Comparison of Enhancement Properties of Different Shapes of Nanosilver Sol Substrates and Its Application in Identification and Quantification of Food-borne Spores

TU Qian-cheng; TIAN Jia-qi; ZHU Yao-di; LI Miao-yun; ZHAO Li-jun; LIU Shi-jie; LIANG Dong

doi:10.12452/j.fxcsxb.24031302

您当前的位置：

首页 >

文章列表页 >

Comparison of Enhancement Properties of Different Shapes of Nanosilver Sol Substrates and Its Application in Identification and Quantification of Food-borne Spores

Scientific Papers | 更新时间：2024-12-13

- Comparison of Enhancement Properties of Different Shapes of Nanosilver Sol Substrates and Its Application in Identification and Quantification of Food-borne Spores
- Journal of Instrumental Analysis Vol. 43, Issue 12, Pages: 1919-1926(2024)
- 作者机构：
  
  1.河南农业大学食品科学技术学院，河南郑州 450000
  2.河南九豫全食品有限公司，河南新乡 453000
- 作者简介：
- 基金信息：
- DOI：10.12452/j.fxcsxb.24031302
  CLC： O657.3;TS201.3
- Published：15 December 2024，
  
  Received：13 March 2024，
  
  Revised：20 May 2024，
- 稿件说明：
移动端阅览
屠前程,田家齐,朱瑶迪,李苗云,赵莉君,刘世杰,梁栋.不同形状纳米银溶胶基底的增强特性比较及其对食源性芽孢的识别和定量研究[J].分析测试学报,2024,43(12):1919-1926.

TU Qian-cheng,TIAN Jia-qi,ZHU Yao-di,LI Miao-yun,ZHAO Li-jun,LIU Shi-jie,LIANG Dong.Comparison of Enhancement Properties of Different Shapes of Nanosilver Sol Substrates and Its Application in Identification and Quantification of Food-borne Spores[J].Journal of Instrumental Analysis,2024,43(12):1919-1926.
屠前程,田家齐,朱瑶迪,李苗云,赵莉君,刘世杰,梁栋.不同形状纳米银溶胶基底的增强特性比较及其对食源性芽孢的识别和定量研究[J].分析测试学报,2024,43(12):1919-1926. DOI： 10.12452/j.fxcsxb.24031302.

TU Qian-cheng,TIAN Jia-qi,ZHU Yao-di,LI Miao-yun,ZHAO Li-jun,LIU Shi-jie,LIANG Dong.Comparison of Enhancement Properties of Different Shapes of Nanosilver Sol Substrates and Its Application in Identification and Quantification of Food-borne Spores[J].Journal of Instrumental Analysis,2024,43(12):1919-1926. DOI： 10.12452/j.fxcsxb.24031302.

摘要

该文制备并考察了3种不同形貌纳米银溶胶基底对枯草芽孢杆菌、蜡样芽孢杆菌和产气荚膜梭菌的的增强效应，并选择增强效果最优的花状纳米银（AgNF）进行表面增强拉曼散射（SERS）分析。结果显示，吡啶二羧酸钙（Ca

-DPA）在3种芽孢拉曼光谱中的出峰强度差异明显，是区别3种食源性芽孢的主要特征峰。基于SERS数据对上述3种芽孢的结构进行解析，并结合聚类分析法和K近邻算法实现了3种芽孢的快速识别。最后，通过构建枯草芽孢杆菌不同浓度对数与其1 537 cm

-1

处SERS峰强度之间线性关系的数字化定量方程，实现了食源性芽孢的快速定量。

Abstract

In this paper，the enhancement effects of three kinds of nano-silver sol substrates with different morphologies on

Bacillus subtilis

，

Bacillus cereus

and

Clostridium perfringens

were prepared and investigated，and the flower-shaped nano-silver （AgNF） with the best enhancement effect was selected for surface enhanced Raman scattering （SERS） analysis. The results showed that the peak intensity of calcium pyridine dicarboxylate （Ca

-DPA） in Raman spectra of three kinds of spores was obviously different，which was the main characteristic peak to distinguish three kinds of food-borne spores. Based on SERS data，the structures of the above three kinds of spores were analyzed，and the rapid identification of the three kinds of spores was realized by combining cluster analysis and K nearest neighbor algorithm. Finally，by constructing the digital quantitative equation of the linear relationship between the logarithm of different concentrations of

Bacillus subtilis

and the SERS peak intensity at 1 537 cm

-1

，the rapid quantification of food-borne spores was realized.

关键词

表面增强拉曼散射食源性芽孢不同形状的银纳米颗粒快速识别数字化定量

Keywords

surface enhanced Raman scatteringfood-borne sporesdifferent shapes AgNPsrapid identificationdigital quantification

references

Cho W I，Chung M S. Food Sci. Biotechnol.，2020，29：1447-1461.

Vidic J，Chaix C，Manzano M，Heyndrickx M. Biosensors，2020，10（3）：15.

Li R W，Yan J T，Feng B，Sun M，Ding C F，Shen H，Zhu J H，Yu S. ACS Appl. Mater. Interfaces，2023，15（15）：18663-18671.

Quintelas C，Mesquita D，Lopes J A，Ferreira E，Sousa C. Int. J. Pharm.，2015，492（1/2）：199-206.

Zhu Y T，Li Z Y，Xie M M，Yan Y L，Zhang T，Wang H X. J. Instrum. Anal.（朱怡亭，李芷瑶，谢茂梅，颜月玲，张桐，王海霞. 分析测试学报），2024，43（1）：138-146.

Jiang L，Hassan M M，Ali S，Li H H，Sheng R，Chen Q S. Trends Food Sci. Technol.，2021，112：225-240.

Chen J G，Xu Y C，Yan H，Zhu Y Z，Wang L，Zhang Y，Lu Y，Xing W L. Lab Chip，2018，18（16）：2441-2452.

Zhao Y W，Zhang Z H，Ning Y，Miao P Q，Li Z，Wang H X. Spectrochim. Acta A，2023，293：122510.

Gabudean A M，Biro D，Astilean S. J. Mol. Struct.，2011，993（1/3）：420-424.

Tian J Q，Li M Y，Zhu Y D，Zhao L J，Liu S J，Liu W J，Jiang P，Zhao G M，Xu L N，Sun L X，Ma Y Y，Liang D. Trans. Chin. Soc. Agric. Eng.（田家齐，李苗云，朱瑶迪，赵莉君，刘世杰，刘惟佳，蒋培，赵改名，徐丽娜，孙灵霞，马阳阳，梁栋. 农业工程学报），2022，38（20）：257-265.

Keleştemur S，Çulha M. Appl. Spectrosc.，2017，71（6）：1180-1188.

Zannotti M，Rossi A，Giovannetti R. Coatings，2020，10（3）：288.

Tian Y R，Liu H M，Chen Y，Zhou C L，Jiang Y，Gu C J，Jiang T，Zhou J. Sens. Actuators B，2019，301：127142.

Breuch R，Klein D，Siefke E，Hebel M，Herbert U，Wickleder C，Kaul P. Talanta，2020，219：121315.

Kumar A，Goia D V. Int. J. Nanomed.，2020：10425-10434.

Mungroo N A，Oliveira G，Neethirajan S. Microchim. Acta，2016，183：697-707.

Chisanga M，Muhamadali H，Ellis D I，Goodacre R. Appl. Spectrosc.，2018，72（7）：987-1000.

Gao W C，Li B，Yao R Z，Li Z P，Wang X W，Dong X L，Qu H，Li Q X，Li N，Chi H，Zhou B，Xia Z P. Anal. Chem.，2017，89（18）：9836-9842.

Christie G，Setlow P. Cell Signalling，2020，74：109729.

Das S，Saxena K，Tinguely J C，Pal A，Wickramasingle N L，Khezri A，Dubey V，Ahmad A，Perumal V，Ahmad R，Wadduwage D N，Ahluwalia B S，Metha D S. ACS Appl. Mater. Interfaces，2023，15（20）：24047-24058.

Kashif M，Majeed M I，Nawaz H，Nawaz H，Rashid N，Abubakar M，Ahmad S，Ali S，Hyat H，Bashir S，Batool F，Akbar S，Anwar M A. Spectrochim. Acta A，2021，261：119989.

Akanny E，Bonhommé A，Commun C，Doleans-Jordheim A，Farre C，Bessueille F，Bourgeois S，Bordes C. J. Raman Spectrosc.，2020，51（4）：619-629.

Liu S J，Zhu Y D，Li M Y，Liu W J，Zhao L J，Ma Y Y，Xu L N，Wang N，Zhao G M，Liang D，Yu Q Y. Food Anal. Methods，2022，15（10）：2810-2820.

Zhu A F，Ali S，Xu Y，Ouyang Q，Wang Z，Wang Z，Chen Q S. Spectrochim. Acta A，2022，270：120814.

Dina N E，Gherman A M R，Colnită A，Marconi D，Sârbu C. Spectrochim. Acta A，2021，247：119149.

An X J，Zhao J，Pei Y，Wang Z W，Liu Y K，Li B，Wei Y N，Wei H Y，Wu Z G，Li J W. J. Instrum. Anal.（安晓洁，赵静，裴媛，王志武，刘艳坤，李波，魏颖娜，魏恒勇，吴振刚，李景武），2023，42（1）：21-28.

Cozar I B，Colniţă A，Szöke-Nagy T，Gherman A M R，Dina N E. Anal. Lett.，2019，52（1）：177-189.

Pacella M. Comput. Ind. Eng.，2018，122：161-169.

Uddin S，Haque I，Lu H，Moni M A，Gide E. Sci. Rep.，2022，12（1）：6256.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Rapid Analysis of Saccharin Sodium in Beverage and Fruit Based on Two dimensional Thin Layer Chromatography Coupled with Surface Enhanced Raman Scattering

Research Progress of Surface Enhanced Raman Scattering Method for Detection of Public Safety Poisons

Related Author

LIANG Dong

LIU Shi-jie

ZHAO Li-jun

TU Qian-cheng

TIAN Jia-qi

ZHU Yao-di

LI Miao-yun

康燕

Related Institution

College of Food Science and Technology，Henan Agricltural University

华东理工大学化学与分子工程学院分析测试中心

中国科学院合肥物质科学研究院健康与医学技术研究所医学物理技术中心

中国科学技术大学研究生院科学岛分院

Address：100 Xianlie Middle Road, Guangzhou Postal code：510070
Tel：020-87684776,37656606 Fax：020-87684776 Email：fxcsxb@china.com
Technical support is provided by Beijing Founder electronics co., LTD 粤ICP备12017312号-3 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰