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Jing S, Wang Y, Zheng J, Li X, Chen Y, Wu M, Liu W, Wanger TC. Size-classifiable quantification of nanoplastic by rate zonal centrifugation coupled with pyrolysis-gas chromatography-mass spectrometry. Anal Chim Acta 2024; 1314:342752. [PMID: 38876511 DOI: 10.1016/j.aca.2024.342752] [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: 12/22/2023] [Revised: 04/11/2024] [Accepted: 05/20/2024] [Indexed: 06/16/2024]
Abstract
Particle size is an important indicator to evaluate the environmental risk and biotoxicity of nanoplastic (NP, particle diameter <1000 nm). The methods available to determine size classes of NP in environmental samples are few and are rare to achieve efficient separation and recycling of NP with close particle sizes. Here, we show that rate-zonal centrifugation (RZC) can quickly and efficiently collect NP of different sizes based on their sedimentation coefficients. When combined with cloud-point extraction (CPE) and pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS), our method can quantify three NP particle-size classes separately (including 100 nm, 300 nm, and 600 nm) in aqueous samples with high recovery (81.4 %-89.4 %), limits of detections (LODs, 33.5-53.4 μg/L), and limits of quantifications (LOQs, 110.6-167.2 μg/L). Compared with the conventional sample pretreatment process, our method can effectively extract and determine the NP with different sizes. Our approach is highly scalable and can be effectively applied to NP in a wide range of aquatic environments. Meanwhile, our approach is highly scalable to incorporate diverse assays to study the environmental behaviours and ecological risks of NP.
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Affiliation(s)
- Siyuan Jing
- Department of Environmental Science and Engineering, Fudan University, 200433, Shanghai, China; Sustainable Agricultural Systems & Engineering Lab, School of Engineering, Westlake University, 310024, Hangzhou, Zhejiang Province, China; Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, 310024, Hangzhou, Zhejiang Province, China.
| | - Yanting Wang
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, 310058, Hangzhou, China
| | - Jiaying Zheng
- Sustainable Agricultural Systems & Engineering Lab, School of Engineering, Westlake University, 310024, Hangzhou, Zhejiang Province, China
| | - Xin Li
- Instrumentation and Service Center for Molecular Sciences, Westlake University, 310024, Hangzhou, China
| | - Yinjuan Chen
- Instrumentation and Service Center for Molecular Sciences, Westlake University, 310024, Hangzhou, China
| | - Minghuo Wu
- School of Ocean Science and Technology, Dalian University of Technology, 124221, Panjin, China
| | - Weiping Liu
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, Institute of Environmental Health, College of Environmental and Resource Sciences, Zhejiang University, 310058, Hangzhou, China
| | - Thomas C Wanger
- Sustainable Agricultural Systems & Engineering Lab, School of Engineering, Westlake University, 310024, Hangzhou, Zhejiang Province, China; Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, 310024, Hangzhou, Zhejiang Province, China; ChinaRiceNetwork.org, 310024, Hangzhou, China.
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2
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Li H, Lee LM, Yu D, Chan SH, Li A. An optimized multi-technique based analytical platform for identification, characterization and quantification of nanoplastics in water. Talanta 2024; 272:125800. [PMID: 38394751 DOI: 10.1016/j.talanta.2024.125800] [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: 09/27/2023] [Revised: 12/30/2023] [Accepted: 02/13/2024] [Indexed: 02/25/2024]
Abstract
Nanoplastics (NPs) have been identified as an emerging concern for the environment and our food chains in recent years. Monitoring the concentration and size of nanoplastics is essential to assess the potential risks that nanoplastic particles may pose. In this study, we presented a multi-technique based analytical platform to identify, characterize and quantify nanoplastics in water samples through a combination of sample pre-concentration, asymmetric flow field-flow fractionation coupled with multi-angle light scattering (AF4-MALS) and pyrolysis-GC/MS (Py-GC/MS). Models for predicting NPs concentration and particle number in unknown samples were established and validated using NPs standards of known size and AF4-MALS response. Py-GC/MS was applied for further identification of polymer type and quantification of mass concentration. Filtration conditions for pre-concentration were optimized to ensure a high recovery rate with minimal effect on original particle size. The addition of 0.05% SDS prior to filtration, using controlled filtration procedures, effectively improved the recovery. Furthermore, this study demonstrates the application of the analytical platform for the characterization and quantification of different nanoparticles (e.g. spiked PMMA and PS NPs) in the size range 60 nm-350 nm with detection limits down to 0.01 ppm in water samples. The established analytical platform can fill an analytical gap by offering a solution for quantifying size-resolved mass concentrations of nanoplastics and providing comprehensive data on size distribution, particle number and mass quantification with high sensitivity for detection.
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Affiliation(s)
- Haiyan Li
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, 609919, Singapore
| | - Lin Min Lee
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, 609919, Singapore
| | - Dingyi Yu
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, 609919, Singapore.
| | - Sheot Harn Chan
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, 609919, Singapore
| | - Angela Li
- National Centre for Food Science, Singapore Food Agency, 7 International Business Park, 609919, Singapore
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3
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Mathew RA, Mowla M, Shakiba S, Berté TB, Louie SM. Prediction of Nanoparticle Photoreactivity in Mixtures of Surface Foulants Requires Kinetic (Non-equilibrium) Adsorption Considerations. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:8542-8553. [PMID: 38682869 DOI: 10.1021/acs.est.3c09677] [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: 05/01/2024]
Abstract
The adsorption of foulants on photocatalytic nanoparticles can suppress their reactivity in water treatment applications by scavenging reactive species at the photocatalyst surface, screening light, or competing for surface sites. These inhibitory effects are commonly modeled using the Langmuir-Hinshelwood model, assuming that adsorbed layer compositions follow Langmuirian (equilibrium) competitive adsorption. However, this assumption has not been evaluated in complex mixtures of foulants. This study evaluates the photoreactivity of titanium dioxide (TiO2) nanoparticles toward a target compound, phenol, in the presence of two classes of foulants ─ natural organic matter (NOM) and a protein, bovine serum albumin (BSA) ─ and mixtures of the two. Langmuir adsorption models predict that BSA should strongly influence the nanoparticle photoreactivity because of its higher adsorption affinity relative to phenol and NOM. However, model evaluation of the experimental phenol decay rates suggested that neither the phenol nor foulant surface coverages are governed by Langmuirian competitive adsorption. Rather, a reactivity model incorporating kinetic predictions of adsorbed layer compositions (favoring NOM adsorption) outperformed Langmuirian models in providing accurate, unbiased predictions of phenol degradation rates. This research emphasizes the importance of using first-principles models that account for adsorption kinetics when assumptions of equilibrium adsorption do not apply.
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Affiliation(s)
- Riya A Mathew
- Department of Civil & Environmental Engineering, University of Houston, Houston, Texas 77004, United States
| | - Marfua Mowla
- Department of Civil & Environmental Engineering, University of Houston, Houston, Texas 77004, United States
| | - Sheyda Shakiba
- Department of Civil & Environmental Engineering, University of Houston, Houston, Texas 77004, United States
| | - Tchemongo B Berté
- Department of Civil & Environmental Engineering, University of Houston, Houston, Texas 77004, United States
| | - Stacey M Louie
- Department of Civil & Environmental Engineering, University of Houston, Houston, Texas 77004, United States
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4
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Hashemihedeshi M, Haywood E, Gatch DC, Jantunen L, Helm PA, Diamond ML, Dorman FL, Cahill LS, Jobst KJ. Size-Resolved Identification and Quantification of Micro/Nanoplastics in Indoor Air Using Pyrolysis Gas Chromatography-Ion Mobility Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:275-284. [PMID: 38239096 DOI: 10.1021/jasms.3c00362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Humans are exposed to differing levels of micro/nanoplastics (MNPs) through inhalation, but few studies have attempted to measure <1 μm MNPs in air, in part due to a paucity of analytical methods. We developed an approach to identify and quantify MNPs in indoor air using a novel pyrolysis gas chromatographic cyclic ion mobility mass spectrometer (pyr-GCxcIMS). Four common plastic types were targeted for identification, namely, (polystyrene (PS), polyethylene (PE), polypropylene (PP), and polymethyl methacrylate (PMMA). The method was applied to size-resolved particulate (56 nm to 18 μm) collected from two different indoor environments using a Micro-Orifice Uniform Deposit Impactors (MOUDI) model 110 cascade impactor. Comprehensive two-dimensional separation by GCxcIMS also enabled the retrospective analysis of other polymers and plastic additives. The mean concentrations of MNP particles with diameters of <10 μm and <2.5 μm in the laboratory were estimated to be 47 ± 5 and 27 ± 4 μg/m3, respectively. In the private residence, the estimated concentrations were 24 ± 3 and 16 ± 2 μg/m3. PS was the most abundant MNP type in both locations. Nontargeted screening revealed the presence of plastic additives, such as TDCPP (tris(1,3-dichloro-2-propyl)phosphate) whose abundance correlated with that of polyurethane (PU). This is consistent with their use as flame retardants in PU-based upholstered furniture and building insulation. This study provides evidence of indoor exposure to MNPs and underlines the need for further study of this route of exposure to MNPs and the plastic additives carried with them.
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Affiliation(s)
- Mahin Hashemihedeshi
- Department of Chemistry, Memorial University of Newfoundland, 45 Arctic Avenue, St. John's, NL A1C 5S7, Canada
| | - Ethan Haywood
- Department of Chemistry, Memorial University of Newfoundland, 45 Arctic Avenue, St. John's, NL A1C 5S7, Canada
| | - Daniel C Gatch
- Gerstel, 701 Digital Drive, Linthicum Heights, Maryland 21090, United States
| | - Liisa Jantunen
- Environment & Climate Change Canada, 6248 8th Line, Egbert, ON L0L 1N0, Canada
| | - Paul A Helm
- Ontario Ministry of the Environment, Conservation and Parks, 125 Resources Road, Etobicoke, ON M9P 3V6, Canada
| | - Miriam L Diamond
- Department of Earth Sciences and School of the Environment, University of Toronto, 22 Ursula Franklin Street, Toronto, Ontario M5S 3B1, Canada
| | - Frank L Dorman
- Waters Corporation, 34 Maple Street, Milford, Massachusetts 01757, United States
- Department of Chemistry, Dartmouth College, Hannover, New Hampshire 03755, United States
| | - Lindsay S Cahill
- Department of Chemistry, Memorial University of Newfoundland, 45 Arctic Avenue, St. John's, NL A1C 5S7, Canada
| | - Karl J Jobst
- Department of Chemistry, Memorial University of Newfoundland, 45 Arctic Avenue, St. John's, NL A1C 5S7, Canada
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Caprise MA, Quevedo AC, Riley KR. Quantitative separation of polystyrene nanoparticles in environmental matrices with picogram detection limits using capillary electrophoresis. Chem Commun (Camb) 2023; 60:63-66. [PMID: 38018288 DOI: 10.1039/d3cc04588a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
We developed a capillary electrophoresis method to separate polystyrene particles (PSPs) with different sizes or different surface functionalities. Separations were performed in buffer and 100 mg L-1 clay or 100 mg L-1 Suwanee River humic acid. In all solutions, PSPs were baseline or near-baseline resolved in less than 15 minutes.
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Affiliation(s)
- Michael A Caprise
- Department of Chemistry & Biochemistry, Swarthmore College, 500 College Ave, Swarthmore, PA 19081, USA.
| | - Ana C Quevedo
- Department of Chemical Engineering, McGill University, Montreal, Quebec, H3A0C5, Canada
| | - Kathryn R Riley
- Department of Chemistry & Biochemistry, Swarthmore College, 500 College Ave, Swarthmore, PA 19081, USA.
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Barreto A, Santos J, Andrade G, Santos M, Maria VL. New Insights into Nanoplastics Ecotoxicology: Effects of Long-Term Polystyrene Nanoparticles Exposure on Folsomia candida. TOXICS 2023; 11:876. [PMID: 37888726 PMCID: PMC10610651 DOI: 10.3390/toxics11100876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/16/2023] [Accepted: 10/20/2023] [Indexed: 10/28/2023]
Abstract
Despite the growing concern over nanoplastics' (NPls) environmental impacts, their long-term effects on terrestrial organisms remain poorly understood. The main aim of this study was to assess how NPls exposure impacts both the parental (F1) and subsequent generations (F2 and F3) of the soil-dwelling species Folsomia candida. After a standard exposure (28 days), we conducted a multigenerational study along three generations (84 days), applying polystyrene nanoparticles (PS NPs; diameter of 44 nm) as representatives of NPls. Endpoints from biochemical to individual levels were assessed. The standard test: PS NPs (0.015 to 900 mg/kg) had no effect in F. candida survival or reproduction. The multigenerational test: PS NPs (1.5 and 300 mg/kg) induced no effects on F. candida survival and reproduction along the three generations (F1 to F3). PS NPs induced no effects in catalase, glutathione reductase, glutathione S-transferases, and acetylcholinesterase activities for the juveniles of the F1 to F3. Oxidative damage through lipid peroxidation was detected in the offspring of F1 but not in the juveniles of F2 and F3. Our findings underscore the importance of evaluating multigenerational effects to gain comprehensive insights into the contaminants long-term impact, particularly when organisms are continuously exposed, as is the case with NPls.
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Affiliation(s)
- Angela Barreto
- Department of Biology & Centre for Environmental and Marine Studies (CESAM), University of Aveiro, Campus of Santiago, 3810-193 Aveiro, Portugal
| | - Joana Santos
- Department of Biology & Centre for Environmental and Marine Studies (CESAM), University of Aveiro, Campus of Santiago, 3810-193 Aveiro, Portugal
| | - Gonçalo Andrade
- Department of Biology & Centre for Environmental and Marine Studies (CESAM), University of Aveiro, Campus of Santiago, 3810-193 Aveiro, Portugal
| | - Matilde Santos
- Department of Biology & Centre for Environmental and Marine Studies (CESAM), University of Aveiro, Campus of Santiago, 3810-193 Aveiro, Portugal
| | - Vera L Maria
- Department of Biology & Centre for Environmental and Marine Studies (CESAM), University of Aveiro, Campus of Santiago, 3810-193 Aveiro, Portugal
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Nath J, De J, Sur S, Banerjee P. Interaction of Microbes with Microplastics and Nanoplastics in the Agroecosystems-Impact on Antimicrobial Resistance. Pathogens 2023; 12:888. [PMID: 37513735 PMCID: PMC10386327 DOI: 10.3390/pathogens12070888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/22/2023] [Accepted: 06/25/2023] [Indexed: 07/30/2023] Open
Abstract
Microplastics (MPs) and nanoplastics (NPs) are hotspots for the exchange of antimicrobial resistance genes (ARGs) between different bacterial taxa in the environment. Propagation of antimicrobial resistance (AMR) is a global public health issue that needs special attention concerning horizontal gene transfer (HGT) under micro-nano plastics (MNPs) pressure. Interactions between MNPs and microbes, or mere persistence of MNPs in the environment (either water or soil), influence microbial gene expressions, affecting autochthonous microbiomes, their resistomes, and the overall ecosystem. The adsorption of a range of co-contaminants on MNPs leads to the increased interaction of pollutants with microbes resulting in changes in AMR, virulence, toxin production, etc. However, accurately estimating the extent of MNP infestation in agroecosystems remains challenging. The main limitation in estimating the level of MNPs contamination in agroecosystems, surface and subsurface waters, or sediments is the lack of standardized protocols for extraction of MPs and analytical detection methods from complex high organic content matrices. Nonetheless, recent advances in MPs detection from complex matrices with high organic matter content are highly promising. This review aims to provide an overview of relevant information available to date and summarize the already existing knowledge about the mechanisms of MNP-microbe interactions including the different factors with influence on HGT and AMR. In-depth knowledge of the enhanced ARGs propagation in the environment under the influence of MNPs could raise the needed awareness, about future consequences and emergence of multidrug-resistant bacteria.
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Affiliation(s)
- Jayashree Nath
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Jayita De
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Shantanu Sur
- Department of Biology, Clarkson University, Potsdam, NY 13699, USA
| | - Pratik Banerjee
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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8
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Loeschner K, Vidmar J, Hartmann NB, Bienfait AM, Velimirovic M. Finding the tiny plastic needle in the haystack: how field flow fractionation can help to analyze nanoplastics in food. Anal Bioanal Chem 2023; 415:7-16. [PMID: 36085421 DOI: 10.1007/s00216-022-04321-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/31/2022] [Accepted: 09/03/2022] [Indexed: 01/11/2023]
Abstract
While the exact health risks associated with nanoplastics are currently the focus of intense research, there is no doubt that humans are exposed to nanoplastics and that food could be a major source of exposure. Nanoplastics are released from plastic materials and articles used during food production, processing, storage, preparation, and serving. They are also likely to enter the food chain via contaminated water, air, and soil. However, very limited exposure data for risk assessment exists so far due to the lack of suitable analytical methods. Nanoplastic detection in food poses a great analytical challenge due to the complexity of plastics and food matrices as well as the small size and expectedly low concentration of the plastic particles. Multidetector field flow fractionation has emerged as a valuable analytical technique for nanoparticle separation over the last decades, and the first studies using the technique for analyzing nanoplastics in complex matrices are emerging. In combination with online detectors and offline analysis, multidetector field flow fractionation is a powerful platform for advanced characterization of nanoplastics in food by reducing sample complexity, which otherwise hampers the full potential of most analytical techniques. The focus of this article is to present the current state of the art of multidetector field flow fractionation for nanoplastic analysis and to discuss future trends and needs aiming at the analysis of nanoplastics in food.
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Affiliation(s)
- Katrin Loeschner
- National Food Institute, Technical University of Denmark, Kemitorvet 201, 2800, Kgs. Lyngby, Denmark.
| | - Janja Vidmar
- Department of Environmental Sciences, Jožef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia
| | - Nanna B Hartmann
- Department of Environmental and Resource Engineering, Technical University of Denmark, Bygningstorvet 115, 2800, Kgs. Lyngby, Denmark
| | | | - Milica Velimirovic
- Flemish Institute for Technological Research (VITO), Boeretang 200, 2400, Mol, Belgium.,Department of Chemistry, Atomic & Mass Spectrometry - A&MS research group, Ghent University, Campus Sterre, Krijgslaan 281-S12, 9000, Ghent, Belgium
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9
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Shakiba S, Shariati S, Wu H, Astete CE, Cueto R, Fini EH, Rodrigues DF, Sabliov CM, Louie SM. Distinguishing nanoparticle drug release mechanisms by asymmetric flow field-flow fractionation. J Control Release 2022; 352:485-496. [PMID: 36280154 DOI: 10.1016/j.jconrel.2022.10.034] [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: 06/05/2022] [Revised: 10/09/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022]
Abstract
This research demonstrates the development, application, and mechanistic value of a multi-detector asymmetric flow field-flow fractionation (AF4) approach to acquire size-resolved drug loading and release profiles from polymeric nanoparticles (NPs). AF4 was hyphenated with multiple online detectors, including dynamic and multi-angle light scattering for NP size and shape factor analysis, fluorescence for drug detection, and total organic carbon (TOC) to quantify the NPs and dissolved polymer in nanoformulations. The method was demonstrated on poly(lactic-co-glycolic acid) (PLGA) NPs loaded with coumarin 6 (C6) as a lipophilic drug surrogate. The bulk C6 release profile using AF4 was validated against conventional analysis of drug extracted from the NPs and complemented with high performance liquid chromatography - quadrupole time-of-flight (HPLC-QTOF) mass spectrometry analysis of oligomeric PLGA species. Interpretation of the bulk drug release profile was ambiguous, with several release models yielding reasonable fits. In contrast, the size-resolved release profiles from AF4 provided critical information to confidently establish the release mechanism. Specifically, the C6-loaded NPs exhibited size-independent release rate constants and no significant NP size or shape transformations, suggesting surface desorption rather than diffusion through the PLGA matrix or erosion. This conclusion was supported through comparative experimental evaluation of PLGA NPs carrying a fully entrapped drug, enrofloxacin, which showed size-dependent diffusive release, along with density functional theory (DFT) calculations indicating a higher adsorption affinity of C6 onto PLGA. In summary, the development of the size-resolved AF4 method and data analysis framework fulfills salient analytical gaps to determine drug localization and release mechanisms from nanomedicines.
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Affiliation(s)
- Sheyda Shakiba
- Department of Civil & Environmental Engineering, University of Houston, Houston, TX 77004, United States
| | - Saba Shariati
- School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287, United States
| | - Haoran Wu
- Department of Civil & Environmental Engineering, University of Houston, Houston, TX 77004, United States
| | - Carlos E Astete
- Department of Biological & Agricultural Engineering, Louisiana State University, Baton Rouge, LA 70803, United States
| | - Rafael Cueto
- Department of Chemistry, Louisiana State University, Baton Rouge, LA 70803, United States
| | - Elham H Fini
- School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287, United States
| | - Debora F Rodrigues
- Department of Civil & Environmental Engineering, University of Houston, Houston, TX 77004, United States
| | - Cristina M Sabliov
- Department of Biological & Agricultural Engineering, Louisiana State University, Baton Rouge, LA 70803, United States
| | - Stacey M Louie
- Department of Civil & Environmental Engineering, University of Houston, Houston, TX 77004, United States.
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10
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Bioanalytical approaches for the detection, characterization, and risk assessment of micro/nanoplastics in agriculture and food systems. Anal Bioanal Chem 2022; 414:4591-4612. [PMID: 35459968 DOI: 10.1007/s00216-022-04069-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 04/02/2022] [Accepted: 04/05/2022] [Indexed: 12/14/2022]
Abstract
This review discusses the most recent literature (mostly since 2019) on the presence and impact of microplastics (MPs, particle size of 1 μm to 5 mm) and nanoplastics (NPs, particle size of 1 to 1000 nm) throughout the agricultural and food supply chain, focusing on the methods and technologies for the detection and characterization of these materials at key entry points. Methods for the detection of M/NPs include electron and atomic force microscopy, vibrational spectroscopy (FTIR and Raman), hyperspectral (bright field and dark field) and fluorescence imaging, and pyrolysis-gas chromatography coupled to mass spectrometry. Microfluidic biosensors and risk assessment assays of MP/NP for in vitro, in vivo, and in silico models have also been used. Advantages and limitations of each method or approach in specific application scenarios are discussed to highlight the scientific and technological obstacles to be overcome in future research. Although progress in recent years has increased our understanding of the mechanisms and the extent to which MP/NP affects health and the environment, many challenges remain largely due to the lack of standardized and reliable detection and characterization methods. Most of the methods available today are low-throughput, which limits their practical application to food and agricultural samples. Development of rapid and high-throughput field-deployable methods for onsite screening of MP/NPs is therefore a high priority. Based on the current literature, we conclude that detecting the presence and understanding the impact of MP/NP throughout the agricultural and food supply chain require the development of novel deployable analytical methods and sensors, the combination of high-precision lab analysis with rapid onsite screening, and a data hub(s) that hosts and curates data for future analysis.
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11
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New Analytical Approaches for Effective Quantification and Identification of Nanoplastics in Environmental Samples. Processes (Basel) 2021. [DOI: 10.3390/pr9112086] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Nanoplastics (NPs) are a rapidly developing subject that is relevant in environmental and food research, as well as in human toxicity, among other fields. NPs have recently been recognized as one of the least studied types of marine litter, but potentially one of the most hazardous. Several studies are now being reported on NPs in the environment including surface water and coast, snow, soil and in personal care products. However, the extent of contamination remains largely unknown due to fundamental challenges associated with isolation and analysis, and therefore, a methodological gap exists. This article summarizes the progress in environmental NPs analysis and makes a critical assessment of whether methods from nanoparticles analysis could be adopted to bridge the methodological gap. This review discussed the sample preparation and preconcentration protocol for NPs analysis and also examines the most appropriate approaches available at the moment, ranging from physical to chemical. This study also discusses the difficulties associated with improving existing methods and developing new ones. Although microscopical techniques are one of the most often used ways for imaging and thus quantification, they have the drawback of producing partial findings as they can be easily mixed up as biomolecules. At the moment, the combination of chemical analysis (i.e., spectroscopy) and newly developed alternative methods overcomes this limitation. In general, multiple analytical methods used in combination are likely to be needed to correctly detect and fully quantify NPs in environmental samples.
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