Predictive modelling of health aspects in the food production chain : a case study on glucosinolates in cabbage

Research output: Contribution to journal › Article › Academic › peer-review

113 Citations (Scopus)

Original language	English
Pages (from-to)	174-181
Journal	Trends in Food Science and Technology
Volume	11
DOIs	https://doi.org/10.1016/S0924-2244(00)00062-5
Publication status	Published - 2000

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{d89f1e507da34a1f8ee35680ce341ba7,

title = "Predictive modelling of health aspects in the food production chain : a case study on glucosinolates in cabbage",

author = "M. Dekker and R. Verkerk and W.M.F. Jongen",

year = "2000",

doi = "10.1016/S0924-2244(00)00062-5",

language = "English",

volume = "11",

pages = "174--181",

journal = "Trends in Food Science and Technology",

issn = "0924-2244",

publisher = "Elsevier",

}

TY - JOUR

T1 - Predictive modelling of health aspects in the food production chain : a case study on glucosinolates in cabbage

AU - Dekker, M.

AU - Verkerk, R.

AU - Jongen, W.M.F.

PY - 2000

Y1 - 2000

U2 - 10.1016/S0924-2244(00)00062-5

DO - 10.1016/S0924-2244(00)00062-5

M3 - Article

SN - 0924-2244

VL - 11

SP - 174

EP - 181

JO - Trends in Food Science and Technology

JF - Trends in Food Science and Technology

ER -