Near Infrared Spectroscopy Based on Supervised Pattern Recognition Methods for Rapid Identification of Adulterated Edible Gelatin

Zhang, Hao; Sun, Haifeng; Wang, Shun; Zhang, Wei; Hu, Jiandong

doi:10.1155/2018/7652592

Cited by 12 publications

(3 citation statements)

References 28 publications

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“…The best C and γ were determined according to the best classification accuracy based on K-fold cross-validation (K-CV). To evaluate the performance of the established SVM discrimination model, the recognition rate (RCR) and rejection rate (RJR) were proposed to reflect the reliability of clustering among different varieties, as described in a literature study [38]. The RCR refers to the ratio of the number of samples identified by a certain variety to the total number of samples from the variety, while the RJR refers to the ratio of the number of samples rejected by a certain variety to the total number of samples from other varieties.…”

Section: Methodsmentioning

confidence: 99%

Vis/NIR reflectance spectroscopy for hybrid rice variety identification and chlorophyll content evaluation for different nitrogen fertilizer levels

Zhang

Duan

et al. 2019

R. Soc. open sci.

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Nitrogen is one of the most important nutrient indicators for the growth of crops, and is closely related to the chlorophyll content of leaves and thus influences the photosynthetic ability of the crops. In this study, five hybrid rice varieties were cultivated during one entire growing period in one experimental field supplied with six nitrogen fertilizer levels. Visible and near infrared (vis/NIR) reflectance spectroscopy combined with multivariate analysis was used to identify hybrid rice varieties and nitrogen fertilizer levels, as well as to detect chlorophyll content associated with nitrogen levels. The support vector machine (SVM) algorithm was applied to identify five varieties of hybrid rice and six levels of nitrogen fertilizer. The results demonstrated that different varieties of hybrid rice for each nitrogen level can be well distinguished except for the highest nitrogen level, and no nitrogen level for each rice variety can be completely identified from the other five nitrogen levels. Further, 12 spectral indices combined with partial least square (PLS) analysis were applied for estimating chlorophyll content of rice leaves from plants subjected to different nitrogen levels, and a root mean square error of cross-validation (RMSECV) of 0.506, a coefficient of determination (R2) of 97.8% and a ratio of performance to deviation (RPD) of 4.6 for all rice varieties indicated this as a preferable procedure. This study demonstrates that Vis/NIR spectroscopy can have a great potential for identification of rice varieties and evaluation of nitrogen fertilizer levels.

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Section: Methodsmentioning

confidence: 99%

Vis/NIR reflectance spectroscopy for hybrid rice variety identification and chlorophyll content evaluation for different nitrogen fertilizer levels

Zhang

Duan

et al. 2019

R. Soc. open sci.

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“…Sausages and pork jelly are food products that are widely appreciated as a delicacy in numerous regions of China, and both items contain gelatin. The marketing expenditure allocated to the promotion of these food products exceeds $15 million [ 16 ]. Furthermore, other cases of food fraud were reported by Demirhan, Ulca [ 17 ] that discovered porcine DNA in some Halal food products, such as marshmallows, gum drops, and Turkish delights, that were declared to be made with Halal gelatin when they were tested.…”

Section: Introductionmentioning

confidence: 99%

A review on proteomic and genomic biomarkers for gelatin source authentication: Challenges and future outlook

Garcia-Vaquero

Mirzapour‐Kouhdasht

2023

Heliyon

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“…In recent years, some spectroscopic techniques including Fourier transmission infrared spectroscopy (FTIRS), near infrared spectroscopy (NIRS), and laser-induced fluorescence spectroscopy (LIFS) [10,11,12] have also been used to differentiate different gelatin origins, and laser-induced breakdown spectroscopy (LIBS) has been used for the measurement of chromium concentration in edible gelatin [13]. Most recently, we have utilized NIRS coupled with supervised pattern recognition methods for the identification of adulterated edible gelatin [14]. However, few studies have attempted to explore the potential of the quantitative evaluation of adulteration ratios.…”

Section: Introductionmentioning

confidence: 99%

Edible Gelatin Diagnosis Using Laser-Induced Breakdown Spectroscopy and Partial Least Square Assisted Support Vector Machine

Zhang

Wang

et al. 2019

Sensors

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Edible gelatin has been widely used as a food additive in the food industry, and illegal adulteration with industrial gelatin will cause serious harm to human health. The present work used laser-induced breakdown spectroscopy (LIBS) coupled with the partial least square–support vector machine (PLS-SVM) method for the fast and accurate estimation of edible gelatin adulteration. Gelatin samples with 11 different adulteration ratios were prepared by mixing pure edible gelatin with industrial gelatin, and the LIBS spectra were recorded to analyze their elemental composition differences. The PLS, SVM, and PLS-SVM models were separately built for the prediction of gelatin adulteration ratios, and the hybrid PLS-SVM model yielded a better performance than only the PLS and SVM models. Besides, four different variable selection methods, including competitive adaptive reweighted sampling (CARS), Monte Carlo uninformative variable elimination (MC-UVE), random frog (RF), and principal component analysis (PCA), were adopted to combine with the SVM model for comparative study; the results further demonstrated that the PLS-SVM model was superior to the other SVM models. This study reveals that the hybrid PLS-SVM model, with the advantages of low computational time and high prediction accuracy, can be employed as a preferred method for the accurate estimation of edible gelatin adulteration.

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Near Infrared Spectroscopy Based on Supervised Pattern Recognition Methods for Rapid Identification of Adulterated Edible Gelatin

Cited by 12 publications

References 28 publications

Vis/NIR reflectance spectroscopy for hybrid rice variety identification and chlorophyll content evaluation for different nitrogen fertilizer levels

Vis/NIR reflectance spectroscopy for hybrid rice variety identification and chlorophyll content evaluation for different nitrogen fertilizer levels

A review on proteomic and genomic biomarkers for gelatin source authentication: Challenges and future outlook

Edible Gelatin Diagnosis Using Laser-Induced Breakdown Spectroscopy and Partial Least Square Assisted Support Vector Machine

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