{"title":"绿色合成的花状银纳米颗粒作为早产儿母乳中蛋白质定量的比色生物传感器","authors":"Chonlapat Panthong , Chiravoot Pechyen , Benchamaporn Tangnorawich , Natthapon Nakpathomkun , Sudathip Kositamongkol","doi":"10.1016/j.sbsr.2025.100820","DOIUrl":null,"url":null,"abstract":"<div><div>This study utilized a biosensor developed through green synthesis employing flower-shaped starch-based nanostructures for the detection of protein in breast milk. The objectives included the green synthesis of flower-shaped nanoparticles using a colorimetric sensor approach to quantify the protein levels in breast milk. Cornstarch was used as a reducing agent to synthesize silver nanoparticles (AgNPs). The nanoparticles were characterized using several analytical techniques, including UV–visible spectrophotometry (UV–vis), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Transmission Electron Microscopy (TEM), and Raman Spectroscopy. The colorimetric detection involved observing the interactions between AgNPs and proteins under UV light stimulation at a wavelength of 280 nm. The reaction produced a visible color change, ranging from blue to purple, depending on the protein concentration. This method enabled the detection of protein levels in breast milk within the range of 3.4–21.77 g/L, demonstrating a high correlation value of 0.9847. This research highlights the potential of utilizing corn starch in green nanoparticle synthesis and emphasizes the application of AgNPs in developing sensitive biosensing platforms for breast milk protein detection.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"49 ","pages":"Article 100820"},"PeriodicalIF":4.9000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Green-synthesized flower-shaped silver nanoparticles as a colorimetric biosensor for protein quantification in preterm breast milk\",\"authors\":\"Chonlapat Panthong , Chiravoot Pechyen , Benchamaporn Tangnorawich , Natthapon Nakpathomkun , Sudathip Kositamongkol\",\"doi\":\"10.1016/j.sbsr.2025.100820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study utilized a biosensor developed through green synthesis employing flower-shaped starch-based nanostructures for the detection of protein in breast milk. The objectives included the green synthesis of flower-shaped nanoparticles using a colorimetric sensor approach to quantify the protein levels in breast milk. Cornstarch was used as a reducing agent to synthesize silver nanoparticles (AgNPs). The nanoparticles were characterized using several analytical techniques, including UV–visible spectrophotometry (UV–vis), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Transmission Electron Microscopy (TEM), and Raman Spectroscopy. The colorimetric detection involved observing the interactions between AgNPs and proteins under UV light stimulation at a wavelength of 280 nm. The reaction produced a visible color change, ranging from blue to purple, depending on the protein concentration. This method enabled the detection of protein levels in breast milk within the range of 3.4–21.77 g/L, demonstrating a high correlation value of 0.9847. This research highlights the potential of utilizing corn starch in green nanoparticle synthesis and emphasizes the application of AgNPs in developing sensitive biosensing platforms for breast milk protein detection.</div></div>\",\"PeriodicalId\":424,\"journal\":{\"name\":\"Sensing and Bio-Sensing Research\",\"volume\":\"49 \",\"pages\":\"Article 100820\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sensing and Bio-Sensing Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214180425000868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensing and Bio-Sensing Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214180425000868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Green-synthesized flower-shaped silver nanoparticles as a colorimetric biosensor for protein quantification in preterm breast milk
This study utilized a biosensor developed through green synthesis employing flower-shaped starch-based nanostructures for the detection of protein in breast milk. The objectives included the green synthesis of flower-shaped nanoparticles using a colorimetric sensor approach to quantify the protein levels in breast milk. Cornstarch was used as a reducing agent to synthesize silver nanoparticles (AgNPs). The nanoparticles were characterized using several analytical techniques, including UV–visible spectrophotometry (UV–vis), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Transmission Electron Microscopy (TEM), and Raman Spectroscopy. The colorimetric detection involved observing the interactions between AgNPs and proteins under UV light stimulation at a wavelength of 280 nm. The reaction produced a visible color change, ranging from blue to purple, depending on the protein concentration. This method enabled the detection of protein levels in breast milk within the range of 3.4–21.77 g/L, demonstrating a high correlation value of 0.9847. This research highlights the potential of utilizing corn starch in green nanoparticle synthesis and emphasizes the application of AgNPs in developing sensitive biosensing platforms for breast milk protein detection.
期刊介绍:
Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies.
The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.