检索结果-内蒙古大学图书馆

Freshness Identification of Oysters Based on colorimetric sensor array Combined with Image Processing and Visible Near-Infrared Spectroscopy

引用

sensorS 2022年第2期22卷 683-683页

作者： Guan, Binbin Kang, Wencui Jiang, Hao Zhou, Mi Lin, Hao Nantong Food & Drug Supervis & Inspect Ctr Nantong 226400 Peoples R China Jiangsu Univ Sch Food & Biol Engn Zhenjiang 212013 Jiangsu Peoples R China

Volatile organic compounds (VOCs) could be used as an indicator of the freshness of oysters. However, traditional characterization methods for VOCs have some disadvantages, such as having a high instrument cost, cumbersome pretreatment, and being time consuming. In this work, a fast and non-destructive method based on colorimetric sensor array (CSA) and visible near-infrared spectroscopy (VNIRS) was established to identify the freshness of oysters. Firstly, four color-sensitive dyes, which were sensitive to VOCs of oysters, were selected, and they were printed on a silica gel plate to obtain a CSA. Secondly, a charge coupled device (CCD) camera was used to obtain the "before" and "after" image of CSA. Thirdly, VNIS system obtained the reflected spectrum data of the CSA, which can not only obtain the color change information before and after the reaction of the CSA with the VOCs of oysters, but also reflect the changes in the internal structure of color-sensitive materials after the reaction of oysters' VOCs. The pattern recognition results of VNIS data showed that the fresh oysters and stale oysters could be separated directly from the principal component analysis (PCA) score plot, and linear discriminant analysis (LDA) model based on variables selection methods could obtain a good performance for the freshness detection of oysters, and the recognition rate of the calibration set was 100%, while the recognition rate of the prediction set was 97.22%. The result demonstrated that the CSA, combined with VNIRS, showed great potential for VOCS measurement, and this research result provided a fast and nondestructive identification method for the freshness identification of oysters.

关键词： oysters storage time colorimetric sensor array visible near-infrared spectroscopy variable screening

来源：评论

学校读者我要写书评

暂无评论

Investigation of Microbial Fermentation Degree of Pu-Erh Tea Using Deep Learning Coupled colorimetric sensor array via Prediction of Total Polyphenols

引用

CHEMOsensorS 2024年第12期12卷 265-265页

作者： Liu, Min Jiang, Cui Hassan, Md Mehedi Zhang, Xinru Wang, Runxian Cao, Renyong Sheng, Wei Li, Huanhuan Jiangsu Vocat Coll Agr & Forestry Coll Tea & Food Sci & Technol Zhenjiang 212400 Peoples R China Jiangsu Univ Coll Food & Biol Engn Zhenjiang 212013 Peoples R China

The degree of tea fermentation is crucial as it ultimately indicates the quality of the tea. Hence, this study developed a total polyphenol prediction system for Pu-erh tea liquid using eight porphyrin dyes and one pH dye in a printed colorimetric sensor array (CSA) coupled with a convolutional neural network (CNN) during microbial fermentation. Firstly, the Box-Behnken sampling method was applied to optimize the degree of microbial fermentation of Pu-erh tea liquid using the response surface methodology. Under optimized conditions, the polyphenol degradation rate reached up to 66.146%. CSA images were then collected from the volatile compounds of Pu-erh tea-reacted CSA sensors. Subsequently, six chemometric approaches were comparatively investigated, and CNN achieved the best results for predicting total polyphenol content. Therefore, the results suggest that the proposed approach can be used to predict the degree of fermentation by measuring total polyphenols in microbial-fermented Pu-erh tea liquid.

关键词： Pu-erh tea microbial fermentation optimization colorimetric sensor array convolutional neural network

来源：评论

学校读者我要写书评

暂无评论

Prediction of the Property of colorimetric sensor array Based on Density Functional Theory

引用

sensorS AND MATERIALS 2019年第10期31卷 3067-3073页

作者： Gu, Haiyang Huang, Xingyi Chen, Quansheng Sun, Yanhui Tan, Chin Ping Wei, ZhaoJun Lv, Riqin Chuzhou Univ Sch Bio & Food Engn Chuzhou 239000 Peoples R China Jiangsu Univ Sch Food & Biol Engn Zhenjiang 212013 Jiangsu Peoples R China Hefei Univ Technol Sch Food Sci & Engn Hefei 230000 Anhui Peoples R China Univ Putra Malaysia Fac Food Sci & Technol Dept Food Technol Serdang 43400 Malaysia

The importance of a rapid, sensitive, and selective colorimetric sensor array (CSA) for the discrimination of a wide range of food quality attributes has been recognized in the food industry. Here, the density functional theory (DFT) method at the B3LYP/LANL2DZ level was used to analyze the molecular reactions between a CSA and volatile organic compounds (VOCs). The energy gaps for iron phthalocyanine (FePc) binding to VOCs show that FePc-O-2 and FePc-N-2 have relatively smaller energy gaps;this causes the process of FePc binding to O-2 and N-2 through more than one pathway. Because of the binding energy, FePc is sensitive to N-2, followed by trimethylamine, propane, and acetone, whereas H2S, ethanol, and ethyl acetate may not be sensitive to FePc. We suggest that the DFT-based method is useful for the theoretical design of CSAs and perhaps other sensors containing metal phthalocyanine.

关键词： colorimetric sensor array density functional theory volatile organic compounds sensor design

来源：评论

学校读者我要写书评

暂无评论

A paper-based colorimetric sensor array for discrimination of monofloral European honeys based on gold nanoparticles and chemometrics data analysis

引用

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021年 247卷 119076-119076页

作者： Chaharlangi, Mahsa Tashkhourian, Javad Bordbar, Mohammad Mahdi Brendel, Rebecca Weller, Philipp Hemmateenejad, Bahram Shiraz Univ Chem Dept Shiraz 71454 Iran Mannheim Univ Appl Sci Inst Instrumental Analyt & Bioanalyt D-68163 Mannheim Germany Univ Technol Braunschweig Inst Med & Pharmaceut Chem Braunschweig Germany

A sensitive and simple nanomaterial based colorimetric sensor array (NBCSA) was developed for discrimination of monofloral honey from various European countries based on three botanical origins as Acacia, Canola and Honeydew. The NBCSA was designed by spotting gold (AuNPs) and silver (AgNPs) nanoparticles synthesized using six different reducing and/or capping agents. The colour intensity of AuNPs represented differential changes when interacting with volatile organic compounds appeared in the headspace of the honey samples. The color difference maps, which are calculated as the difference between color intensity of the sensor before and after exposing to the sample vapors, were used as a fingerprint to discriminate the honey samples based on botanical origin. Classification was achieved utilizing data pre-processing and chemometrics data analysis. Fitting accuracies of 88% and 86% were obtained by partial least squares discriminant analysis and linear discriminant analysis whereas 100% was achieved using support vector machine. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Gold nanoparticles colorimetric sensor array Honey Discrimination Botanical origin

来源：评论

学校读者我要写书评

暂无评论

Inkjet-printed colorimetric sensor array for the rapid identification of adulterated Fritillariae cirrhosae bulbus

引用

sensorS AND ACTUATORS B-CHEMICAL 2022年第0期368卷

作者： Li, Liangli Yang, Maohua Zhang, Mei Jia, Mingyan Chengdu Univ Tradit Chinese Med Sch Pharm State Key Lab Southwestern Chinese Med Resources Chengdu 611137 Peoples R China

As an important antitussive and expectorant herbal medicine, Fritillariae cirrhosae bulbus (FCB) is rare and expensive, leading to massive adulterations in the market. Herein, we report a solid colorimetric sensor array (CSA) method for the rapid identification of FCB and its adulterations. This CSA was fabricated by printing nine pH indicators on a mixed cellulose ester membrane via a commercially available inkjet printer filled with polyethylene glycol-containing ink. This CSA displayed color changes to various analytes, as their solution of varied pH values triggers chemical reactions with the nine pH indicators (and other potential interactions). The digital database of these colorimetric response patterns was collected automatically using a homemade program. The outstanding identification capability of the CSA was confirmed via the analysis of 1,2-diols and catechols. The principal component analysis result demonstrated that this CSA could distinguish pure FCB powder from its six common adulterations. The linear discriminant analysis models were established for the qualitative identification of adulterated FCB samples with 89.58 %-100 % accuracy. Furthermore, partial least squares regression models were developed for the quantitation of adulterant percentages with correlation coefficients higher than 0.87. We expect that the inkjet-printed CSA provided an effective on-site screening method for identifying adulterated FCB.

关键词： Inkjet printing colorimetric sensor array Fritillariae cirrhosae bulbus Adulterations Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Tuning nanozyme property of Co@NC via V doping to construct colorimetric sensor array for quantifying and discriminating antioxidant phenolic compounds

引用

BIOsensorS & BIOELECTRONICS 2022年 215卷 114567页

作者： Lu, Yuwan Zhang, Xiaodan Huang, Yuming Southwest Univ Minist Educ Coll Chem & Chem Engn Key Lab Luminescence Anal & Mol Sensing Chongqing 400715 Peoples R China

Through V2O5 etching of ZIF-67 and subsequent pyrolysis in an argon flow, the V doped Co@NC (V/Co@NC) with mixed-valence Co(II)/Co(III) and V(III)/V(IV) was successfully obtained. V doping plays an important role in regulating the enzyme-like activity of Co@NC. Specifically, the Co@NC has both oxidase-like activity and peroxidase-mimic activity, while the V/Co@NC possesses the specific oxidase-like activity. Benefiting from the elevated Co2+level due to electrons transfer from the reduced V(III) to Co3+and recyclable redox reactions between the Co(III)/Co(II) and V(IV)/V(III) couples, the V/Co@NC displays 4-fold increase in the oxidase-like activity, smaller Km (0.18 mM) and larger Vmax (4.01 x108 M s1) toward TMB relative to Co@NC. The origin of V/Co@NC as oxidase mimic is likely attributed to the generation of 1O2 and center dot OH. Different phenolic compounds (PC), like gallic acid, kaempferol, caffeic acid, quercetin, and catechin, have distinct antioxidant capacity, showing a differential inhibiting effect on the V/Co@NC-TMB system. The different PC antioxidants in the V/Co@NC-TMB system lead to unique decrease in the absorbance at 652 nm (A652), resulting in a unique absorbance signal response mode. By choosing different combinations of A652 signals at various time points, multichannel information can be extracted from a single nanozyme for pattern recognition. Based on this, a colorimetric array sensing platform for the identification of PC is established successfully. Furthermore, the constructed sensor array can be used for quantifying and discriminating multiple PC antioxidant

关键词： Oxidase-mimicking nanozyme V doping of Co@NC Antioxidant colorimetric sensor array Linear discriminant analysis Phenolic compounds

来源：评论

学校读者我要写书评

暂无评论

Cu2Cl(OH)3 nanozyme-based colorimetric sensor array for phosphates discrimination and disease identification

引用

TALANTA 2024年 280卷 126724页

作者： Shi, Qihao Wang, Yu Zhang, Qingfu Dai, Yujie Liu, Fufeng Jing, Wenjie Tianjin Univ Sci & Technol Tianjin Key Lab Ind Microbiol 29 13th St Tianjin 300457 Peoples R China

The identification of phosphates holds significant importance in many physiological processes and disease diagnosis, and traditional detection techniques struggle to simultaneously detect and distinguish phosphates. The complexity of synthesizing sensing units restricts the construction of sensor arrays as well. In this study, a bifunctional dicopper chloride trihydroxide (Cu2Cl(OH)3) 2 Cl(OH) 3 ) nanozyme with conspicuous laccase- and peroxidaselike activities has been synthesized in basic deep eutectic solvents (DES). Exploiting the various regulatory impacts of multiple phosphates on the dual-enzyme mimicking activities, the sensor array based on the laccase mimic and peroxidase mimic properties of Cu2Cl(OH)3 2 Cl(OH) 3 was designed, which has been successfully harnessed for the identification of eight phosphates (ATP, ADP, AMP, PPi, Pi, GTP, GDP, and GMP). This approach streamlines the creation of sensor arrays. Besides, the three simulated actual samples (healthy individuals, moderately ill patients, and severely ill patients) have been accurately distinguished. This work makes a substantial contribution to enhancing the highly effective construction of array channels and promoting discrimination of phosphates in intricate samples.

关键词： colorimetric sensor array Nanozyme Phosphates Discrimination Deep eutectic solvents

来源：评论

学校读者我要写书评

暂无评论

A colorimetric sensor array based on nanoceria crosslinked and heteroatom-doped graphene oxide nanoribbons for the detection and discrimination of multiple pesticides

引用

ANALYTICA CHIMICA ACTA 2023年 1283卷 341929页

作者： Tai, Shengmei Wang, Jun Sun, Fengxia Pan, Qiuli Peng, Chifang Wang, Zhouping Jiangnan Univ State Key Lab Food Sci & Technol Wuxi 214122 Jiangsu Peoples R China Jiangnan Univ Sch Food Sci & Technol Wuxi 214122 Jiangsu Peoples R China Jiangnan Univ Int Joint Lab Food Safety Wuxi 214122 Jiangsu Peoples R China Shandong Inst Food & Drug Control Xinluo Rd 2749 Jinan 250101 Shandong Peoples R China Shihezi Univ Sch Food Sci & Technol Shihezi 832000 Xinjiang Peoples R China Jiangnan Univ Sch Food Sci & Technol 1800 Lihu Rd Wuxi 214122 Peoples R China

Nanozymes have demonstrated high potential in constructing colorimetric sensor array for pesticides. However, rarely array for pesticides constructed without bio-enzyme were reported. Herein, nanoceria crosslinked graphene oxide nanoribbons (Ce-GONRs) and heteroatom-doped graphene oxide nanoribbons (Ce-BGONRs and CeNGONRs) were prepared, demonstrating excellent peroxidase-like activities. A colorimetric sensor array was developed based on directly inhibiting the peroxidase-like activities of the above three nanozymes, which realized the discrimination and quantitative analysis of six pesticides. In the presence of pesticides including carbaryl (Car), fluroxypyrmepthyl (Flu), thiophanatemethyl (Thio), thiram (Thir), diafenthiuron (Dia) and fomesafen (Fom), the peroxidase-like activities of three nanozymes were inhibited to different degrees, resulting in different fingerprint responses. The six pesticides in the concentration range of 0.1-50 mu g/mL and two pesticides mixtures at varied ratios could be detected and discriminated, and minimum detection limit for pesticides was 0.022 mu g/mL. In addition, this sensor array has been successfully applied for pesticides discrimination in lake water and apple samples. This work provided a new strategy of constructing simple and sensitive colorimetric sensor array for pesticides based on directly inhibiting the catalytic activities of nanozymes.

关键词： Carbon-based nanocomposite Nanozyme colorimetric sensor array Pesticide Peroxidase-like activity

来源：评论

学校读者我要写书评

暂无评论

Intelligent identification of picking periods of Lu'an Guapian tea by an indicator displacement colorimetric sensor array combined with machine learning

引用

FOOD RESEARCH INTERNATIONAL 2024年 195卷 114960页

作者： Chen, Yao Li, Yuan Lin, Li-Lin Liao, Yue Fang, Huan Wang, Tong Hunan Univ Technol Coll Life Sci & Chem Hunan Key Lab Biomed Mat & Devices Zhuzhou 412007 Peoples R China Hunan Univ Coll Chem & Chem Engn State Key Lab Chemo Biosensing & Chemometr Changsha 410082 Peoples R China

Lu'an Gua Pian (LAGP) tea is one of the most famous green teas in China. The quality of green tea is related to its picking periods, especially the green tea before Qingming Festival (usually April 6th) is highly praised as precious in the market. In this work, a simple and cheap indicator displacement colorimetric sensor array combined with smartphone was developed to rapidly identify LAGP picked during different picking periods. First, the chemical component contents of LAGP picked before and after Qingming Festival were analyzed. Second, a well-designed colorimetric sensor array was proposed based on the tea component contents differences. Finally, machine learning was used to process the array data taken by a smartphone. By comparison, the accuracy of the best model for the prediction set was 97%. Meanwhile, the multi-channel advantages of the sensing array were demonstrated by an ablation experiment. In addition, the method achieved an AGREE analysis score of 0.88, indicating that it was environmental-friendly.

关键词： Lu'an Guapian tea Picking time colorimetric sensor array Machine learning

来源：评论

学校读者我要写书评

暂无评论

Near-infrared spectroscopy based on colorimetric sensor array coupled with convolutional neural network detecting zearalenone in wheat

引用

FOOD CHEMISTRY-X 2024年 22卷 101322页

作者： Zhao, Yongqin Deng, Jihong Chen, Quansheng Jiang, Hui Jiangsu Univ Sch Elect & Informat Engn Zhenjiang 212013 Peoples R China Jimei Univ Coll Ocean Food & Biol Engn Xiamen 361021 Peoples R China

Wheat is a vital global cereal crop, but its susceptibility to contamination by mycotoxins can render it unusable. This study explored the integration of two novel non-destructive detection methodologies with convolutional neural network (CNN) for the identification of zearalenone (ZEN) contamination in wheat. Firstly, the colorimetric sensor array composed of six selected porphyrin-based materials was used to capture the olfactory signatures of wheat samples. Subsequently, the colorimetric sensor array, after undergoing a reaction, was characterized by its near-infrared spectral features. Then, the CNN quantitative analysis model was proposed based on the data, alongside the establishment of traditional machine learning models, partial least squares regression (PLSR) and support vector machine regression (SVR), for comparative purposes. The outcomes demonstrated that the CNN model had superior predictive performance, with a root mean square error of prediction (RMSEP) of 40.92 mu g center dot kg-1 and a coefficient of determination on the prediction (R2P) of 0.91. These results affirmed the potential of integrating colorimetric sensor array with near-infrared spectroscopy in evaluating the safety of wheat and potentially other grains. Moreover, CNN can have the capacity to autonomously learn and distill features from spectral data, enabling further spectral analysis and making it a forward-looking spectroscopic tool.

关键词： Wheat Zearalenone colorimetric sensor array Near-infrared spectroscopy Convolutional neural network

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：