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Journal of Food Measurement and Characterization · 2021 ·Vol. 15 ·期 2 ·1747-1753 · IF 2.431

Colorimetric detection of putrescine and cadaverine in aquatic products based on the mimic enzyme of (Fe,Co) codoped carbon dots

Li Yi-Fang,Lin Zheng-Zhong,Hong Cheng-Yi,Huang Zhi-Yong

A facile colorimetric method for rapid detection of putrescine (Put) and cadaverine (Cad) based on the peroxidase-like activity of (Fe,Co) codoped-CDs was developed. With the enzymatic hydrolysis by diamine oxidase (EC 1.4.3.6, DAO), Biogenic amines (BAs) were decomposed to produce H 2 O 2 which oxidizes 3,3',5,5'-tetramethyl-benzidine with the catalysis of (Fe,Co)-codoped CDs. By means of principal component analysis, Put and Cad were differentiated from BAs and their total amounts were detected by measuring the spectral absorption at 652 nm with a linear range from 0.25 to 10 mg kg −1 . The colorimetric method was applied to the detection of Put and Cad in various fish samples with a detection limit ((3σ/k, n = 9)) of 0.06 mg kg −1 . Besides verifying with HPLC, the recoveries of the colorimetric method were also tested by spiking standards at three levels with the range of 98.2%–115.7%, indicating that the established colorimetric method was accurate and sensitive.

研究领域: 食品科学 · 生物化学 · 分析化学
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BIOSENSORS & BIOELECTRONICS · 2017 · IF 7.78

Point-of-care testing for streptomycin based on aptamer recognizing and digital image colorimetry by smartphone

Bixia Lin,Ying Yu,Yujuan Cao,Manli Guo,Debin Zhu,Jiaxing Dai,Minshi Zheng

s The rapid detection of antibiotic residual in everyday life is very important for food safety. In order to realize the on-site and visual detection of antibiotic, a POCT method was established by using digital image colorimetry based on smartphone. Streptomycin was taken as the analyte model of antibiotics, streptomycin aptamer preferentially recognized analyte, and the excess aptamer hybridized with the complementary DNA to form the dsDNA . SYBR Green I combined with the dsDNA and then emitted obvious green fluorescence, thus the fluorescence intensity decreased with the increasing of streptomycin concentration. Then a smartphone-based device was constructed as the fluorescence readout. The smartphone camera acquired the images of the fluorescence derived from the samples, and the Touch Color APP installed in smartphone read out the RGB values of the images. There was a linear relationship between the G values and the streptomycin concentrations in the range of 0.1–100   µM. The detection limit was 94   nM, which was lower than the maximum residue limit defined by World Health Organization. The POCT method was applied for determining streptomycin in chicken and milk samples with recoveries in 94.1–110%. This method had the advantages of good selectivity , simple operation and on-site visualization.

研究领域: 食品安全 · 生物医学检测 · 分析化学
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ACS Applied Nano Materials · 2018 · IF 0

Dual-Mode Ultrasensitive Detection of Nucleic Acids via an Aqueous “Seesaw” Strategy by Combining Aggregation-Induced Emission and Plasmonic Colorimetry

Jianlei Shen,Yiru Zhang,Rong Hu,Ryan T. K. Kwok,Zhiming Wang,Anjun Qin,Ben Zhong Tang

Development of simple, robust, and reliable nucleic acid detection strategy holds tremendous promise for cancer or pathogen diagnostics. However, in traditional fluorescent assays, tedious chemical labeling and enzyme-based signal amplification are usually required. Developing label-free, enzyme-free nucleic acid detection strategies is of great significance. In this paper, through combining the hybridization chain reaction (HCR) technique with aggregation-induced emission (AIE)-based fluorometric assay and a gold-nanoparticle-based colorimetric assay, we developed a “seesaw” strategy for label-free, enzyme-free visual detection of nucleic acids. Two sets of signals (solution tonality and fluorescence intensity changes) were generated for one test. The limit of detection of single-strand DNA can be as low as 37.2 fM. The proposed seesaw strategy that integrates fluorometric and colorimetric assay holds great potential for the point-of-care testing of nucleic acids.

研究领域: 生物化学 · 分子诊断 · 分析化学
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FOOD CHEMISTRY · 2022 · IF 9.231

Digital image colorimetry in combination with chemometrics for the detection of carbaryl based on the peroxidase-like activity of nanoporphyrins and the etching process of gold nanoparticles

Gaoqiong Deng,Shuo Wang,Hengye Chen,Lixue Ren,Ke Liang,Liuna Wei,Wanjun Long,Jian Yang,Lanping Guo,Xiaole Han,Yuanbin She,Haiyan Fu

Carbaryl is a typical carbamate pesticide that plays an essential role in agricultural production, but its residues cause serious harm to the environment and human health. Here, we developed a polychromatic colorimetric sensor based on ZnTPyP-DTAB peroxidase activity and gold nano-bipyramids (Au NBPs) etching to detect carbaryl. ZnTPyP-DTAB catalyzes the decomposition of H 2 O 2 to hydroxyl radicals, and Au NBPs are etched. The coordination of zinc and nitrogen in nanometer porphyrins was affected by the steric effects of carbaryl, which resulted in decreased activity of ZnTPyP-DTAB peroxidase. The detection limit of carbaryl was 0.26 mg/kg. The recoveries of carbaryl in reaal sample ranged from 91 % to 107% (RSD ≤ 0.7%). The sensor platform displayed a series of high-resolution multicolor variations of rainbow colors within the above concentration range. The rich color variation facilitates the acquisition of digital images. RGB value transformation combined with partial least squares regression model can accurately and quantitatively detect carbaryl in vegetables, fruits and Chinese medicinal materials.

CAS / MDL: 50-81-7 112-02-7
研究领域: 分析化学 · 环境科学 · 食品科学
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SENSORS AND ACTUATORS B-CHEMICAL · 2025 · IF 7.7

Machine learning-driven colorimetric sensing and monitoring of optically-engineered liquid marbles

Yuanhao Xie,Zheng Shen,Jing Jin

Liquid marbles represent a breakthrough class of autonomous microfluidic platforms featuring dynamic self-healing capabilities. Particularly, optically-engineered liquid marbles (OLMs) uniquely integrate microreactor functionality with inherent colorimetric sensing properties, enabling precise fluid manipulation coupled with full optical accessibility. While digital image colorimetry (DIC) can be regarded as an optical sensing modality that offers rapid, instrument-free analysis, its accuracy remains fundamentally constrained in complex multivariate systems due to ambient interference and interfacial artifacts. To address these limitations, we develop a machine learning-enhanced DIC platform leveraging OLMs as optimized sensing cells. Our integrated approach combines convenient OLM fabrication with stable optical properties, multilayer perceptron (MLP)-driven RGB-to-concentration transformation that eliminates physical modeling requirements, and adaptive calibration protocols that robustly compensate for lighting variations. The MLP-DIC sensor system demonstrates significant advantages in precision and versatility, reliably quantifying chemical diffusion profiles across nonplanar interfaces while maintaining accuracy under challenging conditions. Validation through real-time monitoring of coalescence dynamics and evaporative processes confirms exceptional operational stability in biosimulative environments. This work establishes a new paradigm for intelligent micro-reactor or sensor integration, providing high-fidelity, non-invasive chemical tracking with transformative potential for point-of-care diagnostics and combinatorial chemistry platforms.

CAS / MDL: 7758-99-8
研究领域: 生物医学工程 · 微流控技术 · 分子诊断 · 即时检测 · 智能传感器 · 转化医学
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ANALYTICAL SCIENCES · 2024 · IF 1.8

Rapid visual dual-mode detection of Zr(IV) based on l-histidine functionalized gold nanoparticles

Liu Zhili,Yan Yumei,Li Jing,Zhou Wenfeng,Gao Haixiang,Lu Runhua

Heavy metal pollution has always been a great threat to human health and safety. Compared with other heavy metals, although zirconium ion (Zr(IV)) is equally harmful, due to the lack of research on Zr(IV) in the biological systems and environment, its detection does not seem to have received the attention it deserves. Herein, a rapid visual dual-mode detection (colorimetric and chrominance method) of Zr(IV) based on l -histidine functionalized gold nanoparticles (HIS-AuNPs) has been reported. AuNPs and HIS-AuNPs before and after adding Zr(IV) were characterized by UV–Vis, TEM, DLS, Zeta potential, EDS and FT-IR, etc. These results showed that l -histidine was successfully modified on the surface of AuNPs by forming a stable Au–N bond, and its modification had little effect on the dispersion degree of AuNPs. After the addition of Zr(IV), interaction of this metal ion with the imidazolyl group on l -histidine can obviously cause the aggregation of HIS-AuNPs within 12 min, and the dispersion state and particle size of HIS-AuNPs can be significantly changed. These two detection modes were established by means of absorbance and color change of solution, and being used in addition and recovery experiments of Zr(IV) in natural water. Under the optimal conditions, these two modes exhibited good linearity within 15–70 and 20–100 μmol L −1 , and limit of detection of 2.62 and 6.25 μmol L −1 . The proposed method was highly sensitive and selective, which provided a new convenient way to realize the detection of Zr(IV). Graphical abstract

CAS / MDL: 139-33-3 10026-11-6
研究领域: 环境科学 · 分析化学 · 纳米技术
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