ReviewRSC advances2022
Gold nanoparticle-based optical nanosensors for food and health safety monitoring: recent advances and future perspectives.
Review in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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Who cites it
15 citing papers in PubMed.
- Smart Chemical Sensors for Monitoring and Detection of Spoilage in Fermented and Non-Fermented Food Products.Sensors (Basel, Switzerland) · 2026Review
- Utilization of nanosensors and nanomaterials to revolutionize the food industry: boosting product safety, quality, and sustainability.RSC advances · 2026Review
- Innovative and sustainable synthesis of biogenic gold nanoparticles for cholesterol detection: gelatine role in enhanced stability and catalytic activity.RSC advances · 2025Article
- Noble metal/metal-organic framework nanoparticle-based electrochemical sensors for evaluating fish quality: a comprehensive review.RSC advances · 2025Review
- Integrating computational insights in gold nanoparticle-mediated drug delivery: enhancing efficacy and precision.Frontiers in medical technology · 2025Review
- Gold Nanoparticles in Nanomedicine: Unique Properties and Therapeutic Potential.Nanomaterials (Basel, Switzerland) · 2024Review
- Plastic Analysis with a Plasmonic Nano-Gold Sensor Coated with Plastic-Binding Peptides.Journal of xenobiotics · 2024Article
- A nanogold sensor test for tire wear chemicals based on the plasmon ruler approach.Mikrochimica acta · 2024Article
- Article
- Tunable-wavelength nanosecond laser tailoring of plasmon resonance spectra of gold nanoparticle colloids.Nanoscale advances · 2023Article
- Updates on the Biofunctionalization of Gold Nanoparticles for the Rapid and Sensitive Multiplatform Diagnosis of SARS-CoV-2 Virus and Its Proteins: From Computational Models to Validation in Human Samples.International journal of molecular sciences · 2023Review
- Fully Aqueous Self-Assembly of a Gold-Nanoparticle-Based Pathogen Sensor.International journal of molecular sciences · 2023Article
- Femtosecond laser patterned silicon embedded with gold nanostars as a hybrid SERS substrate for pesticide detection.RSC advances · 2023Article
- Nanotechnology meets immunology towards a rapid diagnosis solution: the COVID-19 outbreak challenge.RSC advances · 2022Article
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern society has been facing serious health-related problems including food safety, diseases and illness. Hence, it is urgent to develop analysis methods for the detection and control of food contaminants, disease biomarkers and pathogens. As the traditional instrumental methods have several disadvantages, including being time consuming, and having high cost and laborious procedures, optical nanosensors have emerged as promising alternative or complementary approaches to those traditional ones. With the advantages of simple preparation, high surface-to-volume ratio, excellent biocompatibility, and especially, unique optical properties, gold nanoparticles (AuNPs) have been demonstrated as excellent transducers for optical sensing systems. Herein, we provide an overview of the synthesis of AuNPs and their excellent optical properties that are ideal for the development of optical nanosensors based on local surface plasmon resonance (LSPR), colorimetry, fluorescence resonance energy transfer (FRET), and surface-enhanced Raman scattering (SERS) phenomena. We also review the sensing strategies and their mechanisms, as well as summarizing the recent advances in the monitoring of food contaminants, disease biomarkers and pathogens using developed AuNP-based optical nanosensors in the past seven years (2015-now). Furthermore, trends and challenges in the application of these nanosensors in the determination of those analytes are discussed to suggest possible directions for future developments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.