FOOD CHEMISTRY
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2021
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IF 7.514
Huiyue Sun,Weiying Lu,Boyan Gao
A non-targeted chemometric method was devised to detect possible butter adulteration without prior knowledge of the adulterant and marker compounds. Nine common edible oils including vegetable oils, animal fats and margarines were selected as potential adulterants to build a unified classification model. The samples were analyzed using the high-performance liquid chromatography hyphenated with an evaporative light scattering detector (UHPLC-ELSD) and an ultraviolet detector (UHPLC-UV), with the pointwise chromatograms instead of individual peaks for modelling. Both models achieved over 95% correct classification in external validation at the adulteration levels as low as 5% (w/w). The root mean squared errors of prediction (RMSEP) of the regression model were 0.9865 and 1.9080 for UHPLC-ELSD and UHPLC-UV, respectively. Non-targeted chemometrics analyses based on pointwise chromatographic profiles could be valuable for detecting adulterated butter.
研究领域:
食品科学
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分析化学
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化学计量学
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DOI
PubMed
高影响因子
LWT-FOOD SCIENCE AND TECHNOLOGY
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2024
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IF 6
Ying Wang,Siqi Li,Jing Sun,Yufang Li,Yan Hu,Chuanpu Shen,Feilong Liu,Shiwen Guo,Feiran Chen,Qiangjian Liu,Jingjing Ma,Fucai Ren,Furong Yang,Qunlin Zhang,Jingyuan Song,Tianyi Xin,Xiangdong Pu
Adulteration, pesticide residues, and fungal contamination are the three key factors affecting herbal medicine safety. Herbal tea is a healthy beverage containing bioactive molecules and is one of the derivatives of medicine food homology herbal medicine. However, these three factors are often ignored in the herbal tea industry. In this study, 171 commercially available Panax herbal tea products were tested. The findings revealed that the target Panax ingredient in the herbal tea products was adulterated by Platycodon grandiflorum or the mixed-using of Panax genus species, with an adulteration rate of 25.1%. The pentachloronitrobenzene (PCNB) pesticide residue rate was 78.4% in the 171 Panax herbal tea products. Two samples demonstrated obvious fungal contamination. Among the 171 Panax herbal teas, 98 samples were qualified with the correct species, qualified pesticide residues, and no fungal contamination (eyeballing). The present investigation not only sheds light on the three key factors exerting a significant impact on herbal tea safety but also provides a reference for the comprehensive evaluation of herbal tea, thereby facilitating the development of this industry.
研究领域:
中药学
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食品安全
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植物化学
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DOI
高影响因子
Food Analytical Methods
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2019
·Vol. 12
·期 11
·2614-2622
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IF 2.413
Xu Lu,Wei Liuna,Shi Qiong,Cai Chenbo,Fu Hai-Yan,She Yuan-Bin
The feasibility of a highly sensitive “turn-off” fluorescent probe of double quantum dots (QDs) combined with chemometrics was investigated for untargeted screening of extraneous adulterants in pure orange juice (OJ), including sucrose syrup and artificial fruit powder. Pure and adulterated OJ samples were characterized by their different quenching patterns of the two separate and strong fluorescent peaks generated by the double QDs followed by chemometrics analysis. Class models of pure OJ samples ( n = 117) obtained from pressing newly harvested oranges were developed using one-class partial least squares (OCPLS) based on different signal preprocessing methods, including smoothing, taking second-order derivatives (D2) and standard normal variate (SNV) transformation. As a result, D2-OCPLS model could detect at 5.0% ( w / w ) of sucrose syrup and 2.0% ( w / w ) of artificial fruit powder in pure OJ with a sensitivity (the rate of true positives) of 97.8% and specificity (rate of true negatives) of 77.0%. In conclusion, the proposed fluorescence probe with double QDs has been demonstrated to have potential for applications in rapid and sensitive screening of adulterants in OJ, which also implies promising applications to untargeted analysis of other water-soluble food samples.
Graphical Abstract
研究领域:
食品科学
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分析化学
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DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2019
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IF 2.931
Lu Xu,Daowang Lu,Qiong Shi,Hengye Chen,Shunping Xie,Gangfeng Li,Hai-Yan Fu,Yuan-Bin She
To enhance the power of untargeted detection, a “turn-off” fluorescent probe with double quantum dots (QDs) was developed and coupled with chemometrics for rapid detection of multiple adulterants in an herbal ( Rhus chinensis Mill., RCM) honey. The double water-soluble ZnCdSe-CdTe QDs have two separate and strong fluorescent peaks , which can be quenched by honey and extraneous adulterants with varying degrees. Class models of pure RCM honey samples collected from 6 different producing areas ( n = 122) were developed using one-class partial least squares (OCPLS). Four extraneous adulterants, including glucose syrup, sucrose syrup, fructose syrup, and glucose-fructose syrup were added to pure honey samples at the levels of 0.5% to 10% (w/w). As a result, the OCPLS model using the second-order derivative (D2) spectra could detect 1.0% (w/w) of different syrups in RCM honey, with a sensitivity of 0.949. The double water-soluble QDs, which can be adjusted for analysis of other water-soluble food samples, has largely extended the capability of traditional fluorescence and will provide a potentially more sensitive and specific analysis method for food frauds.
研究领域:
食品科学
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分析化学
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产品关联
DOI
PubMed
高影响因子
ACS Omega
·
2022
·
IF 4.132
Qiaoling Yang,Bing Niu,Shuqing Gu,Jinge Ma,Chaomin Zhao,Qin Chen,Dehua Guo,Xiaojun Deng,Yongai Yu,Feng Zhang
To develop a rapid detection method for nonprotein nitrogen adulterants, this experiment sets up a set of point-scan Raman hyperspectral imaging systems to qualitatively distinguish and quantitatively and positionally analyze samples spiked with a single nonprotein nitrogen adulterant and samples spiked with a mixture of nine nonprotein nitrogen adulterants at different concentrations (5 × 10–3 to 2.000%, w/w). The results showed that for samples spiked with single nonprotein nitrogen adulterants, the number of pixels corresponding to the adulterant in the region of interest increased linearly with an increase in the analyte concentration, the average coefficient of determination (R2) was above 0.99, the minimum detection concentration of nonprotein nitrogen adulterants reached 0.010%, and the relative standard deviation (RSD) of the predicted concentration was less than 6%. For the sample spiked with a mixture of nine nonprotein nitrogen adulterants, the standard curve could be used to accurately predict the additive concentration when the additive concentration was greater than 1.200%. The detection method established in this study has good accuracy, high sensitivity, and strong stability. It provides a method for technical implementation of real-time and rapid detection of adulterants in milk powder at the port site and has good application and promotion prospects.
研究领域:
食品安全检测
·
光谱学
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产品关联
DOI
PubMed
高影响因子
FOOD CHEMISTRY
·
2023
·
IF 8.8
Xiaoyu Yang,Zhichun Bi,Chenghui Yin,Shuyi Zhang,Donghui Song,Hui Huang,Yongxin Li
Tieguanyin (TGY) is one of top ten famous teas in China, but in the process of brand building there is the phenomenon of falsehood, thus harming the interests of consumers. To solve the adulterate problem of TGY, a colorimetric sensor array (CSA) based on peroxidase activity of nanozyme was constructed. Nanozymes can catalyze 3,3′,5,5′-tetramethylbenzidine (TMB) to 3,3′,5,5′-tetramethyl -[1,1′-bis(cyclohexyl)]-2,2′,5,5′-tetraene-4,4′-diimine (oxTMB), while the tea polyphenols (TPs) can inhibit this process, and the degree of inhibition varies significantly with the reaction time. We selected two nanozymes and three reaction time points to construct CSA. It can successfully distinguish TPs in TGY. The discriminative analysis can achieve: (1) distinction between TGY and adulterated tea, (2) discrimination of TGY in various seasons and seasonal adulteration in different degrees. The method constructed in this work is promising for both the class and quality differentiation of TGY and other teas with TPs as the main activity.
研究领域:
食品科学
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分析化学
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生物技术
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产品关联
DOI
PubMed
高影响因子
TALANTA
·
2024
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IF 5.6
Xiangdong Qing,Guiying Lu,Xiaohua Zhang,Qingling Chen,Xiaohong Zhou,Wei He,Ling Xu,Jin Zhang
Classifying big data in hyperspectral imaging (HSI) can be challenging when minor (low-concentrated) compounds are present in actual samples, as for chemical additives and adulterants in food matrix. Herein, we propose a new strategy to classify HSI data for the identification of adulterants in food material for the first time. This strategy is based on the selection of essential spectral pixels of full HSI data followed by the feature space construction using uniform manifold approximation and projection as well as the data clustering utilizing hierarchical clustering analysis on the reduced data (named ESPs-UMAP-HCA). We apply our approach to analyze two real NIR datasets and four new Raman datasets. Compared with non-ESPs UMAP-HCA and t-distributed stochastic neighbor embedding combined with ESPs and HCA (ESPs-t-SNE-HCA), the developed strategy provides well-separated clusters for major and minor compounds in food matrix. Finally, the adulterants as minor compounds are accurately identified, which is confirmed by the fact that the extracted spectra of them perfectly match with their pure spectra. In addition, their locations are found in the contribution map even though they are present in a few pixels. What’s more, the proposed strategy does not need any a priori knowledge of the data structure and the class memberships and therefore reduced the studied difficulty and confirmation bias in the analysis of big HSI datasets. Overall, the proposed ESPs-UMAP-HCA method could be a potential approach for food adulteration detection.
研究领域:
食品安全
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数据分析
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光谱学
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产品关联
DOI
PubMed
高影响因子
FOOD CHEMISTRY
·
2025
·
IF 9.8
Yandong Xu,Xing Zheng,Benyan Tang,Xiaorong Yang,Patricia Vit,Milena Popova,Vassya Bankova,Liming Wu,Kai Wang
Stingless bee honey (SBH) has garnered attention as a natural sweetener and functional food, recognized for its exceptional biological activity and distinctive flavor. Compared to honeybee honey, SBH has lower annual production but commands a higher market value, making it more susceptible to adulteration. During an analysis of trehalulose in SBH, we unexpectedly identified the naturally occurring sugar alcohol, mannitol. The presence of mannitol in SBH was confirmed using UHPLC/Q-TOF-MS, 1 H and 13 C NMR analyses. A systemic analysis of 104 SBH samples from various stingless bee species revealed mannitol in all samples, with concentrations ranging from 0.06 g to 13.49 g/100 g. The detection of previously neglected mannitol levels in SBH offers additional evidence supporting its health benefits. This study not only highlights the potential application of SBH in the food industry but also introduces mannitol as a distinctive marker for detecting SBH adulteration.
研究领域:
食品科学
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生物化学
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产品关联
DOI
PubMed
高影响因子
PHYTOCHEMICAL ANALYSIS
·
2025
·
IF 2.6
Shanghong Li,Cuifen Fang,Sinan Wang,Hsiuting Chang,Cheng Zheng,Yi Wang,Yu Tang
Introduction Despite significant advances in analytical methods, the quality evaluation and adulteration detection of chemically complex traditional Chinese medicines continues to be a major challenge. Objectives We developed a custom diffusion-ordered spectroscopy (DOSY) approach for the qualitative analysis of precious Calculus Bovis (CB) and detection of its adulterants. Methods Using Artificial Calculus Bovis as an example, we focused on the effects of NMR spectrometers, solvent viscosity, matrices, matrix concentration, and temperature on separation efficiency of DOSY. The optimal conditions also successfully applied for the identification of Natural Calculus Bovis, Calculus Bovis Sativus, and adulterated samples. The accuracy of DOSY was verified by 13 C NMR. Results Via inspection of NMR spectrometers, solvents, matrices, matrix concentration, and temperature, the optimal conditions for DOSY experiments of CB were found to be using methanol- d 4 as the solvent, adding 4 mg of polyvinyl pyrrolidone (PVP) as the matrix, and a temperature of 298 K. Under these conditions, five types of compounds, cholic acid (CA), deoxycholic acid (DCA), hyodeoxycholic acid (HDCA), taurine-conjugated bile acids (tBAs), and glycine-conjugated bile acids (gBAs), were unequivocally identified in three types of CB. 13 C NMR validated the accuracy of the DOSY results. As for the sugar-adulterated CB, the signals of sugar could be clearly identified on the DOSY spectrum. Conclusions This study verified the feasibility of DOSY for the quality evaluation of CB and provided a reference point for future qualitative and quantitative analysis of other complex traditional Chinese medicines, as well as the characterization of adulterated samples.
研究领域:
中药学
·
分析化学
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产品关联
DOI
PubMed
高影响因子
Journal of Spectroscopy
·
2022
·
IF 1.75
Shubao Pan,Huo Zhang,Zhi Li,Tao Chen,Xianhua Yin
This paper introduces a method to detect the content of sucrose, an adulterant of red ginseng, based on terahertz spectroscopy. Experiments were carried out on red ginseng with 6 levels of adulterated concentrations using terahertz time-domain spectroscopy (THz-TDS). We separately extracted the information of the terahertz spectral curve by principal component analysis (PCA) and Monte Carlo uninformative variable elimination (MCUVE) and then separately performed quantitative analysis by partial least squares regression (PLSR) and support vector regression (SVR). Because the nonlinear line factor in the terahertz spectral curve of red ginseng samples is considered, the MCUVE-SVR has high correlation coefficient (>0.99) and ratio prediction to deviation (>7.4), low root means square error of deviation (<1.2%), and Bias (<0.05%). The results prove that MCUVE-SVR can be regarded as an ideal quantitative analysis method in the detection of sucrose incorporation in red ginseng by terahertz spectroscopy.
研究领域:
中药学
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光谱分析
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食品检测
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产品关联
DOI
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
·
2023
·
IF 4.3
Jing-Yan Li,Qian Ge,Bin Liu,Zhen-Peng Gao,Chun-Feng Guo
This study aimed to develop a non-protein-based method for quantify cow milk in adulterated goat milk. The raw cow milk and raw goat milk samples were mixed separately with the same volume of cold acetone and centrifuged to remove their proteins. The supernatants were evaporated, and the residues were derivatized by silylation followed by GC-MS analysis. N-acetylglucosamine was identified as a thermostable non-protein biomarker of cow milk. Its concentration in the raw cow milk (146.7 mg/L) was 32 times higher than that in the raw goat milk. On this basis, a HPLC-MS/MS method using positive-ion electrospray ionization in parallel reaction monitoring mode was developed for quantifying cow milk in adulterated goat milk by determining peak area of the biomarker. The method showed good linearity over cow milk concentrations of 1–100% and could detect as low as 0.3% cow milk in adulterated goat milk. Besides, the method was characterized by a simple sample pretreatment process, rapid detection, high accuracy, and high precision. With this method, a sample could be analyzed in 10 min. The present study demonstrated the feasibility of quantifying cow milk in adulterated goat milk using N-acetylglucosamine as a biomarker of cow milk.
研究领域:
食品科学
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分析化学
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DOI
高影响因子
FOOD CHEMISTRY
·
2023
·
IF 8.8
Chongshan Yang,Dandan Duan,Chunwang Dong,Chuanxia Li,Guanglin Li,Yunhai Zhou,Yifan Gu,Yachao Liu,Chunjiang Zhao,Daming Dong
Aroma is a key factor used to evaluate tea quality. Illegal traders usually add essence to expired or substandard tea to improve its aroma so as to gain more profit. Traditional physical and chemical testing methods are time-consuming and costly. Furthermore, rapid detection techniques, such as near-infrared spectroscopy and machine vision, can only be used to detect adulterated powdered solid essences in tea. In this study, proton-transfer reaction mass spectrometry (PTR-MS) and Fourier-transform infrared spectroscopy (FTIR) were employed to detect volatile organic compounds (VOCs) in samples, and rapid detection of different tea adulterated liquid essence was achieved. The prediction accuracies of PTR-MS and FTIR reached over 0.941 and 0.957, respectively, and the minimum detection limits were lower than the actual used values in both. In this study, the different application scenarios of the two technologies are discussed based on their performance characteristics.
研究领域:
食品科学
·
分析化学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）