Raman spectrum detection method of phenylalanine enantiomer

A technology of Raman spectrum detection and phenylalanine, which is applied in the field of spectral analysis and chiral recognition, can solve the problems of inability to distinguish enantiomers and achieve good accuracy

Pending Publication Date: 2021-11-02
SHANGHAI NORMAL UNIVERSITY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most gold and silver substrates still cann

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Raman spectrum detection method of phenylalanine enantiomer
  • Raman spectrum detection method of phenylalanine enantiomer
  • Raman spectrum detection method of phenylalanine enantiomer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] 1) Preparation of gold seed solution: HAuCl 4 The solution was mixed with a cetyltrimethylammonium bromide (CTAB) solution, and a freshly prepared sodium borohydride solution was added, stirred rapidly for 2 minutes, and left to stand at 30°C for 2 hours to obtain a gold seed solution;

[0029] 2) Preparation of gold growth solution: add HAuCl in CTAB solution sequentially 4 , AgNO 3 And freshly configured ascorbic acid solution, the solution turns from bright yellow to colorless and transparent;

[0030] 3) Preparation of gold nanorods: adding the above gold seed solution into the gold growth solution, reacting at room temperature for 24 hours, centrifuging, and then dispersing the obtained precipitate in water to obtain gold nanorods;

[0031] 4) Preparation of Au / Ag nanorods: Add CTAB to the above gold nanorod dispersion solution and mix evenly, then add 10 μL AgNO 3 solution (100mmol / L) and the corresponding fourfold volume of ascorbic acid solution (100mmol / L), ...

Embodiment 2

[0039] D-Phe or L-Phe solution (concentration is 6.7×10 -6 mol / L) was dropped on a flat aluminum foil, and then the Raman spectrum was measured on a Raman spectrometer equipped with a 785nm laser, and it was found that the characteristic Raman scattering signal of D-Phe or L-Phe could not be detected.

Embodiment 3

[0041] This embodiment is basically the same as embodiment 1, but in step 4) AgNO 3 The volume of the solution (100 mmol / L) was 0 μL (ie to prepare gold nanorods), and it was found that the Raman scattering signal of D-Phe or L-Phe could not be detected by using gold nanorods alone.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a Raman spectrum detection method for phenylalanine enantiomers, and belongs to the field of spectral analysis and chiral recognition. The detection method comprises the following steps: taking a gold-silver nano composite material as a surface enhanced Raman scattering substrate, taking chiral sertraline hydrochloride as a chiral selective Raman signal amplifier, adsorbing phenylalanine on the surface of the substrate, and performing chiral selective interaction with the chiral sertraline hydrochloride on the surface of the gold-silver nano composite material, and then, measuring Raman scattering signals of phenylalanine, wherein the Raman scattering signals with the high enhancement multiple are D-phenylalanine, and otherwise, the Raman scattering signals are L-phenylalanine. The Raman scattering signal of phenylalanine is enhanced through interaction between chiral molecules, detection and distinguishing of phenylalanine enantiomers are achieved according to Raman spectrum differences, and the method is simple, sensitive and good in accuracy.

Description

technical field [0001] The invention belongs to the field of spectrum analysis and chiral recognition, and in particular relates to a Raman spectrum detection method of phenylalanine enantiomer. Background technique [0002] Chirality refers to the phenomenon that an object and its mirror image cannot overlap each other. A pair of chiral molecules whose three-dimensional molecular structures are mirror images and cannot overlap are called enantiomers. They have the same chemical formula and other physical and chemical properties, so it is difficult to be distinguished. However, the two have different physiological activities or medicinal effects. For example, amino acids in the human body almost exist as L-enantiomers, while D-enantiomers may be associated with some diseases; one enantiomer of many drug molecules One body has a good therapeutic effect, while another may exhibit significant side effects. Therefore, it is of great significance to develop methods to detect an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01N21/65G01N21/01
CPCG01N21/658G01N21/01
Inventor 刘新玲何燕秀杨海峰
Owner SHANGHAI NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap