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Cited by 261

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Refractance Window Dehydration Technology: A Novel Contact Drying Method

Open access
Nindo, C. I., Tang, J.·2007·Drying Technology

Abstract

Refractance Window® (RW) system is a novel drying method for converting liquid foods and other related biomaterials into powders, flakes, or sheets with added value. In this system, purees or juices prepared from fruits, vegetables, or herbs dry in short times, typically 3–5 min, resulting in products with excellent color, vitamin, and antioxidant retention. The RW drying systems are simple and relatively inexpensive when compared with freeze drying, which usually needs large installations to be economical. In RW drying systems thermal energy is transferred from hot water to a film of puree or juice spread thinly on a plastic conveyor belt. These drying systems operate at atmospheric pressure and are used for commercial production of scrambled egg mix, avocado powder, high carotenoid-containing algae, herbal extracts and human nutrition supplements, and food ingredients, as well as dried fruits and vegetables. This article presents the principle of Refractance Window® drying and highlights some results that show its potential and how it compares with other dryers for processing fruits, vegetables, and other heat-sensitive products.

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Crossref · 10.1080/07373930601152673

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Metadata

Authors
Nindo, C. I., & Tang, J.
Venue
Drying Technology
Published
2007-02-12
Volume
25
Issue
1
Pages
37-48
ISSN
  • 0737-3937 (ISSN-L)
  • 1532-2300
OpenAlex
W2054350466
Cited by
261
References
16
FWCI
3.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Refractance Window Dehydration Technology: A Novel Contact Drying Method. https://app.cochat.ai/papers/10.1080/07373930601152673
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Nindo, C. I., & Tang, J. (2007). Refractance Window Dehydration Technology: A Novel Contact Drying Method. Drying Technology. https://doi.org/10.1080/07373930601152673

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.