A case of milk traceability in small-scale districts-Inner Mongolia of China by nutritional and geographical parameters

Xie, Lina; Zhao, Shanshan; Rogers, Karyne M.; Xia, Yajuan; Zhang, Bin; Suo, Ran; Zhao, Yan

doi:10.1016/j.foodchem.2020.126332

Cited by 31 publications

(12 citation statements)

References 25 publications

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“…Only a few studies have focused on near-field production; in previous studies in our laboratory, Xie et al paid attention to the traceability of milk in small-scale districts of Inner Mongolia Autonomous Region in China. It was found that a model combining all three techniques could distinguish milk samples from 11 regions in the same province and improve the accuracy of classification of a small-scale region tracking model [ 34 ]. However, in the study, Xie et al did not verify the PCA and OPLS-DA models, which may lead to over-fitting.…”

Section: Introductionmentioning

confidence: 99%

Chemical Analysis Combined with Multivariate Statistical Methods to Determine the Geographical Origin of Milk from Four Regions in China

Zhao

et al. 2021

Foods

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Traceability of milk origin in China is conducive to the implementation of the protection of regional products. In order to distinguish milk from different geographical distances in China, we traced the milk of eight farms in four neighboring provinces of China (Inner Mongolia autonomous region, Hebei, Ningxia Hui autonomous and Shaanxi), and multivariate data analysis was applied to the data including elemental analysis, stable isotope analysis and fatty acid analysis. In addition, orthogonal partial least squares discriminant analysis (OPLS-DA) is used to determine the optimal classification model, and it is explored whether the combination of different technologies is better than a single technical analysis. It was confirmed that in the inter-provincial samples, the combination of the two techniques was better than the analysis using a single technique (fatty acids: R2 = 0.716, Q2 = 0.614; fatty acid-binding isotopes: R2 = 0.760, Q2 = 0.635). At the same time, milk produced by farms with different distances of less than 11 km in each province was discriminated, and the discriminant distance was successfully reduced to 0.7 km (Ningxia Hui Autonomous Region: the distance between the two farms was 0.7 km, R2 = 0.771, Q2 = 0.631). For short-distance samples, the combination multiple technologies are not completely superior to a single technique, and sometimes, it is easy to cause model over-fitting.

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Section: Introductionmentioning

confidence: 99%

Chemical Analysis Combined with Multivariate Statistical Methods to Determine the Geographical Origin of Milk from Four Regions in China

Zhao

et al. 2021

Foods

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“…However, single nutrient parameter analysis is not enough to obtain comprehensive geographic characteristics and trace the geographic origin of flaxseed 19 . To improve geographic traceability accuracy, multi‐technology data fusion can therefore be carried out 20 …”

Section: Introductionmentioning

confidence: 99%

Determining the geographical origin of flaxseed based on stable isotopes, fatty acids and antioxidant capacity

Liu¹,

Zhu²,

Zhao

et al. 2021

J Sci Food Agric

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BACKGROUND Flaxseed is an economically important oilseed crop whose geographic origin is of significant interest to producers and consumers because every region may exhibit particular quality characteristics. The lipid/fatty acid method of determining the geographic origin of flaxseed has not been found to be adequate. RESULTS To improve the discrimination rate and the geographical traceability of this crop, the chemical profiles of the flaxseed samples were characterized via lipids/fatty acids, stable isotopes, and antioxidant capacity. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS‐DA) were also performed. A satisfactory discrimination rate of 98.6% was obtained after combining fatty acids, stable isotopes, and antioxidant capacity to trace the origin of flaxseed from five regions in northern China. CONCLUSION This study provides an effective method for distinguishing the geographic origin of flaxseed. © 2021 Society of Chemical Industry.

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“…At present, public health, resource, energy, food safety, and environmental issues are the most important focus areas for global sustainable development [1][2][3][4][5][6][7]. Considering current energy and environmental crises, biofuel production from energy crops and lignocellulosic biomass wastes, which can produce renewable energy and balance the emission of carbon dioxide, is attracting increasing attention [1][2][3][4]6,8].…”

Section: Introductionmentioning

confidence: 99%

One-Step or Two-Step Acid/Alkaline Pretreatments to Improve Enzymatic Hydrolysis and Sugar Recovery from Arundo Donax L.

Tang

Cao

et al. 2020

Energies

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Energy crops are not easily converted by microorganisms because of their recalcitrance. This necessitates a pretreatment to improve their biodigestibility. The effects of different pretreatments, as well as their combination on the enzymatic digestibility of Arundo donax L. were systematically investigated to evaluate its potential for bioconversion. Dilute alkaline pretreatment (ALP) using 1.2% NaOH at 120 °C for 30 min resulted in the highest reducing sugar yield in the enzymatic hydrolysis process because of its strong delignification and morphological modification, while ferric chloride pretreatment (FP) was effective in removing hemicellulose and recovering soluble sugars in the pretreatment stage. Furthermore, an efficient two-step ferric chloride-alkaline pretreatment (FALP) was successfully developed. In the first FP step, easily degradable cellulosic components, especially hemicellulose, were dissolved and then effectively recovered as soluble sugars. Subsequently, the FP sample was further treated in the second ALP step to remove lignin to enhance the enzymatic hydrolysis of the hardly degradable cellulose. As a result, the integrated two-step process obtained the highest total sugar yield of 420.4 mg/g raw stalk in the whole pretreatment and enzymatic hydrolysis process; hence, the process is a valuable candidate for biofuel production.

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A case of milk traceability in small-scale districts-Inner Mongolia of China by nutritional and geographical parameters

Cited by 31 publications

References 25 publications

Chemical Analysis Combined with Multivariate Statistical Methods to Determine the Geographical Origin of Milk from Four Regions in China

Chemical Analysis Combined with Multivariate Statistical Methods to Determine the Geographical Origin of Milk from Four Regions in China

Determining the geographical origin of flaxseed based on stable isotopes, fatty acids and antioxidant capacity

One-Step or Two-Step Acid/Alkaline Pretreatments to Improve Enzymatic Hydrolysis and Sugar Recovery from Arundo Donax L.

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