Preliminary Investigation towards the Use of Infrared Technology for Raw Milk Treatment

Author:

Danesi Luigi1ORCID,Nobile Maria1ORCID,Fontana Mauro2,Tirloni Erica1ORCID,Chiesa Luca Maria1,Savini Federica3,Villa Roberto Edoardo1ORCID,Panseri Sara1ORCID

Affiliation:

1. Department of Veterinary Medicine and Animal Science, University of Milan, Via dell’Università 6, 26900 Lodi, Italy

2. Dirigente Veterinario AULSS9 Scaligera, Via S.M. Crocifissa di Rosa, 37067 Verona, Italy

3. Department of Veterinary Medical Sciences, Faculty of Veterinary Medicine, University of Bologna, Ozzano Emilia, 40064 Bologna, Italy

Abstract

Infrared (IR) technology offers a promising solution for reducing microbiological loads in various food types while preserving their quality traits, such as flavour. However, research on IR’s application in complex matrices is limited. Therefore, our preliminary study aimed to evaluate its effectiveness in sanitizing bovine raw milk. We assessed the bacterial count before and after IR treatment by comparing volatile organic compound profiles via headspace extraction and GC/MS analysis. Our findings showed that higher energy levels led to a greater bacterial reduction. IR85 was the most effective in reducing Coliforms and Enterobacteriaceae in non-homogenised samples, with a reduction ranging from −1.01 to >−2.99 and from −1.66 to −3.09 Log CFU/mL, respectively. IR60 and 70 showed no efficacy, while IR80 had intermediate but still satisfactory effect. IR85 notably affected volatile compounds, particularly increasing hexanal (from 0.08 to 4.21 ng g−1) and dimethyl sulphone (from 10.76 to 26.40 ng g−1), while IR80 better preserved the aroma profile. As a result, only IR80 was tested with homogenised raw milk, demonstrating significant bacterial reduction (from >2.39 to 3.06 Log CFU/mL for Coliforms and from 1.90 to >2.45 Log CFU/mL for Enterobacteriaceae) and maintaining the aroma profile quality.

Funder

Piano Operativo Nazionale

Agritech National Research Center

Publisher

MDPI AG

Reference57 articles.

1. UN (2019). Global Sustainable Development Report 2019: The Future is Now—Science for Achieving Sustainable Development, United Nations.

2. FAO, IFAD, UNICEF, WFP, and WHO (2019). The State of Food Security and Nutrition in the World 2019—Safeguarding against Economic Slowdowns and Downturns, FAO.

3. Water and carbon footprint of selected dairy products: A case study in Catalonia;Vasilaki;J. Clean. Prod.,2016

4. (2024, March 15). Clal.it. Available online: https://www.clal.it/.

5. OECD/FAO (2020). OECD-FAO Agricultural Outlook, OECD Agriculture Statistics (Database).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3