1
|
Mesas Gómez M, Julián E, Armengou L, Pividori MI. Evaluating smartphone-based optical readouts for immunoassays in human and veterinary healthcare: A comparative study. Talanta 2024; 275:126106. [PMID: 38648687 DOI: 10.1016/j.talanta.2024.126106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 04/08/2024] [Accepted: 04/12/2024] [Indexed: 04/25/2024]
Abstract
Recent advances have significantly enhanced the use of smartphone devices for medical diagnostics. This study uses high-resolution cameras in mobile devices to capture and process bioassay images, enabling the quantification of diverse biomarkers across a range of diagnostic tests conducted on 96-well microplates. The study evaluates the effectiveness of this technology through protein quantification techniques and immunoassays that generate colorimetric responses at specific wavelengths. It includes the assessment of bicinchoninic acid and Bradford protein quantification methods, alongside a conventional immunoassay for detecting mare antibodies in colostrum to monitor foal immunodeficiencies. Further application involves the readout of magneto-actuated immunoassays aimed at quantifying bacteria. The results obtained from benchtop spectrophotometry at 595, 562, and 450 nm are compared with those acquired using a smartphone, which identified color intensities in shades of blue, purple, and yellow. This comparison yields promising correlations for the samples tested, suggesting a high degree of accuracy in the smartphone capability to analyze bioassay outcomes. The analysis via smartphone is facilitated by a specific app, which processes the images captured by the phone camera to quantify color intensities corresponding to different biomarker concentrations. Detection limits of 12.3 and 22.8 μg mL-1 for the bicinchoninic acid assay and 36.7 and 45.4 μg mL-1 for the Bradford are obtained for protein quantification using the spectrophotometer and the smartphone app, respectively. For mare's antibodies in colostrum, the values are 1.14 and 1.72 ng mL-1, while the detection of E. coli is performed at 2.0 x 104 and 2.9 × 104 CFU mL-1, respectively. This approach offers further advantages, including wide availability, cost-effectiveness, portability, compared to traditional and expensive benchtop instruments.
Collapse
Affiliation(s)
- Melania Mesas Gómez
- Grup de Sensors i Biosensors, Departament de Química, Universitat Autònoma de Barcelona, Bellaterra, Spain; Biosensing and Bioanalysis Group, Institute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Esther Julián
- Departament de Genètica i de Microbiologia, Facultat de Biociències, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Lara Armengou
- Fundació Hospital Clínic Veterinari, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Maria Isabel Pividori
- Grup de Sensors i Biosensors, Departament de Química, Universitat Autònoma de Barcelona, Bellaterra, Spain; Biosensing and Bioanalysis Group, Institute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, Bellaterra, Spain.
| |
Collapse
|
2
|
Vakh C, Mallabaeva Z, Tobiszewski M. Smartphone-based digital image colorimetry for the determination of total capsaicinoid content in chili pepper extracts. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 315:124238. [PMID: 38593543 DOI: 10.1016/j.saa.2024.124238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 03/23/2024] [Accepted: 04/01/2024] [Indexed: 04/11/2024]
Abstract
A simple smartphone-based digital image colorimetry was proposed for the determination of total capsaicinoid content and the assessment of chili pepper pungency. The biobased solvent D-limonene was used for the first time to isolate analytes. Capsaicinoids were efficiently separated from chili pepper by solid-liquid extraction with D-limonene followed by partitioning of the analytes into the ammonium hydroxide solution to eliminate the matrix interference effect. For colorimetric detection of total capsaicinoid content, a selective chromogenic reaction was performed using Gibbs reagent (2,6-dichloroquinone-4-chloroimide). Measurements were performed using a smartphone-based setup and included image analysis with the program ImageJ. The limit of detection of the proposed procedure was 0.15 mg g-1. The intra-day repeatability did not exceed 10.0 %. The inter-day repeatability was less than 16.5 %. The comparison of the smartphone-based procedure with high-performance liquid chromatography showed satisfactory results.
Collapse
Affiliation(s)
- Christina Vakh
- Department of Analytical Chemistry, Faculty of Chemistry and EcoTech Center, Gdańsk University of Technology (GUT), ul. G. Narutowicza 11/12, 80-233 Gdańsk, Poland.
| | - Zarina Mallabaeva
- Department of Analytical Chemistry, Faculty of Chemistry and EcoTech Center, Gdańsk University of Technology (GUT), ul. G. Narutowicza 11/12, 80-233 Gdańsk, Poland.
| | - Marek Tobiszewski
- Department of Analytical Chemistry, Faculty of Chemistry and EcoTech Center, Gdańsk University of Technology (GUT), ul. G. Narutowicza 11/12, 80-233 Gdańsk, Poland.
| |
Collapse
|
3
|
Kalinowska K, Saad Hussain M, Herman Tinnevelt G, Tobiszewski M. Simple smartphone-based methods for the determination of bioactive compounds in wine. Food Chem 2024; 444:138475. [PMID: 38336498 DOI: 10.1016/j.foodchem.2024.138475] [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: 08/18/2023] [Revised: 01/02/2024] [Accepted: 01/15/2024] [Indexed: 02/12/2024]
Abstract
A set of simple smartphone-based methods of bioactive compounds determination were developed for wine analysis. Procedures for smartphone-based determination of the total content of phenolic compounds, flavonoids, anthocyanins and biogenic amines, as well as measurement of antioxidant activity were developed and fully validated. The experimental setup is based on smartphone and 3D-printed device, though it is very simple and can be conveniently applied in lab and in field. The proposed solutions have satisfactory figures of merit with R2 in the range of 0.9860-0.9981 for linear range. The recoveries were in range 98.6-102%, RSDs up to 4.2% and LODs below 2.3 mg/L. In order to demonstrate the applicability of the proposed procedures, wine samples were analysed using spectrophotometry and newly developed methods. The results of application of smartphone and spectrophotometer are comparable, in terms of validation parameters and measured concentrations in real samples.
Collapse
Affiliation(s)
- Kaja Kalinowska
- Gdańsk University of Technology, Faculty of Chemistry, Department of Analytical Chemistry, 11/12 Gabriela Narutowicza Street, 80-233 Gdańsk, Poland.
| | - Muhammad Saad Hussain
- Gdańsk University of Technology, Faculty of Chemistry, Department of Analytical Chemistry, 11/12 Gabriela Narutowicza Street, 80-233 Gdańsk, Poland; Radboud University, Institute for Molecules and Materials, (Analytical Chemistry), P.O. Box 9010, 6500 GL Nijmegen, the Netherlands
| | - Gerjen Herman Tinnevelt
- Radboud University, Institute for Molecules and Materials, (Analytical Chemistry), P.O. Box 9010, 6500 GL Nijmegen, the Netherlands.
| | - Marek Tobiszewski
- Gdańsk University of Technology, Faculty of Chemistry, Department of Analytical Chemistry, 11/12 Gabriela Narutowicza Street, 80-233 Gdańsk, Poland.
| |
Collapse
|
4
|
Vucane S, Cinkmanis I, Juhnevica-Radenkova K, Sabovics M. Revolutionizing Phenolic Content Determination in Vegetable Oils: A Cutting-Edge Approach Using Smartphone-Based Image Analysis. Foods 2024; 13:1700. [PMID: 38890928 PMCID: PMC11172301 DOI: 10.3390/foods13111700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 05/27/2024] [Accepted: 05/28/2024] [Indexed: 06/20/2024] Open
Abstract
This study addressed the need for a more accessible and efficient method of analyzing phenolic content in vegetable oils. The research aimed to develop a method that could be widely adopted by both researchers and industry professionals, ultimately revolutionizing the way phenolic content in vegetable oils is analyzed. This study developed a method of determining the total phenolic content (TPC) in vegetable oils using smartphone image analysis in the RGB color model. The method employed a gallic acid calibration solution and demonstrated exceptional determination coefficients for the RGB colors. The R-red color was selected as the basis for the analyses, and the method was statistically equivalent to standard UV/Vis spectrophotometry. The highest TPC was determined in hemp and olive oils, while the lowest was found in rice bran, grapeseed, and macadamia nut oils. This study concluded that smartphone image analysis, mainly using the R component of the RGB color model, was a superior alternative to traditional spectrophotometric methods for determining the TPC in vegetable oils. This innovative approach could revolutionize phenolic content analysis by providing researchers and industry professionals with a cost-effective, safe, and efficient tool. The estimated limit of detection (LOD) of 1.254 mg L-1 and limit of quantification (LOQ) of 3.801 mg L-1 further confirmed the reliability and comparability of the method. With these findings, it was expected that the method would be widely adopted in the future.
Collapse
Affiliation(s)
- Sanita Vucane
- Food Institute, Faculty of Agriculture and Food Technology, Latvia University of Life Sciences and Technologies, LV-3004 Jelgava, Latvia; (I.C.); (M.S.)
| | - Ingmars Cinkmanis
- Food Institute, Faculty of Agriculture and Food Technology, Latvia University of Life Sciences and Technologies, LV-3004 Jelgava, Latvia; (I.C.); (M.S.)
| | | | - Martins Sabovics
- Food Institute, Faculty of Agriculture and Food Technology, Latvia University of Life Sciences and Technologies, LV-3004 Jelgava, Latvia; (I.C.); (M.S.)
| |
Collapse
|
5
|
Villarino N, Lavilla I, Pena-Pereira F, Bendicho C. Droplet-based luminescent sensor supported onto hydrophobic cellulose substrate for assessing fish freshness following smartphone readout. Food Chem 2023; 424:136475. [PMID: 37269633 DOI: 10.1016/j.foodchem.2023.136475] [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: 01/05/2023] [Revised: 05/16/2023] [Accepted: 05/26/2023] [Indexed: 06/05/2023]
Abstract
In this work, two sensitive droplet-based luminescent assays with smartphone readout for the determination of trimethylamine nitrogen (TMA-N) and total volatile basic nitrogen (TVB-N) are reported. Both assays exploit the luminescence quenching of copper nanoclusters (CuNCs) produced when exposed to volatile nitrogen bases. In addition, hydrophobic-based cellulose substrates demonstrated their suitability as holders for both in-drop volatile enrichment and subsequent smartphone-based digitization of the enriched colloidal solution of CuNCs. Under optimal conditions, enrichment factors of 181 and 153 were obtained with the reported assays for TMA-N and TVB-N, respectively, leading to methodological LODs of 0.11 mg/100 g and 0.27 mg/100 g for TMA-N and TVB-N, respectively. The repeatability, expressed as RSD, was 5.2% and 5.6% for TMA-N and TVB-N, respectively (N = 8). The reported luminescent assays were successfully applied to the analysis of fish samples, showing statistically comparable results to those obtained with the reference methods of analysis.
Collapse
Affiliation(s)
- Nerea Villarino
- Centro de Investigación Mariña, Universidade de Vigo, Departamento de Química Analítica e alimentaria, Grupo QA2, Edificio CC Experimentais, Campus de Vigo, As Lagoas, Marcosende, 36310 Vigo, Spain
| | - Isela Lavilla
- Centro de Investigación Mariña, Universidade de Vigo, Departamento de Química Analítica e alimentaria, Grupo QA2, Edificio CC Experimentais, Campus de Vigo, As Lagoas, Marcosende, 36310 Vigo, Spain
| | - Francisco Pena-Pereira
- Centro de Investigación Mariña, Universidade de Vigo, Departamento de Química Analítica e alimentaria, Grupo QA2, Edificio CC Experimentais, Campus de Vigo, As Lagoas, Marcosende, 36310 Vigo, Spain.
| | - Carlos Bendicho
- Centro de Investigación Mariña, Universidade de Vigo, Departamento de Química Analítica e alimentaria, Grupo QA2, Edificio CC Experimentais, Campus de Vigo, As Lagoas, Marcosende, 36310 Vigo, Spain.
| |
Collapse
|
6
|
Kalinowska K, Wojnowski W, Tobiszewski M. Simple analytical method for total biogenic amines content determination in wine using a smartphone. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:1395-1401. [PMID: 36866655 DOI: 10.1039/d2ay02035a] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
A simple, fast, and green smartphone-based procedure for total biogenic amines content determination in wine was developed and validated. Sample preparation and analysis were simplified to make the method suitable for routine analyses even in resource-scarce settings. The commercially available S0378 dye and smartphone-based detection were used for this purpose. The developed method has satisfactory figures of merit for putrescine equivalent determination with R2 of 0.9981. The method's greenness was also assessed using the Analytical Greenness Calculator. Samples of Polish wine were analysed to demonstrate the applicability of the developed method. Finally, results obtained with the developed procedure were compared with those previously obtained with GC-MS in order to evaluate the equivalence of the methods.
Collapse
Affiliation(s)
- Kaja Kalinowska
- Gdańsk University of Technology, Faculty of Chemistry, Department of Analytical Chemistry, 11/12 Gabriela Narutowicza Street, 80-233 Gdańsk, Poland.
| | - Wojciech Wojnowski
- Gdańsk University of Technology, Faculty of Chemistry, Department of Analytical Chemistry, 11/12 Gabriela Narutowicza Street, 80-233 Gdańsk, Poland.
- University of Oslo, Department of Chemistry, P.O. Box 1033-Blindern, 0315 Oslo, Norway
| | - Marek Tobiszewski
- Gdańsk University of Technology, Faculty of Chemistry, Department of Analytical Chemistry, 11/12 Gabriela Narutowicza Street, 80-233 Gdańsk, Poland.
| |
Collapse
|
7
|
Lin Y, Ma J, Sun DW, Cheng JH, Wang Q. A pH-Responsive colourimetric sensor array based on machine learning for real-time monitoring of beef freshness. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
|
8
|
Analytical applications of smartphones for agricultural soil analysis. Anal Bioanal Chem 2023:10.1007/s00216-023-04558-1. [PMID: 36790460 PMCID: PMC10328891 DOI: 10.1007/s00216-023-04558-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/13/2023] [Accepted: 01/19/2023] [Indexed: 02/16/2023]
Abstract
Soil is one of the most important farming resources. Appropriate managing of its quality promotes productive and sustainable agriculture. The valuable farm practice in soil quality managing is based on regular soil analysis with the aim of determining the exact amount of nutrients or other chemical, physical, and biological soil properties. Soil analysis usually requires sample collection at the desired sampling depth followed by sample delivery to chemical laboratories. However, laboratory analyses are resource-intensive and costly, and require a lot of time, effort, and equipment. A low-cost, fast, and effective alternative for soil quality control is the application of smartphones to perform chemical analyses directly in the field or on the farm. In this paper, an overview of recent developments on smartphone-based methodologies for agricultural purposes and portable evaluation of soil quality and its properties is presented. The discussion focuses on recent applications of smartphone-based devices for the determination of basic soil parameters, content of organic matter, mineral fertilizers, and organic or inorganic pollutants. Obvious advantages of using smartphones, such as convenience and simplicity of use, and the main shortcomings, such as relatively poor precision of the results obtained, are also discussed. The general trend shows the huge interest from researchers to move the technology into the field with the aim of providing cost-effective and rapid soil analysis. This paper can broaden the understanding of using smartphones for chemical analysis of soil samples, as it is a relatively new area and is expected to be developed rapidly.
Collapse
|
9
|
Geballa-Koukoula A, Ross G, Bosman A, Zhao Y, Zhou H, Nielen M, Rafferty K, Elliott C, Salentijn G. Best practices and current implementation of emerging smartphone-based (bio)sensors - Part 2: Development, validation, and social impact. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
|
10
|
Mattarozzi M, Laski E, Bertucci A, Giannetto M, Bianchi F, Zoani C, Careri M. Metrological traceability in process analytical technologies and point-of-need technologies for food safety and quality control: not a straightforward issue. Anal Bioanal Chem 2023; 415:119-135. [PMID: 36367573 PMCID: PMC9816273 DOI: 10.1007/s00216-022-04398-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/12/2022] [Accepted: 10/21/2022] [Indexed: 11/13/2022]
Abstract
Traditional techniques for food analysis are based on off-line laboratory methods that are expensive and time-consuming and often require qualified personnel. Despite the high standards of accuracy and metrological traceability, these well-established methods do not facilitate real-time process monitoring and timely on-site decision-making as required for food safety and quality control. The future of food testing includes rapid, cost-effective, portable, and simple methods for both qualitative screening and quantification of food contaminants, as well as continuous, real-time measurement in production lines. Process automatization through process analytical technologies (PAT) is an increasing trend in the food industry as a way to achieve improved product quality, safety, and consistency, reduced production cycle times, minimal product waste or reworks, and the possibility for real-time product release. Novel methods of analysis for point-of-need (PON) screening could greatly improve food testing by allowing non-experts, such as consumers, to test in situ food products using portable instruments, smartphones, or even visual naked-eye inspections, or farmers and small producers to monitor products in the field. This requires the attention of the research community and devices manufacturers to ensure reliability of measurement results from PAT strategy and PON tests through the demonstration and critical evaluation of performance characteristics. The fitness for purpose of methods in real-life conditions is a priority that should not be overlooked in order to maintain an effective and harmonized food safety policy.
Collapse
Affiliation(s)
- Monica Mattarozzi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Eleni Laski
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
| | - Alessandro Bertucci
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
| | - Marco Giannetto
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Federica Bianchi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre CIPACK, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Claudia Zoani
- Department for Sustainability, Biotechnology and Agroindustry Division (SSPT-BIOAG), Casaccia Research Centre, Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123, Rome, Italy
| | - Maria Careri
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy.
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy.
| |
Collapse
|
11
|
Hassoun A, Anusha Siddiqui S, Smaoui S, Ucak İ, Arshad RN, Bhat ZF, Bhat HF, Carpena M, Prieto MA, Aït-Kaddour A, Pereira JA, Zacometti C, Tata A, Ibrahim SA, Ozogul F, Camara JS. Emerging Technological Advances in Improving the Safety of Muscle Foods: Framing in the Context of the Food Revolution 4.0. FOOD REVIEWS INTERNATIONAL 2022. [DOI: 10.1080/87559129.2022.2149776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Abdo Hassoun
- Univ. Littoral Côte d’Opale, UMRt 1158 BioEcoAgro, USC ANSES, INRAe, Univ. Artois, Univ. Lille, Univ. Picardie Jules Verne, Univ. Liège, Junia, Boulogne-sur-Mer, France
- Sustainable AgriFoodtech Innovation & Research (SAFIR), Arras, France
| | - Shahida Anusha Siddiqui
- Department of Biotechnology and Sustainability, Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Straubing, Germany
- German Institute of Food Technologies (DIL e.V.), Quakenbrück, Germany
| | - Slim Smaoui
- Laboratory of Microbial, Enzymatic Biotechnology and Biomolecules (LBMEB), Center of Biotechnology of Sfax, University of Sfax-Tunisia, Sfax, Tunisia
| | - İ̇lknur Ucak
- Faculty of Agricultural Sciences and Technologies, Nigde Omer Halisdemir University, Nigde, Turkey
| | - Rai Naveed Arshad
- Institute of High Voltage & High Current, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
| | - Zuhaib F. Bhat
- Division of Livestock Products Technology, SKUASTof Jammu, Jammu, Kashmir, India
| | - Hina F. Bhat
- Division of Animal Biotechnology, SKUASTof Kashmir, Kashmir, India
| | - María Carpena
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department. Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
| | - Miguel A. Prieto
- Nutrition and Bromatology Group, Analytical and Food Chemistry Department. Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolonia, Bragança, Portugal
| | | | - Jorge A.M. Pereira
- CQM—Centro de Química da Madeira, Universidade da Madeira, Funchal, Portugal
| | - Carmela Zacometti
- Istituto Zooprofilattico Sperimentale Delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Alessandra Tata
- Istituto Zooprofilattico Sperimentale Delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Salam A. Ibrahim
- Food and Nutritional Sciences Program, North Carolina A&T State University, Greensboro, North Carolina, USA
| | - Fatih Ozogul
- Department of Seafood Processing Technology, Faculty of Fisheries, Cukurova University, Adana, Turkey
| | - José S. Camara
- CQM—Centro de Química da Madeira, Universidade da Madeira, Funchal, Portugal
- Departamento de Química, Faculdade de Ciências Exatas e Engenharia, Campus da Penteada, Universidade da Madeira, Funchal, Portugal
| |
Collapse
|
12
|
Smartphone-based digital image colorimetry for the determination of vancomycin in drugs. MONATSHEFTE FUR CHEMIE 2022. [DOI: 10.1007/s00706-022-02964-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
AbstractA simple smartphone-based digital image colorimetry is proposed for the determination of vancomycin in drugs. The analytical method relied on the reaction of vancomycin with copper(II) in ethanol–water medium with pH 4.3. The reaction resulted in the formation of a blue–grey complex, presenting an absorption maximum at 555 nm. A mobile application was used for smartphone-based analysis to decompose the individual channels of the colour model representations. The determination was performed using three smartphones followed by a comparison of the outcomes with spectrophotometric measurements. The most optimal analytical parameters were achieved for the H channel. The linear ranges obtained for the smartphone-based method proved to be comparable to the spectrophotometric range of 0.044–1.500 g dm−3 and were 0.049–1.500 g dm−3, 0.057–1.500 g dm−3, and 0.040–1.500 g dm−3 for Smartphones 1–3, respectively. Moreover, the determined coefficients of variance (CV, n = 9) and limits of detection (LOD) were 2.3% and 0.015 g dm−3, 6.2% and 0.017 g dm−3, and 2.5% and 0.012 g dm−3, respectively. Whereas for spectrophotometry, the obtained precision, CV was of 0.9% and a LOD of 0.013 g dm−3. The accuracy of the method was verified using model samples, generally the results were obtained with accuracy better than 10.9% (relative error). The method was applied to the determination of vancomycin in drugs. The results obtained by smartphone-based colorimetry did not differ from the expected values for more than 2.6%, were consistent with each other and with the results of spectrophotometric determinations.
Graphical abstract
Collapse
|
13
|
Tian JH, Hu XY, Hu ZY, Tian HW, Li JJ, Pan YC, Li HB, Guo DS. A facile way to construct sensor array library via supramolecular chemistry for discriminating complex systems. Nat Commun 2022; 13:4293. [PMID: 35879312 PMCID: PMC9314354 DOI: 10.1038/s41467-022-31986-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 07/13/2022] [Indexed: 12/15/2022] Open
Abstract
Differential sensing, which discriminates analytes via pattern recognition by sensor arrays, plays an important role in our understanding of many chemical and biological systems. However, it remains challenging to develop new methods to build a sensor unit library without incurring a high workload of synthesis. Herein, we propose a supramolecular approach to construct a sensor unit library by taking full advantage of recognition and assembly. Ten sensor arrays are developed by replacing the building block combinations, adjusting the ratio between system components, and changing the environment. Using proteins as model analytes, we examine the discriminative abilities of these supramolecular sensor arrays. Then the practical applicability for discriminating complex analytes is further demonstrated using honey as an example. This sensor array construction strategy is simple, tunable, and capable of developing many sensor units with as few syntheses as possible.
Collapse
Affiliation(s)
- Jia-Hong Tian
- College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin, 300071, China
| | - Xin-Yue Hu
- College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin, 300071, China
| | - Zong-Ying Hu
- College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin, 300071, China
| | - Han-Wen Tian
- College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin, 300071, China
| | - Juan-Juan Li
- College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin, 300071, China
| | - Yu-Chen Pan
- College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin, 300071, China
| | - Hua-Bin Li
- College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin, 300071, China
| | - Dong-Sheng Guo
- College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin, 300071, China.
| |
Collapse
|
14
|
Yang T, Luo Z, Bewal T, Li L, Xu Y, Mahdi Jafari S, Lin X. When smartphone enters food safety: A review in on-site analysis for foodborne pathogens using smartphone-assisted biosensors. Food Chem 2022; 394:133534. [PMID: 35752124 DOI: 10.1016/j.foodchem.2022.133534] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/23/2022] [Accepted: 06/18/2022] [Indexed: 11/16/2022]
Abstract
Pathogens are one of the supreme threats for the public health around the world in food supply chain. The on-site monitoring is an emerging trend for screening pathogens during the food processing and preserving. Traditional analytical tools have been unable to satisfy the current demands. Smartphones have enormous potentials for achieving on-site detection of foodborne pathogens, with intrinsic advantages such as small size, high accessibility, fast processing speed, and powerful imaging capacity. This review aims to synthesize the current advances in smartphone-assisted biosensors (SABs) for sensing foodborne pathogens, and briefly put forward the problem that consist in the research. We present the role of nanotechnology and recognition modes targeting foodborne pathogens in SABs, and discuss the signal conversion platforms coupling with smartphone. The challenges and perspectives in SABs are also proposed. The smartphone analytics area is moving forward, and it much be subject to careful quality standards and validation.
Collapse
Affiliation(s)
- Tao Yang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China; Ningbo Research Institute, Zhejiang University, Ningbo, China
| | - Tarun Bewal
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Li Li
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Yanqun Xu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China; Ningbo Research Institute, Zhejiang University, Ningbo, China
| | - Seid Mahdi Jafari
- Department of Food Materials and Process Design Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
| | - Xingyu Lin
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China; Ningbo Research Institute, Zhejiang University, Ningbo, China.
| |
Collapse
|
15
|
Shen Y, Wei Y, Zhu C, Cao J, Han DM. Ratiometric fluorescent signals-driven smartphone-based portable sensors for onsite visual detection of food contaminants. Coord Chem Rev 2022. [DOI: 10.1016/j.ccr.2022.214442] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
|
16
|
Intelligent biosensing strategies for rapid detection in food safety: A review. Biosens Bioelectron 2022; 202:114003. [DOI: 10.1016/j.bios.2022.114003] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/15/2021] [Accepted: 01/13/2022] [Indexed: 12/26/2022]
|
17
|
Ponlakhet K, Phooplub K, Phongsanam N, Phongsraphang T, Phetduang S, Surawanitkun C, Buranachai C, Loilome W, Ngeontae W. Smartphone-based portable fluorescence sensor with gold nanoparticle mediation for selective detection of nitrite ions. Food Chem 2022; 384:132478. [PMID: 35219228 DOI: 10.1016/j.foodchem.2022.132478] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 01/20/2022] [Accepted: 02/13/2022] [Indexed: 11/28/2022]
Abstract
A simple, portable device for the detection of NO2- via a fluorescence method was developed. The proposed device consisted of a dark box containing a blue LED as a low-power excitation light source and a smartphone with a mobile application for RGB analysis as a light detector. Detection was mediated by using synthesized cetyltrimethylammonium bromide-stabilized gold nanoparticles (CTAB-AuNPs). The CTAB-AuNPs were etched with NO2- to yield Au3+, which catalyzes the oxidation of o-phenylenediamine (OPD) in the presence of H2O2 to generate 2,3-diaminophenazine (DAP). Triton X-100 (TX-100) micelles were introduced to improve the DAP fluorescence emission. The fluorescence intensity of DAP was recorded by the smartphone in terms of RGB intensity, which was correlated with the NO2- concentration. This method provided a wide linear working concentration range (0.5-100 μM), a limit of detection of 0.17 μM and excellent selectivity for NO2- over other anions.
Collapse
Affiliation(s)
- Kitayanan Ponlakhet
- Department of Chemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Kittirat Phooplub
- Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand; Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand; Thailand Center of Excellence in Physics, Commission on Higher Education, 328 Si Ayutthaya Road, Bangkok 10400, Thailand
| | - Nopphakon Phongsanam
- Department of Chemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Thirakan Phongsraphang
- Department of Chemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Samuch Phetduang
- Department of Chemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Chayada Surawanitkun
- Faculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai Campus, Nong Khai 43000, Thailand
| | - Chittanon Buranachai
- Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand; Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand; Thailand Center of Excellence in Physics, Commission on Higher Education, 328 Si Ayutthaya Road, Bangkok 10400, Thailand
| | - Watcharin Loilome
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand; Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Wittaya Ngeontae
- Department of Chemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand; Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand; Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen 40002, Thailand; Research Center for Environmental and Hazardous Substance Management, Khon Kaen University, Khon Kaen 40002, Thailand.
| |
Collapse
|
18
|
Deng T, Crookes D, Woods R, Siddiqui F. A Soft Coprocessor Approach for Developing Image and Video Processing Applications on FPGAs. J Imaging 2022; 8:jimaging8020042. [PMID: 35200744 PMCID: PMC8880448 DOI: 10.3390/jimaging8020042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/04/2022] [Accepted: 02/08/2022] [Indexed: 12/10/2022] Open
Abstract
Developing Field Programmable Gate Array (FPGA)-based applications is typically a slow and multi-skilled task. Research in tools to support application development has gradually reached a higher level. This paper describes an approach which aims to further raise the level at which an application developer works in developing FPGA-based implementations of image and video processing applications. The starting concept is a system of streamed soft coprocessors. We present a set of soft coprocessors which implement some of the key abstractions of Image Algebra. Our soft coprocessors are designed for easy chaining, and allow users to describe their application as a dataflow graph. A prototype implementation of a development environment, called SCoPeS, is presented. An application can be modified even during execution without requiring re-synthesis. The paper concludes with performance and resource utilization results for different implementations of a sample algorithm. We conclude that the soft coprocessor approach has the potential to deliver better performance than the soft processor approach, and can improve programmability over dedicated HDL cores for domain-specific applications while achieving competitive real time performance and utilization.
Collapse
Affiliation(s)
- Tiantai Deng
- Department of Electronics and Electrical Engineering, The University of Sheffield, Sheffield S1 3JD, UK;
| | - Danny Crookes
- School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast BT7 1NN, UK; (R.W.); (F.S.)
- Correspondence:
| | - Roger Woods
- School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast BT7 1NN, UK; (R.W.); (F.S.)
| | - Fahad Siddiqui
- School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast BT7 1NN, UK; (R.W.); (F.S.)
| |
Collapse
|
19
|
Hassoun A, Aït-Kaddour A, Abu-Mahfouz AM, Rathod NB, Bader F, Barba FJ, Biancolillo A, Cropotova J, Galanakis CM, Jambrak AR, Lorenzo JM, Måge I, Ozogul F, Regenstein J. The fourth industrial revolution in the food industry-Part I: Industry 4.0 technologies. Crit Rev Food Sci Nutr 2022; 63:6547-6563. [PMID: 35114860 DOI: 10.1080/10408398.2022.2034735] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Climate change, the growth in world population, high levels of food waste and food loss, and the risk of new disease or pandemic outbreaks are examples of the many challenges that threaten future food sustainability and the security of the planet and urgently need to be addressed. The fourth industrial revolution, or Industry 4.0, has been gaining momentum since 2015, being a significant driver for sustainable development and a successful catalyst to tackle critical global challenges. This review paper summarizes the most relevant food Industry 4.0 technologies including, among others, digital technologies (e.g., artificial intelligence, big data analytics, Internet of Things, and blockchain) and other technological advances (e.g., smart sensors, robotics, digital twins, and cyber-physical systems). Moreover, insights into the new food trends (such as 3D printed foods) that have emerged as a result of the Industry 4.0 technological revolution will also be discussed in Part II of this work. The Industry 4.0 technologies have significantly modified the food industry and led to substantial consequences for the environment, economics, and human health. Despite the importance of each of the technologies mentioned above, ground-breaking sustainable solutions could only emerge by combining many technologies simultaneously. The Food Industry 4.0 era has been characterized by new challenges, opportunities, and trends that have reshaped current strategies and prospects for food production and consumption patterns, paving the way for the move toward Industry 5.0.
Collapse
Affiliation(s)
- Abdo Hassoun
- Sustainable AgriFoodtech Innovation & Research (SAFIR), Arras, France
- Syrian Academic Expertise (SAE), Gaziantep, Turkey
| | | | - Adnan M Abu-Mahfouz
- Council for Scientific and Industrial Research, Pretoria, South Africa
- Department of Electrical & Electronic Engineering Science, University of Johannesburg, Johannesburg, South Africa
| | - Nikheel Bhojraj Rathod
- Department of Post-Harvest Management of Meat, Poultry and Fish, Post-Graduate Institute of Post-Harvest Management, Raigad, Maharashtra, India
| | - Farah Bader
- Saudi Goody Products Marketing Company Ltd, Jeddah, Saudi Arabia
| | - Francisco J Barba
- Nutrition and Bromatology Area, Department of Preventive Medicine and Public Health, Food Science, Toxicology and Forensic Medicine, Faculty of Pharmacy, University of Valencia, València, Spain
| | - Alessandra Biancolillo
- Department of Physical and Chemical Sciences, University of L'Aquila, Coppito, L'Aquila, Italy
| | - Janna Cropotova
- Department of Biological Sciences in Ålesund, Norwegian University of Science and Technology, Ålesund, Norway
| | - Charis M Galanakis
- Research & Innovation Department, Galanakis Laboratories, Chania, Greece
- Food Waste Recovery Group, ISEKI Food Association, Vienna, Austria
| | - Anet Režek Jambrak
- Faculty of Food Technology and Biotechnology, University of Zagreb, Zagreb, Croatia
| | - José M Lorenzo
- Centro Tecnológico de la Carne de Galicia, Ourense, Spain
- Área de Tecnología de los Alimentos, Facultad de Ciencias de Ourense, Universidad de Vigo, Ourense, Spain
| | - Ingrid Måge
- Fisheries and Aquaculture Research, Nofima - Norwegian Institute of Food, Ås, Norway
| | - Fatih Ozogul
- Department of Seafood Processing Technology, Faculty of Fisheries, Cukurova University, Adana, Turkey
| | - Joe Regenstein
- Department of Food Science, Cornell University, Ithaca, New York, USA
| |
Collapse
|
20
|
Doménech-Carbó MT, Doménech-Carbó A. Spot tests: past and present. CHEMTEXTS 2022; 8:4. [PMID: 34976574 PMCID: PMC8710564 DOI: 10.1007/s40828-021-00152-z] [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: 06/15/2021] [Accepted: 10/11/2021] [Indexed: 11/21/2022]
Abstract
Microchemistry, i.e., the chemistry performed at the scale of a microgram or less, has its roots in the late eighteenth and early nineteenth centuries. In the first half of the twentieth century a wide range of spot tests have been developed. For didactic reasons, they are still part of the curriculum of chemistry students. However, they are even highly important for applied analyses in conservation of cultural heritage, food science, forensic science, clinical and pharmacological sciences, geochemistry, and environmental sciences. Modern pregnancy tests, virus tests, etc. are the most recent examples of sophisticated spot tests. The present ChemTexts contribution aims to provide an overview of the past and present of this analytical methodology.
Collapse
Affiliation(s)
- María Teresa Doménech-Carbó
- Institut de Restauració del Patrimoni, Universitat Politècnica de València, Camí de Vera 14, 46022 Valencia, Spain
| | - Antonio Doménech-Carbó
- Departament de Química Analítica, Universitat de València. Dr. Moliner, 50, Burjassot, 46100 Valencia, Spain
| |
Collapse
|
21
|
He H, Nie R, Lu P, Peng X, Li X, Chen Y. Low-Cost and Convenient Microchannel Resistance Biosensing Platform by Directly Translating Biorecognition into a Current Signal. Anal Chem 2021; 93:15049-15057. [PMID: 34726904 DOI: 10.1021/acs.analchem.1c03006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
We report a low-cost and convenient microchannel resistance (MCR) biosensing platform that uses current signal to report biorecognition. The biorecognition behavior between targets and biometric molecules (antigens, antibodies, or oligonucleotides) immobilized on magnetic beads and polystyrene (PS) microspheres induces a quantitative change in the unreacted PS microspheres. After magnetic separation, the unreacted PS microsphere solution is passed through the microchannel, leading to an obvious blocking effect, resulting in an increase in resistance, which can in turn be measured by monitoring the electric current. Thus, the biorecognition is directly converted into a detectable current signal without any bulky instruments or additional chemical reactions. The MCR biosensing platform is cost-effective and user-friendly with high accuracy. It can be an appropriate analysis technique for point-of-care testing in resource-poor settings.
Collapse
Affiliation(s)
- Huiyu He
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.,Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China
| | - Rongbin Nie
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.,Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China
| | - Peng Lu
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Xuewen Peng
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiaohan Li
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Yiping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.,Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China.,Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| |
Collapse
|
22
|
Tonelli A, Mangia V, Candiani A, Pasquali F, Mangiaracina TJ, Grazioli A, Sozzi M, Gorni D, Bussolati S, Cucinotta A, Basini G, Selleri S. Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications. SENSORS 2021; 21:s21103552. [PMID: 34065190 PMCID: PMC8160707 DOI: 10.3390/s21103552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/10/2021] [Accepted: 05/16/2021] [Indexed: 12/12/2022]
Abstract
Single-board computers (SBCs) and microcontroller boards (MCBs) are extensively used nowadays as prototyping platforms to accomplish innovative tasks. Very recently, implementations of these devices for diagnostics applications are rapidly gaining ground for research and educational purposes. Among the available solutions, Raspberry Pi represents one of the most used SBCs. In the present work, two setups based on Raspberry Pi and its CMOS-based camera (a 3D-printed device and an adaptation of a commercial product named We-Lab) were investigated as diagnostic instruments. Different camera elaboration processes were investigated, showing how direct access to the 10-bit raw data acquired from the sensor before downstream imaging processes could be beneficial for photometric applications. The developed solution was successfully applied to the evaluation of the oxidative stress using two commercial kits (d-ROM Fast; PAT). We suggest the analysis of raw data applied to SBC and MCB platforms in order to improve results.
Collapse
Affiliation(s)
- Alessandro Tonelli
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Veronica Mangia
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Alessandro Candiani
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Francesco Pasquali
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Tiziana Jessica Mangiaracina
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Alessandro Grazioli
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Michele Sozzi
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Davide Gorni
- H&D S.R.L., Strada Langhirano 264/1a, 43124 Parma, Italy;
| | - Simona Bussolati
- Dipartimento di Scienze Medico-Veterinarie, Via del Taglio 10, 43126 Parma, Italy; (S.B.); (G.B.)
| | - Annamaria Cucinotta
- Dipartimento di Ingegneria e Architettura, University of Parma, Parco Area delle Scienze, 181/A, 43124 Parma, Italy;
| | - Giuseppina Basini
- Dipartimento di Scienze Medico-Veterinarie, Via del Taglio 10, 43126 Parma, Italy; (S.B.); (G.B.)
| | - Stefano Selleri
- Dipartimento di Ingegneria e Architettura, University of Parma, Parco Area delle Scienze, 181/A, 43124 Parma, Italy;
- Correspondence: ; Tel.: +39-052-190-5763
| |
Collapse
|