Raman‐spectroscopy‐based differentiation between cow and buffalo milk

Ullah, Rahat; Khan, Saranjam; Ali, Hina; Bilal, Muhammad; Saleem, Muhammad; Mahmood, Asif; Ahmed, Mushtaq

doi:10.1002/jrs.5103

Cited by 32 publications

(15 citation statements)

References 30 publications

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“…In general, PCA is used to identify the spectral similarities and differences. PCA is used to reduce the high dimensionality by transforming the data into the new coordinate system, principal component (PC) space . In the PC coordinate system, the first axis represents the first principal component (PC1), which shows the maximum variance in the data.…”

Section: Experimental Techniquesmentioning

confidence: 99%

Detection and classification of volatile fatty acids using surface‐enhanced Raman scattering and density functional theory calculations

Chindaudon

Eiamchai

Horprathum

et al. 2019

J Raman Spectroscopy

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Volatile fatty acids of acetic, butyric, lactic, and propionic acids play an important role in the methane fermentation process. Particularly significant amount of propionic acid presence in the process will influence the methane fermentation efficiency. Herein, zigzag‐aligned silver nanorods were designed as surface‐enhanced Raman scattering (SERS)‐active substrates to establish the classification of volatile fatty acids against the traditional poor sensitive and time‐consuming titration and gas chromatography methods. SERS and chemometric method of principal component analysis is used for the detection and classification of volatile fatty acids. Density functional theory calculations were performed to understand the Raman vibrations and compare with experimental observations and to aid in the assignments of spectral lines. For the first time, the authors have used SERS technique to classify the acids. The findings suggest that this method is of great potential in the field of methane fermentation from industrial waste.

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Section: Experimental Techniquesmentioning

confidence: 99%

Detection and classification of volatile fatty acids using surface‐enhanced Raman scattering and density functional theory calculations

Chindaudon

Eiamchai

Horprathum

et al. 2019

J Raman Spectroscopy

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“…The results indicate that Raman successfully differentiates between cow and buffalo milk based on the presence and absence of β‐carotene, respectively. They also show that buffalo milk contains comparatively high (unsaturated/saturated) fat content . Ullah et al describe infant gender‐based differentiation in the concentration of milk fats using near infrared Raman spectroscopy.…”

Section: Pharmaceutical Food and Forensic Applicationsmentioning

confidence: 99%

Recent advances in linear and nonlinear Raman spectroscopy. Part XII

Nafie

2018

J Raman Spectroscopy

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This annual review is an overview of advances in the field of Raman spectroscopy as found in papers published in the previous calendar year in the Journal of Raman Spectroscopy (JRS), as well as in trends over the past decade across journals that have published papers important to the field of Raman spectroscopy. This information is gleaned from statistical data on article counts obtained from the Clarivate Analytic's Web of Science Core Collection by year and by subfield of Raman spectroscopy. Additional information is gleaned from presentations at the XXVI International Conference on Raman Spectroscopy (ICORS 2018) in Jeju Island, Korea in August 2018, and contributions on Raman scattering at SCIX 2018, organized by the Federation of Analytical Chemistry and Spectroscopy Societies (FACSS) in Atlanta, Georgia, USA in October 2018. Coverage is also provided for topics from the European Conference on Nonlinear Optical Spetroscopy (ECONOS 2018) held in April in Milan, Italy and GeoRaman 2018 in Catania, Italy in June. Finally, papers published in JRS in 2017 are highlighted and arranged by topics at the frontier of Raman spectroscopy. On the basis of this survey information, it is clear that Raman spectroscopy continues as in recent years as a rapidly expanding field of research across a wide range of novel disciplines and applications that provide sensitive photonic information of matter at the molecular level.

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“…Due to its high concentration of CLA, ghee has been reported as having antioxidant, anticarcinogenic, antidiabetic, anti‐atherogenic and anti‐adipogenic properties (McCrorie et al ; Chinnadurai et al ). Cow ghee is a rich source of beta‐carotene, which is absent from buffalo ghee, because buffalo metabolises it into vitamin A (Ullah et al ).…”

Section: Introductionmentioning

confidence: 99%

Characterisation of cow and buffalo ghee using fluorescence spectroscopy

Ahmad¹,

Saleem

2019

Int J of Dairy Tech

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Fluorescence spectroscopy has been utilised to characterise ghee extracted from buffalo and cow milk. Using an excitation wavelength of 320 nm, emission spectra of buffalo and cow ghee; vitamins A, B 12 , D, E, K; and conjugated linoleic acid (CLA) were acquired by using spectrofluorometer. The bands at 390, 440, 480 and 525 nm were assigned to fat-soluble vitamins, CLA, vitamin A and beta-carotene. Moreover, spectra of vitamins and CLA confirmed their presence in both ghee types. The spectral differences were highlighted through principle component analysis that has been applied for the detection of adulteration of cow milk in buffalo ghee.

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Raman‐spectroscopy‐based differentiation between cow and buffalo milk

Cited by 32 publications

References 30 publications

Detection and classification of volatile fatty acids using surface‐enhanced Raman scattering and density functional theory calculations

Detection and classification of volatile fatty acids using surface‐enhanced Raman scattering and density functional theory calculations

Recent advances in linear and nonlinear Raman spectroscopy. Part XII

Characterisation of cow and buffalo ghee using fluorescence spectroscopy

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