Minimal Processing of Foods and Process Optimization

Author	: R. Paul Singh
Publisher	: CRC Press
Total Pages	: 544
Release	: 1994-05-23
ISBN-10	: 0849379032
ISBN-13	: 9780849379031
Rating	: 4/5 (031 Downloads)

DOWNLOAD EBOOK

Book Synopsis Minimal Processing of Foods and Process Optimization by : R. Paul Singh

Download or read book Minimal Processing of Foods and Process Optimization written by R. Paul Singh and published by CRC Press. This book was released on 1994-05-23 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Audience

Minimal Processing of Foods and Process Optimization Related Books

Language: en
Pages: 544

Minimal Processing of Foods and Process Optimization

Authors: R. Paul Singh

Categories: Technology & Engineering

Type: BOOK - Published: 1994-05-23 - Publisher: CRC Press

DOWNLOAD EBOOK

Audience

Language: en
Pages: 442

Processing Foods

Authors: Fernanda A. R. Oliveira

Categories: Technology & Engineering

Type: BOOK - Published: 2019-05-24 - Publisher: CRC Press

DOWNLOAD EBOOK

Processing Foods: Quality Optimization and Process Assessment provides a large body of updated information - helping researchers and industrialists make use of

Language: en
Pages: 286

Osmotic Dehydration and Vacuum Impregnation

Authors: Pedro Fito

Categories: Technology & Engineering

Type: BOOK - Published: 2019-04-23 - Publisher: CRC Press

DOWNLOAD EBOOK

This volume in the Food Preservation Technology Series presents the latest developments in the application of two solid-liquid operations, Osmotic Dehydration (

Language: en
Pages: 698

Handbook of Food Science, Technology, and Engineering

Authors: Yiu H. Hui

Categories: Business & Economics

Type: BOOK - Published: 2006 - Publisher: CRC Press

DOWNLOAD EBOOK

Language: en
Pages: 788

Optimization in Food Engineering

Authors: Ferruh Erdogdu

Categories: Science

Type: BOOK - Published: 2008-12-09 - Publisher: CRC Press

DOWNLOAD EBOOK

While mathematically sophisticated methods can be used to better understand and improve processes, the nonlinear nature of food processing models can make their