Rapid quantification of goat milk adulteration with cow milk using Raman spectroscopy and chemometrics

Li, Wangfang; Huang, Wei; Fan, Desheng; Gao, Xuhui; Zhang, Xian; Meng, Yaoyong; Liu, Timon Cheng-Yi

doi:10.1039/d2ay01697d

Cited by 8 publications

(3 citation statements)

References 41 publications

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“…The scores of the first three principal components are depicted in Figure 6. The cumulative percentage variance (CPV) of PC1, PC2, and PC3 was 99% and met the required minimum CPV for reliable PCA [56]. The high CPV shows the quality of the analysis in transforming the original fluorescence spectral data into PCs.…”

Section: Pca Analysismentioning

confidence: 84%

The Authentication of Gayo Arabica Green Coffee Beans with Different Cherry Processing Methods Using Portable LED-Based Fluorescence Spectroscopy and Chemometrics Analysis

Yulia,

Analianasari,

Widodo

et al. 2023

Foods

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Aceh is an important region for the production of high-quality Gayo arabica coffee in Indonesia. In this area, several coffee cherry processing methods are well implemented including the honey process (HP), wine process (WP), and natural process (NP). The most significant difference between the three coffee cherry processing methods is the fermentation process: HP is a process of pulped coffee bean fermentation, WP is coffee cherry fermentation, and NP is no fermentation. It is well known that the WP green coffee beans are better in quality and are sold at higher prices compared with the HP and NP green coffee beans. In this present study, we evaluated the utilization of fluorescence information to discriminate Gayo arabica green coffee beans from different cherry processing methods using portable fluorescence spectroscopy and chemometrics analysis. A total of 300 samples were used (n = 100 for HP, WP, and NP, respectively). Each sample consisted of three selected non-defective green coffee beans. Fluorescence spectral data from 348.5 nm to 866.5 nm were obtained by exciting the intact green coffee beans using a portable spectrometer equipped with four 365 nm LED lamps. The result showed that the fermented green coffee beans (HP and WP) were closely mapped and mostly clustered on the left side of PC1, with negative scores. The non-fermented (NP) green coffee beans were clustered mostly on the right of PC1 with positive scores. The results of the classification using partial least squares–discriminant analysis (PLS-DA), linear discriminant analysis (LDA), and principal component analysis–linear discriminant analysis (PCA-LDA) are acceptable, with an accuracy of more than 80% reported. The highest accuracy of prediction of 96.67% was obtained by using the PCA-LDA model. Our recent results show the potential application of portable fluorescence spectroscopy using LED lamps to classify and authenticate the Gayo arabica green coffee beans according to their different cherry processing methods. This innovative method is more affordable and could be easy to implement (in terms of both affordability and practicability) in the coffee industry in Indonesia.

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Section: Pca Analysismentioning

confidence: 84%

The Authentication of Gayo Arabica Green Coffee Beans with Different Cherry Processing Methods Using Portable LED-Based Fluorescence Spectroscopy and Chemometrics Analysis

Yulia,

Analianasari,

Widodo

et al. 2023

Foods

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“…PLSR is a reliable linear method, which can solve the problem of model prediction accuracy due to the small number of experimental samples and the complexity of sample data parameter data (Farifteh et al., 2007). It is widely used to establish the prediction of food quality parameters (Li et al., 2023; Liu et al., 2010; Ma et al., 2019). MLR is a statistical technique that predicts the outcome of a response variable by using multiple explanatory variables.…”

Section: Methodsmentioning

confidence: 99%

Assessment of comprehensive PAH index in roasted Tan lamb by two‐dimensional correlation spectroscopy combined with hyperspectral imaging

Chen,

Wang

2024

Journal of Food Science

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Thermally processed meat may contain harmful compounds, including polycyclic aromatic hydrocarbons (PAHs). This study constructed, for the first time, the comprehensive PAH index (CPI) concentration (phenanthrene [26.47%], acenaphthene [21.83%], pyrene [18.64%], fluoranthene [17.11%], fluorene [8.49%], and anthracene [7.46%]). A visible near‐infrared (Vis–NIR) hyperspectral image (HSI) system was employed to detect CPI in 150 roasted Tan lamb samples. Furthermore, two‐dimensional correlation spectra were used to identify spectral features and reveal the order of chemical bond changes under the characteristic peaks at 579–737–631–449 nm. The results indicated that competitive adaptive reweighted sampling–multiple linear regression quantitative prediction model worked the best with calibration set coefficient of determination of 0.9161, calibration set coefficient of root mean square error of 2.3426 µg/kg, R‐squared prediction of 0.8469, and root mean square error of prediction of 2.4119 µg/kg. Finally, PAH content distributions were visualized using the best prediction model. This study aimed to propose a feasible method for CPI in roasted Tan lamb detection based on Vis–NIR HSI coupled with multivariate analysis methods.

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“…Li et al [95] as well as Huang et al [96] noted that Raman spectroscopy is gaining more and more attention in food quality control in combination with chemometrics due to it being fast, portable and non-destructive. Furthermore, this technology allows the measurement of intact samples (while inside the packaging), while the water content of the samples does not affect measurements.…”

Section: Current Analytical Methods For Milk and Dairy Products Authe...mentioning

confidence: 99%

Current State of Milk, Dairy Products, Meat and Meat Products, Eggs, Fish and Fishery Products Authentication and Chemometrics

Smaoui,

Tarapoulouzi,

Agriopoulou

et al. 2023

Foods

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Food fraud is a matter of major concern as many foods and beverages do not follow their labelling. Because of economic interests, as well as consumers’ health protection, the related topics, food adulteration, counterfeiting, substitution and inaccurate labelling, have become top issues and priorities in food safety and quality. In addition, globalized and complex food supply chains have increased rapidly and contribute to a growing problem affecting local, regional and global food systems. Animal origin food products such as milk, dairy products, meat and meat products, eggs and fish and fishery products are included in the most commonly adulterated food items. In order to prevent unfair competition and protect the rights of consumers, it is vital to detect any kind of adulteration to them. Geographical origin, production methods and farming systems, species identification, processing treatments and the detection of adulterants are among the important authenticity problems for these foods. The existence of accurate and automated analytical techniques in combination with available chemometric tools provides reliable information about adulteration and fraud. Therefore, the purpose of this review is to present the advances made through recent studies in terms of the analytical techniques and chemometric approaches that have been developed to address the authenticity issues in animal origin food products.

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Rapid quantification of goat milk adulteration with cow milk using Raman spectroscopy and chemometrics

Abstract: As goat milk has a higher economic value compared to cow milk, the phenomenon of adulterating goat milk with cow milk appears in the market. In this article, the potential...

Cited by 8 publications

References 41 publications

The Authentication of Gayo Arabica Green Coffee Beans with Different Cherry Processing Methods Using Portable LED-Based Fluorescence Spectroscopy and Chemometrics Analysis

The Authentication of Gayo Arabica Green Coffee Beans with Different Cherry Processing Methods Using Portable LED-Based Fluorescence Spectroscopy and Chemometrics Analysis

Assessment of comprehensive PAH index in roasted Tan lamb by two‐dimensional correlation spectroscopy combined with hyperspectral imaging

Current State of Milk, Dairy Products, Meat and Meat Products, Eggs, Fish and Fishery Products Authentication and Chemometrics

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