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Zhao X, Bhat A, O’Connor C, Curtin J, Singh B, Tian F. Review of Detection Limits for Various Techniques for Bacterial Detection in Food Samples. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:855. [PMID: 38786811 PMCID: PMC11124167 DOI: 10.3390/nano14100855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 05/07/2024] [Accepted: 05/12/2024] [Indexed: 05/25/2024]
Abstract
Foodborne illnesses can be infectious and dangerous, and most of them are caused by bacteria. Some common food-related bacteria species exist widely in nature and pose a serious threat to both humans and animals; they can cause poisoning, diseases, disabilities and even death. Rapid, reliable and cost-effective methods for bacterial detection are of paramount importance in food safety and environmental monitoring. Polymerase chain reaction (PCR), lateral flow immunochromatographic assay (LFIA) and electrochemical methods have been widely used in food safety and environmental monitoring. In this paper, the recent developments (2013-2023) covering PCR, LFIA and electrochemical methods for various bacterial species (Salmonella, Listeria, Campylobacter, Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli)), considering different food sample types, analytical performances and the reported limit of detection (LOD), are discussed. It was found that the bacteria species and food sample type contributed significantly to the analytical performance and LOD. Detection via LFIA has a higher average LOD (24 CFU/mL) than detection via electrochemical methods (12 CFU/mL) and PCR (6 CFU/mL). Salmonella and E. coli in the Pseudomonadota domain usually have low LODs. LODs are usually lower for detection in fish and eggs. Gold and iron nanoparticles were the most studied in the reported articles for LFIA, and average LODs were 26 CFU/mL and 12 CFU/mL, respectively. The electrochemical method revealed that the average LOD was highest for cyclic voltammetry (CV) at 18 CFU/mL, followed by electrochemical impedance spectroscopy (EIS) at 12 CFU/mL and differential pulse voltammetry (DPV) at 8 CFU/mL. LOD usually decreases when the sample number increases until it remains unchanged. Exponential relations (R2 > 0.95) between LODs of Listeria in milk via LFIA and via the electrochemical method with sample numbers have been obtained. Finally, the review discusses challenges and future perspectives (including the role of nanomaterials/advanced materials) to improve analytical performance for bacterial detection.
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Affiliation(s)
- Xinyi Zhao
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman, D07 ADY7 Dublin, Ireland; (X.Z.); (A.B.); (C.O.); (B.S.)
- FOCAS Research Institute, Technological University Dublin, Camden Row, D08 CKP1 Dublin, Ireland
| | - Abhijnan Bhat
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman, D07 ADY7 Dublin, Ireland; (X.Z.); (A.B.); (C.O.); (B.S.)
- MiCRA Biodiagnostics Technology Gateway and Health, Engineering & Materials Sciences (HEMS) Research Hub, Technological University Dublin, D24 FKT9 Dublin, Ireland
| | - Christine O’Connor
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman, D07 ADY7 Dublin, Ireland; (X.Z.); (A.B.); (C.O.); (B.S.)
| | - James Curtin
- Faculty of Engineering and Built Environment, Technological University Dublin, Bolton Street, D01 K822 Dublin, Ireland;
| | - Baljit Singh
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman, D07 ADY7 Dublin, Ireland; (X.Z.); (A.B.); (C.O.); (B.S.)
- MiCRA Biodiagnostics Technology Gateway and Health, Engineering & Materials Sciences (HEMS) Research Hub, Technological University Dublin, D24 FKT9 Dublin, Ireland
| | - Furong Tian
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman, D07 ADY7 Dublin, Ireland; (X.Z.); (A.B.); (C.O.); (B.S.)
- FOCAS Research Institute, Technological University Dublin, Camden Row, D08 CKP1 Dublin, Ireland
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2
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Panhwar S, Keerio HA, Ilhan H, Boyacı IH, Tamer U. Principles, Methods, and Real-Time Applications of Bacteriophage-Based Pathogen Detection. Mol Biotechnol 2023:10.1007/s12033-023-00926-5. [PMID: 37914863 DOI: 10.1007/s12033-023-00926-5] [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: 07/05/2023] [Accepted: 10/02/2023] [Indexed: 11/03/2023]
Abstract
Bacterial pathogens in water, food, and the environment are spreading diseases around the world. According to a World Health Organization (WHO) report, waterborne pathogens pose the most significant global health risks to living organisms, including humans and animals. Conventional bacterial detection approaches such as colony counting, microscopic analysis, biochemical analysis, and molecular analysis are expensive, time-consuming, less sensitive, and require a pre-enrichment step. However, the bacteriophage-based detection of pathogenic bacteria is a robust approach that utilizes bacteriophages, which are viruses that specifically target and infect bacteria, for rapid and accurate detection of targets. This review shed light on cutting-edge technologies about the novel structure of phages and the immobilization process on the surface of electrodes to detect targeted bacterial cells. Similarly, the purpose of this study was to provide a comprehensive assessment of bacteriophage-based biosensors utilized for pathogen detection, as well as their trends, outcomes, and problems. This review article summaries current phage-based pathogen detection strategies for the development of low-cost lab-on-chip (LOC) and point-of-care (POC) devices using electrochemical and optical methods such as surface-enhanced Raman spectroscopy (SERS).
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Affiliation(s)
- Sallahuddin Panhwar
- Department of Analytical Chemistry, Faculty of Pharmacy, Gazi University, 06330, Ankara, Turkey.
- Department of Civil Engineering, National University of Sciences and Technology, Quetta, 24090, Balochistan, Pakistan.
| | - Hareef Ahmed Keerio
- Department of Civil and Environmental Engineering, Hanyang University, Seoul, Republic of Korea
| | - Hasan Ilhan
- Department of Chemistry, Faculty of Science, Ordu University, Altinordu, 52200, Ordu, Turkey
| | - Ismail Hakkı Boyacı
- Department of Food Engineering, Faculty of Engineering, Hacettepe University, Beytepe, 06800, Ankara, Turkey
| | - Ugur Tamer
- Department of Analytical Chemistry, Faculty of Pharmacy, Gazi University, 06330, Ankara, Turkey.
- Metu MEMS Center, Ankara, Turkey.
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3
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Fraticelli Guzmán NS, Badawy MW, Stockslager MA, Farrell ML, van Zyl C, Stewart S, Hu DL, Forest CR. Quantitative assessment of automated purification and concentration of E. coli bacteria. SLAS Technol 2023; 28:251-257. [PMID: 36804174 DOI: 10.1016/j.slast.2023.02.004] [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: 10/13/2022] [Revised: 02/11/2023] [Accepted: 02/14/2023] [Indexed: 02/19/2023]
Abstract
Automated methods for rapidly purifying and concentrating bacteria from environmental interferents are needed in next-generation applications for anything from water purification to biological weapons detection. Though previous work has been performed by other researchers in this area, there is still a need to create an automated system that can both purify and concentrate target pathogens in a timely manner with readily available and replaceable components that could be easily integrated with a detection mechanism. Thus, the objective of this work was to design, build, and demonstrate the effectiveness of an automated system, the Automated Dual-filter method for Applied Recovery, or aDARE. aDARE uses a custom LABVIEW program that guides the flow of bacterial samples through a pair of size-based separation membranes to capture and elute the target bacteria. Using aDARE, we eliminated 95% of the interfering beads of a 5 mL-sample volume containing 107 CFU/mL of E. coli contaminated with 2 µm and 10 µm polystyrene beads at 106 beads/mL concentration., The target bacteria were concentrated to more than twice the initial concentration in 900 µL of eluent, resulting in an enrichment ratio for the target bacteria of 42 ± 13 in 5.5 min. These results show the feasibility and effectiveness of using size-based filtration membranes to purify and concentrate a target bacterium, in this case E. coli, in an automated system.
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Affiliation(s)
- Nina Sara Fraticelli Guzmán
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Mohamed W Badawy
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Max A Stockslager
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Michael L Farrell
- Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, GA, United States
| | - Caitlin van Zyl
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA
| | - Seth Stewart
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - David L Hu
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA
| | - Craig R Forest
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA.
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Zhang Y, Escobar A, Guo T, Xu CQ. Label-Free Cyanobacteria Quantification Using a Microflow Cytometry Platform for Early Warning Detection and Characterization of Hazardous Cyanobacteria Blooms. MICROMACHINES 2023; 14:mi14050965. [PMID: 37241590 DOI: 10.3390/mi14050965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/21/2023] [Accepted: 04/25/2023] [Indexed: 05/28/2023]
Abstract
The eutrophication of aquatic ecosystems caused by rapid human urbanization has led to an increased production of potentially hazardous bacterial populations, known as blooms. One of the most notorious forms of these aquatic blooms are cyanobacteria, which in sufficiently large quantities can pose a hazard to human health through ingestion or prolonged exposure. Currently, one of the greatest difficulties in regulating and monitoring these potential hazards is the early detection of cyanobacterial blooms, in real time. Therefore, this paper presents an integrated microflow cytometry platform for label-free phycocyanin fluorescence detection, which can be used for the rapid quantification of low-level cyanobacteria and provide early warning alerts for potential harmful cyanobacterial blooms. An automated cyanobacterial concentration and recovery system (ACCRS) was developed and optimized to reduce the assay volume, from 1000 mL to 1 mL, to act as a pre-concentrator and subsequently enhance the detection limit. The microflow cytometry platform utilizes an on-chip laser-facilitated detection to measure the in vivo fluorescence emitted from each individual cyanobacterial cell, as opposed to measuring overall fluorescence of the whole sample, potentially decreasing the detection limit. By applying transit time and amplitude thresholds, the proposed cyanobacteria detection method was verified by the traditional cell counting technique using a hemocytometer with an R2 value of 0.993. It was shown that the limit of quantification of this microflow cytometry platform can be as low as 5 cells/mL for Microcystis aeruginosa, 400-fold lower than the Alert Level 1 (2000 cells/mL) set by the World Health Organization (WHO). Furthermore, the decreased detection limit may facilitate the future characterization of cyanobacterial bloom formation to better provide authorities with ample time to take the appropriate actions to mitigate human risk from these potentially hazardous blooms.
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Affiliation(s)
- Yushan Zhang
- Department of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Andres Escobar
- Department of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Tianyi Guo
- Forsee Instruments Ltd., Hamilton, ON L8P 0A1, Canada
| | - Chang-Qing Xu
- Department of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Engineering Physics, McMaster University, Hamilton, ON L8S 4L8, Canada
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Eshun GB, Crapo HA, Yazgan I, Cronmiller L, Sadik OA. Sugar-Lectin Interactions for Direct and Selective Detection of Escherichia coli Bacteria Using QCM Biosensor. BIOSENSORS 2023; 13:337. [PMID: 36979549 PMCID: PMC10046022 DOI: 10.3390/bios13030337] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/14/2023] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
Pathogenic Escherichia coli (E. coli) remains a safety concern in the preservation and quality of green leafy vegetables. Sugar-lectin interactions provide a reliable, specific, and effective sensing platform for the detection of bacteria as compared to the tedious conventional plate counting technique. Herein, we present the synthesis of 4-(N-mannosyl) benzoic acid (4-NMBA) and 4-thiophenyl-N-mannose (4-TNM) via a two-step reductive amination for the detection of E. coli using a quartz crystal microbalance (QCM) biosensor. The 4-NMBA was synthesized with mannose and para-aminobenzoic (4-PBA), while the 4-TNM was synthesized with mannose and 4-aminophenyl disulfide (4-AHP) using water and acetic acid in a 1:1 ratio. The resultant structure of mannose derivatives (4-NMBA and 4-TNM) was characterized and confirmed using analytical tools, such as Mass Spectrometer, SEM, and FTIR. The choice of ligands (mannose derivatives) is ascribed to the specific recognition of mannose to the FimH lectin of the type 1 pilus of E. coli. Furthermore, the 4-PBA and 4-AHP conjugated to mannose increase the ligand affinity to FimH lectins. The setup of the QCM biosensor was composed of modification of the crystal surface and the covalent attachment of ligands for the detection of E. coli. The piezoelectric effect (frequency shift of the quartz) was proportional to the change in mass added to the gold crystal surface. Both the 4-NMBA- and 4-TNM-coated QCM sensors had a limit of detection of 3.7 CFU/mL and 6.6 CFU/mL with a sensitivity of 2.56 × 103 ng/mL and 8.99 × 10-5 ng/mL, respectively, within the dynamic range of 103 to 106 CFU/mL. This study demonstrates the application of ligand-coated QCM biosensors as a cost-effective, simple, and label-free technology for monitoring pathogenic bacteria via molecular interactions on crystal surfaces.
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Affiliation(s)
- Gaddi B. Eshun
- Chemistry and Environmental Science, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA
| | - Heather A. Crapo
- Department of Chemistry, Center for Research in Advanced Sensing Technologies & Environmental Sustainability (CREATES), State University of New York at Binghamton, Binghamton, NY 13902, USA
| | - Idris Yazgan
- Department of Chemistry, Center for Research in Advanced Sensing Technologies & Environmental Sustainability (CREATES), State University of New York at Binghamton, Binghamton, NY 13902, USA
| | - Lauren Cronmiller
- Department of Chemistry, Center for Research in Advanced Sensing Technologies & Environmental Sustainability (CREATES), State University of New York at Binghamton, Binghamton, NY 13902, USA
| | - Omowunmi A. Sadik
- Chemistry and Environmental Science, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA
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Houchmandzadeh B, Ballet P. A novel procedure for CFU plating and counting. J Microbiol Methods 2023; 206:106693. [PMID: 36863534 DOI: 10.1016/j.mimet.2023.106693] [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: 12/13/2022] [Revised: 02/23/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023]
Abstract
We present a novel method to automate plating for the Colony Forming Unit (CFU) counting procedure. The apparatus we developed for the application of this method is based on motorized stages and a syringe in order to spread fine drops of a liquid containing a solution of interest on a plate without direct contact with the surface. The apparatus can be used in two different modes. In the the first method which follows the same principle as the classical CFU count, fine drops of liquid are deposited homogeneously on an agar plate and microorganisms are allowed to form colonies. In the second, novel method that we call P0, isolated drops of the order of 10 μL containing both the microbes and the nutrient medium are deposited directly on a regular grid on a hard surface (plastic or glass); after incubation, drops that show no sign of growth inside are used to determine the microbes concentration. This new method removes the need for preparing agar surfaces and allows for easy disposal of waste and reuse of consumables. The apparatus is simple to build and use, the plating is fast and the CFU count in both type of plating is extremely reproducible and robust.
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Affiliation(s)
- Bahram Houchmandzadeh
- Univ. Grenoble Alpes & Centre National de la Recherche Scientifique, LIPhy, F-38000 Grenoble, France.
| | - Patrice Ballet
- Univ. Grenoble Alpes & Centre National de la Recherche Scientifique, LIPhy, F-38000 Grenoble, France
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7
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Semi-automated water sampling module for repeated sampling and concentration of Bacillus cereus group spores. Sci Rep 2023; 13:831. [PMID: 36646757 PMCID: PMC9842714 DOI: 10.1038/s41598-023-27900-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 01/10/2023] [Indexed: 01/17/2023] Open
Abstract
Monitoring the presence of pathogenic Bacillus spores is important for industrial applications, as well as necessary for ensuring human health. Bacillus thuringiensis is used as a biopesticide against several insect pests. Bacillus cereus spores are a significant cause of food poisoning, and Bacillus anthracis is a recognized biosecurity threat. Laboratory-based methods, such as polymerase chain reaction, enzyme-linked immunosorbent assay, or matrix-assisted laser desorption ionization spectroscopy provide sensitive detection of bacteria and spores, but the application of those methods for quasi-continuous environmental monitoring presents a significant challenge requiring frequent human intervention. To address this challenge, we developed a workstation for quasi-autonomous monitoring of water reservoirs for the presence of bacteria and spores, and designed and validated the functionality of a microprocessor-controlled module capable of repetitive collection and pre-concentration of spores in liquid samples tested with fiberglass (FG), polyether sulfone and polyvinylidene fluoride filters. The best results were obtained with FG filters delivering a 20× concentration of B. thuringiensis and B. cereus spores from saline suspensions. The successful 20× pre-concentration of Bacillus spores demonstrated with FG filters could be repeated up to 3 times when bleach decontamination is applied between filtrations. Taken together, our results demonstrate an attractive instrument suitable for semi-automated, quasi-continuous sampling and pre-processing of water samples for biosensing of bacterial spores originating from a complex environment.
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Zhang B, Zou S, Wu W, Yang F, Mehmood K, Wan W, Zhao Q. Mechanism and Effects of Cellular Creep in a Microfluidic Filter. J Phys Chem Lett 2022; 13:8641-8647. [PMID: 36083282 DOI: 10.1021/acs.jpclett.2c02137] [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: 06/15/2023]
Abstract
Biomicroparticles such as proteins, bacterium, and cells are known to be viscoelastic, which significantly affects their performance in microfluidic applications. However, the exact effects and the quantitative study of cellular viscoelastic creep within different applications remain unclear. In this study, the cellular-deforming evolution within a filter unit was studied using a multiphysics numerical model. A general cellular creep deformation process of viscoelastic particle trapping in pores was revealed. Two featured variables, namely, the maximum surface displacement and the volumetric strain, were identified and determined to quantitatively describe the evolution. The effects of flow conditions and physical characteristics of the microparticles were studied. Furthermore, a Giardia concentration experiment was conducted using an integrated hydraulic filtration system with a porous membrane. The experimental results agreed well with the numerical analysis, indicating that, compared to pure elastic particles, it is more difficult to release cellular material matters including cells, chemical synthetic particles, and microbes from trapping due to their time-accumulated creep deformation.
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Affiliation(s)
- Boran Zhang
- School of Electrical and Electronic Engineering, Nanyang Technological University, 639798 Singapore
- Department of Hydraulic Engineering, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Siyuan Zou
- Department of Hydraulic Engineering, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Wenshuai Wu
- Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Fan Yang
- College of Engineering, Peking University, Beijing 100871, China
| | - Kashif Mehmood
- Department of Hydraulic Engineering, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Wuyi Wan
- Department of Hydraulic Engineering, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Qianbin Zhao
- Center for Health Science and Engineering, Hebei Key Laboratory of Biomaterials and Smart Theranostics, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300131, China
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Ezenarro JJ, Mas J, Muñoz-Berbel X, Uria N. Advances in bacterial concentration methods and their integration in portable detection platforms: A review. Anal Chim Acta 2022; 1209:339079. [PMID: 35569858 DOI: 10.1016/j.aca.2021.339079] [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: 05/14/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 11/18/2022]
Abstract
Early detection and identification of microbial contaminants is crucial in many sectors, including clinical diagnostics, food quality control and environmental monitoring. Biosensors have recently gained attention among other bacterial detection technologies due to their simplicity, rapid response, selectivity, and integration/miniaturization potential in portable microfluidic platforms. However, biosensors are limited to the analysis of small sample volumes, and pre-concentration steps are necessary to reach the low sensitivity levels of few bacteria per mL required in the analysis of real clinical, industrial or environmental samples. Many platforms already exist where bacterial detection and separation/accumulation systems are integrated in a single platform, but they have not been compiled and critically analysed. This review reports on most recent advances in bacterial concentration/detection platforms with emphasis on the concentration strategy. Systems based on five concentration strategies, i.e. centrifugation, filtration, magnetic separation, electric separation or acoustophoresis, are here presented and compared in terms of processed sample volume, concentration efficiency, concentration time, ability to work with different types of samples, and integration potential, among others. The critical evaluation presented in the review is envision to facilitate the development of future platforms for fast, sensitive and in situ bacterial detection in real sample.
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Affiliation(s)
- Josune J Ezenarro
- Departament de Genètica I de Microbiologia, Universitat Autònoma de Barcelona, 08193, Cerdanyola Del Vallès, Spain; Waterologies S.L, C/ Dinamarca, 3 (nave 9), Polígono Industrial Les Comes, 08700, Igualada, Spain; Institut de Microelectrònica de Barcelona, IMB-CNM-CSIC, Campus UAB, 08193, Bellaterra, Spain.
| | - Jordi Mas
- Departament de Genètica I de Microbiologia, Universitat Autònoma de Barcelona, 08193, Cerdanyola Del Vallès, Spain
| | - Xavier Muñoz-Berbel
- Institut de Microelectrònica de Barcelona, IMB-CNM-CSIC, Campus UAB, 08193, Bellaterra, Spain
| | - Naroa Uria
- Institut de Microelectrònica de Barcelona, IMB-CNM-CSIC, Campus UAB, 08193, Bellaterra, Spain; Arkyne Tehcnologies S.L (Bioo), Carrer de La Tecnologia, 17, 08840, Viladecans, Spain.
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10
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Islam MA, Karim A, Ethiraj B, Raihan T, Kadier A. Antimicrobial peptides: Promising alternatives over conventional capture ligands for biosensor-based detection of pathogenic bacteria. Biotechnol Adv 2022; 55:107901. [PMID: 34974156 DOI: 10.1016/j.biotechadv.2021.107901] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 11/19/2021] [Accepted: 12/25/2021] [Indexed: 02/07/2023]
Abstract
The detection of pathogenic bacteria using biosensing techniques could be a potential alternative to traditional culture based methods. However, the low specificity and sensitivity of conventional biosensors, critically related to the choice of bio-recognition elements, limit their practical applicability. Mammalian antibodies have been widely investigated as biorecognition ligands due to high specificity and technological advancement in antibody production. However, antibody-based biosensors are not considered as an efficient approach due to the batch-to-batch inconsistencies as well as low stability. In recent years, antimicrobial peptides (AMPs) have been increasingly investigated as ligands as they have demonstrated high stability and possessed multiple sites for capturing bacteria. The conjugation of chemo-selective groups with AMPs has allowed effective immobilization of peptides on biosensor surface. However, the specificity of AMPs is a major concern for consideration as an efficient ligand. In this article, we have reviewed the advances and concerns, particularly the selectivity of AMPs for specific detection of pathogenic bacteria. This review also focuses the state-of-the-art mechanisms, challenges and prospects for designing potential AMP conjugated biosensors. The application of AMP in different biosensing transducers such as electrochemical, optical and piezoelectric varieties has been widely discussed. We argue that this review would provide insights to design and construct AMP conjugated biosensors for the pathogenic bacteria detection.
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Affiliation(s)
- M Amirul Islam
- Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Laboratory for Quantum Semiconductors and Photon-based BioNanotechnology, Department of Electrical and Computer Engineering, Université de Sherbrooke, 3000, boul. de l'Université, Sherbrooke, Québec J1K 0A5, Canada.
| | - Ahasanul Karim
- Department of Soil Sciences and Agri-Food Engineering, Université Laval, Quebec, QC G1V 0A6, Canada
| | - Baranitharan Ethiraj
- Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India
| | - Topu Raihan
- Deapartment of Genetic Engineering and Biotechnology, Shahjalal, University of Science and Technology, Sylhet 3114, Bangladesh
| | - Abudukeremu Kadier
- Laboratory of Environmental Science and Technology, The Xinjiang Technical Institute of Physics and Chemistry, Key Laboratory of Functional Materials and Devices for Special Environments, Chinese Academy of Sciences, Urumqi 830011, China
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Dursun AD, Dogan S, Kavruk M, Busra Tasbasi B, Sudagidan M, Deniz Yilmaz M, Yilmaz B, Ozalp VC, Tuna BG. Surface plasmon resonance aptasensor for soluble ICAM-1 protein in blood samples. Analyst 2022; 147:1663-1668. [DOI: 10.1039/d1an02332b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
An aptamer sequence for soluble ICAM-1 was selected by the SELEX procedure. The ICAM-1 aptamer was used to develop a magnetic separation from blood samples by silica shell nanoparticles and subsequent real-time detection by SPR biosensing.
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Affiliation(s)
- Ali Dogan Dursun
- Department of Physiology, School of Medicine, Atilim University, Ankara, Turkey
- Vocational School of Health Services, Atilim University, Ankara, Turkey
| | - Soner Dogan
- Department of Medical Biology, School of Medicine, Yeditepe University, Istanbul, Turkey
| | - Murat Kavruk
- Department of Nutrition and Dietetics, School of Health Sciences, Atilim University, Ankara, Turkey
| | - B. Busra Tasbasi
- KIT-ARGEM R&D Center, Konya Food and Agriculture University, Konya, Turkey
| | - Mert Sudagidan
- KIT-ARGEM R&D Center, Konya Food and Agriculture University, Konya, Turkey
| | - M. Deniz Yilmaz
- KIT-ARGEM R&D Center, Konya Food and Agriculture University, Konya, Turkey
- Department of Bioengineering, Konya Food and Agriculture University, Konya, Turkey
| | - Bayram Yilmaz
- Department of Physiology, School of Medicine, Yeditepe University, Istanbul, Turkey
| | - Veli C. Ozalp
- Department of Biology, School of Medicine, Atilim University, Ankara, Turkey
| | - Bilge G. Tuna
- Department of Biophysics, School of Medicine, Yeditepe University, Istanbul, Turkey
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Quiñones B, Yambao JC, De Guzman VS, Lee BG, Medin DL. Genomic analysis of high copy-number sequences for the targeted detection of Listeria species using a flow-through surveillance system. Arch Microbiol 2021; 203:3667-3682. [PMID: 34076739 PMCID: PMC8289798 DOI: 10.1007/s00203-021-02388-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 04/14/2021] [Accepted: 05/18/2021] [Indexed: 11/10/2022]
Abstract
The bacterial foodborne pathogen Listeria monocytogenes has been implicated in fresh produce outbreaks with a significant economic impact. Given that L. monocytogenes is widespread in the environment, food production facilities constantly monitor for the presence of Listeria species. To develop a surveillance platform for food processing facilities, this study conducted a comparative genomic analysis for the identification of conserved high copy sequences in the ribosomal RNA of Listeria species. Simulated folding was performed to assess RNA accessibility in the identified genomic regions targeted for detection, and the developed singleplex assay accurately detected cell amounts lower than 5 cells, while no signals were detected for non-targeted bacteria. The singleplex assay was subsequently tested with a flow-through system, consisting of a DNA aptamer-capture step, followed by sample concentration and mechanical lysis for the detection of Listeria species. Validation experiments indicated the continuous flow-through system accurately detected Listeria species at low cell concentrations.
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Affiliation(s)
- Beatriz Quiñones
- U.S. Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Produce Safety and Microbiology Research Unit, Albany, CA, 94710, USA.
| | - Jaszemyn C Yambao
- U.S. Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Produce Safety and Microbiology Research Unit, Albany, CA, 94710, USA
| | | | - Bertram G Lee
- U.S. Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Produce Safety and Microbiology Research Unit, Albany, CA, 94710, USA
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Kim K, Kashefi-Kheyrabadi L, Joung Y, Kim K, Dang H, Chavan SG, Lee MH, Choo J. Recent advances in sensitive surface-enhanced Raman scattering-based lateral flow assay platforms for point-of-care diagnostics of infectious diseases. SENSORS AND ACTUATORS. B, CHEMICAL 2021; 329:129214. [PMID: 36568647 PMCID: PMC9759493 DOI: 10.1016/j.snb.2020.129214] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 11/03/2020] [Accepted: 11/05/2020] [Indexed: 05/03/2023]
Abstract
This review reports the recent advances in surface-enhanced Raman scattering (SERS)-based lateral flow assay (LFA) platforms for the diagnosis of infectious diseases. As observed through the recent infection outbreaks of COVID-19 worldwide, a timely diagnosis of the disease is critical for preventing the spread of a disease and to ensure epidemic preparedness. In this regard, an innovative point-of-care diagnostic method is essential. Recently, SERS-based assay platforms have received increasing attention in medical communities owing to their high sensitivity and multiplex detection capability. In contrast, LFAs provide a user-friendly and easily accessible sensing platform. Thus, the combination of LFAs with a SERS detection system provides a new diagnostic modality for accurate and rapid diagnoses of infectious diseases. In this context, we briefly discuss the recent application of LFA platforms for the POC diagnosis of SARS-CoV-2. Thereafter, we focus on the recent advances in SERS-based LFA platforms for the early diagnosis of infectious diseases and their applicability for the rapid diagnosis of SARS-CoV-2. Finally, the key issues that need to be addressed to accelerate the clinical translation of SERS-based LFA platforms from the research laboratory to the bedside are discussed.
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Key Words
- AuNPs, gold nanoparticles
- BA, bacillary angiomatosis
- CRISPR, Clustered Regularly Interspaced Short Palindromic Repeat
- HIV, human immunodeficiency virus
- IFA, indirect immunofluorescence assay
- IgG, immunoglobulin G
- IgM, immunoglobulin M
- In vitro diagnostics (IVD)
- Infectious disease
- KSHV, Kaposi’s sarcoma herpes virus
- LFA, lateral flow assay
- Lateral flow assay (LFA)
- NC, nitrocellulose
- NS1, nonstructural protein 1
- POC, point-of-care
- PRV, pseudorabies virus
- Point-of-care (POC)
- RT-PCR, real-time polymerase chain reaction
- SARS-CoV-2
- SARS-CoV-2, severe acute respiratory syndrome-coronavirus-2
- SEB, staphylococcal enterotoxin
- SERS, surface-enhanced Raman scattering
- Si-AuNPs, silica-encapsulated AuNPs
- Surface-enhanced Raman scattering (SERS)
- crRNAs, CRISPR RNAs
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Affiliation(s)
- Kihyun Kim
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
| | | | - Younju Joung
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
| | - Kyeongnyeon Kim
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
| | - Hajun Dang
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
| | - Sachin Ganpat Chavan
- School of Integrative Engineering, Chung-Ang University, Seoul, 06974, South Korea
| | - Min-Ho Lee
- School of Integrative Engineering, Chung-Ang University, Seoul, 06974, South Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
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Moumanis K, Sirbu L, Hassen WM, Frost E, de Carvalho LR, Hiernaux P, Dubowski JJ. Water Sampling Module for Collecting and Concentrating Legionella pneumophila from Low-to-Medium Contaminated Environment. BIOSENSORS 2021; 11:34. [PMID: 33513950 PMCID: PMC7910891 DOI: 10.3390/bios11020034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 01/18/2021] [Accepted: 01/22/2021] [Indexed: 11/17/2022]
Abstract
The detection of water contamination with Legionella pneumophila is of critical importance to manufacturers of water processing equipment and public health entities dealing with water networks and distribution systems. Detection methods based on polymerase chain reaction or biosensor technologies require preconcentration steps to achieve attractive sensitivity levels. Preconcentration must also be included in protocols of automated collection of water samples by systems designed for quasi-continuous monitoring of remotely located water reservoirs for the presence of L. pneumophila. We designed and characterized a water sampling module for filtration and backwashing intended for analysis of low-to-medium contaminated water, typically with L. pneumophila bacteria not exceeding 50 colony-forming units per milliliter. The concentration factors of 10× and 21× were achieved with 0.22 and 0.45 µm filters, respectively, for samples of bacteria prepared in clean saline solutions. However, a 5× concentration factor was achieved with 0.45 µm filters for a heavily contaminated or turbid water typical of some industrial water samples.
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Affiliation(s)
- Khalid Moumanis
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Université de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (L.S.); (W.M.H.); (E.F.)
- Department of Electrical and Computer Engineering, Faculty of Engineering, Université de Sherbrooke, 2500 boul. de l’Université, Sherbrooke, QC J1K 2R1, Canada
| | - Lilian Sirbu
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Université de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (L.S.); (W.M.H.); (E.F.)
- Department of Electrical and Computer Engineering, Faculty of Engineering, Université de Sherbrooke, 2500 boul. de l’Université, Sherbrooke, QC J1K 2R1, Canada
| | - Walid Mohamed Hassen
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Université de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (L.S.); (W.M.H.); (E.F.)
- Department of Electrical and Computer Engineering, Faculty of Engineering, Université de Sherbrooke, 2500 boul. de l’Université, Sherbrooke, QC J1K 2R1, Canada
| | - Eric Frost
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Université de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (L.S.); (W.M.H.); (E.F.)
- Department of Microbiology and Infectiology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, 3001, 12th Avenue North, QC J1K 0A5, Canada
| | | | - Pierre Hiernaux
- Produits Chimiques Magnus Limitée, 1271, rue Ampère, Boucherville, QC J4B 5Z5, Canada; (L.R.d.C.); (P.H.)
| | - Jan Jerzy Dubowski
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Université de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (L.S.); (W.M.H.); (E.F.)
- Department of Electrical and Computer Engineering, Faculty of Engineering, Université de Sherbrooke, 2500 boul. de l’Université, Sherbrooke, QC J1K 2R1, Canada
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Point-Of-Care or Point-Of-Need Diagnostic Tests: Time to Change Outbreak Investigation and Pathogen Detection. Trop Med Infect Dis 2020; 5:tropicalmed5040151. [PMID: 32992688 PMCID: PMC7709694 DOI: 10.3390/tropicalmed5040151] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 09/20/2020] [Accepted: 09/21/2020] [Indexed: 12/23/2022] Open
Abstract
In the recent years, the progress of international trade and travel has led to an increased risk of emerging infections. Around 75 percent of the pathogens causing these infections are of animal origin. Point-of-care tests (POCT) and point-of-need tests (PONT) have been established in order to directly provide accurate and rapid diagnostics at field level, the patient bed-side or at the site of outbreaks. These assays can help physicians and decision makers to take the right action without delay. Typically, POCT and PONT rely on genomic identification of pathogens or track their immunological fingerprint. Recently, protocols for metagenomic diagnostics in the field have been developed. In this review, we give an overview of the latest developments in portable diagnostic methods. In addition, four mobile platforms for the implementation of these techniques at point-of-care and point-of-need are described. These approaches can provide reliable diagnostics and surveillance, especially in low resource settings as well as at the level of one health.
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Ezenarro JJ, Párraga-Niño N, Sabrià M, Del Campo FJ, Muñoz-Pascual FX, Mas J, Uria N. Rapid Detection of Legionella pneumophila in Drinking Water, Based on Filter Immunoassay and Chronoamperometric Measurement. BIOSENSORS-BASEL 2020; 10:bios10090102. [PMID: 32825468 PMCID: PMC7558583 DOI: 10.3390/bios10090102] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/21/2020] [Accepted: 08/12/2020] [Indexed: 12/19/2022]
Abstract
Legionella is a pathogenic bacterium, ubiquitous in freshwater environments and able to colonise man-made water systems from which it can be transmitted to humans during outbreaks. The prevention of such outbreaks requires a fast, low cost, automated and often portable detection system. In this work, we present a combination of sample concentration, immunoassay detection, and measurement by chronoamperometry. A nitrocellulose microfiltration membrane is used as support for both the water sample concentration and the Legionella immunodetection. The horseradish peroxidase enzymatic label of the antibodies permits using the redox substrate 3,3′,5,5′-Tetramethylbenzidine to generate current changes proportional to the bacterial concentration present in drinking water. Carbon screen-printed electrodes are employed in the chronoamperometric measurements. Our system reduces the detection time: from the 10 days required by the conventional culture-based methods, to 2–3 h, which could be crucial to avoid outbreaks. Additionally, the system shows a linear response (R2 value of 0.99), being able to detect a range of Legionella concentrations between 101 and 104 cfu·mL−1 with a detection limit (LoD) of 4 cfu·mL−1.
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Affiliation(s)
- Josune J. Ezenarro
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, E-08193 Cerdanyola, Spain;
- Waterologies S.L, C/Dinamarca, 3 (nave 9), Polígon Industrial Les Comes, E-08700c Igualada, Spain
- Correspondence: (J.J.E.); (N.U.)
| | - Noemí Párraga-Niño
- Unitat de Malalties Infeccioses, Fundació Institut de Investigació Germans Trias I Pujol, E-08916 Badalona, Spain; (N.P.-N.); (M.S.)
| | - Miquel Sabrià
- Unitat de Malalties Infeccioses, Fundació Institut de Investigació Germans Trias I Pujol, E-08916 Badalona, Spain; (N.P.-N.); (M.S.)
| | - Fancisco Javier Del Campo
- Institut de Microelectrònica de Barcelona, CNM-CSIC, Esfera UAB-CEI, Campus Nord UAB, E-08193 Bellaterra, Spain; (F.J.D.C.); (F.-X.M.-P.)
- IKERBASQUE, Basque Foundation for Science, E-48013 Bilbao, Spain
| | - Francesc-Xavier Muñoz-Pascual
- Institut de Microelectrònica de Barcelona, CNM-CSIC, Esfera UAB-CEI, Campus Nord UAB, E-08193 Bellaterra, Spain; (F.J.D.C.); (F.-X.M.-P.)
| | - Jordi Mas
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, E-08193 Cerdanyola, Spain;
| | - Naroa Uria
- Institut de Microelectrònica de Barcelona, CNM-CSIC, Esfera UAB-CEI, Campus Nord UAB, E-08193 Bellaterra, Spain; (F.J.D.C.); (F.-X.M.-P.)
- Correspondence: (J.J.E.); (N.U.)
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Zuponcic J, Bomrad C, Ku S, Foster K, Ximenes E, Ladisch MR. Construction and operation of a multiplexed microfiltration device to facilitate rapid pathogen detection. Biotechnol Prog 2019; 35:e2889. [PMID: 31374158 DOI: 10.1002/btpr.2889] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 07/22/2019] [Accepted: 07/26/2019] [Indexed: 12/26/2022]
Affiliation(s)
- Jessica Zuponcic
- Department of Agricultural and Biological Engineering Purdue University West Lafayette Indiana
- Laboratory of Renewable Resources Engineering Purdue University West Lafayette Indiana
| | - Casey Bomrad
- Department of Agricultural and Biological Engineering Purdue University West Lafayette Indiana
- Laboratory of Renewable Resources Engineering Purdue University West Lafayette Indiana
| | - Seockmo Ku
- Laboratory of Renewable Resources Engineering Purdue University West Lafayette Indiana
| | - Kirk Foster
- Weldon School of Biomedical Engineering Purdue University West Lafayette Indiana
| | - Eduardo Ximenes
- Department of Agricultural and Biological Engineering Purdue University West Lafayette Indiana
- Laboratory of Renewable Resources Engineering Purdue University West Lafayette Indiana
| | - Michael R. Ladisch
- Department of Agricultural and Biological Engineering Purdue University West Lafayette Indiana
- Laboratory of Renewable Resources Engineering Purdue University West Lafayette Indiana
- Weldon School of Biomedical Engineering Purdue University West Lafayette Indiana
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