016/j.microc.2023.108401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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23
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Liu J, Xie G, Lv S, Xiong Q, Xu H. Recent applications of rolling circle amplification in biosensors and DNA nanotechnology. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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24
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Yang J, Wang X, Sun Y, Chen B, Hu F, Guo C, Yang T. Recent Advances in Colorimetric Sensors Based on Gold Nanoparticles for Pathogen Detection. BIOSENSORS 2022; 13:bios13010029. [PMID: 36671864 PMCID: PMC9856207 DOI: 10.3390/bios13010029] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/09/2022] [Accepted: 12/23/2022] [Indexed: 05/28/2023]
Abstract
Infectious pathogens cause severe threats to public health due to their frightening infectivity and lethal capacity. Rapid and accurate detection of pathogens is of great significance for preventing their infection. Gold nanoparticles have drawn considerable attention in colorimetric biosensing during the past decades due to their unique physicochemical properties. Colorimetric diagnosis platforms based on functionalized AuNPs are emerging as a promising pathogen-analysis technique with the merits of high sensitivity, low-cost, and easy operation. This review summarizes the recent development in this field. We first introduce the significance of detecting pathogens and the characteristics of gold nanoparticles. Four types of colorimetric strategies, including the application of indirect target-mediated aggregation, chromogenic substrate-mediated catalytic activity, point-of-care testing (POCT) devices, and machine learning-assisted colorimetric sensor arrays, are systematically introduced. In particular, three biomolecule-functionalized AuNP-based colorimetric sensors are described in detail. Finally, we conclude by presenting our subjective views on the present challenges and some appropriate suggestions for future research directions of colorimetric sensors.
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Affiliation(s)
- Jianyu Yang
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Xin Wang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Yuyang Sun
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Bo Chen
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Fangxin Hu
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Chunxian Guo
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Ting Yang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
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25
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Liu M, Geng L, Zhang F, Dou S, Li F, Liu Z, Guo Y, Sun X. Isolation of Bacteria Aptamers with Non-SELEX for the Development of a Highly Sensitive Colorimetric Assay Based on Dual Signal Amplification. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:15990-15998. [PMID: 36508287 DOI: 10.1021/acs.jafc.2c06167] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
In this work, an aptamer against Escherichia coli is isolated via non-SELEX, which executes efficient selection by employing repetitive cycles of centrifugation-based partitioning, and the binding site of the aptamer on E. coli cell surfaces is inferred to be a membrane protein. Moreover, truncated sequence 2-17-2 with a higher affinity (Kd = 101.76 nM) is employed for highly sensitive colorimetric detection of bacteria based on the dual signal amplification strategy. When targets exist, the release of DNA 1 from the polymer activates a hybridization chain reaction (HCR) between DNA 1 and DNA 2, thereby inducing the aggregation of probe 1. Subsequently, DNA 3 dissociated from probe 1 as a linker DNA further assembles probe 2/3. In this system, two types of DNA@gold nanoparticles (AuNPs) coexist and successively aggregate AuNPs based on divergent triggering mechanisms. Under optimal conditions, the dual signal amplification strategy presents excellent sensitivity (10 CFU mL-1) and specificity, as well as the realization of real sample analysis.
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Affiliation(s)
- Mengyue Liu
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Lingjun Geng
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Fengjuan Zhang
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Shouyi Dou
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Falan Li
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Zhanli Liu
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Yemin Guo
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
| | - Xia Sun
- College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
- Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo 255049, Shandong, China
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26
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Development of smart cotton fabrics immobilized with anthocyanin and potassium alum for colorimetric detection of bacteria. INORG CHEM COMMUN 2022. [DOI: 10.1016/j.inoche.2022.110023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Yang B, Chen F, Wang Y, Deng T, Feng X, Li J. Colorimetric nano-beacon and magnetic separation-based rapid and visual assay for gram-negative bacteria. Anal Biochem 2022; 655:114824. [PMID: 35944695 DOI: 10.1016/j.ab.2022.114824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/06/2022] [Accepted: 07/16/2022] [Indexed: 12/29/2022]
Abstract
Food-borne diseases caused by pathogenic bacteria are one of the serious factors affecting human health. However, the most commonly used detection methods for pathogenic bacteria not only require expensive instruments, but also take a long time due to the complicated and cumbersome detection process. Therefore, the development of a fast, simple, and low-cost detection method for pathogenic bacteria is crucial for food safety and human health. In this work, based on the high binding ability of antimicrobial peptide (AMP) and polymyxin B (PMB) to bacteria, combined with magnetic separation technology, a new enzyme-free colorimetric strategy was constructed to achieve visual detection of Gram-negative bacteria in complex samples. The sensor system was divided into the following two parts: a colorimetric signal amplification nanoprobe, which was modified with AMP to enable effective binding of the colorimetric probe to the surface of bacteria, and a PMB-modified magnetic nanobead (MNB), which was used as the capture and enrichment unit of Gram-negative bacteria, as a result of which PMB could effectively distinguish Gram-negative bacteria from Gram-positive bacteria. Under optimized conditions, the detection limit of the method for Gram-negative bacteria (e.g. E. coli (G-)) was as low as 10 CFU/mL, and it was successfully applied to complex real samples. In addition, the developed colorimetric sensor offered advantages, such as fast response, less time consumption, high sensitivity, and low cost. It can be expected to become a new diagnostic tool for on-site detection of pathogenic bacteria in remote areas.
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Affiliation(s)
- Beibei Yang
- State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China
| | - Fei Chen
- State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China
| | - Yi Wang
- State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China
| | - Ting Deng
- Institute of Applied Chemistry, School of Science, Central South University of Forestry and Technology, Changsha, 410004, PR China
| | - Xinxin Feng
- State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.
| | - Jishan Li
- State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.
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Xu M, Li Y, Lin C, Peng Y, Zhao S, Yang X, Yang Y. Recent Advances of Representative Optical Biosensors for Rapid and Sensitive Diagnostics of SARS-CoV-2. BIOSENSORS 2022; 12:bios12100862. [PMID: 36291001 PMCID: PMC9599922 DOI: 10.3390/bios12100862] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/01/2022] [Accepted: 10/01/2022] [Indexed: 05/04/2023]
Abstract
The outbreak of Corona Virus Disease 2019 (COVID-19) has again emphasized the significance of developing rapid and highly sensitive testing tools for quickly identifying infected patients. Although the current reverse transcription polymerase chain reaction (RT-PCR) diagnostic techniques can satisfy the required sensitivity and specificity, the inherent disadvantages with time-consuming, sophisticated equipment and professional operators limit its application scopes. Compared with traditional detection techniques, optical biosensors based on nanomaterials/nanostructures have received much interest in the detection of SARS-CoV-2 due to the high sensitivity, high accuracy, and fast response. In this review, the research progress on optical biosensors in SARS-CoV-2 diagnosis, including fluorescence biosensors, colorimetric biosensors, Surface Enhancement Raman Scattering (SERS) biosensors, and Surface Plasmon Resonance (SPR) biosensors, was comprehensively summarized. Further, promising strategies to improve optical biosensors are also explained. Optical biosensors can not only realize the rapid detection of SARS-CoV-2 but also be applied to judge the infectiousness of the virus and guide the choice of SARS-CoV-2 vaccines, showing enormous potential to become point-of-care detection tools for the timely control of the pandemic.
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Affiliation(s)
- Meimei Xu
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanyan Li
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chenglong Lin
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yusi Peng
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Zhao
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiao Yang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yong Yang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence:
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29
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Lu L, Hu X, Zeng R, Lin Q, Huang X, Li M, Tang D. Dual-mode colorimetric-photothermal sensing platform of acetylcholinesterase activity based on the peroxidase-like activity of Fe-N-C nanozyme. Anal Chim Acta 2022; 1229:340383. [PMID: 36156227 DOI: 10.1016/j.aca.2022.340383] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 09/08/2022] [Indexed: 11/01/2022]
Abstract
Sensors based on colorimetry, fluorescence, and electrochemistry have been widely employed to detect acetylcholinesterase and its inhibitors, however, there are only a minority of strategies for AChE detection based on photothermal method. This work reports a versatile dual-mode colorimetric and photothermal biosensing platform for acetylcholinesterase (AChE) detection and its inhibitor (paraoxon-ethyl, a model of AChE inhibitors) monitor based on Fe-N-C/H2O2/3,3',5,5'-tetramethylbenzidine (TMB) system. The Fe-N-C with abundant active Fe-Nx sites shows outstanding peroxidase-mimicking activity and can be used to promote the generation of •OH by H2O2 to oxidize TMB. However, the introduction of mercapto molecules tending to coordinate with metal atoms result in the block of action site in Fe-N-C, thereby decrease its peroxidase-mimetic activity. The designed biosensor principle is based on the block of active sites of Fe-N-C by thiocholine (TCh, one kind of mercapto molecules) that can be produced by acetylthiocholine (ATCh) in the presence of AChE. Under optimum conditions, the limit of detection (LOD) for AChE activity is 1.9 mU mL-1 (colorimetric) and 2.2 mU mL-1 (photothermal), while for paraoxon-ethyl is 0.012 μg mL-1 (colorimetric) and 0.013 μg mL-1 (photothermal), respectively. The assay we proposed not only can be designed to monitor AChE detection and its inhibitors, but also can be easily extended for the detection of other biomolecules relate to the generation or consumption of H2O2.
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Affiliation(s)
- Liling Lu
- Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, People's Republic of China
| | - Xuehan Hu
- Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, People's Republic of China
| | - Ruijin Zeng
- Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, People's Republic of China
| | - Qianyun Lin
- Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, People's Republic of China
| | - Xue Huang
- Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, People's Republic of China
| | - Meijin Li
- Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, People's Republic of China.
| | - Dianping Tang
- Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, People's Republic of China.
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30
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Colorimetric Detection of the SARS-CoV-2 Virus (COVID-19) in Artificial Saliva Using Polydiacetylene Paper Strips. BIOSENSORS 2022; 12:bios12100804. [PMID: 36290942 PMCID: PMC9599072 DOI: 10.3390/bios12100804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/22/2022] [Accepted: 09/27/2022] [Indexed: 11/25/2022]
Abstract
The spread and resurgence of the SARS-CoV-2 virus (COVID-19 disease) threatens human health and social relations. Prevention of COVID-19 disease partly relies on fabricating low-cost, point-of-care (POC) sensing technology that can rapidly and selectively detect the SARS-CoV-2 virus. We report a colorimetric, paper-based polydiacetylene (PDA) biosensor, designed to detect SARS-CoV-2 spike protein in artificial saliva. Analytical characterizations of the PDA sensor using NMR and FT-IR spectroscopy showed the correct structural elucidation of PCDA-NHS conjugation. The PDA sensor platform containing the N-Hydroxysuccinimide ester of 10, 12-pentacosadiynoic acid (PCDA-NHS) was divided into three experimental PCDA-NHS concentration groups of 10%, 20%, and 30% to optimize the performance of the sensor. The optimal PCDA-NHS molar concentration was determined to be 10%. The PDA sensor works by a color change from blue to red as its colorimetric output when the immobilized antibody binds to the SARS-CoV-2 spike protein in saliva samples. Our results showed that the PDA sensing platform was able to rapidly and qualitatively detect the SARS-CoV-2 spike protein within the concentration range of 1 to 100 ng/mL after four hours of incubation. Further investigation of pH and temperature showed minimal influence on the PDA sensor for the detection of COVID-19 disease. After exposure to the SARS-CoV-2 spike protein, smartphone images of the PDA sensor were used to assess the sensor output by using the red chromatic shift (RCS) of the signal response. These results indicate the potential and practical use of this PDA sensor design for the rapid, colorimetric detection of COVID-19 disease in developing countries with limited access to medical testing.
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Tessaro L, Aquino A, Panzenhagen P, Joshi N, Conte-Junior CA. A systematic review of the advancement on colorimetric nanobiosensors for SARS-CoV-2 detection. J Pharm Biomed Anal 2022; 222:115087. [PMID: 36206693 PMCID: PMC9523903 DOI: 10.1016/j.jpba.2022.115087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/17/2022] [Accepted: 09/28/2022] [Indexed: 11/15/2022]
Abstract
The current pandemic of the acute severe respiratory syndrome coronavirus 2 (SARS-CoV-2) killed about 6.4 million and infected more than 600 million individuals by august of 2022, and researchers worldwide are searching for fast and selective approaches for this virus detection. Colorimetric biosensors are an excellent alternative because they are sensitive, simple, fast, and low-cost for rapid detection of SARS-CoV-2 compared to standard Enzyme-linked immunosorbent assay (ELISA) and Polymerase Chain Reaction (PCR) techniques. This study systematically searched and reviewed literature data related to colorimetric biosensors in detecting SARS-CoV-2 viruses, recovered from the Scopus (n = 16), Web of Science (n = 19), PubMed (n = 19), and Science Direct (n = 17) databases totalizing n = 71 articles. Data were analyzed for the type of nanomaterial, biorecognition material at the detection limit (LOD), and devices designed for diagnostics. The most applied nanomaterial were gold nanoparticles, in their original form and hybrid in quantum dots and core-shell. In addition, we show high specificity in point-of-care (POC) diagnostic devices as a faster and cheaper alternative for clinical diagnosis. Finally, the highlights of the colorimetric biosensor developed for diagnostic devices applied in swabs, surgical masks, and lateral flow immunoassays were presented.
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Affiliation(s)
- Leticia Tessaro
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil.
| | - Adriano Aquino
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil
| | - Pedro Panzenhagen
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil
| | - Nirav Joshi
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil
| | - Carlos Adam Conte-Junior
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil.
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32
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A smart tablet-phone-based system using dynamic light modulation for highly sensitive colorimetric biosensing. Talanta 2022; 252:123862. [DOI: 10.1016/j.talanta.2022.123862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/09/2022] [Accepted: 08/18/2022] [Indexed: 11/20/2022]
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33
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Sivakumar R, Lee NY. Recent advances in airborne pathogen detection using optical and electrochemical biosensors. Anal Chim Acta 2022; 1234:340297. [PMID: 36328717 PMCID: PMC9395976 DOI: 10.1016/j.aca.2022.340297] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/27/2022] [Accepted: 08/18/2022] [Indexed: 11/30/2022]
Abstract
The world is currently facing an adverse condition due to the pandemic of airborne pathogen SARS-CoV-2. Prevention is better than cure; thus, the rapid detection of airborne pathogens is necessary because it can reduce outbreaks and save many lives. Considering the immense role of diverse detection techniques for airborne pathogens, proper summarization of these techniques would be beneficial for humans. Hence, this review explores and summarizes emerging techniques, such as optical and electrochemical biosensors used for detecting airborne bacteria (Bacillus anthracis, Mycobacterium tuberculosis, Staphylococcus aureus, and Streptococcus pneumoniae) and viruses (Influenza A, Avian influenza, Norovirus, and SARS-CoV-2). Significantly, the first section briefly focuses on various diagnostic modalities applied toward airborne pathogen detection. Next, the fabricated optical biosensors using various transducer materials involved in colorimetric and fluorescence strategies for infectious pathogen detection are extensively discussed. The third section is well documented based on electrochemical biosensors for airborne pathogen detection by differential pulse voltammetry, cyclic voltammetry, square-wave voltammetry, amperometry, and impedance spectroscopy. The unique pros and cons of these modalities and their future perspectives are addressed in the fourth and fifth sections. Overall, this review inspected 171 research articles published in the last decade and persuaded the importance of optical and electrochemical biosensors for airborne pathogen detection.
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Affiliation(s)
- Rajamanickam Sivakumar
- Department of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, 13120, South Korea
| | - Nae Yoon Lee
- Department of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, 13120, South Korea.
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Kim DM, Yoo SM. Colorimetric Systems for the Detection of Bacterial Contamination: Strategy and Applications. BIOSENSORS 2022; 12:bios12070532. [PMID: 35884335 PMCID: PMC9313054 DOI: 10.3390/bios12070532] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/10/2022] [Accepted: 07/13/2022] [Indexed: 12/19/2022]
Abstract
Bacterial contamination is a public health concern worldwide causing enormous social and economic losses. For early diagnosis and adequate management to prevent or treat pathogen-related illnesses, extensive effort has been put into the development of pathogenic bacterial detection systems. Colorimetric sensing systems have attracted increasing attention due to their simple and single-site operation, rapid signal readout with the naked eye, ability to operate without external instruments, portability, compact design, and low cost. In this article, recent trends and advances in colorimetric systems for the detection and monitoring of bacterial contamination are reviewed. This article focuses on pathogen detection strategies and technologies based on reaction factors that affect the color change for visual readout. Reactions used in each strategy are introduced by dividing them into the following five categories: external pH change-induced pH indicator reactions, intracellular enzyme-catalyzed chromogenic reactions, enzyme-like nanoparticle (NP)-catalyzed substrate reactions, NP aggregation-based reactions, and NP accumulation-based reactions. Some recently developed colorimetric systems are introduced, and their challenges and strategies to improve the sensing performance are discussed.
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Affiliation(s)
- Dong-Min Kim
- Center for Applied Life Science, Hanbat National University, Daejeon 34158, Korea;
| | - Seung-Min Yoo
- School of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea
- Correspondence:
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Wu T, Wang C, Wu M, Wang P, Feng Q. Novel integrating polymethylene blue nanoparticles with dumbbell hybridization chain reaction for electrochemical detection of pathogenic bacteria. Food Chem 2022; 382:132501. [PMID: 35245759 DOI: 10.1016/j.foodchem.2022.132501] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/19/2022] [Accepted: 02/16/2022] [Indexed: 11/24/2022]
Abstract
Pathogenic bacteria infections pose a major threat to human health which can be found in contaminated food and infected humans. Herein, an electrochemical sensor was developed for pathogenic bacteria assay using a dual amplification strategy of polymethylene blue nanoparticles (pMB NPs) and dumbbell hybridization chain reaction (DHCR). The strong binding ability of aptamer to targets endowed outstanding performance in identifying Staphylococcus aureus (S. aureus) among other typical bacteria. The released T strands were hybridized with capture DNA on electrode surface which triggered DHCR in the presence of two dumbbell-shaped helper DNA, leading to the formation of extended and tight dsDNA polymers. In combination with pMB NPs (redox indicators), S. aureus was quantitatively detected in a range of 10-108 CFU/mL and the detection limit reached 1 CFU/mL. Moreover, this sensor was successfully applied for S. aureus detection in human serum and foods, demonstrating the reliability in practical applications.
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Affiliation(s)
- Tao Wu
- School of Chemistry and Materials Science, Jiangsu Normal University, Xuzhou 221116, PR China
| | - Chengcheng Wang
- School of Chemistry and Materials Science, Jiangsu Normal University, Xuzhou 221116, PR China
| | - Meisheng Wu
- Department of Chemistry, College of Science, Nanjing Agricultural University, 1 Weigang, Nanjing 210095, PR China.
| | - Po Wang
- School of Chemistry and Materials Science, Jiangsu Normal University, Xuzhou 221116, PR China
| | - Qiumei Feng
- School of Chemistry and Materials Science, Jiangsu Normal University, Xuzhou 221116, PR China.
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Ngashangva L, Hemdan BA, El-Liethy MA, Bachu V, Minteer SD, Goswami P. Emerging Bioanalytical Devices and Platforms for Rapid Detection of Pathogens in Environmental Samples. MICROMACHINES 2022; 13:mi13071083. [PMID: 35888900 PMCID: PMC9321031 DOI: 10.3390/mi13071083] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 02/05/2023]
Abstract
The development of robust bioanalytical devices and biosensors for infectious pathogens is progressing well with the advent of new materials, concepts, and technology. The progress is also stepping towards developing high throughput screening technologies that can quickly identify, differentiate, and determine the concentration of harmful pathogens, facilitating the decision-making process for their elimination and therapeutic interventions in large-scale operations. Recently, much effort has been focused on upgrading these analytical devices to an intelligent technological platform by integrating them with modern communication systems, such as the internet of things (IoT) and machine learning (ML), to expand their application horizon. This review outlines the recent development and applications of bioanalytical devices and biosensors to detect pathogenic microbes in environmental samples. First, the nature of the recent outbreaks of pathogenic microbes such as foodborne, waterborne, and airborne pathogens and microbial toxins are discussed to understand the severity of the problems. Next, the discussion focuses on the detection systems chronologically, starting with the conventional methods, advanced techniques, and emerging technologies, such as biosensors and other portable devices and detection platforms for pathogens. Finally, the progress on multiplex assays, wearable devices, and integration of smartphone technologies to facilitate pathogen detection systems for wider applications are highlighted.
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Affiliation(s)
- Lightson Ngashangva
- Transdisciplinary Biology, Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvanthapuram, Kerala 695014, India;
| | - Bahaa A. Hemdan
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India; (B.A.H.); (V.B.)
- Water Pollution Research Department, Environmental and Climate Change Research Institute, National Research Centre, 33 El Buhouth Street, Cairo P.O. Box 12622, Egypt;
| | - Mohamed Azab El-Liethy
- Water Pollution Research Department, Environmental and Climate Change Research Institute, National Research Centre, 33 El Buhouth Street, Cairo P.O. Box 12622, Egypt;
| | - Vinay Bachu
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India; (B.A.H.); (V.B.)
| | - Shelley D. Minteer
- Department of Chemistry, University of Utah, 315 South 1400 East, RM 2020, Salt Lake City, UT 84112, USA
- Correspondence: (S.D.M.); (P.G.)
| | - Pranab Goswami
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India; (B.A.H.); (V.B.)
- Correspondence: (S.D.M.); (P.G.)
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Zhao T, Yan W, Dong F, Hu X, Xu Y, Wang Z, Shen Y, Wang W, Zhao Y, Wei W. A smartphone-based platform for ratiometric visualization of SARS-CoV-2 via an oligonucleotide probe. Mikrochim Acta 2022; 189:268. [PMID: 35781842 DOI: 10.1007/s00604-022-05364-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/31/2022] [Indexed: 10/17/2022]
Abstract
COVID-19 necessitates the development of reliable and convenient diagnostic tools. In this work, a facile 3D-printed smartphone platform was constructed that achieved reliable visual detection of SARS-CoV-2 by eliminating the effect of ambient light and fixing the camera position relative to the sample. The oligonucleotide probe is modified with orange-red-emitting TAMRA working as an internal standard and green-emitting FAM serving as a sensitive sensing agent. Under 365-nm UV excitation, the emission wavelengths of TAMRA and FAM are 580 nm and 518 nm, respectively. When the probes interact with the targets, the green fluorescence gradually restores while the orange-red fluorescence remains stable. Thus, a striking color transition from orange-red to green could be observed by the naked eye. The detection limit of SARS-CoV-2 nucleic acid is 0.23 nM, and the entire process of color change could be completed in 25 min. Furthermore, the RGB value analysis of the sample solution was conducted using a smartphone for reliable and reproducible discrimination of SARS-CoV-2. The proposed smartphone platform might establish a general method for visual detection of SARS-CoV-2 nucleic acid as well as other virus-related diseases.
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Affiliation(s)
- Tingting Zhao
- School of Basic Medical Sciences, Biopharmaceutical Research Institute, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei, 230032, Anhui, China.
| | - Weizhen Yan
- The First School of Clinical Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Fengqi Dong
- School of Basic Medical Sciences, Biopharmaceutical Research Institute, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xinlong Hu
- School of Basic Medical Sciences, Biopharmaceutical Research Institute, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yanli Xu
- School of Basic Medical Sciences, Biopharmaceutical Research Institute, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Zhenyu Wang
- The First School of Clinical Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yating Shen
- The First School of Clinical Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Wanrong Wang
- The First School of Clinical Medicine, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Ye Zhao
- School of Basic Medical Sciences, Biopharmaceutical Research Institute, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei, 230032, Anhui, China.
| | - Wenmei Wei
- School of Basic Medical Sciences, Biopharmaceutical Research Institute, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei, 230032, Anhui, China.
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Zor E, Mollarasouli F, Karadurmus L, Ozcelikay G, Ozkan SA. Carbon Dots in the Detection of Pathogenic Bacteria and Viruses. Crit Rev Anal Chem 2022; 54:219-246. [PMID: 35533107 DOI: 10.1080/10408347.2022.2072168] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Bacterial and viruses pathogens are a significant hazard to human safety and health. In the imaging and detection of pathogenic microorganisms, the application of fluorescent nanoparticles is very useful. Carbon dots and quantum dots are preferred in this regard as labels, amplifiers, and/or electrode modifiers because of their outstanding features. However, precise diagnostics to identify numerous harmful bacteria simultaneously still face considerable hurdles, yet it is an inevitable issue. With the growing development of biosensors, nanoproduct-based bio-sensing has recently become one of the most promising methods for accurately identifying and quantifying various pathogens at low cost, high sensitivity, and selectivity, with time savings. The most recent applications of carbon dots in optical and electrochemical-based sensors are discussed in this review, along with some examples of pathogen sensors.HighlightsSimultaneous and early detection of pathogens is a critical issue in the management of readily spread to prevent epidemics.Carbon dots-based biosensors are more preferred in detection of pathogens due to high selectivity and sensitivity, as well as quick and cheap point-of-care platform.Summary of recent advances in the design of optical and electrochemical biosensors for the detection of pathogens.
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Affiliation(s)
- Erhan Zor
- Department of Science Education, A. K. Education Faculty, Necmettin Erbakan University, Konya, Turkey
- Biomaterials and Biotechnology Laboratory, Science and Technology Research and Application Center (BITAM), Necmettin Erbakan University, Konya, Turkey
| | | | - Leyla Karadurmus
- Faculty of Pharmacy, Department of Analytical Chemistry, Ankara University, Ankara, Turkey
- Faculty of Pharmacy, Department of Analytical Chemistry, Adıyaman University, Adıyaman, Turkey
| | - Goksu Ozcelikay
- Faculty of Pharmacy, Department of Analytical Chemistry, Ankara University, Ankara, Turkey
| | - Sibel A Ozkan
- Faculty of Pharmacy, Department of Analytical Chemistry, Ankara University, Ankara, Turkey
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Abstract
In the last few decades, plasmonic colorimetric biosensors raised increasing interest in bioanalytics thanks to their cost-effectiveness, responsiveness, and simplicity as compared to conventional laboratory techniques. Potential high-throughput screening and easy-to-use assay procedures make them also suitable for realizing point of care devices. Nevertheless, several challenges such as fabrication complexity, laborious biofunctionalization, and poor sensitivity compromise their technological transfer from research laboratories to industry and, hence, still hamper their adoption on large-scale. However, newly-developing plasmonic colorimetric biosensors boast impressive sensing performance in terms of sensitivity, dynamic range, limit of detection, reliability, and specificity thereby continuously encouraging further researches. In this review, recently reported plasmonic colorimetric biosensors are discussed with a focus on the following categories: (i) on-platform-based (localized surface plasmon resonance, coupled plasmon resonance and surface lattice resonance); (ii) colloid aggregation-based (label-based and label free); (iii) colloid non-aggregation-based (nanozyme, etching-based and growth-based).
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Wang X, Hong XZ, Li YW, Li Y, Wang J, Chen P, Liu BF. Microfluidics-based strategies for molecular diagnostics of infectious diseases. Mil Med Res 2022; 9:11. [PMID: 35300739 PMCID: PMC8930194 DOI: 10.1186/s40779-022-00374-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 03/10/2022] [Indexed: 02/08/2023] Open
Abstract
Traditional diagnostic strategies for infectious disease detection require benchtop instruments that are inappropriate for point-of-care testing (POCT). Emerging microfluidics, a highly miniaturized, automatic, and integrated technology, are a potential substitute for traditional methods in performing rapid, low-cost, accurate, and on-site diagnoses. Molecular diagnostics are widely used in microfluidic devices as the most effective approaches for pathogen detection. This review summarizes the latest advances in microfluidics-based molecular diagnostics for infectious diseases from academic perspectives and industrial outlooks. First, we introduce the typical on-chip nucleic acid processes, including sample preprocessing, amplification, and signal read-out. Then, four categories of microfluidic platforms are compared with respect to features, merits, and demerits. We further discuss application of the digital assay in absolute nucleic acid quantification. Both the classic and recent microfluidics-based commercial molecular diagnostic devices are summarized as proof of the current market status. Finally, we propose future directions for microfluidics-based infectious disease diagnosis.
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Affiliation(s)
- Xin Wang
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Xian-Zhe Hong
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Yi-Wei Li
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Ying Li
- State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan National Laboratory for Optoelectronics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430071 China
| | - Jie Wang
- Department of Radiology, Canary Center at Stanford for Cancer Early Detection, School of Medicine, Stanford University, Palo Alto, CA 94304 USA
| | - Peng Chen
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074 China
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074 China
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Highly sensitive multiplex detection of foodborne pathogens using a SERS immunosensor combined with novel covalent organic frameworks based biologic interference-free Raman tags. Talanta 2022; 243:123369. [PMID: 35278771 DOI: 10.1016/j.talanta.2022.123369] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 12/21/2021] [Accepted: 03/03/2022] [Indexed: 02/08/2023]
Abstract
Rapid and reliable multiplex detection of foodborne pathogens is in great demand for ensuring food safety and preventing foodborne diseases. In this study, we developed a highly sensitive SERS immunosensor for the simultaneous detection of multiple foodborne pathogens. Novel biologic interference-free Raman tags synthesized by using the covalent organic frameworks (COF) TBDP as nanocontainer to load biologic interference-free Raman reporters and specific antibodies for interested targets were used to convert and amplify signals of foodborne pathogens. In addition, lectin functionalized magnetic nanoparticles (MNPs@Con A) which could efficiently bind to the carbohydrate constituents on the surface of pathogens were prepared to capture and isolate multiple pathogens simultaneously. The recognition of the target foodborne pathogen impels the generation of sandwich-like composites of MNPs@Con A/pathogen/TBDP@Raman tags, and these composites could be quickly separated from the sample matrix with the assistance of an external magnet. Besides, a mass of Raman reporters was released by eluting the collected MNPs@Con A/pathogen/TBDP@Raman tags composites. Combined with a portable Raman system, characteristic Raman signals (2271 and 2113 cm-1) of the occupied reporters located at the biologic interference-free region were observed and used for the simultaneous detection of two different foodborne pathogenic strains. And an equal limit of detection of 101 CFU/mL was achieved for each strain. This strategy provides new insight into the application of SERS in the detection of pathogenic bacteria.
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Dual-labeling ratiometric electrochemical strategy initiated with ISDPR for accurate screening MecA gene. Biosens Bioelectron 2022; 197:113772. [PMID: 34768067 DOI: 10.1016/j.bios.2021.113772] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 11/01/2021] [Accepted: 11/03/2021] [Indexed: 12/30/2022]
Abstract
An outstanding dual-labeling ratiometric electrochemical biosensor based on isothermal strand displacement polymerization reaction (ISDPR) for highly sensitive and selective detection of mecA gene has been proposed. Concretely, in the presence of mecA gene, the addition of methylene blue (MB)-labeled primer and polymerase induced recycling amplification to change the structure of the ferrocene (Fc)-labeled hairpin probe, thereby releasing abundant target gene to realize the signal amplification and dual-signal output. Through this process, the electrochemical responses of Fc (IFc) and MB (IMB) were both substantially reduced and increased proportionally, ensuring that the value of IMB/IFc can accurately reflect the true detection level of mecA gene. Benefiting from the "signal-on/off" strategy, the fabricated biosensor exhibited outstanding sequence specificity to discriminate mismatched mecA gene, which verified to be 2.72 times that of single-label detection for perfect match/single base mismatch (PM/MM) discrimination ratio. This strategy effectively integrated the advantages of signal amplification and ratiometric modes, making the biosensor exhibit a broad working range with 10 fM - 3000 pM and a limit of detection (LOD) with 3.33 fM (S/N = 3). Moreover, the proposed biosensor has good feasibility for mecA gene determination in water samples due to acceptable recoveries (95-115%) and repeatability relative standard deviations (RSD) value of 4%. This will provide a powerful sensing platform for improving accuracy and decreasing background signal of sensor for ARGs screening in environmental monitoring.
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Albaz AA, Rafeeq MM, Sain ZM, Almutairi WA, Alamri AS, Aloufi AH, Almalki WH, Tarique M. Nanotechnology-based approaches in the fight against SARS-CoV-2. AIMS Microbiol 2022; 7:368-398. [PMID: 35071938 PMCID: PMC8712532 DOI: 10.3934/microbiol.2021023] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/07/2021] [Indexed: 12/14/2022] Open
Abstract
The COVID-19 pandemic caused by highly-infectious virus namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in infection of millions of individuals and deaths across the world. The need of an hour is to find the innovative solution for diagnosis, prevention, and cure of the COVID-19 disease. Nanotechnology is emerging as one of the important tool for the same. In the present review we discuss the applications of nanotechnology-based approaches that are being implemented to speed up the development of diagnostic kits for SARS-CoV-2, development of personal protective equipments, and development of therapeutics of COVID-19 especially the vaccine development.
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Affiliation(s)
- Alrayan Abass Albaz
- Molecular Medicine Genetics, Department of Oncology and Human Metabolism, the Medical School, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, United Kingdom
| | - Misbahuddin M Rafeeq
- Department of Pharmacology, Faculty of Medicine, Rabigh. King Abdulaziz University. Jeddah, 21589, KSA
| | - Ziaullah M Sain
- Department of Microbiology, Faculty of Medicine, Rabigh. King Abdulaziz University, Jeddah, KSA 21589
| | - Wael Abdullah Almutairi
- Department of Respiratory Services, Ministry of National Guard Hospital and Health Affairs (MNGHA) P.O. box 22490, kingdom of Saudi Arabia
| | - Ali Saeed Alamri
- Molecular Pathology Lab Department of Pathology and Laboratory Medicine, Ministry of National Guard Hospital and Health Affairs (MNGHA), P.O. box 22490, Kingdom of Saudi Arabia
| | - Ahmed Hamdan Aloufi
- Department of Pathology and Laboratory Medicine, Ministry of National Guard-Health Affairs P.O. box 22490, Kingdom of Saudi Arabia
| | - Waleed Hassan Almalki
- Department of Pharmacology and Toxicology, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia
| | - Mohammed Tarique
- Center for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi-110025, India
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Biosynthesis and applications of iron oxide nanocomposites synthesized by recombinant Escherichia coli. Appl Microbiol Biotechnol 2022; 106:1127-1137. [DOI: 10.1007/s00253-022-11779-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/11/2022] [Accepted: 01/13/2022] [Indexed: 12/31/2022]
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Lin X, Fang Y, Hao Z, Wu H, Zhao M, Wang S, Liu Y. Bacteria-Triggered Multifunctional Hydrogel for Localized Chemodynamic and Low-Temperature Photothermal Sterilization. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2103303. [PMID: 34643054 DOI: 10.1002/smll.202103303] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 08/21/2021] [Indexed: 06/13/2023]
Abstract
Pathogenic infections seriously threaten public health and have been considered as one of the most critical challenges in clinical therapy. Construction of a safe and efficient photothermal antibacterial platform is a promising strategy for treatment of bacterial infections. Considering that high temperature does harm to the normal tissues and cells, herein, a bacteria-triggered multifunctional hydrogel is constructed for low-temperature photothermal sterilization with high efficiency by integrating localized chemodynamic therapy (L-CDT). The hydrogel is constructed by incorporating copper sulfide nanoparticles (CuSNPs ) with photothermal profile into the network of hyaluronic acid (HA) and Fe3+ -EDTA complexes, named as CHFH (CuSNPs -HA-Fe3+ -EDTA hydrogel). Bacteria can be accumulated on the surface of CHFH, which secretes hyaluronidase to decompose the HA and release Fe3+ . The Fe3+ is reduced into Fe2+ in microenvironment of bacteria to trigger Fenton reaction. The generated hydroxyl radicals result in sterilization based on L-CDT within short range. By integrating with photothermal property of CuSNPs , low-temperature photothermal therapy (LT-PTT) for sterilization is realized, which improves the antibacterial efficiency while minimizes damage to normal tissues. The CHFH is further used to prepare Band aid which effectively promotes the Staphylococcus aureus-infected wound healing process in vivo, confirming the great potential for clinical application.
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Affiliation(s)
- Xiaodong Lin
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, P. R. China
| | - Yuan Fang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, P. R. China
| | - Zhe Hao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, P. R. China
| | - Haotian Wu
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, P. R. China
| | - Minyang Zhao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, P. R. China
| | - Shuo Wang
- Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, 300071, P. R. China
| | - Yaqing Liu
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, P. R. China
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Sharma A, Mishra RK, Goud KY, Mohamed MA, Kummari S, Tiwari S, Li Z, Narayan R, Stanciu LA, Marty JL. Optical Biosensors for Diagnostics of Infectious Viral Disease: A Recent Update. Diagnostics (Basel) 2021; 11:2083. [PMID: 34829430 PMCID: PMC8625106 DOI: 10.3390/diagnostics11112083] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 10/26/2021] [Accepted: 11/05/2021] [Indexed: 12/15/2022] Open
Abstract
The design and development of biosensors, analytical devices used to detect various analytes in different matrices, has emerged. Biosensors indicate a biorecognition element with a physicochemical analyzer or detector, i.e., a transducer. In the present scenario, various types of biosensors have been deployed in healthcare and clinical research, for instance, biosensors for blood glucose monitoring. Pathogenic microbes are contributing mediators of numerous infectious diseases that are becoming extremely serious worldwide. The recent outbreak of COVID-19 is one of the most recent examples of such communal and deadly diseases. In efforts to work towards the efficacious treatment of pathogenic viral contagions, a fast and precise detection method is of the utmost importance in biomedical and healthcare sectors for early diagnostics and timely countermeasures. Among various available sensor systems, optical biosensors offer easy-to-use, fast, portable, handy, multiplexed, direct, real-time, and inexpensive diagnosis with the added advantages of specificity and sensitivity. Many progressive concepts and extremely multidisciplinary approaches, including microelectronics, microelectromechanical systems (MEMSs), nanotechnologies, molecular biology, and biotechnology with chemistry, are used to operate optical biosensors. A portable and handheld optical biosensing device would provide fast and reliable results for the identification and quantitation of pathogenic virus particles in each sample. In the modern day, the integration of intelligent nanomaterials in the developed devices provides much more sensitive and highly advanced sensors that may produce the results in no time and eventually help clinicians and doctors enormously. This review accentuates the existing challenges engaged in converting laboratory research to real-world device applications and optical diagnostics methods for virus infections. The review's background and progress are expected to be insightful to the researchers in the sensor field and facilitate the design and fabrication of optical sensors for life-threatening viruses with broader applicability to any desired pathogens.
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Affiliation(s)
- Atul Sharma
- Department of Pharmaceutical Chemistry, SGT College of Pharmacy, SGT University, Budhera, Gurugram 122505, Haryana, India;
| | - Rupesh Kumar Mishra
- Bindley Bio-Science Center, Lab 222, 1203 W. State St., Purdue University, West Lafayette, IN 47907, USA
- School of Materials Engineering, Purdue University, 701 West Stadium Avenue, West Lafayette, IN 47907, USA
| | - K. Yugender Goud
- Department of NanoEngineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Mona A. Mohamed
- Pharmaceutical Chemistry Department, National Organization for Drug Control and Research (NODCAR), Egyptian Drug Authority, Giza 99999, Egypt;
| | - Shekher Kummari
- Department of Chemistry, National Institute of Technology, Warangal 506004, Telangana, India;
| | - Swapnil Tiwari
- School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur 492010, Chattisgarh, India;
| | - Zhanhong Li
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Yangpu District, Shanghai 200093, China;
| | - Roger Narayan
- Department of Materials Science and Engineering, NC State University, Raleigh, NC 27695, USA;
- Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695, USA
| | - Lia A. Stanciu
- School of Materials Engineering, Purdue University, 701 West Stadium Avenue, West Lafayette, IN 47907, USA
| | - Jean Louis Marty
- BAE-LBBM Laboratory, University of Perpignan via Domitia, 52 Avenue Paul Alduy, CEDEX 9, 66860 Perpignan, France
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Bisht A, Mishra A, Bisht H, Tripathi RM. Nanomaterial Based Biosensors for Detection of Viruses Including SARS-CoV-2: A Review. JOURNAL OF ANALYSIS AND TESTING 2021; 5:327-340. [PMID: 34777896 PMCID: PMC8572656 DOI: 10.1007/s41664-021-00200-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 08/17/2021] [Indexed: 12/23/2022]
Abstract
The COVID-19 outbreak led to an uncontrollable situation and was later declared a global pandemic. RT-PCR is one of the reliable methods for the detection of COVID-19, but it requires transporting samples to sophisticated laboratories and takes a significant amount of time to amplify the viral genome. Therefore, there is an urgent need for a large-scale, rapid, specific, and portable detection kit. Nowadays nanomaterials-based detection technology has been developed and it showed advancement over the conventional methods in selectivity and sensitivity. This review aims at summarising some of the most promising nanomaterial-based sensing technologies for detecting SARS-CoV-2. Nanomaterials possess unique physical, chemical, electrical and optical properties, which can be exploited for the application in biosensors. Furthermore, nanomaterials work on the same scale as biological processes and can be easily functionalized with substrates of interest. These devices do not require extraordinary sophistication and are suitable for use by common individuals without high-tech laboratories. Electrochemical and colorimetric methods similar to glucometer and pregnancy test kits are discussed and reviewed as potential diagnostic devices for COVID-19. Other devices working on the principle of immune response and microarrays are also discussed as possible candidates. Nanomaterials such as metal nanoparticles, graphene, quantum dots, and CNTs enhance the limit of detection and accuracy of the biosensors to give spontaneous results. The challenges of industrial-scale production of these devices are also discussed. If mass production is successfully developed, these sensors can ramp up the testing to provide the accurate number of people affected by the virus, which is extremely critical in today's scenario.
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Affiliation(s)
- Ayushi Bisht
- Amity Institute of Biotechnology, Amity University, Noida, 201303 India
| | - Abhishek Mishra
- Amity Institute of Nanotechnology, Amity University, Noida, 201303 India
| | - Harender Bisht
- Reliance Industries Limited, Motikhavdi, Jamnagar, 361140 India
| | - R. M. Tripathi
- Amity Institute of Nanotechnology, Amity University, Noida, 201303 India
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48
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Zhang Z, Wang H, Su M, Sun Y, Tan S, Ponkratova E, Zhao M, Wu D, Wang K, Pan Q, Chen B, Zuev D, Song Y. Printed Nanochain‐Based Colorimetric Assay for Quantitative Virus Detection. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202109985] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Zeying Zhang
- Key Laboratory of Green Printing CAS Research/Education Center for Excellence in Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China
- University of Chinese Academy of Sciences (UCAS) P. R. China
| | - Huadong Wang
- Key Laboratory of Green Printing CAS Research/Education Center for Excellence in Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China
- University of Chinese Academy of Sciences (UCAS) P. R. China
| | - Meng Su
- Key Laboratory of Green Printing CAS Research/Education Center for Excellence in Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China
- University of Chinese Academy of Sciences (UCAS) P. R. China
| | - Yali Sun
- School of Physics and Engineering ITMO University Saint Petersburg 197101 Russia
| | - Shuang‐Jie Tan
- Key Laboratory of Green Printing CAS Research/Education Center for Excellence in Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China
| | - Ekaterina Ponkratova
- School of Physics and Engineering ITMO University Saint Petersburg 197101 Russia
| | - Maoxiong Zhao
- State Key Laboratory of Surface Physics Key Laboratory of Micro- and Nano-Photonic Structures (Ministry of Education) and Department of Physics Fudan University Shanghai 200433 P. R. China
| | - Dongdong Wu
- Department of Neurosurgery, First Medical Center General Hospital of the People's Liberation Army of China Beijing 100853 P. R. China
| | - Keyu Wang
- Department of Clinical Laboratory The second medical center of Chinese PLA General Hospital Beijing 100853 P. R. China
| | - Qi Pan
- Key Laboratory of Green Printing CAS Research/Education Center for Excellence in Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China
- University of Chinese Academy of Sciences (UCAS) P. R. China
| | - Bingda Chen
- Key Laboratory of Green Printing CAS Research/Education Center for Excellence in Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China
- University of Chinese Academy of Sciences (UCAS) P. R. China
| | - Dmitry Zuev
- School of Physics and Engineering ITMO University Saint Petersburg 197101 Russia
| | - Yanlin Song
- Key Laboratory of Green Printing CAS Research/Education Center for Excellence in Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China
- University of Chinese Academy of Sciences (UCAS) P. R. China
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49
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Zhang Z, Wang H, Su M, Sun Y, Tan SJ, Ponkratova E, Zhao M, Wu D, Wang K, Pan Q, Chen B, Zuev D, Song Y. Printed Nanochain-Based Colorimetric Assay for Quantitative Virus Detection. Angew Chem Int Ed Engl 2021; 60:24234-24240. [PMID: 34494351 DOI: 10.1002/anie.202109985] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/02/2021] [Indexed: 12/14/2022]
Abstract
Fast and ultrasensitive detection of pathogens is very important for efficient monitoring and prevention of viral infections. Here, we demonstrate a label-free optical detection approach that uses a printed nanochain assay for colorimetric quantitative testing of viruses. The antibody-modified nanochains have high activity and specificity which can rapidly identify target viruses directly from biofluids in 15 min, as well as differentiate their subtypes. Arising from the resonance induced near-field enhancement, the color of nanochains changes with the binding of viruses that are easily observed by a smartphone. We achieve the detection limit of 1 PFU μL-1 through optimizing the optical response of nanochains in visible region. Besides, it allows for real-time response to virus concentrations ranging from 0 to 1.0×105 PFU mL-1 . This low-cost and portable platform is also applicable to rapid detection of other biomarkers, making it attractive for many clinical applications.
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Affiliation(s)
- Zeying Zhang
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Huadong Wang
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Meng Su
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Yali Sun
- School of Physics and Engineering, ITMO University, Saint Petersburg, 197101, Russia
| | - Shuang-Jie Tan
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China
| | - Ekaterina Ponkratova
- School of Physics and Engineering, ITMO University, Saint Petersburg, 197101, Russia
| | - Maoxiong Zhao
- State Key Laboratory of Surface Physics, Key Laboratory of Micro- and Nano-Photonic Structures (Ministry of Education) and Department of Physics, Fudan University, Shanghai, 200433, P. R. China
| | - Dongdong Wu
- Department of Neurosurgery, First Medical Center, General Hospital of the People's Liberation Army of China, Beijing, 100853, P. R. China
| | - Keyu Wang
- Department of Clinical Laboratory, The second medical center of Chinese PLA General Hospital, Beijing, 100853, P. R. China
| | - Qi Pan
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Bingda Chen
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences (UCAS), P. R. China
| | - Dmitry Zuev
- School of Physics and Engineering, ITMO University, Saint Petersburg, 197101, Russia
| | - Yanlin Song
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China.,University of Chinese Academy of Sciences (UCAS), P. R. China
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50
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Sher M, Faheem A, Asghar W, Cinti S. Nano-engineered screen-printed electrodes: A dynamic tool for detection of viruses. Trends Analyt Chem 2021; 143:116374. [PMID: 34177011 PMCID: PMC8215883 DOI: 10.1016/j.trac.2021.116374] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
There is a growing interest in the development of portable, cost-effective, and easy-to-use biosensors for the rapid detection of diseases caused by infectious viruses: COVID-19 pandemic has highlighted the central role of diagnostics in response to global outbreaks. Among all the existing technologies, screen-printed electrodes (SPEs) represent a valuable technology for the detection of various viral pathogens. During the last five years, various nanomaterials have been utilized to modify SPEs to achieve convincing effects on the analytical performances of portable SPE-based diagnostics. Herein we would like to provide the readers a comprehensive investigation about the recent combination of SPEs and various nanomaterials for detecting viral pathogens. Manufacturing methods and features advances are critically discussed in the context of early-stage detection of diseases caused by HIV-1, HBV, HCV, Zika, Dengue, and Sars-CoV-2. A detailed table is reported to easily guide readers toward the "right" choice depending on the virus of interest.
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Affiliation(s)
- Mazhar Sher
- Asghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USA
- Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
| | - Aroosha Faheem
- State Key Laboratory of Agricultural Microbiology, College of Life Sciences and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Waseem Asghar
- Asghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USA
- Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
- Department of Biological Sciences (Courtesy Appointment), Florida Atlantic University, Boca Raton, FL 33431, USA
| | - Stefano Cinti
- Department of Pharmacy, University of Naples "Federico II", Via D. Montesano 49, 80131, Naples, Italy
- BAT Center-Interuniversity Center for Studies on Bioinspired Agro-Environmental Technology, University of Napoli "Federico II", 80055 Naples, Italy
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