Near-infrared spectroscopy: a non-destructive tool for processing quality evaluation of potatoes

被引：4

作者：

Joshi A. ^{[1
]}

Raigond P. ^{[1
]}

Singh B. ^{[1
]}

机构：

[1] Division of Crop Physiology, Biochemistry and Post-harvest Technology, ICAR-Central Potato Research Institute, Shimla, Himachal Pradesh

来源：

Indian Journal of Plant Physiology | 2017年 / 22卷 / 2期

关键词：

Dry matter; Moisture; Near-infrared spectroscopy; Non-destructive; Potato; Quality evaluation;

D O I：

10.1007/s40502-017-0291-2

中图分类号：

学科分类号：

摘要：

Dry matter and moisture content are two important quality parameters to judge the suitability of any potato cultivar for its ultimate utilization. A non-destructive and rapid method for determination of dry matter (D.M.) and moisture content (M.C.) in potatoes was standardized using near infrared spectrophotometer (NIRSp) system. Training and calibration of the instrument were done using fresh produce of potatoes (year 2014) harvested from Modipuram Campus of ICAR-CPRI whereas, validation of the application was done from fresh produce of same location and 13 advance coloured hybrids from Patna centre of ICAR-CPRI from the year 2015 produce. The predicted values for M.C. and D.M. content using NIRSp were in the range from 76.00 to 83.98 and 16.02 to 24.00% against 75.35 to 86.76 and 14.64 to 24.65%, of wet lab experimental values, respectively. This shows per cent error in M.C. and D.M. prediction vary from 0.86 to 3.20 and 2.70 to 9.43%, respectively. Complete randomization against the horizontal axis shows applicability and accuracy of the prediction through NIRSp developed applications. However, accuracy of prediction can be further enhanced by expanding the training/calibration sample sets. This developed application may be utilized for screening of large number of potato samples like at the time of bulk receiving by the industry, germplasm evaluation, hybrid selection and varietal development etc. © 2017, Indian Society for Plant Physiology.

引用

页码：258 / 262

页数：4

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