Author:
Adiani Vanshika,Gupta Sumit,Variyar Prasad S.
Abstract
AbstractMicrobial quality is the critical parameter determining the safety of refrigerated perishables. Traditional methods used for assessing microbial quality are time consuming and labour intensive. Thus rapid, non-destructive methods that can accurately predict microbial status is warranted. Models using partial least square regression (PLS-R) from chemical finger prints of minimally processed pineapple during storage obtained by Headspace Solid Phase Microextraction Gas Chromatography Mass Spectrometry (HS-SPME-GCMS), Fourier Transform Infrared (FTIR) spectroscopy and their data fusion are developed. Models built using FTIR data demonstrated good prediction for unknown samples kept under non-isothermal conditions. FTIR based models could predict 87 and 80% samples within ±1 log CFU/g for TVC and Y&M, respectively. Analysis of PLS-R results suggested the production of alcohols and esters with utilization of sugars due to microbial spoilage.
Publisher
Springer Science and Business Media LLC
Reference34 articles.
1. Abadias, M., Usall, J., Anguera, M., Solson, C. & Vinas, I. Microbiological quality of fresh, minimally-processed fruit and vegetables, and sprouts from retail establishments. Int. J. Food Microbiol. 123, 121–129 (2008).
2. Yoon, J., Lee, K. & Park, Y. A simple and rapid method for detecting living microorganisms in food using laser speckle decorrelation. arXiv preprint arXiv:1603.07343 (2016).
3. Argyri, A. A., Panagou, E. Z., Tarantilis, P. A., Polysiou, M. & Nychas, G.-J. E. Rapid qualitative and quantitative detection of beef fillets spoilage based on Fourier transform infrared spectroscopy data and artificial neural networks. Sensor Actuat B-Chem. 145, 146–154 (2010).
4. Adiani, V., Gupta, S., Padole, R., Variyar, P. S. & Sharma, A. SPME-GCMS integrated with chemometrics as a rapid non-destructive method for predicting microbial quality of minimally processed jackfruit (Artocarpus heterophyllus) bulbs. Postharvest Biol. Technol. 98, 34–40 (2014).
5. Adiani, V., Gupta, S., Ambolikar, R. & Variyar, P. S. Development of rapid method to assess microbial quality of minimally processed pomegranate arils using FTIR. Sensor Actuat B-Chem. 260, 800–807 (2018).
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献