Analysis of 17 elements in cow, goat, buffalo, yak, and camel milk by inductively coupled plasma mass spectrometry (ICP-MS)

Chen, Lu; Li, Xia; Li, Zengmei; Deng, Ligang

doi:10.1039/d0ra00390e

Cited by 48 publications

(63 citation statements)

References 28 publications

(33 reference statements)

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“…LDA was mainly used for supervised dimensionality reduction and classification, and used the prior knowledge and experience of the category to select the projection direction with the best classification performance (Zhao et al., 2020). On combining the methods of PCA and LDA, feature subspaces can be fused to improve recognition performance, which was an effective method in milk identification (Chen et al, 2020). The differences of livestock, lactation stages, or geographical origins from milk samples were classified by discriminant functions obtained by LDA.…”

Section: Methodsmentioning

confidence: 99%

Discrimination of goat, buffalo, and yak milk from different livestock, regions, and lactation using microelement contents

Guo

Liu

Zhao

et al. 2021

Journal of Food Science

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This study aims at investigating whether the livestock, lactation stage, or geographical origin of specialty milk in China could be classified by the elemental contents. Samples of goat, buffalo, and yak milk were collected from main production provinces in China and the contents of nine elements in milk from different livestock, regions, and lactation stages were determined. Statistical analysis indicated that the contents of Mn, Cu, As, Se, Cs, and Mo in mature milk were significantly different between the three livestock (p < 0.05). The trends of Mn and Cs contents of the goat milk and buffalo milk increased first and then decreased gradually during lactation. The contents of Se, Cs, Ba, and Mo in mature milk of three livestock were significantly different between the three regions (p < 0.05). The result of linear discriminant analysis (LDA) and partial least squares discrimination analysis (PLS-DA) showed that the total correct classification rates in different livestock for mature milk reached 86.7 and 90%. For goat milk, the total correct classification rates of different lactations and regions reached 88.9 and 77.8% for LDA (100 and 87.5% for PLS-DA), and followed by yak milk of different regions which achieved 88.9% for LDA (88.9% for PLS-DA).In summary, the microelements in milk showed a significant correlation with livestock, region, and lactation of goat, buffalo, and yak milk. The elemental fingerprints combined with the LDA could be potential for classifying the livestock, lactation stage, and geographical origin of milk.Practical Application: According to study the contents of miroelements in milk from different livestock, regions, and lactation stages, provide evidence and support for classifying the livestock, lactation stage, and geographical origin of milk. K E Y W O R D Sbuffalo milk, geographical origin, goat milk, lactation stage, yak milk INTRODUCTIONRaw milk is one of the most perfect foods in the human diet. Bovine milk is by far the most commonly consumed type of milk, dominating global milk production. The worldwide milk production is highest for bovine milk (85%), followed by buffalo (11%), goat (2.3%), sheep (1.4%), and camel milk (0.2%) (Gerosa & Skoet, 2012). Goats

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Section: Methodsmentioning

confidence: 99%

Discrimination of goat, buffalo, and yak milk from different livestock, regions, and lactation using microelement contents

Guo

Liu

Zhao

et al. 2021

Journal of Food Science

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“…There are four mains steps involved in ICP-MS analysis such as sample introduction, aerosol generation, ionization by an argon plasma source, mass discrimination and the detection system. ICP-MS is a sophisticated and highly reliable technique due to its excellent sensitivity, wide analytical working range (up to 9 orders of magnitude), multi-element characteristics, short analysis time, reduce sample-handling requirements, minimised potential analytical errors and isotopic capabilities [ 32 , 55 ].…”

Section: Mineralsmentioning

confidence: 99%

“…There are many complex samples matrix have been successfully analysed using ICP-MS such as honey [ 56 ], rice [ 57 ], cow, goat, buffalo, yak and camel milk [ 55 ], meat [ 51 ], spices and aromatic herbs [ 58 ], honeydew honey [ 52 ], dairy milk and plant based milk [ 54 ] and maize [ 59 ]. Hyphenation techniques such as size-exclusion chromatography (SEC-ICP-MS) for the separation of samples and analyse using ICP-MS has been applied for analysis of metals such as Fe, Zn and P in vegetables [ 53 ] ( Table 2 ).…”

Section: Mineralsmentioning

confidence: 99%

Recent Techniques in Nutrient Analysis for Food Composition Database

et al. 2020

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Food composition database (FCD) provides the nutritional composition of foods. Reliable and up-to date FCD is important in many aspects of nutrition, dietetics, health, food science, biodiversity, plant breeding, food industry, trade and food regulation. FCD has been used extensively in nutrition labelling, nutritional analysis, research, regulation, national food and nutrition policy. The choice of method for the analysis of samples for FCD often depends on detection capability, along with ease of use, speed of analysis and low cost. Sample preparation is the most critical stage in analytical method development. Samples can be prepared using numerous techniques; however it should be applicable for a wide range of analytes and sample matrices. There are quite a number of significant improvements on sample preparation techniques in various food matrices for specific analytes highlighted in the literatures. Improvements on the technology used for the analysis of samples by specific instrumentation could provide an alternative to the analyst to choose for their laboratory requirement. This review provides the reader with an overview of recent techniques that can be used for sample preparation and instrumentation for food analysis which can provide wide options to the analysts in providing data to their FCD.

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“…In addition, goat milk has been classified as a substitute for cow's milk in those people who suffer from some type of allergy to this food [3]. Goat's milk is a source of nutrients in the human diet due to its content of Se and polyunsaturated fatty acids (PUFA), such as vaccenic and rumenic acid or CLA [4,5], which can influence the prevention of certain types of cancers and cardiovascular diseases [6,7]. The literature contains many studies of how diet affects the performance and quality of ruminant milk.…”

Section: Introductionmentioning

confidence: 99%

Composition, Mineral and Fatty Acid Profiles of Milk from Goats Fed with Different Proportions of Broccoli and Artichoke Plant By-Products

Monllor

Romero

Atzori

et al. 2020

Foods

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In the Mediterranean region, artichoke and broccoli are major crops with a high amount of by-products that can be used as alternative feedstuffs for ruminants, lowering feed costs and enhancing milk sustainability while reducing the environmental impact of dairy production. However, nutritional quality of milk needs to be assured under these production conditions and an optimal inclusion ratio of silages should be determined. This work aimed to evaluate the effect of three inclusion levels (25%, 40%, and 60%) of these silages (artichoke plant, AP, and broccoli by-product, BB) in goat diets on milk yield, composition, and mineral and fatty profiles. Treatments with 60% inclusion of AP and BB presented the lowest milk yield. No differences were found on the milk mineral profile. Inclusion of AP in the animals’ diet improved the milk lipid profile from the point of view of human health (AI, TI) compared to BB due to a lower saturated fatty acid content (C12:0, C14:0, and C16:0) and a higher concentration of polyunsaturated fatty acids (PUFA), especially vaccenic acid (C18:1 trans11) and rumenic acid (CLA cis9, trans11), without any differences with the control treatment.

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Analysis of 17 elements in cow, goat, buffalo, yak, and camel milk by inductively coupled plasma mass spectrometry (ICP-MS)

Abstract: 17 elements in cow, goat, buffalo, yak, and camel milk were determined by ICP-MS; element analysis combined with chemometrics can be used to distinguish milk types.

Cited by 48 publications

References 28 publications

Discrimination of goat, buffalo, and yak milk from different livestock, regions, and lactation using microelement contents

Discrimination of goat, buffalo, and yak milk from different livestock, regions, and lactation using microelement contents

Recent Techniques in Nutrient Analysis for Food Composition Database

Composition, Mineral and Fatty Acid Profiles of Milk from Goats Fed with Different Proportions of Broccoli and Artichoke Plant By-Products

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