1
|
Dhanalaxmi B, Balchander V, Sumalatha V, Ayodhya D, Reddy GP. Hydrothermal Fabrication of Efficient Binary Pd/Ag 2S Heterojunction Composites: Synthesis, Characterization, and Fluorometric Selective Sensing of Organophosphate Pesticides. J Fluoresc 2024; 34:2807-2816. [PMID: 37922112 DOI: 10.1007/s10895-023-03405-x] [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: 07/20/2023] [Accepted: 08/16/2023] [Indexed: 11/05/2023]
Abstract
Although many plasmonic nanosensors have been established for the detection of analytes, few of them are feasible for analyzing natural samples with very complex matrices because of insufficient method selectivity. To address this challenge, we propose an epitaxial and lattice-mismatch approach to the synthesis of a unique Pd/Ag2S nanostructure, which consists of a Pd segment with excellent plasmonic characteristics, and a highly stable Ag2S portion with minimum solubility product (Ksp(Ag2S) = 6.3 × 10- 50). Hence, Ag2S nanoparticles (NPs) and optimized (10.05 mmol/L) Pd/Ag2S composite were prepared using a hydrothermal method. The fabricated samples were characterized using different tools including UV-vis DRS, PL, powder XRD, TEM, and BET surface area measurements. Furthermore, the fluorometric sensing performance of the Ag2S and Pd/Ag2S samples was examined in the detection of organophosphate pesticides such as MLT, PRT, DZN, FNT, DCL, MCP, and CPS pesticides at room temperature. The quantitative detection of MLT, PRT, DZN, FNT, DCL, MCP, and CPS pesticides was achieved based on the Pd/Ag2S composite and organophosphate group-specific interaction. The optimized sensor exhibited a lower limit of detection (3.08 µM), excellent reproducibility, selectivity, and stability with an enhanced sensitivity of - 207.1 µA/µM cm2 (R2 = 0.98) in the range of 10 µM-100 µM for the detection of CPS pesticide. In addition, the fluorometric sensor has excellent selectivity, reproducibility, and stability, providing a feasible method for not only the detection of CPS pesticides but also other analytes in the future.
Collapse
Affiliation(s)
- B Dhanalaxmi
- University College of Technology, Osmania University, Hyderabad, 500007, Telangana, India.
| | - V Balchander
- Department of Pharmaceutical Engineering, BV Raju Institute of Technology, Narsapur, 502313, Telangana, India
| | - V Sumalatha
- Department of Chemistry, JMJ College for Women, Tenali, 522201, Andhra Pradesh, India
| | - Dasari Ayodhya
- Department of Chemistry, University College of Science, Osmania University, Hyderabad, 500007, Telangana, India
- Chemical Group, Intellectual Property India, Patent Office, GST Road, Guindy, Chennai, 600032, Tamil Nadu, India
| | - G Prabhakar Reddy
- University College of Technology, Osmania University, Hyderabad, 500007, Telangana, India.
| |
Collapse
|
2
|
Wu B, Ga L, Wang Y, Ai J. Recent Advances in the Application of Bionanosensors for the Analysis of Heavy Metals in Aquatic Environments. Molecules 2023; 29:34. [PMID: 38202619 PMCID: PMC10780001 DOI: 10.3390/molecules29010034] [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: 10/27/2023] [Revised: 11/21/2023] [Accepted: 11/29/2023] [Indexed: 01/12/2024] Open
Abstract
Heavy-metal ions (HMIs) as a pollutant, if not properly processed, used, and disposed of, will not only have an influence on the ecological environment but also pose significant health hazards to humans, making them a primary factor that endangers human health and harms the environment. Heavy metals come from a variety of sources, the most common of which are agriculture, industry, and sewerage. As a result, there is an urgent demand for portable, low-cost, and effective analytical tools. Bionanosensors have been rapidly developed in recent years due to their advantages of speed, mobility, and high sensitivity. To accomplish effective HMI pollution control, it is important not only to precisely pinpoint the source and content of pollution but also to perform real-time and speedy in situ detection of its composition. This study summarizes heavy-metal-ion (HMI) sensing research advances over the last five years (2019-2023), describing and analyzing major examples of electrochemical and optical bionanosensors for Hg2+, Cu2+, Pb2+, Cd2+, Cr6+, and Zn2+.
Collapse
Affiliation(s)
- Bin Wu
- College of Chemistry and Enviromental Science, Inner Mongolia Key Laboratory of Environmental Chemistry, Inner Mongolia Normal University, 81 zhaowudalu, Hohhot 010022, China;
| | - Lu Ga
- College of Pharmacy, Inner Mongolia Medical University, Jinchuankaifaqu, Hohhot 010110, China;
| | - Yong Wang
- College of Geographical Science, Inner Mongolia Normal University, 81 Zhaowudalu, Hohhot 010022, China
| | - Jun Ai
- College of Chemistry and Enviromental Science, Inner Mongolia Key Laboratory of Environmental Chemistry, Inner Mongolia Normal University, 81 zhaowudalu, Hohhot 010022, China;
| |
Collapse
|
3
|
Sadiq Z, Safiabadi Tali SH, Hajimiri H, Al-Kassawneh M, Jahanshahi-Anbuhi S. Gold Nanoparticles-Based Colorimetric Assays for Environmental Monitoring and Food Safety Evaluation. Crit Rev Anal Chem 2023; 54:2209-2244. [PMID: 36629748 DOI: 10.1080/10408347.2022.2162331] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Recent years have witnessed an exponential increase in the research on gold nanoparticles (AuNPs)-based colorimetric sensors to revolutionize point-of-use sensing devices. Hence, this review is compiled focused on current progress in the design and performance parameters of AuNPs-based sensors. The review begins with the characteristics of AuNPs, followed by a brief explanation of synthesis and functionalization methods. Then, the mechanisms of AuNPs-based sensors are comprehensively explained in two broad categories based on the surface plasmon resonance (SPR) characteristics of AuNPs and their peroxidase-like catalytic properties (nanozyme). SPR-based colorimetric sensors further categorize into aggregation, anti-aggregation, etching, growth-mediated, and accumulation-based methods depending on their sensing mechanisms. On the other hand, peroxidase activity-based colorimetric sensors are divided into two methods based on the expression or inhibition of peroxidase-like activity. Next, the analytes in environmental and food samples are classified as inorganic, organic, and biological pollutants, and recent progress in detection of these analytes are reviewed in detail. Finally, conclusions are provided, and future directions are highlighted. Improving the sensitivity, reproducibility, multiplexing capabilities, and cost-effectiveness for colorimetric detection of various analytes in environment and food matrices will have significant impact on fast testing of hazardous substances, hence reducing the pollution load in environment as well as rendering food contamination to ensure food safety.
Collapse
Affiliation(s)
- Zubi Sadiq
- Department of Chemical and Materials Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montréal, Québec, Canada
| | - Seyed Hamid Safiabadi Tali
- Department of Chemical and Materials Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montréal, Québec, Canada
| | - Hasti Hajimiri
- Department of Chemical and Materials Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montréal, Québec, Canada
| | - Muna Al-Kassawneh
- Department of Chemical and Materials Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montréal, Québec, Canada
| | - Sana Jahanshahi-Anbuhi
- Department of Chemical and Materials Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montréal, Québec, Canada
| |
Collapse
|
4
|
Gu Y, Jiao L, Cao F, Liu X, Zhou Y, Yang C, Gao Z, Zhang M, Lin P, Han Y, Dong D. A Real-Time Detection Method of Hg 2+ in Drinking Water via Portable Biosensor: Using a Smartphone as a Low-Cost Micro-Spectrometer to Read the Colorimetric Signals. BIOSENSORS 2022; 12:bios12111017. [PMID: 36421135 PMCID: PMC9688040 DOI: 10.3390/bios12111017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 05/31/2023]
Abstract
This paper reported a real-time detection strategy for Hg2+ inspired by the visible spectrophotometer that used a smartphone as a low-cost micro-spectrometer. In combination with the smartphone's camera and optical accessories, the phone's built-in software can process the received light band image and then read out the spectral data in real time. The sensor was also used to detect gold nanoparticles with an LOD of 0.14 μM, which are widely used in colorimetric biosensors. Ultimately, a gold nanoparticles-glutathione (AuNPs-GSH) conjugate was used as a probe to detect Hg2+ in water with an LOD of 1.2 nM and was applied successfully to natural mineral water, pure water, tap water, and river water samples.
Collapse
Affiliation(s)
- Yifan Gu
- College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Leizi Jiao
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Fengjing Cao
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Xinchao Liu
- College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
| | - Yunhai Zhou
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Chongshan Yang
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Zhen Gao
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Mengjie Zhang
- College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Peng Lin
- College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Yuxing Han
- Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- RIOS Lab, Tsinghua University, Shenzhen 518055, China
| | - Daming Dong
- National Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| |
Collapse
|
5
|
Wu HF, Kailasa SK. Recent advances in nanomaterials-based optical sensors for detection of various biomarkers (inorganic species, organic and biomolecules). LUMINESCENCE 2022. [PMID: 35929140 DOI: 10.1002/bio.4353] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/11/2022] [Accepted: 07/27/2022] [Indexed: 11/07/2022]
Abstract
This review briefly emphasizes the different detection approaches (electrochemical sensors, chemiluminescence, surface-enhanced Raman scattering), functional nanostructure materials (quantum dots, metal nanoparticles, metal nanoclusters, magnetic nanomaterials, metal oxide nanoparticles, polymer-based nanomaterials, and carbonaceous nanomaterials) and detection mechanisms. Further, this review emphasis on the integration of functional nanomaterials with optical spectroscopic techniques for the identification of various biomarkers (nucleic acids, glucose, uric acid, oxytocin, dopamine, ascorbic acid, bilirubin, spermine, serotonin, thiocyanate, Pb2+ , Cu2+ , Hg2+ , F- , peptides, and cancer biomarkers (mucin 1, prostate specific antigen, carcinoembryonic antigen, CA15-3, human epidermal growth factor receptor 2, C-reactive protein, and interleukin-6). Analytical characteristics of nanomaterials-based optical sensors are summarized in Tables, providing the insights of nanomaterials-based optical sensors for biomarkers detection. Finally, the opportunities and challenges of nanomaterials-based optical analytical approaches for the detection of various biomarkers (inorganic, organic, biomolecules, peptides and proteins) are discussed.
Collapse
Affiliation(s)
- Hui-Fen Wu
- Department of Chemistry, National Sun Yat-Sen University, Kaohsiung, Taiwan
- School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
- Institute of Medical Science and Technology, National Sun Yat-Sen University, Kaohsiung, Taiwan
- International PhD Program for Science, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Suresh Kumar Kailasa
- Department of Chemistry, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India
| |
Collapse
|
6
|
Zhang H, Zhong W, Yang Y, Liu G, Luo X. A controllable staining colorimetric method based on carboxylated cellulose membranes for early-warning and semi-quantitative detection of aflatoxins in water. Analyst 2022; 147:2549-2557. [DOI: 10.1039/d1an02355a] [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
A controllable staining colorimetric method was proposed for antibody-free detection of AFs by exploiting controllable electrostatic-staining of CCMs with Hg2+-capped AuNPs.
Collapse
Affiliation(s)
- Heng Zhang
- School of Chemical Engineering and Pharmacy; Key Laboratory of Novel Biomass-based Environmental and Energy Materials in Petroleum and Chemical Industry, Wuhan Institute of Technology, LiuFang Campus, No. 206, Guanggu 1st Road, Donghu New & High Technology Development Zone, Wuhan 430205, Hubei Province, PR China
| | - Wenhui Zhong
- School of Chemical Engineering and Pharmacy; Key Laboratory of Novel Biomass-based Environmental and Energy Materials in Petroleum and Chemical Industry, Wuhan Institute of Technology, LiuFang Campus, No. 206, Guanggu 1st Road, Donghu New & High Technology Development Zone, Wuhan 430205, Hubei Province, PR China
| | - Yang Yang
- School of Chemical Engineering and Pharmacy; Key Laboratory of Novel Biomass-based Environmental and Energy Materials in Petroleum and Chemical Industry, Wuhan Institute of Technology, LiuFang Campus, No. 206, Guanggu 1st Road, Donghu New & High Technology Development Zone, Wuhan 430205, Hubei Province, PR China
| | - Genyan Liu
- School of Chemical Engineering and Pharmacy; Key Laboratory of Novel Biomass-based Environmental and Energy Materials in Petroleum and Chemical Industry, Wuhan Institute of Technology, LiuFang Campus, No. 206, Guanggu 1st Road, Donghu New & High Technology Development Zone, Wuhan 430205, Hubei Province, PR China
| | - Xiaogang Luo
- School of Chemical Engineering and Pharmacy; Key Laboratory of Novel Biomass-based Environmental and Energy Materials in Petroleum and Chemical Industry, Wuhan Institute of Technology, LiuFang Campus, No. 206, Guanggu 1st Road, Donghu New & High Technology Development Zone, Wuhan 430205, Hubei Province, PR China
- School of Materials Science and Engineering, Zhengzhou University, No. 100 Science Avenue, Zhengzhou City, 450001, Henan Province, PR China
| |
Collapse
|
7
|
Harisha KS, Narayana B, Sangappa Y. Highly selective and sensitive colorimetric detection of arsenic(III) in aqueous solution using green synthesized unmodified gold nanoparticles. J DISPER SCI TECHNOL 2021. [DOI: 10.1080/01932691.2021.1931286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- K. S. Harisha
- Department of Studies in Physics, Mangalore University, Mangalagangotri, Mangalore, Karnataka, India
| | - B. Narayana
- Department of Studies in Chemistry, Mangalore University, Mangalagangotri, Mangalore, Karnataka, India
| | - Y. Sangappa
- Department of Studies in Physics, Mangalore University, Mangalagangotri, Mangalore, Karnataka, India
| |
Collapse
|