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4. Paralytic Shellfish Toxin Extraction from Bivalve Meat for Analysis Using Potentiometric Chemical Sensors.

Author

Cerqueira, Ana Filipa R., Moreirinha, Catarina, Raposo, Mariana, Gomes, Maria Teresa S. R., Costa, Sara T., Botelho, Maria João, and Rudnitskaya, Alisa

Subjects
PARALYTIC shellfish toxins, CHEMICAL detectors, ANALYTICAL chemistry, MEAT analysis, POTENTIOMETRY, SHELLFISH
Abstract

A simple and reliable methodology for the detection of paralytic shellfish toxins (PSTs) in bivalve tissues using potentiometric chemical sensors was developed. Five methods of PST extraction from mussel and oyster tissues were evaluated, including the AOAC-recommended method, which served as the reference. The main objective was to minimize the matrix effect of the extracts on the sensors' responses and ensure efficient toxin recovery. Extraction procedures using acetic acid with heating and water yielded the highest responses from the potentiometric chemical sensors to PSTs. The highest recovery of PSTs from bivalve tissues was achieved with extraction using acetic acid and heating. Further extract purification, which is indispensable for liquid chromatography with fluorometric detection (LC-FLD) analysis, was found to be unnecessary for analysis with chemical sensors. While water extraction can also be used as a rapid and simple PST extraction method, the lower recoveries should be considered when interpreting the results. Further research is needed to identify the compounds remaining in the extracts that cause a decrease in sensor responses and to develop procedures for their elimination. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Sensor Selection for an Electronic Tongue for the Rapid Detection of Paralytic Shellfish Toxins: A Case Study.

Author

Raposo, Mariana, Gomes, Maria Teresa S. R., Costa, Sara T., Botelho, Maria João, and Rudnitskaya, Alisa

Subjects
PARALYTIC shellfish toxins, ELECTRONIC tongues, SHELLFISH, CHEMICAL detectors, MARINE toxins, SENSOR arrays
Abstract

The performance of an electronic tongue can be optimized by varying the number and types of sensors in the array and by employing data-processing methods. Sensor selection is typically performed empirically, with sensors picked up either by analyzing their characteristics or through trial and error, which does not guarantee an optimized sensor array composition. This study focuses on developing a method for sensor selection for an electronic tongue using simulated sensor data and Lasso regularization. Simulated sensor responses were calculated using sensor parameters such as sensitivity and selectivity, which were determined in the individual analyte solutions. Sensor selection was carried out using Lasso regularization, which removes redundant or highly correlated variables without much loss of information. The objective of the optimization of the sensor array was twofold, aiming to minimize both quantification errors and the number of sensors in the array. The quantification of toxins belonging to one of the groups of marine toxins—paralytic shellfish toxins (PSTs)—using arrays of potentiometric chemical sensors was used as a case study. Eight PSTs corresponding to the toxin profiles in bivalves due to the two common toxin-producing phytoplankton species, G. catenatum (dcSTX, GTX5, GTX6, and C1+2) and A. minitum (STX, GTX2+3), as well as total sample toxicity, were included in the study. Experimental validation with mixed solutions of two groups of toxins confirmed the suitability of the proposed method of sensor array optimization with better performance obtained for the a priori optimized sensor arrays. The results indicate that the use of simulated sensor responses and Lasso regularization is a rapid and efficient method for the selection of an optimized sensor array. [ABSTRACT FROM AUTHOR]

Published
2024
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18. List of contributors

Author

Ahmad, Farooq, Akgönüllü, Semra, Ariño, Arturo H., Arnab, Maity, Ataria, Yochai, Ben-Yoav, Hadar, Bisker, G., Braunger, Maria Luisa, Cetó, Xavier, Choi, Seon-Jin, Cölfen, Helmut, Correa, D.S., Daniel, Ramez, De la Hoz Siegler, Hector, del Valle, Manel, Denizli, Adil, Desagani, Dayananda, Di Natale, Corrado, Ding, Xijia, Ding, Xuyin, Drasinover, Lior, Escobar, Vanessa, Facure, Murilo H.M., Ge, Changlei, Gonçalves de Souza, Maria Helena, Gupta, Ritu, Haick, Hossam, Han, Songjia, Hou, Yanxia, Hu, Songtao, Huang, Rongying, Huang, Shuo, Huynh, Tan-Phat, J Pandya, Hardik, K, Kalaivanan, Khoury, Luai R., Kim, Dong-Ha, Kim, Il-Doo, Kravchik, Valeriia, Kulkarni, Giridhar U., Lee, Joon-Seok, Li, Lianhui, Li, Wenxing, Liu, Chuan, Liu, Juewen, Liu, Taoping, Liu, Yibo, Liu, Yuchen, Lvova, Larisa, M, Saravanan, Manzueta, Robiel, Mao, Chuanbin, Marom, Assaf, Martín-Gómez, César, Mercante, Luiza A., Mondal, Indrajit, O Kare, Siva Prakasam, Omar, Rawan, Pereira, Tamires S., Rana, Md Mohosin, Riul Jr., Antonio, Roy Chowdhury, Abhra, Rudnitskaya, Alisa, S, Sushmitha, Seo, Jae-Woo, Sharma, Piyush Sindhu, Shin, Hamin, Singh, Vishal, Su, Chen, Sundaram, Kiruthika Shanmuga, Tang, Ning, Wan, Yi, Wang, Buhua, Wang, Shuqi, Wang, Yan, Wei, Hui, Wu, Weiwei, Wulf, V., Xiong, Rui, Zhang, Lu, Zhang, Min, Zhang, Ting, Zhang, Yecheng, Zheng, Youbin, Zheng, Zhuo, Zoabi, Adan, and Zuazua-Ros, Amaia

Published
2025
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23. Contributors

Author

Abdullah, A.H., primary, Alessio, Priscila, additional, Amamcharla, Jayendra, additional, Antonucci, Francesca, additional, Apetrei, Constantin, additional, Balasubramanian, Sundar, additional, Banach, Ulrich, additional, Bandyopadhyay, Rajib, additional, Banerjee(Roy), Runu, additional, Barat, José M., additional, Bazihizina, Nadia, additional, Benedetti, Simona, additional, Bhattacharyya, Nabarun, additional, Bona, Evandro, additional, Branchini, Carla Guanais, additional, Brezmes, Jesús, additional, Buratti, Susanna, additional, Cetó, Xavier, additional, Ciosek, Patrycja, additional, Claps, Salvatore, additional, Constantino, Carlos José Leopoldo, additional, Cosio, Maria Stella, additional, Costa, Corrado, additional, Daikuzono, Cristiane Margarete, additional, de Oliveira, Osvaldo Novais, additional, De Saja, José A., additional, del Valle, Manel, additional, Di Natale, Corrado, additional, Dias, Luís G., additional, dos Santos Ferreira da Silva, Rui Sérgio, additional, Eriksson, Mats, additional, García-Hernández, C., additional, Garcia-Breijo, Eduardo, additional, Ghasemi-Varnamkhasti, Mahdi, additional, Ghosh, Arunangshu, additional, Gil-Sánchez, Luis, additional, Gomes, M.T.S.R., additional, Gutiérrez-Capitán, Manuel, additional, Hübert, Thomas, additional, Horrillo, M. Carmen, additional, Hui, Guohua, additional, Jiménez-Jorquera, Cecilia, additional, Kirsanov, Dmitry, additional, Kubiak, Aleksander, additional, Legin, Andrey, additional, Llobet, Eduard, additional, Lozano, Jesús, additional, Lvova, Larisa, additional, Mancuso, Stefano, additional, Martínez-Máñez, Ramón, additional, Masnan, M.J., additional, Medina-Plaza, C., additional, Menesatti, Paolo, additional, Mirela Apetrei, Irina, additional, Morone, Giuseppe, additional, Omar, O., additional, Pallottino, Federico, additional, Paolesse, Roberto, additional, Peres, António M., additional, Persaud, Krishna, additional, Rahim, N.A., additional, Riul, Antonio, additional, Rodríguez Méndez, María Luz, additional, Rodrigues, Lígia R., additional, Rodriguez-Estrada, María Teresa, additional, Romani, Santina, additional, Romano, Andrea, additional, Rudnitskaya, Alisa, additional, Sa'ad, F.S.A., additional, Santos, José Pedro, additional, Scampicchio, Matteo, additional, Sepe, Lucia, additional, Shakaff, A.Y.M., additional, Shin, Jin-E, additional, Strano, Maria Concetta, additional, Tahara, Yusuke, additional, Taiti, Cosimo, additional, Tamuly, Pradip, additional, Tiebe, Carlo, additional, Toko, Kiyoshi, additional, Tudu, Bipan, additional, Vagin, Mikhail Yu., additional, Veloso, Ana C.A., additional, Winquist, Fredrik, additional, and Zakaria, A., additional

Published
2016
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49. Fiber optic sensor modified by grafting of the molecularly imprinted polymer for the detection of ammonium in aqueous media

Author

Bilro Lucia, Gomes Maria Teresa Seabra dos Reis, Rudnitskaya Alisa M, Sekeira Filipa, Lopes Nair, Zadorozhnaia Olesya A, and Rogerio Nogueira Nunes

Subjects
Materials science, 02 engineering and technology, ammonium detection, 01 natural sciences, lcsh:QA75.5-76.95, chemistry.chemical_compound, 0103 physical sciences, lcsh:QC350-467, Ammonium, polymer optical fiber sensor, 010302 applied physics, chemistry.chemical_classification, Mechanical Engineering, Polymer, 021001 nanoscience & nanotechnology, Grafting, grafting, 6. Clean water, Atomic and Molecular Physics, and Optics, Computer Science Applications, Electronic, Optical and Magnetic Materials, chemistry, Chemical engineering, 13. Climate action, Fiber optic sensor, molecular imprinting, lcsh:Electronic computers. Computer science, 0210 nano-technology, Molecular imprinting, lcsh:Optics. Light, Information Systems
Abstract

Subject of Research.The paper deals with novel chemical sensors based on the polymeric optical fibers modified by grafting of the molecularly imprinted polymer for the detection of ammonium in aqueous solutions. Elevated concentrations of ammonium in surface waters lead to their eutrophication, that’s why, monitoring of the content of this ion is very important for the evaluation of surface water quality. However, currently in situ monitoring of relevant parameters in surface waters is constrained by the availability and cost of commercial sensors. Attractive approach to the development of chemical sensors for remote controls is the use of polymeric optical fibers. Polymer optical fibers have high mechanical resistance and low cost, and give the possibility for multiplexing and remote sensing. Method. Polymeric layer imprinted with ammonium ions was grafted on the surface of the methylmethacrylate fiber. Methacrylic acid was used as a monomer, ethylene glycol dimethacylate as a cross-linker, 2.2'-Azobis (2-ethylpropionamidine) dihydrochloride as a radical initiator, ammonium as a template and water:ethanol 4:1 mixture as a solvent. Optimization of the imprinted polymer synthesis conditions was carried out using intensity of transmitted light, uniformity of the grafted polymeric layer and response in the aqueous ammonium solutions as optimization criteria. Main Results. Chemical sensors based on the polymeric optical fibers modified by grafting of the molecularly imprinted polymer for the detection of ammonium in aqueous solutions have been developed. New method of the grafting of the molecularly imprinted polymer on the surface of the methylmethacrylate optical fiber has been developed. It was found out, that high concentrations of the monomer and cross-linker in the polymerization solutions cause optical fiber damage while longer polymerization times result in the decrease of the intensity of transmitted light. Optical sensor demonstrating response to ammonium in the aqueous solutions was obtained using the following experimental conditions: methacrylic acid – 2.1 mmolL-1, ethylene glycol dimethacylate – 7.7 mmolL-1 and NH4Cl – 0.3 mmolL-1 and polymerization time equal to15 minutes. Practical Relevance. Results obtained in this work are applicable in the ecological monitoring of ammonium in the surface waters, in particular, as a part of remote in situ sensing systems. Furthermore, developed optimized method of the grafting of molecularly imprinted polymer on the surface of the polymeric optical fiber is usable for the development of fiber optic sensors for detection of other compounds.

Published
2015

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