Corrigendum to: Cost-effective Paper-microfluidics Technology for the Assessment of Diverse Milk Adulterations

Following publication of the article entitled “Cost-effective Paper-microfluidics Technology for the Assessment of Diverse Milk Adulterations” [1], certain phrases and expressions were identified that were unclear or inconsistent with established scientific terminology. To ensure accuracy and clarity of the published record, these expressions have been corrected using appropriate terminology that more accurately conveys the intended scientific meaning. These corrections are limited to the wording and terminology of the affected passages and do not alter the data, results, scientific interpretations, or conclusions of the article. The specific corrections are provided below: Section 1, Paragraph 2 Original text: A variety of harmful additives are used to degrade milk, such as hydrogen peroxide, caramel, urea, melamine, formalin, boric corrosive, ammonium sulfate, cleansers, salt, neutralizers, maltodextrin, starch, sugars, clenbuterol, antibiotic medication, and water. Corrected text: A variety of harmful additives are used to degrade milk, such as hydrogen peroxide, caramel, urea, melamine, formalin, boric acid, ammonium sulfate, cleansers, salt, neutralizers, maltodextrin, starch, sugars, clenbuterol, antibiotic medication, and water. Section 2.5, Paragraph 1 Original text: The strong open-source PC vision and AI programming library OpenCV (Open-Source PC Vision Library) has been widely used in many applications. Corrected text: The strong open-source computer vision library and AI programming library OpenCV (Open-Source computer vision library) has been widely used in many applications. Section 2.5, Paragraph 1 Original text: (iv) AI: OpenCV uses AI to calculate picture grouping, recognition, and layout. Corrected text: (iv) AI: OpenCV uses AI to calculate image analysis and segmentation, recognition, and layout. Section 2.5, Paragraph 2 Original text: OpenCV is a powerful open-source PC vision library with several modules for handling images and videos, finding and extracting highlights, identifying objects, and performing artificial intelligence. Corrected text: OpenCV is a powerful open-source computer vision library with several modules for handling images and videos, finding and extracting highlights, identifying objects, and performing artificial intelligence. The original article has been updated accordingly. This corrigendum is published to ensure transparency and accuracy of the scholarly record. The corrected version of the article is available online at https://www.eurekaselect.com/article/149910 The authors regret these errors and apologise for any inconvenience they may have caused.