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Article ; Online: Maturation-dependent changes in the size, structure and seeding capacity of Aβ42 amyloid fibrils.

Miller, Alyssa / Chia, Sean / Klimont, Ewa / Knowles, Tuomas P J / Vendruscolo, Michele / Ruggeri, Francesco Simone

Communications biology

2024 Volume 7, Issue 1, Page(s) 153

Abstract: Many proteins self-assemble to form amyloid fibrils, which are highly organized structures stabilized by a characteristic cross-β network of hydrogen bonds. This process underlies a variety of human diseases and can be exploited to develop versatile ... ...

Abstract	Many proteins self-assemble to form amyloid fibrils, which are highly organized structures stabilized by a characteristic cross-β network of hydrogen bonds. This process underlies a variety of human diseases and can be exploited to develop versatile functional biomaterials. Thus, protein self-assembly has been widely studied to shed light on the properties of fibrils and their intermediates. A still open question in the field concerns the microscopic processes that underlie the long-time behaviour and properties of amyloid fibrillar assemblies. Here, we use atomic force microscopy with angstrom-sensitivity to observe that amyloid fibrils undergo a maturation process, associated with an increase in both fibril length and thickness, leading to a decrease of their density, and to a change in their cross-β sheet content. These changes affect the ability of the fibrils to catalyse the formation of new aggregates. The identification of these changes helps us understand the fibril maturation processes, facilitate the targeting of amyloid fibrils in drug discovery, and offer insight into the development of biocompatible and sustainable protein-based materials.
MeSH term(s)	Humans ; Amyloid/metabolism ; Protein Conformation, beta-Strand ; Microscopy, Atomic Force
Chemical Substances	Amyloid
Language	English
Publishing date	2024-02-06
Publishing country	England
Document type	Journal Article
ISSN	2399-3642
ISSN (online)	2399-3642
DOI	10.1038/s42003-024-05858-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Rapid Single Particle Atmospheric Solids Analysis Probe-Mass Spectrometry for Multimodal Analysis of Microplastics.

Vitali, Clementina / Janssen, Hans-Gerd / Ruggeri, Francesco Simone / Nielen, Michel W F

Analytical chemistry

2022 Volume 95, Issue 2, Page(s) 1395–1401

Abstract: Despite mass spectrometry (MS) being proven powerful for the characterization of synthetic polymers, its potential for the analysis of single particle microplastics (MPs) is yet to be fully disclosed. To date, MPs are regarded as ubiquitous contaminants, ...

Abstract	Despite mass spectrometry (MS) being proven powerful for the characterization of synthetic polymers, its potential for the analysis of single particle microplastics (MPs) is yet to be fully disclosed. To date, MPs are regarded as ubiquitous contaminants, but the limited availability of techniques that enable full characterizations of MPs results in a lack of systematic data regarding their occurrence. In this study, an atmospheric solid analysis probe (ASAP) coupled to a compact quadrupole MS is proposed for the chemical analysis of single particle microplastics, while maintaining full compatibility with complementary staining and image analysis approaches. A two-stage ASAP probe temperature program was optimized for the removal of additives and surface contaminants followed by the actual polymer characterization. The method showed specific mass spectra for a wide range of single particle MPs, including polyolefins, polyaromatics, polyacrylates, (bio)polyesters, polyamides, polycarbonates, and polyacrylonitriles. The single particle size detection limits for polystyrene MPs were found to be 30 and 5 μm in full scan and selected ion recording mode, respectively. Moreover, results are presented of a multimodal microplastic analysis approach in which filtered particles are first characterized by staining and fluorescence microscopy, followed by simple probe picking of individual particles for subsequent analysis by ASAP-MS. The method provides a full characterization of MP contamination, including particle number, particle size, particle shape, and chemical identity. The applicability of the developed multimodal method was successfully demonstrated by the analysis of MPs in bioplastic bottled water.
MeSH term(s)	Microplastics/analysis ; Plastics/chemistry ; Gas Chromatography-Mass Spectrometry ; Water Pollutants, Chemical/analysis ; Mass Spectrometry ; Environmental Monitoring
Chemical Substances	Microplastics ; Plastics ; Water Pollutants, Chemical
Language	English
Publishing date	2022-12-22
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1508-8
ISSN	1520-6882 ; 0003-2700
ISSN (online)	1520-6882
ISSN	0003-2700
DOI	10.1021/acs.analchem.2c04345
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Article ; Online: Maturation-dependent changes in the size, structure and seeding capacity of Aβ42 amyloid fibrils

Miller, Alyssa / Chia, Sean / Klimont, Ewa / Knowles, Tuomas P.J. / Vendruscolo, Michele / Ruggeri, Francesco Simone

Communications Biology

2024 Volume 7

Abstract	Many proteins self-assemble to form amyloid fibrils, which are highly organized structures stabilized by a characteristic cross-β network of hydrogen bonds. This process underlies a variety of human diseases and can be exploited to develop versatile functional biomaterials. Thus, protein self-assembly has been widely studied to shed light on the properties of fibrils and their intermediates. A still open question in the field concerns the microscopic processes that underlie the long-time behaviour and properties of amyloid fibrillar assemblies. Here, we use atomic force microscopy with angstrom-sensitivity to observe that amyloid fibrils undergo a maturation process, associated with an increase in both fibril length and thickness, leading to a decrease of their density, and to a change in their cross-β sheet content. These changes affect the ability of the fibrils to catalyse the formation of new aggregates. The identification of these changes helps us understand the fibril maturation processes, facilitate the targeting of amyloid fibrils in drug discovery, and offer insight into the development of biocompatible and sustainable protein-based materials.
Keywords	Life Science
Language	English
Publishing country	nl
Document type	Article ; Online
ISSN	2399-3642
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Degradable click-reaction-based polymers as highly functional materials

Subramaniam, Muthusamy / Ruggeri, Francesco Simone / Zuilhof, Han

Matter

2022 Volume 5, Issue 8

Abstract: The efficient development of functional and sustainable polymers not only requires rapid formation under mild conditions but also a high degree of control over the polymer structure, as well as gentle degradation routes that do not diminish their ... ...

Abstract	The efficient development of functional and sustainable polymers not only requires rapid formation under mild conditions but also a high degree of control over the polymer structure, as well as gentle degradation routes that do not diminish their function. A significant step forward was set by the groups of Wu and Sharpless, as outlined in ACS Central Science, in which they use sulfur exchange click chemistry to access polymers via a chain-growth mechanism and pave the way toward mild degradation and application as degradable gels.
Keywords	Life Science
Language	English
Publishing country	nl
Document type	Article ; Online
ISSN	2590-2393
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Rapid Single Particle Atmospheric Solids Analysis Probe-Mass Spectrometry for Multimodal Analysis of Microplastics

Vitali, Clementina / Janssen, Hans Gerd / Ruggeri, Francesco Simone / Nielen, Michel W.F.

Analytical Chemistry

2023 Volume 95, Issue 2

Abstract	Despite mass spectrometry (MS) being proven powerful for the characterization of synthetic polymers, its potential for the analysis of single particle microplastics (MPs) is yet to be fully disclosed. To date, MPs are regarded as ubiquitous contaminants, but the limited availability of techniques that enable full characterizations of MPs results in a lack of systematic data regarding their occurrence. In this study, an atmospheric solid analysis probe (ASAP) coupled to a compact quadrupole MS is proposed for the chemical analysis of single particle microplastics, while maintaining full compatibility with complementary staining and image analysis approaches. A two-stage ASAP probe temperature program was optimized for the removal of additives and surface contaminants followed by the actual polymer characterization. The method showed specific mass spectra for a wide range of single particle MPs, including polyolefins, polyaromatics, polyacrylates, (bio)polyesters, polyamides, polycarbonates, and polyacrylonitriles. The single particle size detection limits for polystyrene MPs were found to be 30 and 5 μm in full scan and selected ion recording mode, respectively. Moreover, results are presented of a multimodal microplastic analysis approach in which filtered particles are first characterized by staining and fluorescence microscopy, followed by simple probe picking of individual particles for subsequent analysis by ASAP-MS. The method provides a full characterization of MP contamination, including particle number, particle size, particle shape, and chemical identity. The applicability of the developed multimodal method was successfully demonstrated by the analysis of MPs in bioplastic bottled water.
Keywords	Life Science
Subject code	620
Language	English
Publishing country	nl
Document type	Article ; Online
ZDB-ID	1508-8
ISSN	1520-6882 ; 0003-2700
ISSN (online)	1520-6882
ISSN	0003-2700
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: A Relationship between the Structures and Neurotoxic Effects of Aβ Oligomers Stabilized by Different Metal Ions.

Chia, Sean / Cataldi, Rodrigo Lessa / Ruggeri, Francesco Simone / Limbocker, Ryan / Condado-Morales, Itzel / Pisani, Katarina / Possenti, Andrea / Linse, Sara / Knowles, Tuomas P J / Habchi, Johnny / Mannini, Benedetta / Vendruscolo, Michele

ACS chemical neuroscience

2024 Volume 15, Issue 6, Page(s) 1125–1134

Abstract: Oligomeric assemblies of the amyloid β peptide (Aβ) have been investigated for over two decades as possible neurotoxic agents in Alzheimer's disease. However, due to their heterogeneous and transient nature, it is not yet fully established which of the ... ...

Abstract	Oligomeric assemblies of the amyloid β peptide (Aβ) have been investigated for over two decades as possible neurotoxic agents in Alzheimer's disease. However, due to their heterogeneous and transient nature, it is not yet fully established which of the structural features of these oligomers may generate cellular damage. Here, we study distinct oligomer species formed by Aβ40 (the 40-residue form of Aβ) in the presence of four different metal ions (Al
MeSH term(s)	Humans ; Amyloid beta-Peptides/chemistry ; Alzheimer Disease ; Metals ; Ions ; Peptide Fragments/chemistry
Chemical Substances	Amyloid beta-Peptides ; Metals ; Ions ; Peptide Fragments
Language	English
Publishing date	2024-02-28
Publishing country	United States
Document type	Journal Article
ISSN	1948-7193
ISSN (online)	1948-7193
DOI	10.1021/acschemneuro.3c00718
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Article ; Online: Quantitative image analysis of microplastics in bottled water using artificial intelligence.

Vitali, Clementina / Peters, Ruud J B / Janssen, Hans-Gerd / Undas, Anna K / Munniks, Sandra / Ruggeri, Francesco Simone / Nielen, Michel W F

Talanta

2023 Volume 266, Issue Pt 1, Page(s) 124965

Abstract: The ubiquitous occurrence of microplastics (MPs) in the environment and the use of plastics in packaging materials result in the presence of MPs in the food chain and exposure of consumers. Yet, no fully validated analytical method is available for ... ...

Abstract	The ubiquitous occurrence of microplastics (MPs) in the environment and the use of plastics in packaging materials result in the presence of MPs in the food chain and exposure of consumers. Yet, no fully validated analytical method is available for microplastic (MP) quantification, thereby preventing the reliable estimation of the level of exposure and, ultimately, the assessment of the food safety risks associated with MP contamination. In this study, a novel approach is presented that exploits interactive artificial intelligence tools to enable automation of MP analysis. An integrated method for the analysis of MPs in bottled water based on Nile Red staining and fluorescent microscopy was developed and validated, featuring a partial interrogation of the filter and a fully automated image processing workflow based on a Random Forest classifier, thereby boosting the analysis speed. The image analysis provided particle count, size and size distribution of the MPs. From these data, a rough estimation of the mass of the individual MPs, and consequently of the MP mass concentration in the sample, could be obtained as well. Critical materials, method performance characteristics, and final applicability were studied in detail. The method showed to be highly sensitive in sizing MPs down to 10 μm, with a particle count limit of detection and quantification of 28 and 85 items/500 mL, respectively. Linearity of mass concentration determined between 10 ppb and 1.5 ppm showed a regression coefficient (R
MeSH term(s)	Microplastics ; Drinking Water ; Artificial Intelligence ; Plastics ; Reproducibility of Results
Chemical Substances	Microplastics ; Drinking Water ; Plastics
Language	English
Publishing date	2023-07-20
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1500969-5
ISSN	1873-3573 ; 0039-9140
ISSN (online)	1873-3573
ISSN	0039-9140
DOI	10.1016/j.talanta.2023.124965
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Article ; Online: Interconnectable 3D-printed sample processing modules for portable mycotoxin screening of intact wheat.

Bosman, Anouk J / Freitag, Stephan / Ross, Georgina M S / Sulyok, Michael / Krska, Rudolf / Ruggeri, Francesco Simone / Salentijn, Gert Ij

Analytica chimica acta

2023 Volume 1285, Page(s) 342000

Abstract: Background: The increasing demand for food and feed products is stretching the capacity of the food value chain to its limits. A key step for ensuring food safety is checking for mycotoxin contamination of wheat. However, this analysis is typically ... ...

Abstract	Background: The increasing demand for food and feed products is stretching the capacity of the food value chain to its limits. A key step for ensuring food safety is checking for mycotoxin contamination of wheat. However, this analysis is typically performed by rather complex and expensive chromatographic methods, such as liquid chromatography-tandem mass spectrometry (LC-MS/MS). These costly methods require extensive sample preparation that is not easily carried out at different points along the food supply chain. To overcome such challenges in sample processing, an inexpensive and portable sample preparation device was needed, that required low skill, for rapid sample-to-result mycotoxin screening. Results: We describe 3D-printed and interconnectable modules for simple, integrated and on-site sample preparation, including grinding of wheat kernels, and solvent-based extraction. We characterized these 3D-printed modules for mycotoxin screening and benchmarked them against a laboratory mill using commercial lateral flow device(s) (LFD) and in-house validated LC-MS/MS analysis. Different integrated sieve configurations were compared based on grinding efficiency, and we selected a sieve size of 2 mm allowing grinding of 10 g of wheat within 5 min. Moreover, 10 first time-users were able to operate the grinder module with minimal instructions. Screening for deoxynivalenol (DON) in naturally contaminated samples at the regulatory/legal limit (1.25 mg kg Significance: Our findings demonstrate the potential of 3D-printed sample handling equipment as a valuable extension of existing analytical procedures, facilitating the on-site implementation of rapid methods for the determination of mycotoxins in grains. The presented prototype is inexpensive with material costs of 2.5€, relies on biodegradable 3D printing filament and can be produced with consumer-grade printers, making the prototype readily available. As a future perspective, the modular character of our developed tool kit will allow for adaptation to other hard food commodities beyond the determination of DON in wheat.
MeSH term(s)	Mycotoxins/analysis ; Chromatography, Liquid/methods ; Triticum/chemistry ; Tandem Mass Spectrometry/methods ; Food Contamination/analysis
Chemical Substances	Mycotoxins
Language	English
Publishing date	2023-11-08
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1483436-4
ISSN	1873-4324 ; 0003-2670
ISSN (online)	1873-4324
ISSN	0003-2670
DOI	10.1016/j.aca.2023.342000
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Article: Synthesis of well-defined linear-bottlebrush-linear triblock copolymer towards architecturally-tunable soft materials.

Asadi, Vahid / Li, Xuecong / Ruggeri, Francesco Simone / Zuilhof, Han / van der Gucht, Jasper / Kodger, Thomas E

Polymer chemistry

2022 Volume 13, Issue 32, Page(s) 4666–4674

Abstract: Linear-bottlebrush-linear (LBBL) triblock copolymers are emerging systems for topologically-tunable elastic materials. In this paper, a new synthetic methodology is presented to synthesize LBBL polystyrene- ...

Abstract	Linear-bottlebrush-linear (LBBL) triblock copolymers are emerging systems for topologically-tunable elastic materials. In this paper, a new synthetic methodology is presented to synthesize LBBL polystyrene-
Language	English
Publishing date	2022-07-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2528812-X
ISSN	1759-9962 ; 1759-9954
ISSN (online)	1759-9962
ISSN	1759-9954
DOI	10.1039/d2py00841f
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Article ; Online: Quantitative image analysis of microplastics in bottled water using artificial intelligence

Vitali, Clementina / Peters, Ruud J.B. / Janssen, Hans Gerd / Undas, Anna K. / Munniks, Sandra / Ruggeri, Francesco Simone / Nielen, Michel W.F.

Talanta

2024 Volume 266

Abstract	The ubiquitous occurrence of microplastics (MPs) in the environment and the use of plastics in packaging materials result in the presence of MPs in the food chain and exposure of consumers. Yet, no fully validated analytical method is available for microplastic (MP) quantification, thereby preventing the reliable estimation of the level of exposure and, ultimately, the assessment of the food safety risks associated with MP contamination. In this study, a novel approach is presented that exploits interactive artificial intelligence tools to enable automation of MP analysis. An integrated method for the analysis of MPs in bottled water based on Nile Red staining and fluorescent microscopy was developed and validated, featuring a partial interrogation of the filter and a fully automated image processing workflow based on a Random Forest classifier, thereby boosting the analysis speed. The image analysis provided particle count, size and size distribution of the MPs. From these data, a rough estimation of the mass of the individual MPs, and consequently of the MP mass concentration in the sample, could be obtained as well. Critical materials, method performance characteristics, and final applicability were studied in detail. The method showed to be highly sensitive in sizing MPs down to 10 μm, with a particle count limit of detection and quantification of 28 and 85 items/500 mL, respectively. Linearity of mass concentration determined between 10 ppb and 1.5 ppm showed a regression coefficient (R2) of 0.99. Method precision was demonstrated by a repeatability of 9–16% RSD (n = 7) and within-laboratory reproducibility of 15–27% RSD (n = 21). Accuracy based on recovery was 92 ± 15% and 98 ± 23% at a level of 0.1 and 1.0 ppm, respectively. The quantitative performance characteristics thus obtained complied with regulatory requirements. Finally, the method was successfully applied to the analysis of twenty commercial samples of bottled water, with and without gas and flavor additives, yielding results ranging from values ...
Keywords	Artificial intelligence ; Bottled water ; Fluorescence microscopy ; Method validation ; Microplastic ; Nile red
Subject code	621
Language	English
Publishing country	nl
Document type	Article ; Online
ZDB-ID	1500969-5
ISSN	1873-3573 ; 0039-9140
ISSN (online)	1873-3573
ISSN	0039-9140
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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