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中国精品科技期刊2020
贾俊杰,张宿义,许涛,等. 基于银纳米三角片蚀刻机制区分不同产地浓香型白酒[J]. 食品工业科技,2024,45(10):254−262. doi: 10.13386/j.issn1002-0306.2023070018.
引用本文: 贾俊杰,张宿义,许涛,等. 基于银纳米三角片蚀刻机制区分不同产地浓香型白酒[J]. 食品工业科技,2024,45(10):254−262. doi: 10.13386/j.issn1002-0306.2023070018.
JIA Junjie, ZHANG Suyi, XU Tao, et al. Discrimination of Strong Aroma-type Baijiu of Different Origins Based on Ag Nanoprism Etching Mechanism[J]. Science and Technology of Food Industry, 2024, 45(10): 254−262. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023070018.
Citation: JIA Junjie, ZHANG Suyi, XU Tao, et al. Discrimination of Strong Aroma-type Baijiu of Different Origins Based on Ag Nanoprism Etching Mechanism[J]. Science and Technology of Food Industry, 2024, 45(10): 254−262. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023070018.

基于银纳米三角片蚀刻机制区分不同产地浓香型白酒

Discrimination of Strong Aroma-type Baijiu of Different Origins Based on Ag Nanoprism Etching Mechanism

  • 摘要: 区分不同产地白酒对于产品质量控制和原产地保护具有重要意义。本研究以四种不同形貌大小的银纳米三角片(Ag nanoprism,AgNPRs)作为传感材料,两种金属离子和一种氧化阴离子作为氧化蚀刻剂,基于AgNPRs蚀刻机制构建了一种4×3传感阵列,将该阵列对四川、江淮和北方三大产地共41款代表性浓香型白酒样品进行比色响应,所获得的比色信号值通过线性判别分析(linear discriminant analysis,LDA)进行判别分析,并进一步选取了部分未知样品对判别模型进行了外部验证。比色响应机制研究结果表明,白酒样品对AgNPRs的蚀刻效应起促进作用,这可能与白酒中含有不同的有机酸有关。对不同产地样品的区分结果显示,单一阵列对不同产地样品的区分效果相对较低,三种阵列组合后的区分效果明显提高,对41个样品的产地判别率可达99%,对15个未知浓香型酒样的产地判别率可达98%。采用组合阵列对四川产地5种品牌21个样品和江淮产地3种品牌13个样品判别率分别可达99%和100%,采用单一阵列对四川各厂家不同等级产品的判别率均可达100%。本研究采用的纳米比色传感方法简便快速,不仅可用于产品鉴别和防伪,也可辅助用于生产过程质量监控,为白酒质量智能化监控奠定研究基础。

     

    Abstract: Discriminating strong aroma-type Baijiu (SAB) of different origins was significant for product quality control and origin protection. In this study, a 4×3 sensor array was constructed based on the Ag nanoprism (AgNPR) etching mechanism, in which four AgNPRs varying in shape and size were used as sensing materials, and two metal ions and one oxide anion were used as oxidation etchants. With this array, colorimetric reaction was conducted on 41 representative SAB samples from Sichuan, Jianghuai and North China. The obtained colorimetric signal values were subjected to linear discriminant analysis (LDA). Furthermore, some samples of unknown origin were selected to perform external validation on the discrimination model. Based on the results of colorimetric reaction mechanism, the samples could promote the etching effect of AgNPRs, which might be related to various organic acids contained in Baijiu. Sample discrimination showed that single array produced a comparatively low effect on samples of different origins. The combination of three arrays significantly improved the discrimination effect, whose rate of origin discrimination was up to 99% for 41 samples, and was up to 98% for 15 unknown samples. With combined array, the discriminant rates of 21 samples from 5 brands in Sichuan and 13 samples from 3 brands in Jianghuai could reach 99% and 100%, respectively, while all the discriminant rates could reach 100% for different grades of products from various manufacturers in Sichuan with single array. Being simple and fast, the nanocolorimetric sensing method adopted in this study is not only applicable to product identification and anti-counterfeiting, but also be auxiliarily used for quality control in production process, laying a research foundation for intelligent quality monitoring of Baijiu.

     

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