Application of Biomimetic Nanomaterials in Biological Detection and the Intelligent Recognition Method of Nanoparticle Images

被引:1
作者
He, Ying [1 ]
机构
[1] Tianjin Univ, Renai Coll, Tianjin 300456, Peoples R China
关键词
Gold-Silver Nanoclusters; Fluorescence Analysis; Metal Ion Detection; TEM Particle Image; Watershed Segmentation;
D O I
10.1166/jno.2021.2904
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
New nanomaterials (metal nanoclusters, graphene, etc.) are favored by researchers due to their unique properties and are widely used in biomedical detection. The excellent fluorescence characteristics of gold nanoclusters are utilized to develop a fast and highly sensitive bionic nanomaterial with non-label and dual functions, which can detect silver ions and mercury ions and study the particularity of TEM nanoparticle images. The particle segmentation of TEM nanoparticle images is studied to compare the traditional watershed algorithm and watershed transformation algorithm. The experiment results show that silver ions can enhance the fluorescence of gold nanoclusters to form gold-silver nanoclusters with strong yellow fluorescence, and mercury ions can quickly weaken the fluorescence of gold-silver nanoclusters. Based on the biomimetic nanomaterials, a dual-function fluorescent probe is designed to detect silver ions and mercury ions in lake with detection accuracy of 8 nM and 33 nM respectively; the sensing excitation of the fluorescent probe is further analyzed. Because the metal-enhanced fluorescence (MEF) effect enables the silver IP: 111 93 14 78 On: Fri 19 Ma 2021 06:12:00 element and Au nanoparticles to form fluorescence-ehancig effect, the high metalphilic interaction between Copyright: American Scientific Pub ishers mercury ions and silver ions quenches the fluorescence effect of gold nanocluster; the rapid watershed transDelivered by Ingenta formation/region fusion method can achieve better particle image segmentation combined with the image segmentation algorithms of different TEM nanoparticles, which can be better applied to the characterization analysis of the preparation of gold nanomaterials. Keywords: Gold-Silver Nanoclusters, Fluorescence Analysis, Metal Ion Detection, TEM Particle Image, Watershed New nanomaterials (metal nanoclusters, graphene, etc.) are favored by researchers due to their unique properties and are widely used in biomedical detection. The excellent fluorescence characteristics of gold nanoclusters are utilized to develop a fast and highly sensitive bionic nanomaterial with non-label and dual functions, which can detect silver ions and mercury ions and study the particularity of TEM nanoparticle images. The particle segmentation of TEM nanoparticle images is studied to compare the traditional watershed algorithm and watershed transformation algorithm. The experiment results show that silver ions can enhance the fluorescence of gold nanoclusters to form gold-silver nanoclusters with strong yellow fluorescence, and mercury ions can quickly weaken the fluorescence of gold-silver nanoclusters. Based on the biomimetic nanomaterials, a dual-function fluorescent probe is designed to detect silver ions and mercury ions in lake with detection accuracy of 8 nM and 33 nM respectively; the sensing excitation of the fluorescent probe is further analyzed. Because the metal-enhanced fluorescence (MEF) effect enables the silver IP: 111 93 14 78 On: Fri 19 Ma 2021 06:12:00 element and Au nanoparticles to form fluorescence-ehancig effect, the high metalphilic interaction between Copyright: American Scientific Pub ishers mercury ions and silver ions quenches the fluorescence effect of gold nanocluster; the rapid watershed trans Delivered by Ingenta formation/region fusion method can achieve better particle image segmentation combined with the image segmentation algorithms of different TEM nanoparticles, which can be better applied to the characterization analysis of the preparation of gold nanomaterials.
引用
收藏
页码:23 / 30
页数:8
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