Evidence map›Paper›PMID 42794006›Full record

ArticleFoods (Basel, Switzerland)2026

Matrix-Guided Size Selection of Plasmonic Nanoprobes for Improving Quantitative Robustness of SERS Lateral Flow Immunoassays.

Haowei Liu, Hao Wang, Shuo Zhang, Guoqiang Li, Xi Yu, Shengqi Yan, Limin Cao

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Haowei LiuSchool of Medicine and Pharmacy, Ocean University of China, Qingdao 266005, China.
Hao WangState Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, 1299 Sansha Rd., Qingdao 266100, China.
Shuo ZhangState Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, 1299 Sansha Rd., Qingdao 266100, China.
Guoqiang LiState Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, 1299 Sansha Rd., Qingdao 266100, China.
Xi YuState Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, 1299 Sansha Rd., Qingdao 266100, China.
Shengqi YanState Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, 1299 Sansha Rd., Qingdao 266100, China.
Limin CaoState Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, 1299 Sansha Rd., Qingdao 266100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-enhanced Raman scattering-based lateral flow immunoassays (SERS-LFIAs) have emerged as a promising platform for rapid food safety analysis. However, their quantitative reliability is often compromised by matrix-dependent variations during lateral flow, and the influence of probe size on analytical performance remains insufficiently understood. In this work, Au@DTNB immunoprobes with diameters of 15, 30, and 50 nm were prepared to systematically investigate the effect of nanoparticle size on the quantitative performance of SERS-LFIA for aflatoxin B1 (AFB1) detection. All three probe sizes exhibited excellent concentration-dependent responses and generated four-parameter logistic calibration curves with correlation coefficients (R2) of 0.997, 0.994, and 0.992, respectively. Although the 50 nm probes produced the strongest Raman signals, recovery experiments in rice and soybean samples revealed that the 15 nm probes provided the highest quantitative accuracy, with recoveries of 90.1-109.2% and 100.4-108.9%, respectively, and relative standard deviations below 7.2%. In contrast, larger probes exhibited progressively greater deviations from the spiked concentrations despite their stronger SERS responses. These results demonstrate that maximizing Raman signal intensity alone does not necessarily improve quantitative performance in complex food matrices. Instead, probe size should be optimized according to matrix characteristics to achieve reliable quantitative analysis. This work establishes a matrix-oriented strategy for probe size selection and provides practical guidance for the rational design of quantitative SERS-LFIA platforms for food safety analysis.

Indexed as

aflatoxin B1food safetygold nanoparticlesprobe sizeSERS-LFIA

Identifiers

PMID42794006
PMCPMC13605682

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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.