Effect of Storage on Cooking Quality Attributes and Fortificants Stability in Edible-Coated Iron-Folate Fortified Basmati Rice

Lipidomic analysis of grain quality variation in high quality aromatic japonica rice

To maintain the purity of the seeds and rice quality of the high-quality rice varieties, five lines with similar field and yield traits were selected from the Nanjing46 population in Liyang and used as study materials, and the original progeny were used as the control material for comparing rice quality and lipid metabolites in this study. The rice quality of the five lines still differed compared to CKN1. The Badh2-E2 gene was detected in all five lines, but its 2-AP content differed. The C11:0 content in CKN1 and VN1 was significantly greater than that in the other four lines. Most of the differentially abundant metabolites were phospholipids, including PA(16:0/18:2), PC(15:0/16:0) and PG(16:0/16:0). These metabolites can be used as potential metabolic markers for identifying quality variation. This study presents a novel methodology and theoretical framework for investigating varietal degradation and ensuring seed purity authentication.

Rice as a vehicle for micronutrient fortification: a systematic review of micronutrient retention, organoleptic properties, and consumer acceptability

CONTEXT

Previous reviews have focused on evaluating the efficacy and effectiveness of rice fortification, despite the need to also understand the outcomes of micronutrient retention, organoleptic properties, and acceptability to inform nutrition programs.

OBJECTIVE

This systematic review aims to consolidate existing evidence on micronutrient retention, organoleptic properties, and acceptability of fortified rice.

DATA SOURCES

Eligible articles were identified from 22 electronic databases and personal referrals and reviews.

STUDY SELECTION

Studies on rice fortified via extrusion or coating technologies were included in the review if they reported outcomes in at least 1 of 3 domains: micronutrient retention, organoleptic or physicochemical properties, and acceptability (evaluated by sensory tests and consumer surveys). Any years of publication and study populations were considered for inclusion. A total of 15 391 articles were screened, yielding 49 for inclusion.

DATA EXTRACTION

Study results were summarized descriptively through discussions by intervention conditions, study population, measurement methods, and key findings. The included studies were independently reviewed by 2 of the 3 authors, and all 3 authors reached consensus on the quality and major findings from the included articles.

RESULTS

Extrusion and coating fortification technologies were found to be comparable across studies that assessed retention, organoleptic properties, and acceptability. Cooking fortified rice in excess water increased micronutrient loss for both technologies. Fortified kernels containing ferric pyrophosphate, zinc oxide, or zinc sulfate showed the most positive results for all outcomes reviewed, while retention rates of vitamin A in multiple-micronutrient-fortified rice were variable.

CONCLUSIONS

The current practice of fortifying rice with ferric pyrophosphate provides high micronutrient stability and results in rice with organoleptic properties and consumer acceptance levels comparable to those of unfortified milled rice, although it presents challenges regarding the effect of vitamin A-fortified rice on vitamin A status.

Dynamic monitoring of fatty acid value in rice storage based on a portable near-infrared spectroscopy system

The fatty acid value of rice is one of the important indexes to reflect its freshness. A portable near-infrared spectroscopy (NIRS) system was designed and assembled to dynamically monitor fatty acid values in rice storage in this study. First, the near-infrared (NIR) spectra of rice samples in different storage periods were obtained using the portable NIRS system. Then, a weighted multiplicative scatter correction with variable selection (WMSCVS) algorithm was applied to the original spectra for scattering correction, and to compress variable space for achieving characteristic wavelengths. Finally, a partial least square (PLS) regression model was established using the characteristic wavelengths to realize the rapid monitoring of fatty acid values in rice storage. The results showed that the performance of the optimal PLS model based on the features by the WMSCVS algorithm was significantly better than those of the optimal PLS models based on SNV and MSC pre-processing spectra, with the determination coefficient (R_P²) of 0.9615 and the root mean square error of prediction (RMSEP) of 0.3626 in the predictive process. The overall results demonstrate that it is feasible to use the portable NIRS system developed by our team to quickly monitor the fatty acid values in rice storage.