Nanoarchitectonics of photothermal materials to enhance the sensitivity of lateral flow assays

• Elangovan Sarathkumar,
• Rajasekharan S. Anjana and
• Ramapurath S. Jayasree

Beilstein J. Nanotechnol. 2023, 14, 988–1003, doi:10.3762/bjnano.14.82

• the aggregation pattern of nanomaterials, and extrinsic factors, including surrounding medium, medium viscosity, and concentration of the nanomaterial. Most often, nanomaterials with complex three-dimensional structures have better optical and physicochemical properties for the use in colorimetry

A graphene quantum dots–glassy carbon electrode-based electrochemical sensor for monitoring malathion

• Sanju Tanwar,
• Aditi Sharma and
• Dhirendra Mathur

Beilstein J. Nanotechnol. 2023, 14, 701–710, doi:10.3762/bjnano.14.56

• insecticide is malathion, which kills insects such as fleas and ants that attack plants. Malathion has been detected so far using chromatography [4][5], colorimetry [6], and mass spectrometry [7], although these methods are complicated and time-consuming and require expensive equipment with specialized

Mixed oxides with corundum-type structure obtained from recycling can seals as paint pigments: color stability

• Dienifer F. L. Horsth,
• Julia de O. Primo,
• Nayara Balaba,
• Fauze J. Anaissi and
• Carla Bittencourt

Beilstein J. Nanotechnol. 2023, 14, 467–477, doi:10.3762/bjnano.14.37

• . Keywords: circular economy; colorimetry; sustainability; Introduction The growing interest in industrial products that do not harm the environment triggered the development of diverse strategies to optimize recycling and green syntheses of materials. It is possible to combine economic and environmental

• ), responsible for the coloring of the hematite phase and confirming the phase indexed in X-ray diffractogram [1][30]. It has been observed that the bands tend to become more prominent as the amount of coloring ions increases for both iron and chromium (see Supporting Information File 1, Figure S3). Colorimetry

• band from 600 nm. Reflection bands become more pronounced and defined with increasing colorant ion concentration (Figure S4, Supporting Information File 1). Pigment application Colorimetry The colorimetric parameters of the samples after dispersion in commercial white paint and application on plaster

An iridescent film of porous anodic aluminum oxide with alternatingly electrodeposited Cu and SiO₂ nanoparticles

• Menglei Chang,
• Huawen Hu,
• Haiyan Quan,
• Hongyang Wei,
• Zhangyi Xiong,
• Jiacong Lu,
• Pin Luo,
• Yaoheng Liang,
• Jianzhen Ou and
• Dongchu Chen

Beilstein J. Nanotechnol. 2019, 10, 735–745, doi:10.3762/bjnano.10.73

• increase with the increase of the electrodeposition times corresponding to the samples S1 to S3, but decrease again for sample S4. To further validate the color difference of the samples, the chromatic difference was analyzed according to the spectrophotometric colorimetry in the standard GB/T3979-2008

• S3 possesses the best anti-corrosion performance. Conclusion This paper has presented the preparation of a series of Cu–SiO2 NPs on a porous AAO film matrix by means of an alternating electrodeposition. As evidenced by SEM, XRD, EDS mapping, colorimetry, and electrochemical tests, both Cu and SiO2

Microwave solvothermal synthesis and characterization of manganese-doped ZnO nanoparticles

• Jacek Wojnarowicz,
• Roman Mukhovskyi,
• Elzbieta Pietrzykowska,
• Sylwia Kusnieruk,
• Jan Mizeracki and
• Witold Lojkowski

Beilstein J. Nanotechnol. 2016, 7, 721–732, doi:10.3762/bjnano.7.64

• efficiency of Zn1−xMnxO NPs. The chemical composition analysis was carried out by three methods: ICP-OES, colorimetry and X-ray microanalysis. The most often used methods in the relevant literature are ICP-OES and X-ray microanalysis. All the employed methods provided mutually different results (Table 4

In situ observation of biotite (001) surface dissolution at pH 1 and 9.5 by advanced optical microscopy

• Chiara Cappelli,
• Daniel Lamarca-Irisarri,
• Jordi Camas,
• F. Javier Huertas and
• Alexander E. S. Van Driessche

Beilstein J. Nanotechnol. 2015, 6, 665–673, doi:10.3762/bjnano.6.67

• time of 9.6 s. Solution analysis The chemical composition of the input and output solutions of the basic pH experiment was determined. Si concentration was determined by colorimetry, using the molybdate blue method [52] with a UV–vis spectrophotometer (Perkin Elmer Lambda 25). The detection limit was 5

• determined by ion chromatography using a Methrohm 883 Basic IC plus with a Metrosep C3 column. The detection limit and the uncertainty were 0.5 ppb and 3%, respectively. Fe concentration was determined by colorimetry, measuring the absorption of the red complex that Fe(II) forms with 1,10-phenanthroline [54