Dataset Information

Distribution Analysis of Twelve Mycotoxins in Corn and Corn-Derived Products by LC-MS/MS to Evaluate the Carry-Over Ratio during Wet-Milling.

ABSTRACT: This study investigated the distribution of twelve mycotoxins (aflatoxins B?, B?, G?, and G?; ochratoxin A; fumonisins B? and B?; deoxynivalenol; nivalenol; zearalenone; T-2 toxin; and HT-2 toxin) in corn and corn by-products (corn bran, cornstarch, corn gluten, corn gluten feed, corn germ, light steep water, and corn steep liquor) produced by wet-milling in Korea. Fifty-two samples were collected from three factories producing cornstarch and other corn by-products. The samples were pretreated on an immunoaffinity column (IAC), and then the levels of the 12 mycotoxins were analyzed simultaneously by liquid chromatography-coupled triple-quadrupole mass spectrometry (LC-MS/MS). Fusarium mycotoxins were mainly found in raw corn and corn gluten feed samples. Other mycotoxins-such as aflatoxins, ochratoxin A, and HT-2 toxin-were detected in tiny amounts below the limit of quantification (LOQ) in cornstarch, corn germ, and corn bran. Ochratoxin A and nivalenol were mainly carried over into cornstarch. Aflatoxin B?, deoxynivalenol, T-2 toxin, HT-2 toxin, and the fumonisins were concentrated in corn gluten feed. Zearalenone was evenly distributed in all corn by-products except cornstarch during the milling process.

SUBMITTER: Park J

PROVIDER: S-EPMC6115783 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Distribution Analysis of Twelve Mycotoxins in Corn and Corn-Derived Products by LC-MS/MS to Evaluate the Carry-Over Ratio during Wet-Milling.

Park Juhee J Kim Dong-Ho DH Moon Ji-Young JY An Jin-Ah JA Kim Young-Woo YW Chung Soo-Hyun SH Lee Chan C

Toxins 20180806 8

This study investigated the distribution of twelve mycotoxins (aflatoxins B₁, B₂, G₁, and G₂; ochratoxin A; fumonisins B₁ and B₂; deoxynivalenol; nivalenol; zearalenone; T-2 toxin; and HT-2 toxin) in corn and corn by-products (corn bran, cornstarch, corn gluten, corn gluten feed, corn germ, light steep water, and corn steep liquor) produced by wet-milling in Korea. Fifty-two samples were collected from three factories producing cornstarch and other corn by-products. The samples were pretreated o ...[more]

PMID: 30082663

Similar Datasets

Project description:BackgroundEnzymatic corn wet milling (E-milling) is a process derived from conventional wet milling for the recovery and purification of starch and co-products using proteases to eliminate the need for sulfites and decrease the steeping time. In 2006, the total starch production in USA by conventional wet milling equaled 23 billion kilograms, including modified starches and starches used for sweeteners and ethanol production 1. Process engineering and cost models for an E-milling process have been developed for a processing plant with a capacity of 2.54 million kg of corn per day (100,000 bu/day). These models are based on the previously published models for a traditional wet milling plant with the same capacity. The E-milling process includes grain cleaning, pretreatment, enzymatic treatment, germ separation and recovery, fiber separation and recovery, gluten separation and recovery and starch separation. Information for the development of the conventional models was obtained from a variety of technical sources including commercial wet milling companies, industry experts and equipment suppliers. Additional information for the present models was obtained from our own experience with the development of the E-milling process and trials in the laboratory and at the pilot plant scale. The models were developed using process and cost simulation software (SuperPro Designer) and include processing information such as composition and flow rates of the various process streams, descriptions of the various unit operations and detailed breakdowns of the operating and capital cost of the facility.ResultsBased on the information from the model, we can estimate the cost of production per kilogram of starch using the input prices for corn, enzyme and other wet milling co-products. The work presented here describes the E-milling process and compares the process, the operation and costs with the conventional process.ConclusionThe E-milling process was found to be cost competitive with the conventional process during periods of high corn feedstock costs since the enzymatic process enhances the yields of the products in a corn wet milling process. This model is available upon request from the authors for educational, research and non-commercial uses.

Dataset Information

Distribution Analysis of Twelve Mycotoxins in Corn and Corn-Derived Products by LC-MS/MS to Evaluate the Carry-Over Ratio during Wet-Milling.

Publications

Distribution Analysis of Twelve Mycotoxins in Corn and Corn-Derived Products by LC-MS/MS to Evaluate the Carry-Over Ratio during Wet-Milling.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure