* Corresponding Author
Indeks Subjek Volume 33, Tahun 2013
https://doi.org/10.22146/agritech.22033 Indeks Subjek Volume 33, Tahun 2013(1*)
(1)
(*) Corresponding Author
Abstract
Acid sulphate land 245
Acid-base indicator 320
Agroindustry 122, 235, 346
AHP 433
Algae 371
Amino acid 258
Ammonium sulphate 377
Analysis sistem 227
Anthocyanidin 320
Anthocyanin content 296
Antibacterial 46, 311
Antioxidant 155, 311, 371, 384
Antioxidant activity 296, 363
Antioxidant capacity 324
Antocyanin 384
Arginine/lysine ratio 2
Artificial neural networks 71, 450
Ascorbic acid 324
Acid-base indicator 320
Agroindustry 122, 235, 346
AHP 433
Algae 371
Amino acid 258
Ammonium sulphate 377
Analysis sistem 227
Anthocyanidin 320
Anthocyanin content 296
Antibacterial 46, 311
Antioxidant 155, 311, 371, 384
Antioxidant activity 296, 363
Antioxidant capacity 324
Antocyanin 384
Arginine/lysine ratio 2
Artificial neural networks 71, 450
Ascorbic acid 324
Full Text:
PDF DOI: https://doi.org/10.22146/agritech.22033
Article Metrics
Abstract views : 850
| 
views : 742
Refbacks
- There are currently no refbacks.
Copyright (c) 1970 Indeks Subjek Volume 33, Tahun 2013
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
agriTECH has been Indexed by:
agriTECH (print ISSN 0216-0455; online ISSN 2527-3825) is published by Faculty of Agricultural Technology, Universitas Gadjah Mada in colaboration with Indonesian Association of Food Technologies.