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Bhandari S, Parihar VS, Kellomäki M, Mahato M. Highly selective and flexible silver nanoparticles-based paper sensor for on-site colorimetric detection of paraquat pesticide. RSC Adv 2024; 14:28844-28853. [PMID: 39257667 PMCID: PMC11386213 DOI: 10.1039/d4ra04557b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 09/03/2024] [Indexed: 09/12/2024] Open
Abstract
Paper-based sensors or paper-based analytical devices (PADs) have recently emerged as the cost-efficient, and portable, on-site detection tools for various biological and environmental analytes. However, paper-based sensors often suffer from poor selectivity. Here, a single-step paper-based flexible sensor platform has been developed for the on-site detection of paraquat (PQ) pesticide in real samples, utilizing chitosan and citrate-capped silver nanoparticles integrated with a flexible paper. The nanocomposite paper film was thoroughly characterized using UV-visible spectroscopy, Fourier-transform infrared spectroscopy (FTIR), and transmission electron microscopy (TEM). The composite paper platform demonstrated a color change with a reaction time within a few minutes (6-7 min) in the presence of PQ pesticide. The trace level PQ pesticide has been detected with a limit of detection (LOD) of 10 μM and a linear range (LR) of 10-100 μM. The sensor shows 3× more selective signal towards PQ pesticide compared to other similar pesticides. The relative standard deviation (RSD) was found to be 5% for repeatability, 4% for reproducibility, 2% for interference, and 3.5% for real sample analysis, indicating high precision sensing and within the WHO limit of RSD (20%). The present work will open up new avenues for the advancements in flexible paper sensors; cost-effective, portable, on-site sensors, and sustainable device development.
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Affiliation(s)
- Sanjeev Bhandari
- Physics Division, Department of Basic Sciences and Social Sciences, School of Technology, North-Eastern Hill University Shillong Meghalaya 793022 India
| | - Vijay Singh Parihar
- Biomaterials and Tissue Engineering Group, Faculty of Medicine and Health Technology, Tampere University 33720 Tampere Finland
| | - Minna Kellomäki
- Biomaterials and Tissue Engineering Group, Faculty of Medicine and Health Technology, Tampere University 33720 Tampere Finland
| | - Mrityunjoy Mahato
- Physics Division, Department of Basic Sciences and Social Sciences, School of Technology, North-Eastern Hill University Shillong Meghalaya 793022 India
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2
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Behera P, De M. Surface-Engineered Nanomaterials for Optical Array Based Sensing. Chempluschem 2024; 89:e202300610. [PMID: 38109071 DOI: 10.1002/cplu.202300610] [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: 10/25/2023] [Revised: 12/01/2023] [Indexed: 12/19/2023]
Abstract
Array based sensing governed by optical methods provides fast and economic way for detection of wide variety of analytes where the ideality of detection processes depends on the sensor element's versatile mode of interaction with multiple analytes in an unbiased manner. This can be achieved by either the receptor unit having multiple recognition moiety, or their surface property should possess tuning ability upon fabrication called surface engineering. Nanomaterials have a high surface to volume ratio, making them viable candidates for molecule recognition through surface adsorption phenomena, which makes it ideal to meet the above requirements. Most crucially, by engineering a nanomaterial's surface, one may produce cross-reactive responses for a variety of analytes while focusing solely on a single nanomaterial. Depending on the nature of receptor elements, in the last decade the array-based sensing has been considering as multimodal detection platform which operates through various pathway including single channel, multichannel, binding and indicator displacement assay, sequential ON-OFF sensing, enzyme amplified and nanozyme based sensing etc. In this review we will deliver the working principle for Array-based sensing by using various nanomaterials like nanoparticles, nanosheets, nanodots and self-assembled nanomaterials and their surface functionality for suitable molecular recognition.
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Affiliation(s)
- Pradipta Behera
- Department of Organic Chemistry, Indian Institute of Science, Bangalore, 560012, India
| | - Mrinmoy De
- Department of Organic Chemistry, Indian Institute of Science, Bangalore, 560012, India
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3
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Abbasi-Moayed S, Orouji A, Hormozi-Nezhad MR. Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array. BIOSENSORS 2023; 13:803. [PMID: 37622889 PMCID: PMC10452313 DOI: 10.3390/bios13080803] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 07/27/2023] [Accepted: 08/08/2023] [Indexed: 08/26/2023]
Abstract
Biogenic amines (BAs) were presented as significant markers for the evaluation of the spoilage of meat and meat products. In this work, a colorimetric sensor array was developed for the discrimination and detection of spermine (SP), spermidine (SD), histamine (HS), and tryptamine (TP) as important BAs in food assessment. For this aim, two important spherical plasmonic nanoparticles, namely gold nanoparticles (AuNPs) and silver nanoparticles (AgNPs), were utilized as the sensing elements of the probes. The cross-reactive interaction of the target biogenic amines and the plasmonic nanoparticles caused the aggregation-induced UV-Vis spectra changes, which were accompanied by visual color variation in the solution. The collected responses were analyzed by principal component analysis-linear discrimination analysis (PCA-LDA) to classify the four BAs. This colorimetric sensor array can also discriminate between the individual BAs and their mixture accurately. Partial least squares regression (PLS-R) was also utilized for quantitative analysis of the BAs. The wide linear concentration ranges of 0.1-10.0 µM for the four BAs and desirable figures of merits (FOMs) showed the potential of the developed sensor for quantitative detection of the BAs. Finally, the practical ability of the developed probe was studied by the determination of the BAs in the meat samples, which successfully proved the potential of the colorimetric sensor array in a food sample.
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Affiliation(s)
- Samira Abbasi-Moayed
- Department of Analytical Chemistry, Faculty of chemistry, Kharazmi University, Tehran 15719-14911, Iran
| | - Afsaneh Orouji
- Department of Chemistry, Sharif University of Technology, Tehran 11155-9516, Iran;
| | - Mohammad Reza Hormozi-Nezhad
- Department of Chemistry, Sharif University of Technology, Tehran 11155-9516, Iran;
- Institute for Nanoscience and Nanotechnology, Sharif University of Technology, Tehran 11155-9516, Iran
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4
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Keshavarzi P, Abbasi-Moayed S, Khodabakhsh M, Unal U, Hormozi-Nezhad MR. Chrono-colorimetric sensor array for detection and discrimination of halide ions using an all-in-one plasmonic sensor element. Talanta 2023; 259:124528. [PMID: 37060722 DOI: 10.1016/j.talanta.2023.124528] [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: 12/20/2022] [Revised: 03/27/2023] [Accepted: 04/03/2023] [Indexed: 04/17/2023]
Abstract
Most nanoparticle based colorimetric sensor array utilize several sensor elements and static response for discrimination of target analytes. This approach can be complicated and costly to synthesize or functionalize different nanoparticles for providing wide color variation. Herein, triangular silver nanoparticles (TSNPs) were used to develop a colorimetric sensor array by time-dimension responses. The principle of this sensor array is based on the diverse etching process of TSNPs in the presence of three halide ions, including bromide (Br-), iodide (I-) and chloride (Cl-). Various etchings of TSNPs induced color changes at different reaction time intervals, which produced a colorimetric pattern for each ion. Therefore, using time dependent etching responses of TSNPs as a single sensing component can produce a wide color variation which can be distinguished by naked eyes. The colorimetric responses of TSNPs upon the addition of different concentrations of halide ions have been analyzed by PLS regression (PLS-R) and PLS discriminant analysis (PLS-DA). The analytical figures of merit confirmed that the developed chrono-colorimetric TSNPs -based sensor array is successful in both the discrimination and quantitative detection of halide ions. At the final step, the three halide ions were accurately determined in a real water sample, which verified the potential of the developed sensor in a real sample.
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Affiliation(s)
- Parham Keshavarzi
- Department of Chemistry, Sharif University of Technology, Tehran, 111559516, Iran
| | - Samira Abbasi-Moayed
- Department of Analytical Chemistry, Faculty of Chemistry, Kharazmi University, 15719-14911, Tehran, Iran.
| | | | - Ugur Unal
- Chemistry Department, Koc University, Rumelifeneri Yolu, Sariyer, 34450, Istanbul, Turkey; Koc University Surface Science and Technology Center (KUYTAM), Koc University, Rumelifeneri Yolu, Sariyer, 34450, Istanbul, Turkey
| | - M Reza Hormozi-Nezhad
- Department of Chemistry, Sharif University of Technology, Tehran, 111559516, Iran; Institute for Nanoscience and Nanotechnology, Sharif University of Technology, Tehran, 11155-9516, Iran.
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5
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Li T, Zhu X, Hai X, Bi S, Zhang X. Recent Progress in Sensor Arrays: From Construction Principles of Sensing Elements to Applications. ACS Sens 2023; 8:994-1016. [PMID: 36848439 DOI: 10.1021/acssensors.2c02596] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
The traditional sensors are designed based on the "lock-and-key" strategy with high selectivity and specificity for detecting specific analytes, which however are not suitable for detecting multiple analytes simultaneously. With the help of pattern recognition technologies, the sensor arrays excel in distinguishing subtle changes caused by multitarget analytes with similar structures in a complex system. To construct a sensor array, the multiple sensing elements are undoubtedly indispensable units that will selectively interact with targets to generate the unique "fingerprints" based on the distinct responses, enabling the identification among various analytes through pattern recognition methods. This comprehensive review mainly focuses on the construction strategies and principles of sensing elements, as well as the applications of sensor array for identification and detection of target analytes in a wide range of fields. Furthermore, the present challenges and further perspectives of sensor arrays are discussed in detail.
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Affiliation(s)
- Tian Li
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Xueying Zhu
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Xin Hai
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Sai Bi
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Xueji Zhang
- School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen, Guangdong 518060, P. R. China
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Davoodi-Rad K, Shokrollahi A, Shahdost-Fard F, Azadkish K. Copper-Guanosine Nanorods (Cu-Guo NRs) as a Laccase Mimicking Nanozyme for Colorimetric Detection of Rutin. BIOSENSORS 2023; 13:374. [PMID: 36979586 PMCID: PMC10046739 DOI: 10.3390/bios13030374] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/26/2023] [Accepted: 03/10/2023] [Indexed: 06/18/2023]
Abstract
Inspired by laccase activity, herein, Cu-guanosine nanorods (Cu-Guo NRs) have been synthesized for the first time through a simple procedure. The activity of the Cu-Guo NR as the laccase mimicking nanozyme has been examined in the colorimetric sensing of rutin (Rtn) by a novel and simple spectrophotometric method. The distinct changes in the absorbance signal intensity of Rtn and a distinguished red shift under the optimum condition based on pH and ionic strength values confirmed the formation of the oxidized form of Rtn (o-quinone) via laccase-like nanozyme activity of Cu-Guo NRs. A vivid and concentration-dependent color variation from green to dark yellow led to the visual detection of Rtn in a broad concentration range from 770 nM to 54.46 µM with a limit of detection (LOD) of 114 nM. The proposed methodology was successfully applied for the fast tracing of Rtn in the presence of certain common interfering species and various complex samples such as propolis dry extract, human biofluids, and dietary supplement tablets, with satisfactory precision. The sensitivity and selectivity of the developed sensor, which are bonuses in addition to rapid, on-site, cost-effective, and naked-eye determination of Rtn, hold great promise to provide technical support for routine analysis in the real world.
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Affiliation(s)
| | | | | | - Kamal Azadkish
- Chemistry Department, Yasouj University, Yasouj 75914-353, Iran (K.A.)
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7
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Ghasemi F, Fahimi-Kashani N, Bigdeli A, Alshatteri AH, Abbasi-Moayed S, Al-Jaf SH, Merry MY, Omer KM, Hormozi-Nezhad MR. Paper-based optical nanosensors – A review. Anal Chim Acta 2022; 1238:340640. [DOI: 10.1016/j.aca.2022.340640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 11/23/2022]
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8
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Mehta VN, Ghinaiya N, Rohit JV, Singhal RK, Basu H, Kailasa SK. Ligand chemistry of gold, silver and copper nanoparticles for visual read-out assay of pesticides: A review. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116607] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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9
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Ghohestani E, Tashkhourian J, Sharifi H, Bojanowski NM, Seehafer K, Smarsly E, Bunz UHF, Hemmateenejad B. A poly(arylene ethynylene)-based microfluidic fluorescence sensor array for discrimination of polycyclic aromatic hydrocarbons. Analyst 2022; 147:4266-4274. [DOI: 10.1039/d2an01045c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) were discriminated using a microfluidic paper-based sensor array device.
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Affiliation(s)
| | | | - Hoda Sharifi
- Department of Chemistry, Shiraz University, 719468 Shiraz, Iran
| | - N. Maximilian Bojanowski
- Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld, 69120, Heidelberg, Germany
| | - Kai Seehafer
- Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld, 69120, Heidelberg, Germany
| | - Emanuel Smarsly
- Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld, 69120, Heidelberg, Germany
| | - Uwe H. F. Bunz
- Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld, 69120, Heidelberg, Germany
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10
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Ma G, Cao J, Hu G, Zhu L, Chen H, Zhang X, Liu J, Ji J, Liu X, Lu C. Porous chitosan/partially reduced graphene oxide/diatomite composite as an efficient adsorbent for quantitative colorimetric detection of pesticides in a complex matrix. Analyst 2021; 146:4576-4584. [PMID: 34152332 DOI: 10.1039/d1an00621e] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
On-site, instrument free quantitative analysis of pesticides is of significant importance for food safety control. However, it is still a great challenge for pesticide detection in food via the current visual detection methods due to the presence of interferents in a complex matrix. In this study, a complex tea matrix had a strong effect on a gold nanoparticles (Au NPs) based colorimetric sensor for the detection of pesticides. Here, a porous chitosan/partially reduced graphene oxide/diatomite (CS/prGO/DM) composite was successfully synthesized via a facile hydrothermal treatment. It could act as an efficient adsorbent for removing different types of tea interferents. A colorimetric sensing platform for the quantitative detection of pesticides in a complex matrix was successfully established. The color changes of the aggregation of Au NPs induced by pesticides were captured using the camera of a smartphone and the images were processed with average RGB (red, green, and blue) values obtained using self-developed software. The G/R values and A700/525 values obtained from UV-vis spectra could be used for quantitative analysis of pesticides. The limits of detection of phosalone and thiram in tea were 90 nM and 13.8 nM, respectively. It is expected that graphene-based materials are attractive for wide application of on-site colorimetric quantitative detection in a variety of fields like environmental protection, food safety and bioanalysis.
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Affiliation(s)
- Guicen Ma
- Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008, China. and Laboratory of Quality and Safety and Risk Assessment for Tea Products (Hangzhou), Ministry of Agriculture and Rural Affairs, Hangzhou, 310008, China
| | - Jianrong Cao
- Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008, China. and Graduate School of Chinese Academy of Agricultural Sciences, Beijing, China
| | - Gaohua Hu
- Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008, China. and Graduate School of Chinese Academy of Agricultural Sciences, Beijing, China
| | - Li Zhu
- Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008, China. and Laboratory of Quality and Safety and Risk Assessment for Tea Products (Hangzhou), Ministry of Agriculture and Rural Affairs, Hangzhou, 310008, China
| | - Hongping Chen
- Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008, China. and Laboratory of Quality and Safety and Risk Assessment for Tea Products (Hangzhou), Ministry of Agriculture and Rural Affairs, Hangzhou, 310008, China
| | - Xiangchun Zhang
- Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008, China. and Laboratory of Quality and Safety and Risk Assessment for Tea Products (Hangzhou), Ministry of Agriculture and Rural Affairs, Hangzhou, 310008, China
| | - Jiahao Liu
- State Key Laboratory of Digital Manufacturing and Equipment Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Jingjing Ji
- State Key Laboratory of Digital Manufacturing and Equipment Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Xin Liu
- Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008, China. and Laboratory of Quality and Safety and Risk Assessment for Tea Products (Hangzhou), Ministry of Agriculture and Rural Affairs, Hangzhou, 310008, China
| | - Chengyin Lu
- Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008, China. and Laboratory of Quality and Safety and Risk Assessment for Tea Products (Hangzhou), Ministry of Agriculture and Rural Affairs, Hangzhou, 310008, China
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11
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Dai H, Jia J, Fan Y, Chen H, Wang S, Shen C, Li A, Lu L, Zhou C, Fu H, She Y. Four-channel fluorescent sensor array based on various functionalized CdTe quantum dots for the discrimination of Chinese baijiu. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 252:119513. [PMID: 33571738 DOI: 10.1016/j.saa.2021.119513] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 01/19/2021] [Accepted: 01/19/2021] [Indexed: 05/26/2023]
Abstract
As a special carrier of traditional Chinese culture, baijiu is rich in terms of types and ingredients. Its quality analysis and control are always important and complex issues that urgently need reliable evaluation methods. In this study, four different modified CdTe quantum dots (QDs) were used to characterize their sensing performance to various baijiu. A sensor array was then constructed through the complementary properties of differential fluorescence signals. To achieve an accurate and rapid evaluation of different baijiu types, a linear discriminant analysis (LDA) was introduced to extract and process spectral information. And the array was able to distinguish commercial baijiu samples with different aroma-types, brands, qualities and storage years with a recognition rate of 100%. In addition, according to the heat map, the organic acids in baijiu were shown to be the main components causing the fluorescence change through electron transfer (hydrogen bond) and resonance energy transfer among QDs and acids. Furthermore, using the partial least squares regression (PLSR) model, five representative organic acids were accurately quantified with a quantitative range of 10 μmol/L-80 μmol/L with a high selectivity. This QDs fluorescence sensing strategy provides an accurate, simple, and fast baijiu sensing method, which provides a potential use for on-line baijiu monitoring.
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Affiliation(s)
- Hupiao Dai
- State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Junjie Jia
- State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China; National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Co., Ltd., Luzhou 646000, PR China
| | - Yao Fan
- State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Hengye Chen
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan 430074, PR China
| | - Songtao Wang
- National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Co., Ltd., Luzhou 646000, PR China
| | - Caihong Shen
- National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Co., Ltd., Luzhou 646000, PR China
| | - Ailan Li
- State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Lingmin Lu
- State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Chunsong Zhou
- International Environmental Protection City Technology Limited Company (IEPCT), Yixing 214200, PR China
| | - Haiyan Fu
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan 430074, PR China.
| | - Yuanbin She
- State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China.
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Development of a colorimetric sensor array based on monometallic and bimetallic nanoparticles for discrimination of triazole fungicides. Anal Bioanal Chem 2021; 414:5297-5308. [PMID: 33855603 DOI: 10.1007/s00216-021-03272-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/26/2021] [Accepted: 03/04/2021] [Indexed: 10/21/2022]
Abstract
Due to the widespread use of pesticides and their harmful effects on humans and wildlife, monitoring their residual amounts in crops is critically essential but still challenging regarding the development of high-throughput approaches. Herein, a colorimetric sensor array has been proposed for discrimination and identification of triazole fungicides using monometallic and bimetallic silver and gold nanoparticles. Aggregation-induced behavior of AgNPs, AuNPs, and Au-AgNPs in the presence of four triazole fungicides produced a fingerprint response pattern for each analyte. Innovative changes to the metal composition of nanoparticles leads to the production of entirely distinct response patterns that can be used for the detection and discrimination of triazoles. Pattern recognition methods, including linear discriminant analysis (LDA) and hierarchical cluster analysis, have been employed for the differentiation of triazoles in the concentration range of 0.1-0.55 μg mL-1. Besides, the sensor array demonstrates promising practicability to satisfactorily distinguished triazole in mixtures and complex media of wheat flour and cucumber samples. The proposed colorimetric sensor array might pave the way towards a cost-effective and rapid, yet sensitive platform for high-throughput monitoring of residual amounts of pesticides for on-site applications.
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Rovina K, Vonnie JM, Mantihal S, Joseph J, Halid NFA. Development of films based on tapioca starch/gold nanoparticles for the detection of organophosphorus pesticides. J Verbrauch Lebensm 2021. [DOI: 10.1007/s00003-021-01321-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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14
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Voltammetric detection of silver in commercial products on boron doped diamond electrode: stripping at lowered potential in the presence of thiosulfate ions. MONATSHEFTE FUR CHEMIE 2020. [DOI: 10.1007/s00706-020-02634-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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15
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Bigdeli A, Ghasemi F, Fahimi-Kashani N, Abbasi-Moayed S, Orouji A, Jafar-Nezhad Ivrigh Z, Shahdost-Fard F, Hormozi-Nezhad MR. Optical nanoprobes for chiral discrimination. Analyst 2020; 145:6416-6434. [DOI: 10.1039/d0an01211d] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Chiral recognition can be achieved by exploiting chiral properties of nanoparticles within various colorimetric and luminescent sensing systems.
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Affiliation(s)
- Arafeh Bigdeli
- Chemistry Department
- Sharif University of Technology
- Tehran
- Iran
| | - Forough Ghasemi
- Department of Nanotechnology
- Agricultural Biotechnology Research Institute of Iran (ABRII)
- Agricultural Research
- Education
- and Extension Organization (AREEO)
| | | | | | - Afsaneh Orouji
- Chemistry Department
- Sharif University of Technology
- Tehran
- Iran
| | | | | | - M. Reza Hormozi-Nezhad
- Chemistry Department
- Sharif University of Technology
- Tehran
- Iran
- Institute for Nanoscience and Nanotechnology
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16
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Electronic Tongues for Inedible Media. SENSORS 2019; 19:s19235113. [PMID: 31766686 PMCID: PMC6928786 DOI: 10.3390/s19235113] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/12/2019] [Accepted: 11/20/2019] [Indexed: 12/16/2022]
Abstract
“Electronic tongues”, “taste sensors”, and similar devices (further named as “multisensor systems”, or MSS) have been studied and applied mostly for the analysis of edible analytes. This is not surprising, since the MSS development was sometimes inspired by the mainstream idea that they could substitute human gustatory tests. However, the basic principle behind multisensor systems—a combination of an array of cross-sensitive chemical sensors for liquid analysis and a machine learning engine for multivariate data processing—does not imply any limitations on the application of such systems for the analysis of inedible media. This review deals with the numerous MSS applications for the analysis of inedible analytes, among other things, for agricultural and medical purposes.
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Chen X, Li B, Qiao Y, Lu Z. Preparing Polypyrrole-Coated Stretchable Textile via Low-Temperature Interfacial Polymerization for Highly Sensitive Strain Sensor. MICROMACHINES 2019; 10:mi10110788. [PMID: 31744264 PMCID: PMC6915628 DOI: 10.3390/mi10110788] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 12/20/2022]
Abstract
The stretchable sensor has been considered as the most important component in a wearable device. However, it is still a great challenge to develop a highly sensitive textile-based strain sensor with good flexibility, excellent skin affinity, and large dynamic range. Herein, polypyrrole (PPy) was immobilized on a stretchable textile knitted by polyester and spandex via low-temperature interfacial polymerization to prepare a conductive strain sensor for human motion and respiration measurements. Scanning electron microscopy, Fourier transform infrared spectrometry, and thermal gravimetric data verify that a thin layer of PPy has been successfully coated on the textile with a high density and very uniform distribution. The resistance of the as-prepared textile is 21.25 Ω/cm2 and the PPy-coated textile could be used as an electric conductor to light up a LED lamp. Moreover, the textile could tolerate folding at an angle of 180° and 500 times of bending-twisting cycles without significant changes on its resistance. A negative correlation between the resistance change and the applied strain is observed for the textile-based sensor in the strain ranging from 0 to 71% with the gauge factor of −0.46. After more than 200 cycles of stretching-releasing under the strain of 26%, there is no obvious alteration on the sensing responses. The sensors were attached on volunteers’ body or clothes for the real-time measurement of human motions and respiration, demonstrating that the textile-based sensor could sensitively detect finger, elbow, and knee bending and differentiate deep, normal, and fast breath. This work may provide an approach to uniform and dense coating conductive polymers on textiles for highly sensitive and stretchable sensors, which possess great potentials in practical applications for real-time monitoring human motions and physiological signs.
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Affiliation(s)
- Xiaodie Chen
- Key Laboratory of Luminescent and Real-Time Analytical Chemistry (Southwest University), Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, China
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, China
| | - Bintian Li
- Key Laboratory of Luminescent and Real-Time Analytical Chemistry (Southwest University), Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, China
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, China
| | - Yan Qiao
- Key Laboratory of Luminescent and Real-Time Analytical Chemistry (Southwest University), Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, China
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, China
- Correspondence: (Y.Q.); (Z.L.); Tel.: +86-23-6825-4732 (Y.Q.); +86-23-6825-4969 (Z.L.)
| | - Zhisong Lu
- Key Laboratory of Luminescent and Real-Time Analytical Chemistry (Southwest University), Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, China
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, China
- Correspondence: (Y.Q.); (Z.L.); Tel.: +86-23-6825-4732 (Y.Q.); +86-23-6825-4969 (Z.L.)
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