Nor Kartini Abu Bakar

Prof. Nor Kartini Abu Bakar

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2021 in Analytical Biochemistry
Verified
Journal Article
Closed access
NNNoman Nawaz
Noman Nawaz
NBNor Kartini Abu Bakar
Nor Kartini Abu Bakar
HMH. N.M. Ekramul Mahmud
H. N.M. Ekramul Mahmud
NJNazzatush Shimar Jamaludin
Nazzatush Shimar Jamaludin


20 November 2019 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
ISIbrahim Sani Shabanda
Ibrahim Sani Shabanda
Isa KokiIsa Koki
Isa Koki
KLKah Hin Low
Kah Hin Low
SZSharifuddin Md Zain
Sharifuddin Md Zain
SKSook Mei Khor
Sook Mei Khor
NBNor Kartini Abu Bakar
Nor Kartini Abu Bakar

1 October 2021 in Food Chemistry
Verified
Journal Article
Closed access
AAAhmed Qasim Abdulhussein
Ahmed Qasim Abdulhussein
AJArniza Khairani Mohd Jamil
Arniza Khairani Mohd Jamil
NBNor Kartini Abu Bakar
Nor Kartini Abu Bakar

1 November 2018 in Marine Pollution Bulletin
Verified
Journal Article
Closed access
MEMohammed ElTurk
Mohammed ElTurk
RARosazlin Abdullah
Rosazlin Abdullah
MRM.Z. Rozainah
M.Z. Rozainah
NBNor Kartini Abu Bakar
Nor Kartini Abu Bakar

29 November 2022 in Molecules
Verified
Journal Article
Open access
PDF file
AWAnjar Windarsih
Anjar Windarsih
Florentinus Dika Octa RiswantoFlorentinus Dika Octa Riswanto
Florentinus Dika Octa Riswanto
NBNor Kartini Abu Bakar
Nor Kartini Abu Bakar
NYNancy Dewi Yuliana
Nancy Dewi Yuliana
DADachriyanus
Dachriyanus
Abdul RohmanAbdul Rohman
Abdul Rohman
Adulteration of high-quality meat products using lower-priced meats, such as pork, is a crucial issue that could harm consumers. The consumption of pork is strictly forbidden in certain religions, such as Islam and Judaism. Therefore, the objective of this research was to develop untargeted metabolomics using liquid chromatography-high resolution mass spectrometry (LC-HRMS) combined with chemometrics for analysis of pork in beef meatballs for halal authentication. We investigated the use of non-targeted LC-HRMS as a method to detect such food adulteration. As a proof of concept using six technical replicates of pooled samples from beef and pork meat, we could show that metabolomics using LC-HRMS could be used for high-throughput screening of metabolites in meatballs made from beef and pork. Chemometrics of principal component analysis (PCA) was successfully used to differentiate beef meatballs and pork meatball samples. Partial least square-discriminant analysis (PLS-DA) clearly discriminated between halal and non-halal beef meatball samples with 100% accuracy. Orthogonal projection to latent structures-discriminant analysis (OPLS-DA) perfectly discriminated and classified meatballs made from beef, pork, and a mixture of beef-pork with a good level of fitness (R2X = 0.88, R2Y = 0.71) and good predictivity (Q2 = 0.55). Partial least square (PLS) and orthogonal PLS (OPLS) were successfully applied to predict the concentration of pork present in beef meatballs with high accuracy (R2 = 0.99) and high precision. Thirty-five potential metabolite markers were identified through VIP (variable important for projections) analysis. Metabolites of 1-(1Z-hexadecenyl)-sn-glycero-3-phosphocholine, acetyl-l-carnitine, dl-carnitine, anserine, hypoxanthine, linoleic acid, and prolylleucine had important roles for predicting pork in beef meatballs through S-line plot analysis. It can be concluded that a combination of untargeted metabolomics using LC-HRMS and chemometrics is promising to be developed as a standard analytical method for halal authentication of highly processed meat products.