Detection and identification of Escherichia coli and Staphylococcus aureus by Raman spectroscopy
Issued Date
2019
Resource Type
Language
eng
Rights
Mahidol University
Rights Holder(s)
Faculty of Pharmacy Mahidol University
Suggested Citation
Sirichayaporn Huayhongthong, Piyatip Khuntayaporn, Pagakrong Wanapaisan, Krit Thirapanmethee, Chutima Phechkrajang, Nattawut Chareonthai, Mullika Traidej Chomnawang, ปิยทิพย์ ขันตยาภรณ์, ผกากรอง วนไพศาล, กฤษณ์ ถิรพันธุ์เมธี, ชุติมา เพชรกระจ่าง, ณัฐวุฒิ เจริญไทย, มัลลิกา (ไตรเดช) ชมนาวัง (2019). Detection and identification of Escherichia coli and Staphylococcus aureus by Raman spectroscopy. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/52390
Title
Detection and identification of Escherichia coli and Staphylococcus aureus by Raman spectroscopy
Abstract
Food-borne infection is one of the main reasons affecting public health problem
worldwide. Therefore, food safety is highly concerned for the food production system and the
rapid-testing process is still required in order to prevent contamination before commercially
distributed to consumers. Bacterial detection process is becoming one of the most critical steps
in the food production chain. Raman spectroscopy is considered as an alternative technique to
rapidly detect and identify the microorganism. In this study, Raman spectroscopy was applied
to detect and identify the food-borne pathogens, including Gram-positive and Gram-negative
bacteria. The multivariate statistical analysis of principal component analysis (PCA) was used
to distinguish these microorganisms based on their Raman spectroscopic fingerprints. Our
study demonstrated that the physiological state of microorganism species had an influence on
the identification sensitivity. In addition, there were significant differences between Raman
spectra of Gram-negative and Gram-positive bacteria. The resultant plots showed that the
bacterial spectra displayed degree of discrimination and accuracy identification in calculating
accounted for 73.39% of total variance of the first and second principal components (PC-1 and
PC-2) of the analyzed data sets. In conclusion, the study suggested that Raman spectroscopy
could be utilized for food quality control with reliable and rapid identification.
Description
The 1st Pharmaceutical Sciences Asia Conference 2019 Theme : Pharmaceutical Sciences toward Health Innovation in the Disruptive Era. Bangkok Midtown Hotel, Thailand. August 22, 2019, page 45-48